IDAEO Zone

Figure Relationship Map

The seven laws are the core, the five dimensions are the framework, and the nine elements are the components

36 figures · 9 sections⬇ Download full AtlasPNG

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The roof is the core and theory

Core

What IDAEO Is

The three eras of marketing, showing the expansion of Marketing Audiences

Read the three eras from left to right and compare the five characteristics from top to bottom; the rightmost column is IDAEO.

Marketing
Definition
Marketing = getting the right customers to find you, trust you, and choose you
Era
Traditional Marketing
Online Marketing
AI-Era Marketing (IDAEO)
How customersfind you
Ads, word of mouth
Search online themselves
Ask AI directly
Who decides
Media space
Search rankings
AI answers
MarketingAudiences
Humans
Humans + Search Engines
Humans + Four AI Audiences
What you do
Advertising, PR
SEO, keyword ads, social media
Six Domains + Verification
What countsas results
Reach, sales
Clicks, conversions
AI Content Use, customer visits
ID
EO
Original framework © 2026

Related figures：Figure 8-3

Figure 0-1Evolution of the Three Marketing Eras

The Five Dimensions of IDAEO Marketing are the framework

Read from top to bottom: the one-line definition, the five dimensions, and the nine elements; each cell corresponds to the dimension above it, and the bottom row marks, by figure number and figure name, where each element is expanded.

Definition
In one line
IDAEO = AI-Era Marketing
Five Dimensions
①
Audience Strategy
For whom
Chapter 1
②
Journey Design
Which steps to take
Chapter 2
③
Trust &Verification
Why trust it
Chapter 4
④
Service Tiers
To which tier
Chapter 5
⑤
Performance Measurement
Counting results
Chapter 6
Nine Elements
Core Structure
MarketingAudiences
OptimizationDomains
CustomerJourney
JourneyDiagnostics
IDAEO
Solutions
VerificationPrinciples
Service Tiers
PerformanceMetrics
First-Party
Data
Expanded in
which figure
Figure 1-1
Five Marketing
Audiences
Figure 1-1
Five Marketing
Audiences
Figure 2-1
AI CustomerJourney
Map
Figure 2-2
Diagnostics
Gate Map
Figure 5-2
Metrics
MappingMatrix
Figure 4-1
IDAEO
VerificationModel
Figure 5-1
Service Tiers
Ladder
Figure 5-2
Metrics
MappingMatrix,
Figure 6-1
Full-Journey
Dashboard
Figure 6-1
Full-Journey
Dashboard
ID
EO
Original framework © 2026

Related figures：Figure 8-3、Figure 1-1、Figure 2-1、Figure 4-1、Figure 5-1、Figure 6-1、Figure 2-2、Figure 5-2、Figure 7-1

Figure 0-2Panorama of the IDAEO Theory Framework: Five Dimensions and Nine Elements

The Seven Laws of IDAEO are the core of the entire book

Read from top to bottom: law name, one-line summary, why, and corresponding dimension. The bottom row connects to Figure 0-2, “Panorama of the IDAEO Theory Framework,” linking the core principles to the framework. All seven laws land on the ten steps. Journey Design is where the seven laws are put into practice together, so the bottom row of Figure 8-3 does not list it separately. Services stack up tier by tier on the same entity, so the Law of Identity Continuity corresponds to Service Tiers. When cross-checking the same entity across sources, see whether AI links different content back to that entity. If consistent identity information still leads to misidentification, revisit this law.

Law
Core
The Seven Laws of IDAEO: Fundamental Principles of AI-Era Marketing
Seven Laws
Audience
Law of Audience
Adaptation
Identity
Law of Identity
Continuity
Verification
Law of
Independent
Verification
Fact Primacy
Law of Fact
Primacy
Traceability
Law of Claim
Traceability
Corroboration
Law of External
Corroboration
Full Journey
Law of
Full-Journey
Outcomes
In one line
Expression fits
the audience
Identity stays
consistent
Checks cost;
facts decide
Only verified
facts count
Every claim
is traceable
Claims need
corroboration
Every AI use
is an outcome
Why
Humans and AI
understand info
in different ways
What AI knows
grows over time
Credibility needs
judgment free of
client influence
Once verified,
AI trusts it
Traceable, AI
is confident
to cite it
Outside views
balance one side
In AI answers,
customers decide
Dimension
① Audience
For whom
④ Service Tiers
To which tier
③ Trust and Verification
Why trust it
⑤ PerformanceMeasurement
Counting results
ID
EO
Original framework © 2026

Related figures：Figure 0-1、Figure 0-2

Figure 8-3The Seven Laws of IDAEO: Overview Map

AI Visibility and Theory

Back into the full journey, matched to theory

AI Visibility metrics are set against the full journey, stressing that the fundamentals are S1–S4

Read from top to bottom: the ten steps, industry topics, industry metrics, IDAEO Journey Diagnostics, and Service Tiers; each column is the same step.

Journey Steps
See Figure 2-1
S1
Prepare
S2
Crawl
S3
Train
S4
Index
S5
Ask AI
S6
AI Mention
S7
AI Answer
S8
Act
S9
Visit
S10
Return
Who is talking
The fundamentals of AI Visibility: S1–S4
AI has to read you first before you show up in its answers
What outsiders call “AI Visibility”
Whether you are in AI answers
Downstream: act, visit, return
The outside still rarely measures this
Outside metrics
Vendor tools
Covered by IDAEO Journey Diagnostics
Question
coverage
phrasings that
surface you
Mention %
mentioned
how often,
vs. peers
Citation %
whether it
links to you,
gets it right
or wrong
Covered by IDAEO Journey Diagnostics
IDAEO
Diagnostics
See Figure 2-1
Is the datacomplete?
Can theyget in?
Can itbe used?
Is itindexed?
Came toread?
Were younamed?
Did it getit right?
Can it getit done?
Did theyshow up?
Did theyreturn?
IDAEO
Service Tiers
Links to Figure 5-1
AEO Exposure
AEO+ Word of Mouth
IDA Brand PR
S1–S4 is the base: without it, AI can hardly read you
AI has to read you first before you appear in its answers; visibility is the result of S5–S7, and the foundation is S1–S4.
ID
EO
Original framework © 2026

Related figures：Figure 8-2、Figure 2-1、Figure 5-1

Figure 8-1AI Visibility Positioning Map: Where Visibility Sits in the Full Journey

17 existing theories are arranged by the five dimensions, and each cell lists the source and the application

In each cell, look at the author, year, and theory first, then follow the arrow to the corresponding IDAEO design. The arrows show analogies. They do not mean that the theory proves IDAEO's validity.

Five Dimensions
① Audience Strategy
For whom
② Journey Design
Which steps to take
Theory
RAG
Lewis et al. 2020 |
AI retrieves first →
Real-Time Retrieval
Principal–Agent
Jensen, Meckling
1976 | AI Agents are
the customer's agents
AI-Readable Specs
RFC 9309,
schema.org |
AI follows site rules
→ AI allowed through
Customer Journey
McKinsey 2009,
Google 2011 |
Consumer decisions loop back →
Ten Steps
Attention Scarcity
Simon 1971 |
AI names only a few → S6
Five Dimensions
④ Service Tiers
To which tier
⑤ Performance Measurement
Counting results
Theory
Signaling Theory
Spence 1973 |
A signal needs a cost
the weak can't pay,
to be credible →
tiers, badges
Maturity Model
Paulk et al. 1993 |
Capability in levels,
step by step →
IDAEO Service Tiers
Versioned Pricing
Shapiro, Varian
1998 | One product
offered in versions →
IDAEO Service Tiers
with different content
Effects Hierarchy
Lavidge, Steiner
1961 | Awareness,
liking, then action →
Exposure,Word of Mouth,
Brand PR
Share of Voice
Jones 1990 |
Read share of voice
with market share →
AI Mention Rate
Goodhart's Law
Goodhart 1975 |
Targeted metrics fail
→ not just clicks,
AI use at every step
Five Dimensions
③ Trust and Verification
Why trust it
Theory
Info Asymmetry
Akerlof 1970 |
Unsure? It dares not
cite → verify
Source Credibility
Hovland,
Weiss 1951 |
Who says it
sways belief →
facts labeled with
who said it
Trust Elements
Mayer et al. 1995 |
Ability, benevolence,
integrity; updated
→ re-verify on expiry
Entity Resolution
Fellegi, Sunter
1969 | Match many
fields per firm →
Official registry check
Data Provenance
W3C PROV 2013 |
Each record's source,
when → kept verbatim
Certifiers
Lizzeri 1999 |
Certifiers choose
what to disclose→ IDAEO
sources every item,
draws no verdicts
ID
EO
Original framework © 2026

Related figures：Figure 8-1、Figure 2-4、Figure 6-6

Figure 8-2IDAEO Theoretical Foundations Map

The five pillars are the five dimensions

Audience Strategy

For whom

The functions, Optimization Domains, and measured results of the Five Marketing Audiences, shown together

Read top to bottom: Audience Strategy, Marketing Audiences, function, Optimization Domains, visit counts, visitor types, and the top four.

① Audience
For whom
Five Marketing Audiences: Functions, Optimization Domains, Measured Results
It Is Not Only People Who Read You: Five Marketing Audiences, Each with Its Own Way of Reading
Audiences
Five Audiences
Humans
Humans
Search Engine Crawlers
Search Engine Crawlers
AI Crawlers
AI Crawlers
AI Agent
AI Agents
Automated Bots
Automated
Bots
Functions
What It Comes to Do
OrganicTraffic
Organic
Traffic
Local Search
Local Search
Build Search
Index
Build Search
Index
Generate AI
Overviews
Generate AI
Overviews
Copy Back
for Training
Model
Training
Build AI
Index
Build AI
Index
Real-TimeRetrieval
Real-Time
Retrieval
Act for Users
Address Lookups
Act on
Behalf of
Users
Automated
Information Services
Automated
Information
Services
Domains
Six Domains
Visits
3/3–10/8
Visitor Types
3 types
Search, AI, Maps
15 types
8 types
7 types
13 types
13+ types
20+ types
Most Frequent
Top four by count
268,000
20,000
10,000
9,388
24.62M
12.05M
3.41M
510,000
24.48M
11.58M
10.6M
5.45M
P
2.82M
760,000
220,000
130,000
640,000
11,000
2,494
1,624
Browsing
17.95M
TollBit
130,000
mcpbeat
7,925
5,683
Golemreach
AI Tools
7.08M
Tracking
150,000
SEO crawlers
3.51M
Previews
170,000
ID
EO
Original framework © 2026
Audience Strategy
Marketing
Audiences
Functions
Optimization
Domains
Visits
Visitor Types
Top Platforms
Organic Traffic
(from 8/26)
Local Search
Same Search Engine Crawlers,
shared by two functions
OrganicTraffic
Result of the Six
Optimizations
MEO
Map Engine
Optimization
Local SEO
GBP Optimization
SEO
SearchEngine
Optimization
SXO
Technical
SEO
AIO
AI Overview
Optimization
AEO
Answer Engine
Optimization
SGE Optimization
LLMO
LLM
Optimization
LLM SEO
S4 function
Builds AI index
(not GEO)
GEO: generative
answer visibility
See glossary
AEO
Answer Engine Optimization
Answer Engine Optimization
VSO (Voice Search), AAO, AXO,
AAIO (Optimization for AI Agents)
309,826
41.26M
52.2M
3.99M
0.65M
18.09M
7.23M
Map Engine
Optimization
Search
Engine
Optimization
AI Overview
Optimization
Large
Language
Model
Optimization
Indexing
function,
not GEO
Answer
Engine
Optimization
Tracking

Related figures：Figure 1-2、Figure 0-2、Figure 5-1、Figure 2-1、Figure 7-3、Figure 1-3、Figure 1-4

Figure 1-1Panorama of the Five Marketing Audiences: Functions, Optimization Domains, and Measured Results

How do you decide which category of AI traffic an AI request belongs to?

Start from the request at the top and read down through the classification basis and function; the end point is which of the Marketing Audiences it belongs to.

How do you decide which category of AI traffic an AI request belongs to? (2026/3/3–10/8)
Rounded box = start/end; diamond = decision; rectangle = result; dashed box = Black Box (inside AI Platforms); arrow thickness roughly follows volume.
A request comes in 197 million requests
Is it an AI/search request?
(AI use + browsing)
No: 80.5M
Type: AI tools
7.08 million
Type: Tracking in Progress
153,000
Type: all other traffic
73.27 million
Yes, 116 million
Why is it here? (AI traffic type)
Type: AI Crawlers·training
S3 Train
52.2 million requests
Anthropic, Meta, etc.
Type: search crawlers
S4 Index
41.26 million requests
Search index + AI Overviews
Type: AI index crawlers
S4 Index
3.99 million requests
Builds AI index (our AI Search, etc.)
Type: real-time crawlers
S5 Ask
651,000 requests
Real-time (OpenAI 635,000)
Type: task-tool crawlers
S8 Act
144,000 requests
Acts for people (logged)
Type: AI Agents browsing
S8 Act
17.95 million requests
AI Agents (automated browsing)
In-platform: Tracking
Black Box: inside AI Platforms
After training and indexing, use in AI answers: Tracking in Progress
Black Box: inside AI Platforms
Task process: Tracking
Was it used by search or AI?
Google/Bing provide search & AI data
Others
Black Box: inside AI Platforms
Search/AI use on other platforms: Tracking in Progress
Yes (Google, Bing)
Type: S4 Index
657,000 pages
Bing + Google (September)
Type: S6 Mention
about 8.22 million times
Search impressions (approx.)
Type: S7 Answer
31,711 times
Copilot (7/22–10/8)
Did customers visit?
No
Type: Tracking in Progress
Referral sources still being tracked
Yes, 309,826
Type: S9 Visit (Organic Traffic)
309,826 (referral source records)
Google 267,734・Microsoft 20,053・Yahoo Japan 10,278
1. Period: total site traffic 2026/2/12–10/8; logged AI categories 2026/3/3–10/8; AI Agents automated browsing 2026/8/26–10/8.
2. “Yes” = identifiable AI/search use, 116,203,857 requests; “No” = Automated Information Services 7,231,923 requests + all other traffic 73,266,746 requests.
3. Indexed pages are approximate figures for September 2026 (Bing 375,000 + Google 282,000); search result impressions about 8.22 million (Google + Bing); AI citations are Copilot, 2026/7/22–10/8.
4. Organic Traffic of 309,826 is from referral source records; its unit of measurement differs from indexed pages, search result impressions, and AI citations.
Meta 9,388·DuckDuckGo 1,049·Baidu 713·other sources 611
ID
EO

Related figures：Figure 1-1、Figure 1-3

AI Traffic Classification Tree: How Do You Tell Which Type of AI Traffic an AI Request Belongs To?
Item	Value
Type: AI tools	7.08 million
Type: Tracking in Progress	153,000
Type: all other traffic	73.27 million
Type: AI Crawlers·training	52.2 million
Type: search crawlers	41.26 million
Type: AI index crawlers	3.99 million
Type: real-time crawlers	651,000
Type: task-tool crawlers	144,000
Type: AI Agents browsing	17.95 million

CSV

Figure 1-2AI Traffic Classification Tree: How Do You Tell Which Type of AI Traffic an AI Request Belongs To?

The AI Platforms and crawlers that correspond to each function

Read from root to branch: function, AI Platforms, and crawlers; the same company on different branches means it takes part in different functions.

Crawler Family Tree
2026/3/3–10/8 · 123 million AI requests → purpose → AI Platforms → crawlers/automated browsing (60) · branch width = √requests
Root
Logged + separate browsing
Layer 1 · Purpose
7 categories, by function & audience
Layer 2 · AI Platforms
Dot = brand color/gray
Layer 3 · Crawlers/automated browsing (60 entries)
Capsule = name + requests; gray = function; sorted by requests
AI requests (all)
123 million
Unit: number of requests
Copies to train
S3
52.2M
42.3% of total
AI Crawlers
Builds search index
S4
41.26M
33.4% of total
Search crawlers + AI Overviews
Builds AI index
S4
3.99M
3.2% of total
AI Crawlers
Someone asks AI
S5
651,000
0.5% of total
Real-time retrieval (AI Crawlers)
Acts for customers
S8
18.09M
14.7% of total
AI Agents (incl. automated browsing)
AI Tools
7.08M
5.7% of total
Automated Bots · Info Services
Tracking
153,000
0.1% of total
Automated Bots · Info Services
Anthropic
Meta
OpenAI
Amazon
Tracking
Common Crawl
Microsoft
Google
Yandex
ByteDance
Sogou
Tracking
DuckDuckGo
Baidu
Brave
Yahoo Japan
Apple
Our AI Search
OpenAI
Perplexity
Parallel
Huawei
Linkup
Anthropic
You.com
Tracking
Kagi
OpenAI
Perplexity
Anthropic
DuckDuckGo
Google
Tracking
Mistral
Separately
TollBit
mcpbeat
Golemreach
Tracking
Andi
AgentTools-Cloud
Tracking
Google
DeepSeek
Tracking
Anthropic
Cohere
NICT
ROIS
ClaudeBot 24.48M
Copies back for training
meta-externalagent 11.58M
Copies back for training
GPTBot 10.6M
Copies back for training
Amazonbot 5.45M
Copies back for training
Reflectionbot 64,000
Copies back for training
Info service crawlers 307
Copies back for training
Other browsers 39
Copies back for training
CCBot 19,000
Copies back for training
bingbot 12.05M
Search index + AI Overviews
Googlebot 3.41M
Search index + AI Overviews
YandexBot 511,000
Search index + AI Overviews
Bytespider 256,000
Search index + AI Overviews
Sogou 253,000
Search index + AI Overviews
Other crawlers 31,000
Search index + AI Overviews
DuckDuckBot 12,000
Search index + AI Overviews
Baiduspider 4,630
Search index + AI Overviews
Bravebot 39
Search index + AI Overviews
Y!J-DLC 30
Search index + AI Overviews
Applebot 24.62M
Search index + AI Overviews
AI Search 2.81M
Builds AI index
AI Search External 5,918
Builds AI index
OAI-SearchBot 761,000
Builds AI index
PerplexityBot 218,000
Builds AI index
ShapBot 126,000
Builds AI index
PetalBot 114,000
Search index + AI Overviews
LinkupBot 60,000
Builds AI index
Claude-SearchBot 11,000
Builds AI index
YouBot 596
Search index + AI Overviews
Googlebot-Video 5
Search index + AI Overviews
Kagibot 4
Search index + AI Overviews
ChatGPT-User 635,000
Real-Time Retrieval
Perplexity-User 11,000
Real-Time Retrieval
Claude-User 2,494
Real-Time Retrieval
DuckAssistBot 1,624
Real-Time Retrieval
Google NotebookLM 464
Real-Time Retrieval
Gemini DeepResearch 10
Real-Time Retrieval
Python-urllib 19
Real-Time Retrieval
TABINOTE-ArrivalAudit 2
Real-Time Retrieval
curl 2
Real-Time Retrieval
HatchFeed 1
Real-Time Retrieval
MIN-SourceReview 1
Real-Time Retrieval
Meta-WebIndexer 1
Real-Time Retrieval
MistralAI-User 6
Real-Time Retrieval
AI Agents (browsing) 17.95M
Browsing (separate)
tollbot 126,000
Errands, address lookups
mcpbeat 7,925
Errands, address lookups
GolemreachTrustBot 5,683
Errands, address lookups
Real-browser AI Agents 5,102
Errands, address lookups
(separate)
Andi-AgentSurfaceProbe 1,956
Errands, address lookups
agent-tools.cloud-crawler 1,866
Errands, address lookups
AI tools 7.08 million
AI Tools
GoogleOther 142,000
Tracking in Progress
GoogleOther-Image 34
Tracking in Progress
DeepSeek 9,551
Tracking in Progress
HanaleiBot 574
Tracking in Progress
anthropic-ai 27
Tracking in Progress
Claude-Web 21
Tracking in Progress
CohereBot 30
Tracking in Progress
ICC Crawler 30
Tracking in Progress
Cotoyogi 2
Tracking in Progress
Logged 105,487,618 requests (2026/3/3–10/8) + AI Agents automated browsing 17,948,162 requests (2026/8/26–10/8) = tree root 123,435,780 requests.
Automated Bots = AI tools 7,079,310 requests + Tracking in Progress 152,613 requests; the Search Engine Crawlers' search indexing and AI Overview generation come from the same batch of requests.
Branch thickness follows the original figure, scaled to the square root of request counts (at least 1.5px); each row is attached only once. Capsule values are rounded in units of ten thousand / one hundred million.
ID
EO

Related figures：Figure 1-2、Figure 1-4、Figure 1-1

AI Platforms and Crawlers Family Tree: Which Companies and Which Crawlers Sit Under Each Function
Item	Value
ClaudeBot	24.48M
meta-externalagent	11.58M
GPTBot	10.6M
Amazonbot	5.45M
Reflectionbot	64,000
Info service crawlers	307
Other browsers	39
CCBot	19,000
bingbot	12.05M
Googlebot	3.41M
YandexBot	511,000
Bytespider	256,000
Sogou	253,000
Other crawlers	31,000
DuckDuckBot	12,000
Baiduspider	4,630
Bravebot	39
Y!J-DLC	30
Applebot	24.62M
AI Search	2.81M
AI Search External	5,918
OAI-SearchBot	761,000
PerplexityBot	218,000
ShapBot	126,000
PetalBot	114,000
LinkupBot	60,000
Claude-SearchBot	11,000
YouBot	596
Googlebot-Video	5
Kagibot	4
ChatGPT-User	635,000
Perplexity-User	11,000
Claude-User	2,494
DuckAssistBot	1,624
Google NotebookLM	464
Gemini DeepResearch	10
Python-urllib	19
TABINOTE-ArrivalAudit	2
curl	2
HatchFeed	1
MIN-SourceReview	1
Meta-WebIndexer	1
MistralAI-User	6
AI Agents (browsing)	17.95M
tollbot	126,000
mcpbeat	7,925
GolemreachTrustBot	5,683
Real-browser AI Agents	5,102
Andi-AgentSurfaceProbe	1,956
agent-tools.cloud-crawler	1,866
AI tools	7.08M
GoogleOther	142,000
GoogleOther-Image	34
DeepSeek	9,551
HanaleiBot	574
anthropic-ai	27
Claude-Web	21
CohereBot	30
ICC Crawler	30
Cotoyogi	2

CSV

Figure 1-3AI Platforms and Crawlers Family Tree: Which Companies and Which Crawlers Sit Under Each Function

Answers “What kinds of AI Crawlers are there?” and lists every traffic source at once: which companies appear in each of the five traffic categories, which crawlers each company sends, and how many visits each made

From left to right are the five traffic categories, with each category's total at the top of its column; within a column, rows are grouped by family, one crawler per row with its visit count, and a blank means no traffic. In the AI Crawlers column, the dot on the three-position track shows which journey step that crawler sits at. This figure follows each company's official documentation (checked Oct 14, 2026), which places Applebot, PetalBot, YouBot, and Kagibot under Search Engine Crawlers, the same classification used in the main text. Data period Mar 3, 2026–Oct 8; ＊ marks records counted separately.

Related figures：Figure 1-3、Figure 1-1

Figure 1-4IDAEO Traffic Atlas: Five Traffic Categories, Each Family, and Every Crawler

Journey Design

Which steps to take

AI Customer Journey: Four Phases, Ten Steps, mapped against Marketing Audiences and Journey Diagnostics

Read top to bottom: journey phase, journey step, who is acting, Journey Diagnostics. The five small cells in each step stand for the Five Marketing Audiences in order: dark green is the lead, medium green takes part, light green is slightly involved, and gray is the remaining roles.

② Journey Design
Which steps to take
AI Customer Journey Map: Four Phases, Ten Steps
From Figure 0-2
Journey Phases
Phase One
Readiness
Phase Two
AI Information Acquisition
Phase Three
AI-Assisted Decision and Action
Phase Four
Conversion & Return
Journey Steps
S1
Prepare
S2
Crawl
S3
Train
S4
Index
S5
Ask AI
S6
AIMention
S7
AIAnswer
S8
Act
S9
Visit
S10
Return
Who is acting
See Figure 1-1
Marketing Audiences
Humans
Search EngineCrawlers
AI Crawlers
AI Agent
AutomatedBots
Humans
Search EngineCrawlers
AI Crawlers
AI Agent
AutomatedBots
Humans
Search EngineCrawlers
AI Crawlers
AI Agent
AutomatedBots
Humans
Search EngineCrawlers
AI Crawlers
AI Agent
AutomatedBots
Humans
Search EngineCrawlers
AI Crawlers
AI Agent
AutomatedBots
Humans
Search EngineCrawlers
AI Crawlers
AI Agent
AutomatedBots
Humans
Search EngineCrawlers
AI Crawlers
AI Agent
AutomatedBots
Humans
Search EngineCrawlers
AI Crawlers
AI Agent
AutomatedBots
Humans
Search EngineCrawlers
AI Crawlers
AI Agent
AutomatedBots
Humans
Search EngineCrawlers
AI Crawlers
AI Agent
AutomatedBots
Diagnostics
What this step asks
Is the datacomplete?
Can theyget in?
Can itbe used?
Is itindexed?
Came toread?
Were youmentioned?
Did it getit right?
Can it getit done?
Did theyshow up?
Did theycome back?
Lead
Takes part
Minor role
Other audiences
ID
EO
Original framework © 2026

Related figures：Figure 2-2、Figure 8-1、Figure 0-2、Figure 1-1、Figure 5-1

Figure 2-1AI Customer Journey Map: Four Phases, Ten Steps

Ten steps and Ten Diagnostic Gates: one gate per step, each with a diagnostic question

Read the journey steps left to right; below each are the gate name and diagnostic question.

Diagnostics
See Figure 2-1
Journey Diagnostics Gate Map: Ten Steps, Ten Gates
Journey Steps
See Figure 2-1
S1
Prepare
S2
Crawl
S3
Train
S4
Index
S5
Ask AI
S6
AI Mention
S7
AI Answer
S8
Act
S9
Visit
S10
Return
Ten Gates
This step's gate
Ready
In reach
Learnable
Indexable
Readable
Pickable
Credible
Doable
Visitable
Recurring
Gate asks
Is the datacomplete?
Can theyget in?
Can itbe used?
Is itindexed?
Came toread?
Were youmentioned?
Did it getit right?
Can it getit done?
Did theyshow up?
Did theycome back?
ID
EO
Original framework © 2026

Related figures：Figure 2-1、Figure 2-3、Figure 0-2、Figure 5-2

Figure 2-2Journey Diagnostics Gate Map: Ten Steps, Ten Gates

How the Five Marketing Audiences move through S1 to S10

Each row is one of the Marketing Audiences, with S1–S10 running across; first see which steps it passes through, then the records at each step and the scope of measured tracking.

How the Five Marketing Audiences move through S1 to S10 (2026/3/3–10/8)
Solid boxes = measured records; dashed boxes and hatched fill = Black Box (inside AI Platforms); arrows = direction of flow. Numbers from different sources, periods, and units are shown separately.
Legend
Measured records: our site + Google/Bing
Bing-provided records
Black Box: inside AI Platforms
Hatched fill = inside AI Platforms
Source dots at the top-right corner of each box
S1 Prepare
(requests)
S2 Crawl
(requests)
S3 Train
(requests)
S4 Index
(requests/pages)
S5 Ask
(requests)
S6 Mention
(times)
S7 Answer
(times)
S8 Act
(requests)
S9 Visit
(clicks/visits)
S10 Return
(Tracking)
AI Crawlers
Meta,
Anthropic,
OpenAI,
Amazon…
AI Agent
Errands &
lookups
SearchCrawlers
Google,
Microsoft,
Apple
Humans
OrganicTraffic
From searchor AI
Bots
AutomatedInfo Services
Ourwebsite
Whole site
197M
Requests
From 2/12
To 10/8
Crawler arrivals
56.84 million
Requests
AI Crawlers
Copies backfor training
52.2 million
Requests
Anthropic
24.48 million
Builds AI index
3.99 million
Requests
Our AI Search
2.82 million
Taken for training and indexing
Live Retrieval
651,000
Requests
Largest: OpenAI
Black Box
How AImentions you
(in AI firms)
AIAnswer
31,711
times
Source: Copilot
citations
Visit
Arrival sourcesbeing tracked
Direct visits; browsing counted separately
Act for Users
18.09 million
Requests
Black Box
In-platform:Tracking
Visit
Trackingin Progress
Search index
Applebot
24.62 million
Google 3.41 million
Microsoft
12.05 million req.
Indexed pages
657,000
pages
Google 282,000
Bing 375,000
Trackingin Progress
Are we in?
What rank?
Searchimpressions
~8.22M
times
Google+Bing
approximate
Organic Traffic
Arrival sourcerecords
Google
267,700
Microsoft
20,100
clicks
Visit
from search or AI
to our site
309,826
Organic Traffic
Arrivals
7.23M req.
AI tools7.08 million
Tracking150,000
Black Box
Trackingin Progress
S10 Return
Trackingin Progress
1. Period 2026/3/3–10/8; whole site 196,702,526 requests, period2026/2/12–10/8; AI Agents (automated browsing) listed separately, 2026/8/26–10/8.
2. AI Crawlers: copied back for training 52,203,119 times, built the AI index 3,991,283 times, retrieved in real time 650,528times; Search Engine Crawlers that build the search index and produce AI Overviews are the same batch, 41,261,941 times.
3. Indexed pages are September 2026 Bing 375,000 + Google 282,000; searchimpressions about 8.22 million; cited in Copilot answers 31,711 times.
4. Organic Traffic from Humans 309,826 visits; Automated Bots 7,231,923 requests = AI tools7,079,310 + Tracking in Progress 152,613; AI Agents act for people and look up addresses.
ID
EO

Related figures：Figure 2-2、Figure 2-4

Figure 2-3Five Marketing Audiences Journey Swimlane Diagram

Using S1–S10 as a common scale, compare how far each company goes and its farthest step

Read the ten steps left to right and follow each company's arc to its end point; the column where it ends is the farthest step this figure shows for each AI platform.

How far each one goes: the AI Customer Journey of the major AI Platforms (S1→S10)
Crawl period 2026/3/3–10/8; whole-site period 2026/2/12–10/8. Arc thickness represents that platform's cumulative crawl requests.
S1 Prepare
197 million
Requests
S2 Crawl
105 million
Requests
S3 Train
52.2 million
Requests
S4 Index
45.25 million
Requests
S5 Ask
651,000
Requests
S6 Mention
about 8.22 million
times
S7 Answer
31,711
times
S8 Act
17.95 million
Requests
S9 Visit
309,826
clicks
S10 Return
Tracking
S9 Organic Traffic sources (clicks)
Google 268,000
Microsoft 20,000
Yahoo Japan 10,000
Meta 9,388
DuckDuckGo 1,049
Baidu 713
All other sources total 611; source clicks and crawler requests are counted separately.
Major AI Platforms (crawl requests)
Apple
Farthest S4
24.62M
Anthropic
Farthest S5
24.49M
Microsoft
Farthest S9
12.05M
OpenAI
Farthest S5
12M
Meta
Farthest S9
11.58M
Amazon
Farthest S3
5.45M
Google
Farthest S9
3.56M
Our AI Search
Farthest S4
2.82M
Yandex
Farthest S4
511,000
ByteDance
Farthest S4
256,000
AI Agents browsing
Farthest S8
17.95M
Farthest:
|
To S9
:
Google
,
Microsoft
,
Meta
|
To S8
:
AI Agents browsing
|
To S5
:
Anthropic
,
OpenAI
|
To S4
:
Apple
,
Our AI Search
,
Yandex
,
ByteDance
|
To S3
:
Amazon
Dot size follows the square root of each step's volume; solid dots are requests, hollow dots are platform impressions, citations, and Organic Traffic; each metric is shown in its own unit.
The AI Platforms' arcs show the main crawl purpose; S9 is listed separately by Organic Traffic source, and the same platform's cumulative crawl volume is counted once in each.
S6 search impressions are approximate; S7 citations cover Copilot 7/22–10/8; S8 automated browsing covers 8/26–10/8; S10 is still being tracked. S9 Organic Traffic and crawler requests are counted separately.
ID
EO

Related figures：Figure 2-3、Figure 8-2

Journey Coverage Map of AI Platforms: The Furthest Step Each Has Reached
Item	Farthest:	Value
Apple	Farthest S4	24.62M
Anthropic	Farthest S5	24.49M
Microsoft	Farthest S9	12.05M
OpenAI	Farthest S5	12M
Meta	Farthest S9	11.58M
Amazon	Farthest S3	5.45M
Google	Farthest S9	3.56M
Our AI Search	Farthest S4	2.82M
Yandex	Farthest S4	511,000
ByteDance	Farthest S4	256,000
AI Agents browsing	Farthest S8	17.95M

CSV

Figure 2-4Journey Coverage Map of AI Platforms: The Furthest Step Each Has Reached

The 4 ways AI mentions you, plus the final gate, mapped to S1–S10

The top shows the two situations and the four ways, each with its crawler type and step; the colors of the progress bar below match the top: S3 for ①, S4–S5 for ②③④, S6–S7 for ⑤.

4 Ways AI Mentions You + the Final Gate
When AI mentions you, it usually either remembers you already, or looks you up online right then.
AI already remembers you
① AI learned you
Read your public pages during training
Crawler｜AI Crawlers (training)
Step｜S3 Train
AI looks you up online
② Finds your website
Reads what you wrote about yourself
Crawler｜Search Engine Crawlers, AI Crawlers
Step｜S4 Index, S5 Ask
③ Finds you on platforms
Reads what others wrote about you
Crawler｜Search Engine Crawlers, AI Crawlers
Step｜S4 Index, S5 Ask
④ Finds a third-party verification page
Reads facts someone has verified
Crawler｜Search Engine Crawlers, AI Crawlers
Step｜S4 Index, S5 Ask
⑤ Final gate: AI picks you and gets you right
Findable → Picked → Right
Step｜S6 Mention, S7 Answer
S1 Prepare
S2 Crawl
S3 Train
S4 Index
S5 Ask
S6 Mention
S7 Answer
S8 Act
S9 Visit
S10 Return
aeo.idaeo.ai

Figure 2-54 Ways AI Mentions You + the Final Gate

Trust and Verification

Why trust it

The IDAEO Verification Model combines Official Source, First-Party Source, and Third-Party Source evidence to support credible facts

Start with the IDAEO Verification Model at the top, then the evidence roles of the Official Source, First-Party Source, and Third-Party Source, and finally the verification result for each fact.

③ Trust andVerification
Why trust it
From Figure 0-2
Verification Principles: do what we say, back it with evidence; no evidence, no claim
IDAEO
Core
IDAEO Verification Model
Japan, Taiwan, and Hong Kong big data
Triangulation
Three sources
Official Source
First-Party Source
Third-Party Source
Who says it
The government says
The merchant says
Outsiders say
Data source
Public government registries
Merchant website and owner
External public data
Evidencegathering
Official registry check
Source text preserved verbatim
Multi-source cross-checking
Labeling
Credibility status light
Preservation status
Source tag
Re-verification
Periodic audits
Re-verify on expiry
Ongoing evidence collection
VerificationEngine
Three sources in one
IDAEO Verification Engine
Cross-corroboration | Citation admission | Verdicts on record
Result
One result per fact, not one result for the whole store
Original framework © 2026
ID
EO

Related figures：Figure 5-1、Figure 0-2

Figure 4-1IDAEO Verification Model: Three-Party Verification and Credible Facts

Service Tiers

To which tier

Service tiers, strategy, and verification mapped to the ten steps

Start with the step ranges of AEO Exposure, AEO+ Word of Mouth, and IDA Brand PR; IDA Brand PR fully covers S1–S10. Then read down to the results and verification names for each segment.

④ Service Tiers
To which tier
Journey Steps
See Figure 2-1
Service Tiers
Numbers to watch
AEO Exposure
AEO+ Word of Mouth
IDA Brand PR
Verification
Links to Figure 4-1
Service tiers: deepening tier by tier along the journey steps
S1
Prepare
S2
Crawl
S3
Train
S4
Index
S5
Ask AI
S6
AI Mention
S7
AI Answer
S8
Act
S9
Visit
S10
Return
AEO Exposure | Read first
AI Readiness Score | AI Crawl Volume
AEO+ Word of Mouth
AI Real-Time Retrievals |
AI Mention Rate
IDA Brand PR | Right, visit, return
AI Answer Accuracy Rate | AI Citations | AI Agent Visits |
Search & AI Referral Visits | AI Return Visits
Covers every step
Full-Journey Coverage · S1–S10
First-Party Source + Official Source
IDA Verification
IDAEO Verification
Original framework © 2026
ID
EO
From Figure 0-3
Diagnostics
13
items
Diagnostics
4
items
Diagnostics
1
item
Diagnostics
1
item
Solutions
7
items
Solutions
2
items
Solutions
4
items
Diagnostics
6
items
Diagnostics
6
items
Diagnostics
1
item
Diagnostics
2
items
Diagnostics
1
item
Diagnostics
3
items
Diagnostics
4
items
Solutions
3
items
Solutions
2
items
Solutions
1
item

Related figures：Figure 4-1、Figure 5-2、Figure 8-1、Figure 0-2、Figure 1-1、Figure 2-1

Figure 5-1Service Tier Ladder: AEO Exposure, AEO+ Word of Mouth, IDA Brand PR

Nine Performance Metrics mapped to journey steps, diagnostic questions, IDAEO Solutions, and data

One metric per column; read down for the step, question, IDAEO Solutions, and data. Read each result according to its publication status.

Strategy
Links to Figure 5-1
Metric
Which step
Links to journey step
Journey Diagnostics
What to ask
IDAEO
Solutions
Verification data
As of 2026/10/8
AEO Exposure
AEO+ Word of Mouth
IDA Brand PR
AI ReadinessScore
AI CrawlVolume
AI Real-Time
Retrievals
AI MentionRate
AI AnswerAccuracy
AI Citations
AI Agent
Visits
Search & AIReferrals
AI ReturnVisits
S1
S2–S4
S5
S6
S7
S7
S8
S9
S10
Is the datacomplete?
Accessible?
Indexed?
Came toread?
Were youmentioned?
Did it getit right?
Is it cited?
Can it getit done?
Did theyshow up?
Did theycome back?
Readinesscheck
Engine
Repair plan
AI Access Rules
Visit Trail
Indexing Radar
Live Retrieval
Detection
Mention Probe
Answer Seat
Tracking
Fact Baseline
DiscrepancyAlert
CitationTracing
Agent Interface
Fulfillment
Integration
SourceAttribution
Return-visit ID
One scoreper merchant
0–100 points
97.46 million
Training +
Index
0.65M visits
AI pre-answer
site visits
Crawls
Scheduledlive tests
Same questions
Ask multiple AIs
Mention rank
Tracking
Line-by-linecheck
Cross-checked
Verified facts
Share correct
Tracking
31,711times
Copilot
Sourced answers
18.09M visits
Site visits
Completions
Trackingin Progress
309,826visits
from search or AI
Click-throughs
Returningcustomers
Same customer
asks again,
return visits
Tracking
Original framework © 2026
ID
EO
S1–S4 Read first
S5–S6 Named in the answer
S7–S10 Answered right, visit, return

Related figures：Figure 5-1、Figure 0-2、Figure 2-2

Figure 5-2Performance Metrics Mapping Matrix

Performance Measurement

How results are counted

Three categories of performance metrics, each matched to what it measures

Read down: Performance Metrics, the three categories, measurement targets, and figures; each cell is one kind of result.

⑤ PerformanceMeasurement
Counting results
Performance Metrics: AI content use at every step is a result
Three types
Result: AI Content Use
Background: Search
Visit
What is measured
AI CrawlVolume
Reads for AI
answers
AI Real-Time
Retrievals
AI Citations
AI Agent
Visits
Indexed pages
Search results
shown
Search & AIReferralVisits
First-Party Data
IDAEO measurements
97.46
million
S2–S4
from 3/3
46.05
million
Search + AI
from 3/3
0.65
million
S5 | from 3/3
31.7K
times
S7 | Copilot
from 7/22
18.09
million
S8 | from 8/26
Bing
pages
Google
pages
8.22
million
Google+Bing
310K
visits
S9 | from 8/26
Original framework © 2026
ID
EO
From Figure 0-2
AI Impressions come first; the rest of the journey follows.
AI Impressions
375K
282K
Sep
~

Related figures：Figure 6-2、Figure 0-2、Figure 6-6、Figure 3-1

Figure 6-1Full-Journey Performance Dashboard: Eight Measured Figures and First-Party Data

Overview of the ten steps, showing the measured results of each step

Read the ten steps from left to right; the thicker the bar, the larger the volume. The gray area is inside the AI Platforms, and measured results keep accumulating. S6 in the figure is search impressions (not AI mentions): the number of times search results list you. The mention rate in AI answers will be published later.

Ten-step overview: how much each step retains (2026/3/3–10/8)
Process inside AI Platforms; public results tracked continuously
S1
Prepare
196,702,526 requests
S2
Crawl
105,487,618 requests
S3
Copies back for training
52,203,119 requests
S4
Index
45,253,224 requests
657,000 pages indexed
S5
Someone asks AI
650,528 requests
S6
AI Mention
about 8.22 million times
S7
AI Answer
31,711 times
S8
Acts for customers
18,091,884 requests
S9
Visit
309,826 clicks
Organic Traffic
S10
Return
Tracking in Progress
Share of site-wide
53.6%
26.5%
23.0%
0.33%
9.20%
Bar width scales with the square root of request volume; gray bars show pages, counts, or clicks; dashed lines show the observed outline.
Site-wide requests from 2/12; crawler requests from 3/3. Each step is shown on its own basis.
ID
EO

Related figures：Figure 6-1、Figure 6-3

Ten-Step Results Overview
Item	Value	Unit
Prepare	196,702,526	requests
Crawl	105,487,618	requests
Copies back for training	52,203,119	requests
Index	45,253,224	requests
pages indexed	657,000	pages
Someone asks AI	650,528	requests
AI Mention	about 8.22 million	times
AI Answer	31,711	times
Acts for customers	18,091,884	requests
Visit	309,826	clicks

CSV

Figure 6-2Ten-Step Results Overview

Traffic distributed by Marketing Audiences and function

Follow the bands: Marketing Audiences on the left, functions on the right; the thicker the band, the larger the volume.

Traffic journey: who comes and what they do
2026/3/3–10/8 · 197 million site-wide requests · 105 million classified as AI
Who comes
13 source types · numbers are request counts and share of site-wide total
What they do
9 purpose types · by journey stage
S1 Prepare
S2 Crawl
Our website 197 million requests
Apple
24.62 million · 12.5%
Anthropic
24.49 million · 12.5%
AI Agents (automated browsing)
17.95 million · 9.1%
Microsoft
12.05 million · 6.1%
OpenAI
12.00 million · 6.1%
Meta
11.58 million · 5.9%
Amazon
5.45 million · 2.8%
Google
3.41 million · 1.7%
Our AI Search
2.82 million · 1.4%
Other platforms combined
1.83 million · 0.93%
AI Tools
7.08 million · 3.6%
Tracking in Progress
150,000 · 0.08%
Remaining traffic
73.27 million · 37.2%
S3 Train
52.20 million · 26.5%
S4 Index
Builds AI index
3.99 million · 2.0%
S4 Index
Search index + AI Overviews
41.26 million · 21.0%
S5 Ask (AI real-time retrieval)
650,000 · 0.33%
S8 Act
Errands, lookups; browsing
18.09 million · 9.2%
S9 Visit (Organic Traffic)
309,826 visits
Referrals separate (197M requests)
AI Tools
7.08 million · 3.6%
Tracking in Progress
150,000 · 0.08%
Remaining traffic
73.27 million · 37.2%
Flow width = square root of the exact request count; the thinnest flow is drawn at 1.5px (1.5px is the minimum line width). Large numbers in the figure are rounded. S8 includes acting for people, checking addresses, and automated browsing.
Data period: records 2026/3/3–10/8; automated browsing 2026/8/26–10/8; total site traffic 2026/2/12–10/8.
S6, S7, and S10 take place inside AI Platforms and with the customer; they are tracked by direct measurement, see Figure 3-2.
ID
EO

Related figures：Figure 6-2、Figure 6-4、Figure 3-2

AI Visit Structure Map: Who Comes and What They Come to Do
Item	Value
Apple	24.62 million · 12.5%
Anthropic	24.49 million · 12.5%
AI Agents (automated browsing)	17.95 million · 9.1%
Microsoft	12.05 million · 6.1%
OpenAI	12.00 million · 6.1%
Meta	11.58 million · 5.9%
Amazon	5.45 million · 2.8%
Google	3.41 million · 1.7%
Our AI Search	2.82 million · 1.4%
Other platforms combined	1.83 million · 0.93%
AI Tools	7.08 million · 3.6%
Tracking in Progress	150,000 · 0.08%
Remaining traffic	73.27 million · 37.2%
S3 Train	52.20 million · 26.5%
Builds AI index	3.99 million · 2.0%
Search index + AI Overviews	41.26 million · 21.0%
S5 Ask (AI real-time retrieval)	650,000 · 0.33%
S8 Act	18.09 million · 9.2%
S9 Visit (Organic Traffic)	309,826 visits

CSV

Figure 6-3AI Visit Structure Map: Who Comes and What They Come to Do

Site-wide traffic split by AI Platforms and purpose, ending in Organic Traffic

Read from left to right: total site traffic → each AI platform → purpose → Organic Traffic; the thicker the band, the larger the volume, and purposes are ordered by journey step.

Full flow: traffic → AI Platforms → purpose → Organic Traffic
2026/3/3–10/8 · 197 million requests · 105 million classified AI · one color each
Total site traffic
All requests
AI Platforms by company
13 source types · requests, % of total
Purpose
8 types · ordered by journey stage
Total site traffic
197 million
Requests
Anthropic 24.49 million · 12.5%
OpenAI 12.00 million · 6.1%
Amazon 5.45 million · 2.8%
Apple 24.62 million · 12.5%
Meta 11.58 million · 5.9%
Microsoft 12.05 million · 6.1%
Our AI Search 2.82 million · 1.4%
Google 3.41 million · 1.7%
Other platforms combined 1.83 million · 0.93%
AI Agents (browsing) 17.95 million · 9.1%
AI tools 7.08 million · 3.6%
Tracking in Progress 150,000 · 0.08%
Remaining traffic 73.27 million · 37.2%
S3 Train
52.20 million · 26.5%
S4 Index
Builds AI index
3.99 million · 2.0%
S4 Index
Search index + AIO
41.26 million · 21.0%
S5 Ask (AI real-time retrieval)
650,000 · 0.33%
S8 Act
Errands, lookups; browsing
18.09 million · 9.2%
AI Tools
7.08 million · 3.6%
Tracking in Progress
150,000 · 0.08%
Remaining traffic
73.27 million · 37.2%
S9 Visit
Organic Traffic 309,826 visits
Search/AI clicks, separate
Yahoo Japan
10,278 · 3.3%
DuckDuckGo
1,049 · 0.34%
Baidu
713 · 0.23%
Meta
9,388 · 3.0%
Microsoft
20,053 · 6.5%
Google
267,734 · 86.4%
Other sources
611 · 0.20%
Flow width = exact request count, linear; thinnest flow 1.5px (1.5px minimum width); first three columns are requests, Organic Traffic separate. Dashed lines mark same-name AI Platforms.
Data period: records 2026/3/3–10/8; automated browsing 2026/8/26–10/8; total site traffic 2026/2/12–10/8. Large numbers are rounded.
ID
EO

Related figures：Figure 6-3、Figure 6-5

Full-Journey Outcomes Flow Map: From AI Exposure to Customer Visits
Item	Value
Anthropic	24.49 million · 12.5%
OpenAI	12.00 million · 6.1%
Amazon	5.45 million · 2.8%
Apple	24.62 million · 12.5%
Meta	11.58 million · 5.9%
Microsoft	12.05 million · 6.1%
Our AI Search	2.82 million · 1.4%
Google	3.41 million · 1.7%
Other platforms combined	1.83 million · 0.93%
AI Agents (browsing)	17.95 million · 9.1%
AI tools	7.08 million · 3.6%
Tracking in Progress	150,000 · 0.08%
Remaining traffic	73.27 million · 37.2%
S3 Train	52.20 million · 26.5%
Builds AI index	3.99 million · 2.0%
Search index + AIO	41.26 million · 21.0%
S5 Ask (AI real-time retrieval)	650,000 · 0.33%
S8 Act	18.09 million · 9.2%
Organic Traffic	309,826 visits
Yahoo Japan	10,278 · 3.3%
DuckDuckGo	1,049 · 0.34%
Baidu	713 · 0.23%
Meta	9,388 · 3.0%
Microsoft	20,053 · 6.5%
Google	267,734 · 86.4%
Other sources	611 · 0.20%

CSV

Figure 6-4Full-Journey Outcomes Flow Map: From AI Exposure to Customer Visits

Same-scale comparison of each platform's crawl volume and referral results

One platform per panel; read each step's results from left to right. Compare across panels using the same column and the same unit.

Nine funnels: reads → actions → results → Organic Traffic
2026/3/3–10/8 · top nine AI Platforms by crawl volume · one scale
Brand color = requests Hatched = pages/counts Gray = Organic Traffic
Apple
Crawl volume #1
24.62 million requests
Total · req.
Action · req.
Results · #
S9 Visit
AI share
23.3%
S2
24.62M
S3
—
S4
24.62M
S5
—
S6
—
S7
—
S8
—
—
Tracking
Requests vs arrivals
S10 Return: Tracking
Anthropic
Crawl volume #2
24.49 million requests
Total · req.
Action · req.
Results · #
S9 Visit
AI share
23.2%
S2
24.49M
S3
24.48M
S4
11,000
S5
2,494
S6
—
S7
—
S8
—
—
Tracking
Requests vs arrivals
S10 Return: Tracking
Microsoft
Crawl volume #3
12.05 million requests
Total · req.
Action · req.
Results · #
S9 Visit
AI share
11.4%
S2
12.05M
S3
—
S4
12.05M
S5
—
S6
—
S7
31,711
S8
—
20,000
Share 6.5%
Requests vs arrivals
S10 Return: Tracking
OpenAI
Crawl volume #4
12 million requests
Total · req.
Action · req.
Results · #
S9 Visit
AI share
11.4%
S2
12M
S3
10.6M
S4
761,000
S5
635,000
S6
—
S7
—
S8
—
—
Tracking
Requests vs arrivals
S10 Return: Tracking
Meta
Crawl volume #5
11.58 million requests
Total · req.
Action · req.
Results · #
S9 Visit
AI share
11.0%
S2
11.58M
S3
11.58M
S4
—
S5
—
S6
—
S7
—
S8
—
9,388
Share 3.0%
Requests vs arrivals
S10 Return: Tracking
Amazon
Crawl volume #6
5.45 million requests
Total · req.
Action · req.
Results · #
S9 Visit
AI share
5.2%
S2
5.45M
S3
5.45M
S4
—
S5
—
S6
—
S7
—
S8
—
—
Tracking
Requests vs arrivals
S10 Return: Tracking
Google
Crawl volume #7
3.56 million requests
Total · req.
Action · req.
Results · #
S9 Visit
AI share
3.4%
S2
3.56M
S3
—
S4
3.41M
S5
474
S6
—
S7
—
S8
—
268,000
Share 86.4%
Requests vs arrivals
S10 Return: Tracking
Our AI Search
Crawl volume #8
2.82 million requests
Total · req.
Action · req.
Results · #
S9 Visit
AI share
2.7%
S2
2.82M
S3
—
S4
2.82M
S5
—
S6
—
S7
—
S8
—
—
Tracking
Requests vs arrivals
S10 Return: Tracking
Yandex
Crawl volume #9
511,000 requests
Total · req.
Action · req.
Results · #
S9 Visit
AI share
0.5%
S2
511,000
S3
—
S4
511,000
S5
—
S6
—
S7
—
S8
—
—
Tracking
Requests vs arrivals
S10 Return: Tracking
S2 Crawl → S3 Train → S4 Index → S5 Ask
S6 Mention → S7 Answer → S8 Act → S9 Visit → S10 Return
S4 indexed pages in September 2026: Google 282,000, Microsoft 375,000; S6 search impressions about 8.22 million, per-platform breakdown still being tracked.
S7 Copilot answer citations 31,711 (7/22–10/8); S9 Organic Traffic 309,826. Only approved per-platform breakdowns are shown.
Bar length = √count, same scale in all nine cells; share denominator = AI total 105,487,618. Requests, pages, counts, and arrivals each use their own units.
ID
EO

Related figures：Figure 6-4、Figure 6-6

Journey Results Comparison of Nine AI Platforms
Item	Total · req.	S3	S4	S5	S7	S9 Visit	AI share
Apple	24.62 million requests	—	24.62M	—	—	—	23.3%
Anthropic	24.49 million	24.48M	11,000	2,494	—	—	23.2%
Microsoft	12.05 million	—	12.05M	—	31,711	20,000	11.4%
OpenAI	12 million	10.6M	761,000	635,000	—	—	11.4%
Meta	11.58 million	11.58M	—	—	—	9,388	11.0%
Amazon	5.45 million	5.45M	—	—	—	—	5.2%
Google	3.56 million	—	3.41M	474	—	268,000	3.4%
Our AI Search	2.82 million	—	2.82M	—	—	—	2.7%
Yandex	511,000	—	511,000	—	—	—	0.5%

CSV

Figure 6-5Journey Results Comparison of Nine AI Platforms

Cold start and early dividends: the rhythm in which AI platforms arrive one after another

Each row is one of the AI Platforms, with time on the horizontal axis. The 30–35 days is the gap between the first crawler and the next from the same platform. This is an observation from a single site; for three platforms, the interval is a lower bound. Figure 7-1, “IDAEO Growth Milestones,” shows this site's cumulative volume. Records before Aug 24 may include duplicate requests. Arrival records are still needed to assess whether earlier readiness leads to earlier accumulation.

Cold Start Timeline: AI Platforms arrive in sequence; the earlier you are ready, the earlier you accumulate
2026/3/3–10/8 · 6 AI platforms with two or more crawlers, sorted by the first crawler's first day · dot = first-seen date (color = purpose, size = total requests)
Large number on the arc = days between the two first appearances; prior requests in the right column · right column = summary of the next crawler after measurement began
OpenAI
+30 days or more
Anthropic
+31 days or more
Perplexity
+35 days or more
DuckDuckGo
+30 days
Google
+31 days
Our AI Search
+70 days
Five of the six fall within 30–35 days; the one with a 3/3 first day is a lower bound.
AI traffic has an early-mover dividend: the earlier you are ready, the earlier you accumulate. AI platforms send their next crawler only about 30 days after the first.
Cold Start
AI traffic accumulates from 0; industry rule of thumb: about 90 days.
Even with S1 fully prepared, AI platforms still arrive in sequence.
Warm Start
Content meets S1 and goes live on an AI Traffic Hub; rule of thumb: about 30 days.
TK Lin's IDA: reached S7 (AI Answer) in 14 days.
AI Platforms
First crawler → next crawler after measurement began
3/3
Apr
May
Jun
Jul
Aug
Sep
10/8
Platform-verified AI ID from 8/24 ▸
OpenAI
3 crawlers · 12 million total
Training/real-time:
Present at start
30+ days
Training crawler ≤3/3
Real-time crawler 3/5
Search crawler 4/2
+30 days or more
First new arrival after measurement began: search crawler
First seen 4/2 · 30 days or more after the first
237,000+ prior requests
Real-time crawler: 40 times in the first week
Anthropic
5 crawlers · 24.49 million total
31+ days
+12 days
+47 days
+1 day
Training crawler ≤3/3
Real-time crawler 4/3
Search crawler 4/15
Unclassified crawler 6/1
Unclassified crawler 6/2
+31 days or more
Training crawler → real-time crawler
905+ prior requests (training crawler 905)
Real-time crawler: 57 times in the first week
Third: search crawler 4/15
+43 days or more · 4,687+ prior requests
Fourth: unclassified crawler 6/1
+90 days or more · 2.01M+ prior requests
Fifth: unclassified crawler 6/2
+91 days or more · 2.06M+ prior requests
Perplexity
2 crawlers · 229,000 total
35+ days
Search crawler ≤3/3
Real-time crawler 4/7
+35 days or more
Search crawler → real-time crawler
4,864+ prior requests (search crawler 4,864)
Real-time crawler: 2 times in the first week
DuckDuckGo
2 crawlers · 14,000 total
+30 days
Search crawler 3/5
Q&A crawler 4/4
+30 days
Search crawler → Q&A crawler
28 prior requests (search crawler 28)
Q&A crawler: 4 times in the first week
Google
5 crawlers · 3.56 million total
+31 days
+37 days
+25 days
+74 days
Search crawler 3/11
Note-organizing crawler 4/11
Deep research crawler 5/18
General bot 6/12
Image crawler 8/25
+31 days
Search crawler → note-organizing crawler
127,000 prior requests (search crawler 127,000)
Note-organizing crawler: 2 times in the first week
Third: deep research crawler 5/18
+68 days after the first · 365,000 prior requests
Fourth: general-purpose crawler 6/12
+93 days after the first · 995,000 prior requests
Fifth: image crawler 8/25
+167 days after the first · 2.39M prior requests
Our AI Search
2 crawlers · 2.82 million total
+70 days
Index crawler 6/26
Cross-site index crawler 9/4
+70 days
Index crawler → Cross-site index crawler
2.81 million prior requests (index crawler 2.81 million)
Cross-site index crawler first week 2,213 requests
AI Platforms with only one crawler (26, by first day)
Microsoft search ≤3/3
Yandex search ≤3/3
ByteDance search ≤3/3
Amazon training 3/5
Apple search crawler 3/11
You.com search 4/1
Baidu search 4/4
Common Crawl training 4/9
Brave search 4/10
Cohere unclassified 5/5
Huawei search crawler 5/6
Kagi search 5/16
Meta training 6/14
Sogou search 6/26
TollBit task 6/26
Task-tool platform 6/26
Linkup search 7/31
DeepSeek unclassified 8/7
Yahoo Japan search 8/7
Parallel index 8/24
Japan informatics institute 8/25
Auto-detected AI task 8/26
Golemreach page-check 8/26
Mistral real-time 8/29
Japan research institute 8/29
Andi page-check 9/17
Use
Training
Index
Someone asks AI
Crawl
Tracking in Progress
Hollow = present at start; 3/3 is a lower bound
Dashed = first seen after verification
Data: daily requests 2026/3/3–10/8; each dot is placed by the crawler’s first day, sized by the log of total requests.
First day 3/3 is the measurement start; days since then and prior requests are lower bounds.
From 8/24, platform-verified AI identities are used; dashed circles mark the first appearance after verification was enabled.
Family totals combine different crawlers from the same AI platform; AI tools and Tracking in Progress are listed separately.
ID
EO

Related figures：Figure 6-5、Figure 7-1、Figure 8-2、Figure 6-1

Figure 6-6Cold Start Timeline: AI Platforms Arriving in Sequence and the Early-Mover Dividend

The foundation is measurement sources and field results

Measurement Sources and the AI Black Box

The Data Foundation of Performance Measurement

Division of measurement among websites, crawlers, the back end and front end of AI platforms, and humans

Read from top to bottom, from website to person, and compare each layer's results with the scope of ongoing tracking.

Service blueprint: our website → crawlers → AI Platforms → people (2026/3/3–10/8)
Horizontal: the steps of this book; vertical: the service blueprint; gray band = Black Box of the AI Platforms. Numbers come from our site records and search platform data respectively.
Solid + number = measured
Dashed, gray = platform internal
Gray band = Black Box
Blue background = our records
Interaction
Visibility
Internal interaction
▲ Measured
▼ Platform internal
Humans
Ask→see the answer→Organic Traffic
Measured data
AI front stage
AI answers, search results
Measured data
AI back stage
Training, indexing, ranking
In-platform
Crawlers visitingour website
Requests by function:our site records
Measured
Our website
Whole-site requests
Measured
Crawlers visit on their own and fetch content
Ask AI
Live retrieval
Tasks AIAgents
Auto-browsing
Searches,sees results
Google/Bing
Sees theAI answer
Cited us
Organic Traffic
309,826
times
Visit
Gets a query
Chooses to fetch
Gets the task
Sends AIAgents out
Search impressions
~8.22M
times · approx.
Google+Bing
AI Answer
31,711
times·Copilot
Other platforms
Tracking
Index
Are we in?
In-platform
Indexed pages
657K pages
Google 282,000
Bing 375,000
Ranking
What rank?
In-platform
Trains models
Model usebeing tracked
Builds answer,picks citations
Which part ofours was used?
In-platform
Crawl
123.4 million
Requests
incl. browsing
AI total
Copies to train
52.2 million
Requests
Anthropic
24.48 million
Builds AI index
3.99M requests
Builds search index
41.26M requests
Apple 24.62 million
Live Retrieval
651,000
Requests
OpenAI
635,000
Act for Users
18.09 million
Requests
AI Agent
incl. browsing
Organic Traffic
309,826
site visits
S1 Prepare
196.7 million
Site total 196,702,526 requests (2026/2/12–10/8); Four AI Audiences 105,487,618 + automated browsing 17,948,162, listed separately.
Remaining traffic 73,266,746 requests; latest classification: Apple → search indexing, Meta → training.
1. Period 2026/3/3–10/8; AI Agents (automated browsing) 2026/8/26–10/8. Each box shows requests, pages, impressions, or Organic Traffic; the units differ.
2. The gray band is the Black Box: training, indexing, and citation passage selection happen inside the platforms; indexed pages are the September 2026 figures, Bing 375,000 + Google 282,000.
3. Search impressions about 8.22 million (Google + Bing); AI answer citations 31,711 (Copilot, 2026/7/22–10/8).
4. Organic Traffic 309,826 visits; Google 267,734, Microsoft 20,053, Yahoo Japan 10,278, Meta 9,388.
5. Search indexing and AI Overviews come from the same Search Engine Crawlers (41,261,941 requests); reads for AI answers 46,052,576 requests.
S1
(requests)
S2
(requests)
S3
(requests)
S4
(requests/pages)
S5
(requests)
S6
(times)
S7
(times)
S8
(requests)
S9
(clicks)
S10
(Tracking)
S10 Return
Tracking
Indexed
Model use (Tracking)
Fetched in real time
ID
EO
Prepare
Crawl
Copies to train
Index
Ask AI
AI Mention
AI Answer
Acts for customers
Visit
Return

Related figures：Figure 3-2、Figure 6-1

Figure 3-1IDAEO Measurement Service Blueprint

Measurement results for each journey phase and the AI black box

Read the journey phases horizontally, comparing the number cells with the live-test topics inside the black box.

Content Journey Map for the AI Era: S1 to S10 (2026/3/3–10/8)
Four phases, ten steps; gray dashed boxes mark the inside of AI Platforms. Site-wide 196,702,526 requests.
Readiness
Phase One · S1
Phase Two: AI Information Acquisition
S2–S4
Phase Three: AI-Assisted Decision and Action
S5–S8
Phase Four: Convert & Return
S9–S10
S1 Prepare
(requests)
S2 Crawl
(requests)
S3 Train
(requests)
S4 Index
(requests)
S5 Ask
(requests)
S6 Mention
(impressions)
S7 Answer
(citations)
S8 Act
(requests)
S9 Visit
(Organic Traffic)
S10 Return
(Tracking)
Who acts
Target
Measured
count
Black Box
Platforminternal
Site share
requests
Volume curve
square-root scale
Merchant
Website
Search Engine
AI Crawlers
AI Crawlers
Search Engine
AI Platforms
AI Crawlers
Search engines
AI Platforms
AI Agent
Humans
Humans
AI Platforms
196,702,526
Requests
2/12–10/8
105,487,618
Requests
AI and search engines
52,203,119
Requests
Training collection
45,253,224
Requests
Both indexes
650,528
Requests
Live Retrieval
~8.22M
times
Search impressions
31,711
times
Copilot citations
7/22–10/8
17,948,162
Requests
8/26–10/8
309,826
times
Organic Traffic
Tracking
Tracking
Found by AIs
Identity: Tracking
How content is filed and ranked after reading
Platform internals: Tracking
How choices are made after AI mentions and answers
External records: ongoing tracking
Whether customers ask again later
Tracking
Site baseline
53.63%
26.54%
23.01%
0.33%
Different units
Different units
9.12%
Separate log
Tracking
S3 and S4 are binned by each family's primary use and are mutually exclusive in this table; S6, S7, and S9 use units other than requests.
196,702,526
Phase 1
105,487,618
Phase 2
17,948,162
Phase 3
309,826
Phase 4
Source: crawler requests follow the approved list; site-wide totals, use categories, Organic Traffic, citations, and search impressions follow approved values.
S4 total = AI indexing 3,991,283 + search indexing/AI Overviews 41,261,941; each type is counted once in this table.
The curve only indicates the order of magnitude of the four phases: S1 site-wide, S2 AI requests, S8 automated browsing, S9 Organic Traffic; each unit shows its own magnitude.
ID
EO

Related figures：Figure 3-6、Figure 3-1、Figure 3-3、Figure 6-3

Figure 3-2Content Journey Map and the AI Black Box

Summary table of records across S1–S10 for all AI platforms

One row per platform, S1 to S10 across; nodes mark published results, and the rest should be read as still being tracked. In the figure, S6 lists search impressions (not AI mentions), meaning the number of times you appear in search results. The mention rate in AI answers will be published later.

Journey Outcome Matrix Across AI Platforms
How far each one gets (S1→S10)
S1
Prepare
196,702,526 requests
S2
Crawl
105,487,618 requests
S3
Copies to train
52,203,119 requests
S4
Index
45,253,224 requests
S5
Someone asks AI
650,528 requests
S6
AI Mention
about 8.22 million times
S7
AI Answer
31,711 times
S8
Acts for customers
18,091,884 requests
S9
Visit
309,826 clicks
S10
Return
Tracking in Progress
Readiness
AI Information Acquisition
AI-Assisted Decision and Action
Conversion & Return
S1
S2
S3
S4
S5
S6
S7
S8
S9
S10
AI Platforms/Categories
Left column total 105,487,618 requests; automated browsing counted separately.
Apple
24,615,429
24,615,429
Anthropic
24,492,504
24,479,305
10,705
2,494
Microsoft
12,050,061
12,050,061
375,000 pages
910,622
31,711
20,053
OpenAI
11,998,898
10,602,782
760,806
635,310
Meta
11,583,411
11,583,411
9,388
Amazon
5,454,011
5,454,011
Google
3,413,957
3,413,483
282,000 pages
474
7,410,298
267,734
Our AI Search
2,815,693
2,815,693
Yandex
511,159
511,159
ByteDance
255,863
255,863
Sogou
253,223
253,223
Perplexity
228,656
218,062
10,594
TollBit
126,292
126,292
Parallel
125,562
125,562
Huawei
114,316
114,316
Linkup
60,455
60,455
Common Crawl
19,054
19,054
DuckDuckGo
14,008
12,384
1,624
1,049
DeepSeek
Merged into Tracking in Progress
mcpbeat
7,925
7,925
Other platforms
115,218
64,556
36,023
32
14,607
11,602
AI Agents (browsing)
17,948,162
17,948,162
AI Tools
7,079,310
Tracking in Progress
152,613
Node height uses a log scale; gray bars represent pages, counts, or clicks. Category rows are already included in the left-side total traffic.
Site-wide requests from 2/12; crawler requests from 3/3. The search impressions overview uses the approved rounded figure; per-platform breakdowns use actual data.
ID
EO

Related figures：Figure 3-2、Figure 3-4、Figure 3-7、Figure 3-5、Figure 3-8、Figure 3-9、Figure 3-10

Figure 3-3Journey Outcome Matrix Across AI Platforms

Google's crawls, search impressions, and customer arrivals can be compared in sequence along the journey

Read each step from left to right; check source, period, and unit first, then compare numbers on the same basis.

Google: search impressions reached 7,410,298
Finding: from indexing and impressions to customer visits, Google has the most complete numbers along the whole path.
The Google path: from S1 Prepare to S10 Return
2026/3/3–10/8 · site-wide counted from 2/12
S1
Prepare
S2
Crawl
S3
Train
S4
Index
S5
Ask AI
S6
AI Mention
S7
AI Answer
S8
Act
S9
Visit
S10
Return
S1 Prepare
Our website
196,702,526
Site requests · 2/12–10/8
S2 Crawl
All Google crawlers
3,556,335
3/3–10/8 · requests
S3 Train
The Google path
Tracking
S4 Index
Google search crawler
3,413,483
Requests
~282,000 pages indexed
S5 Ask
User-triggered
474
requests · both types
S6 Mention
Google impressions
7,410,298
impressions (search)
S9 Visit
GoogleOrganic Traffic
267,734
visits · separate log
Numbers at different steps come from different records; requests, pages, impressions, and Organic Traffic are each read in their own units.
Google requests
Search crawler
3,413,483
Tracking
142,378
Real-time retrievals
474
Total 3,556,335
From search platform
Indexed
about 282,000
pages
Search impressions
7,410,298
times
Search clicks
179,618
times
Search CTR 2.42%
Organic Traffic (separate)
Brought by Google
267,734 visits
All sources
309,826 visits
Organic Traffic and search clicks
each read in its own unit
Black Box: inside AI Platforms
AI Answer
S7 AI citations: Tracking in Progress; due later
Act
S8 Act: Tracking in Progress
S10 Return
Tracking
Three records, one segment each
Website requests
Daily crawler request log
Search platforms
Indexing, impressions, clicks
Organic Traffic
Visitor sources visible
Weekly search click-through rate (Google search platform · search clicks ÷ search impressions)
2026/3/3–10/8 · weeks start Monday · domain properties of the old and new sites
0%
2%
4%
6%
8%
3/2
3/30
4/27
5/25
6/22
7/20
8/17
9/14
10/5
7.03%
1.25%
2.63%
Same period
179,618 search clicks
7,410,298 search impressions
Overall click-through rate 2.42%
Sources: crawler requests from the approved list; site-wide and Organic Traffic from approved figures. Indexed pages are the September search platform snapshot.
Google search impressions, clicks, and weekly curve: two domain properties on the search platform, using web search records from 3/3–10/8.
Search result impressions and Organic Traffic each have their own basis; Google's AI answer citations, actions, and return visits are still being tracked.
ID
EO

Related figures：Figure 3-3、Figure 3-7、Figure 3-5

Google: 7,410,298 search impressions｜The platform with the most complete numbers along the whole path
Item	Value	Unit
Search crawler	3,413,483	Requests
Tracking	142,378	Requests
Real-time retrievals	474	Requests

CSV

Figure 3-4Google: 7,410,298 search impressions｜The platform with the most complete numbers along the whole path

Microsoft's data connects search indexing, answer citations, and customer arrivals

Compare with Figure 3-4 (Google), and note Microsoft's AI answer citation volume and its reporting period.

Microsoft: 12,050,061 search crawler reads
Finding: the platform that currently provides AI answer citation numbers; Copilot cited 31,711 times.
The Microsoft (Bing, Copilot) path: from S1 to S10
2026/3/3–10/8 · site-wide counted from 2/12
S1
Prepare
S2
Crawl
S3
Train
S4
Index
S5
Ask AI
S6
AI Mention
S7
AI Answer
S8
Act
S9
Visit
S10
Return
S1 Prepare
Our website
196,702,526
Site requests · 2/12–10/8
S2 Crawl
Bing search crawler
12,050,061
3/3–10/8 · requests
S3 Train
Training use
Tracking
S4 Index
Bing search crawler
12,050,061
Requests
~375,000 pages indexed
S5 Ask
Real-time retrieval
Tracking
S6 Mention
Bing impressions
910,622
impressions (search)
S9 Visit
MicrosoftOrganic Traffic
20,053
visits · separate log
Numbers at different steps come from different records; requests, pages, impressions, citations, and Organic Traffic are each read in their own units.
ID
EO
Microsoft requests
Search crawler
12,050,061
Builds search index
Also serves AI Overviews
Same batch of requests
Counted once
Total 12,050,061
From search platform
Indexed
About 375,000
pages
Search impressions
910,622
times
Search clicks
32,052
times
Click-through rate 3.52%
Organic Traffic (separate)
Microsoft brings
20,053 visits
All sources
309,826 visits
Organic Traffic and search clicks
each read in its own unit
Answers visible; actions and returns still tracked
S7 Copilot answer citations
31,711 times
S8 Act
Tracking
S10 Return
Tracking
Three records, one segment each
Website requests
Daily crawler request log
Search platforms
Indexing, impressions, clicks
Answer monitoring
Citation counts visible
Weekly search click-through rate (search clicks ÷ search impressions)
Bing search platform · data available 7/21–10/6 · weeks start Monday
Higher
Lower
7/20
8/3
8/17
8/31
9/14
9/28
10/5
Same period
32,052 search clicks
910,622 search impressions
Overall click-through rate 3.52%
Sources: crawler requests from the approved list; site-wide, indexing, Organic Traffic, and answer citations from approved figures.
Search impressions, clicks, and the weekly curve use the daily data available from the search platform, ending 10/6; the answer citation period is 7/22–10/8.
Bing indexing is the September snapshot; answer citations and search clicks are counted separately, and platform actions and return visits are still being tracked.

Related figures：Figure 3-3、Figure 3-4、Figure 3-6

Figure 3-5Microsoft: 12,050,061 search crawler reads｜The platform that currently provides AI answer citation numbers

Answers “How do you know AI cites you?” Citation happens inside the AI Black Box

On the left are first-party records: AI Real-Time Retrievals of 651,000. On the right are platform data and direct questions. Google's generative AI impression figures for this site are still pending. Copilot answer citations of the IDAEO platform total 31,711. TK Lin's personal IDA appeared in AI search source lists at a rate of 84% (four of the five models used the same search interface; the questions named the author himself; a single case). Below, reads, impressions, and citations form a checkable path. Requests, impressions, citations, and question ratios use different units and cannot be added together. This is a method diagram; cross-verification has not yet been completed.

ID
EO
How do you know AI cites you?
Cross-checking content use from both ends of the black box
Seeing content use
Seeing impressions, citations, answers
Site / edge first-party records
Platform data / asking AI directly
AI Black Box
Training · ranking
Mention · answer · action
S6 Mention
S7 Answer
1
VPS access logs
Site requests · paths
2
Cloudflare
AI crawler requests
AI referrals
Matched against VPS
Identifies the same read
First-party total
651,000
AI real-time retrievals
3
Google GSC
Generative AI impressions
and the URLs shown
Our site's figures pending
4
Bing Webmaster Tools
Copilot answer citations
31,711 times
2026/7/22–10/8
5
Asking multiple AIs
100 questions · five models
84%
IDA used as a source
Same URL · same period
Links evidence from both ends into one checkable path
Crawls
Exposure
Citation / answer
Requests, impressions, citations, question ratios: different units, not additive.
Bing cited URLs and tested answers check citation directly; front-end records fill in reads and impressions.
Case before vs. after
TK Lin's personal IDA, live test
9/20
0
10/3
84%
100 questions, five AI models; 84% of answers used this IDA as a source.
IDAEO measures both ends of the black box, then uses platform dataand periodic live tests to measure the results of content use.

Related figures：Figure 3-2、Figure 3-5

Figure 3-6How Do You Know AI Cites You? Measuring Both Ends of the Black Box

OpenAI crawls content for training and also retrieves it in real time to answer live questions

Compare with Figure 3-4 (Google): look first at retrievals and customer arrivals, then at the scope of ongoing tracking in the middle.

OpenAI: Of the three crawler types, the one for training purposes recorded the most reads: 10,602,782
Finding: Nearly nine in ten reads are for training purposes. It is also the platform with the most real-time retrievals.
The OpenAI path: crawlers come in, black box inside the platform, customers visit
2026/3/3–10/8 · three crawlers, 11,998,898 requests total; OpenAI Organic Traffic breakdown still being tracked
Requests from three identified crawlers
Green band widths are allocated by 11,998,898 requests; each purpose is counted once.
S3 Train
10,602,782 requests
S4 Index
760,806 requests
S5 Ask
635,310 requests
Black box inside the platform
AI mention, answer, and action flow
OpenAI-specific requests: Tracking in Progress
S1 Prepare
Our website
S2 Crawl
OpenAI's three crawlers
S3–S5 Entering the site
Site request log
S6–S8 Inside the platform
Black Box
S9 Visit
Organic Traffic
Whole site
196,702,526
Requests · 2/12–10/8
OpenAI
11,998,898
Requests
S3 Train
Training crawler
10,602,782
Requests
Takes content back for model training
S4 Index
Search crawler
760,806
S5 Ask
Real-time retrieval crawler
635,310
Training requests visible
In AI Platforms: live tests
Indexing requests visible
In AI Platforms: live tests
Real-time retrievals visible
In AI Platforms: live tests
After training
In AI Platforms: live tests
S6 Mention
In AI Platforms: live tests
S7 Answer
In AI Platforms: live tests
S9 Visit
Organic Traffic
Tracking
Site-wide total
309,826 visits
S8 Act
Tracking in Progress
S10 Return
Tracking in Progress
On this path, what we can count directly is crawler requests arriving at the site.
The training, indexing, and question request branches do not overlap; they sum to 11,998,898.
The platform's mentions, answers, and actions are each read in their own units.
The 309,826 in S9 is Organic Traffic from all sources; the OpenAI breakdown is still being tracked.
Sources: approved site-wide and Organic Traffic figures; the three crawlers' requests are summed from the 2026/3/3–10/8 approved list.
Green band widths are allocated by the request counts of the three crawlers; the dashed box marks the inside of the OpenAI platform, observed by live tests.
ID
EO

Related figures：Figure 3-3、Figure 3-4、Figure 3-8

Figure 3-7OpenAI: 10,602,782 reads for training purposes｜Nearly nine in ten requests are for training purposes; also the platform with the most real-time retrievals

Most of Anthropic's crawls are for training, showing the scale of this type of crawling

Compare with Figure 3-7 (OpenAI); read the requests arriving at the site and the platform's internal live-test topics separately.

Anthropic: 24,479,305 requests for training purposes
Finding: Almost all reads are for training purposes. It has the highest number of requests for training purposes of any platform.
The Anthropic (Claude) path: from crawlers to platform to customers
2026/3/3–10/8 · five crawlers, 24,492,552 requests total
S1
Prepare
S2
Crawl
S3
Train
S4
Index
S5
Ask AI
S6
AI Mention
S7
AI Answer
S8
Act
S9
Visit
S10
Return
Site-arrival requests by four purposes
Training, indexing, and real-time retrieval, plus 48 requests with purpose still being tracked; each item is counted once.
S3 Train
24,479,305 requests
S4 Index
10,705 requests
S5 Ask
2,494 requests
Black Box: inside AI Platforms
S6–S8 Mentions, answers, and actions
Tracking in Progress
S1 Prepare
Our website
S2 Crawl
Anthropic's five crawlers
S3–S5 Site-arrival purposes
Site request log
S6–S8 Inside the platform
Black Box
S9 Visit
Organic Traffic
Whole site
196,702,526
Requests · 2/12–10/8
Anthropic
24,492,552
Requests
S3 Train
Training crawler
24,479,305
Requests
Takes content back for model training
S4 Index
Search crawler
10,705
S5 Ask
Real-time retrieval crawler
2,494
Site-arrival requests visible
In AI Platforms: live tests
Indexing requests visible
In AI Platforms: live tests
Real-time retrievals visible
In AI Platforms: live tests
After training
In AI Platforms: live tests
S6 Mention
In AI Platforms: live tests
S7 Answer
In AI Platforms: live tests
S9 Visit
Organic Traffic (own)
Tracking in Progress
Site-wide total
309,826 visits
S8 Act
Tracking in Progress
S10 Return
Tracking in Progress
On this path, what can be counted directly is crawler requests arriving at the site.
S3 24,479,305 + S4 10,705 + S5 2,494 + purpose being tracked 48 = 24,492,552.
Crawler requests and the platform's mentions, answers, and actions are each read in their own units.
In-platform processing in S6–S8 and the S9 Organic Traffic breakdown are still being tracked.
Sources: site-wide and Organic Traffic from approved figures; each platform's crawler requests from the 2026/3/3–10/8 approved list.
Green bands show the purposes of site-arrival requests; dashed boxes mark in-platform or platform-specific numbers still being tracked.
ID
EO

Related figures：Figure 3-3、Figure 3-7

Figure 3-8Anthropic: 24,479,305 requests for training purposes｜Highest number of requests for training purposes of any platform

Apple's crawling is concentrated on retrieving content for indexing

Look at crawl volume first, then follow the journey to see the tracking scope of later use.

Apple: indexing requests reach 24,615,429
Finding: all reads go to building the search index (Siri, Spotlight, and other search features); the highest indexing volume of any platform.
The Apple path: from crawlers to platform to customers
2026/3/3–10/8 · one crawler, 24,615,429 requests total
S1
Prepare
S2
Crawl
S3
Train
S4
Index
S5
Ask AI
S6
AI Mention
S7
AI Answer
S8
Act
S9
Visit
S10
Return
Site-arrival requests for indexing
All requests with an assigned purpose are in S4 Index; this batch is counted once.
S3 Train
Tracking in Progress
S4 Index
24,615,429 requests
S5 Ask
Tracking in Progress
Black Box: inside AI Platforms
S6–S8 Mentions, answers, and actions
Tracking in Progress
S1 Prepare
Our website
S2 Crawl
Apple's single crawler
S3–S5 Site-arrival purposes
Site request log
S6–S8 Inside the platform
Black Box
S9 Visit
Organic Traffic
Whole site
196,702,526
Requests · 2/12–10/8
Apple
24,615,429
Requests
S3 Train
Platform-specific requests
Tracking in Progress
Takes content back for model training
S4 Index
Search crawler
24,615,429
S5 Ask
Platform-specific requests
Tracking in Progress
Tracking in Progress
In AI Platforms: live tests
Indexing requests visible
In AI Platforms: live tests
Tracking in Progress
In AI Platforms: live tests
After training
In AI Platforms: live tests
S6 Mention
In AI Platforms: live tests
S7 Answer
In AI Platforms: live tests
S9 Visit
Organic Traffic (own)
Tracking in Progress
Site-wide total
309,826 visits
S8 Act
Tracking in Progress
S10 Return
Tracking in Progress
On this path, what can be counted directly is crawler requests arriving at the site.
The 24,615,429 requests in S4 equal the Apple crawler total.
Crawler requests and the platform's mentions, answers, and actions are each read in their own units.
Apple's platform-specific numbers for S3 and S5–S10 are still being tracked.
Sources: site-wide and Organic Traffic from approved figures; each platform's crawler requests from the 2026/3/3–10/8 approved list.
Green bands show the purposes of site-arrival requests; dashed boxes mark in-platform or platform-specific numbers still being tracked.
ID
EO

Related figures：Figure 3-3

Figure 3-9Apple: 24,615,429 indexing requests｜Highest indexing volume of any platform

Meta's crawl records correspond to training use, while customer arrivals are read as organic traffic

Look at AI crawls and customer arrivals separately, reading each result in its own unit.

Meta: 11,583,411 requests for training purposes
Finding: All reads are for training purposes. Separately, Organic Traffic totaled 9,388 visits over the same period.
Meta's path: from crawler to platform, then to customers
2026/3/3–10/8 · one crawler, 11,583,411 requests in total
S1
Prepare
S2
Crawl
S3
Train
S4
Index
S5
Ask AI
S6
AI Mention
S7
AI Answer
S8
Act
S9
Visit
S10
Return
Site requests for training use
All requests with an assigned purpose fall under S3 Train; this batch is counted only once.
S3 Train
11,583,411 requests
S4 Index
Tracking in Progress
S5 Ask
Tracking in Progress
Black Box: inside AI Platforms
S6–S8 Mentions, answers, and actions
Tracking in Progress
S1 Prepare
Our website
S2 Crawl
One Meta crawler
S3–S5 Site-arrival purposes
Site request log
S6–S8 Inside the platform
Black Box
S9 Visit
Organic Traffic
Whole site
196,702,526
Requests · 2/12–10/8
Meta
11,583,411
Requests
S3 Train
Training crawler
11,583,411
Requests
Takes content back for model training
S4 Index
Platform-specific requests
Tracking in Progress
S5 Ask
Platform-specific requests
Tracking in Progress
Site-arrival requests visible
In AI Platforms: live tests
Tracking in Progress
In AI Platforms: live tests
Tracking in Progress
In AI Platforms: live tests
After training
In AI Platforms: live tests
S6 Mention
In AI Platforms: live tests
S7 Answer
In AI Platforms: live tests
S9 Visit
Organic Traffic
9,388 visits
Site-wide total
309,826 visits
S8 Act
Tracking in Progress
S10 Return
Tracking in Progress
On this path, what can be counted directly is crawler requests arriving at the site.
The 11,583,411 requests at S3 equal the Meta crawler total.
Crawler requests and the platform's mentions, answers, and actions are each read in their own units.
S9 Organic Traffic is a separate 9,388 visits; read requests and visits by humans each in their own unit.
Sources: site-wide and Organic Traffic from approved figures; each platform's crawler requests from the 2026/3/3–10/8 approved list.
Green bands show the purposes of site-arrival requests; dashed boxes mark in-platform or platform-specific numbers still being tracked.
ID
EO

Related figures：Figure 3-3

Figure 3-10Meta: 11,583,411 requests for training purposes｜All reads are for training purposes

IDAEO measurements

Our Own Site and Early Field-Test Merchants

Eight milestones and the cumulative curve show the site’s track record from zero to one hundred million requests

Read the title, approach, and reads over the same period for each milestone in order from 1–8, then compare against the cumulative curve. May 20–Aug 23 is the stage in which IDAEO methodology validation took shape. From Aug 24 on, counting uses platform-verified AI identities, which identifies them more precisely. Figures before Aug 24 may include duplicate requests. The corresponding theory is noted under each card.

IDAEO Growth Milestones: From Zero to One Hundred Million Requests
2026/3/3–10/8 · Eight milestones: what was done, how reads grew
①
3/3
Measurement officially launched
Action: began measuring AI visits,
set a baseline.
Result: 53 requests on day one;
635,000 requests in March.
Theory:
Law of Full-Journey Outcomes
Daily records
②
3/9–3/17
Search impressions begin
Action: company page began getting
search impressions.
Result: 1.59 million reads in April.
Theory:
Law of Audience Adaptation
Daily records
③
4/15
First visit from an AI answer
Action: began tracking AI answers
that bring visitors to the site.
Result: first verifiable
visit record.
Theory:
Journey Design · S9 Visit
Visit records
④
5/20–5/23
Brand info fully upgraded
Action: upgraded brand info,
strengthening AI understanding.
Result: 3.11 million reads in May.
Theory:
Identity Continuity (S1 Readiness)
Daily records
⑤
6/1–6/12
Evidence-driven optimization
Action: compiled relevant
papers online, optimized using
methods proven effective in tests.
Result: 16.07 million reads in June.
Theory:
Basis: 17 existing theories
Daily records
⑥
6/25–7/4
New IDAEO site built
Action: built the site directly
with the full IDAEO methodology.
Result: 25.97 million reads in July.
Theory:
Five Dimensions & Nine Elements
Daily records
⑦
7/17–8/22
Reads hit a new peak
Action: deepened optimization,
raising AI Content Use
efficiency and stability.
Result: 35.99 million in August.
Theory:
AI Impressions (S2–S4)
Daily records
⑧
September to 10/8
Hundred-million-request mark
Action: kept tracking AI and
search engine cumulative reads.
Result: 15.79 million in September.
October to 10/8: 6.34 million reads.
Cumulative: 105.5 million.
Theory:
Compounding Lead & Living Theory
Daily records
April
May
June
July
August
Sep
3/3
10/8
①
②
③
④
⑤
⑥
⑦
⑧
Cumulative crawl requests (daily running total)
Unit: requests · y-axis 0–110 million, linear
5/20–8/23: IDAEO methodology validation takes shape
From 8/24: platform-verified AI IDs, more precise →
25M
50M
75M
100M
①
②
③
④
⑤
⑥
⑦
⑧
10/8 cumulative 105.5 million
AI Agents automated browsing 17.95 million (8/26–10/8) listed separately
3/3
April
May
June
July
August
Sep
10/8
Cumulative (month-end)
635,000
2.22 million
5.33 million
21.4 million
47.37 million
83.36 million
99.15 million
105.5 million
Basis: cumulative total includes AI tools 7.079 million; AI Agents automated browsing 17.95 million (8/26–10/8) listed separately.
Monthly volumes in the figure are compiled from daily records; from 8/24 on, counting uses platform-verified AI identities.
S1 Prepare → S2 Crawl; subsequent answers, actions, and return visits are each shown on their own basis.
ID
EO

Related figures：Figure 7-2、Figure 6-6、Figure 0-2、Figure 7-3

IDAEO Growth Milestones: From Zero to One Hundred Million Requests
Item	Cumulative (month-end)
3/3	635,000
April	2.22 million
May	5.33 million
June	21.4 million
July	47.37 million
August	83.36 million
Sep	99.15 million
10/8	105.5 million

CSV

Figure 7-1IDAEO Growth Milestones: From Zero to One Hundred Million Requests

Monthly ranking changes in crawl volume by platform

Each row is one rank; follow the same-colored line to see each platform’s monthly rank, then read it together with the crawl volume for the same period.

Monthly ranking changes by platform
2026/3/3–10/8 · Top ten by monthly crawl requests (first place at top) · October through 10/8
Colors:
Apple
Anthropic
OpenAI
Microsoft
Meta
Amazon
Google
Our AI Search
Perplexity
DuckDuckGo
Neutral (names at band ends):
Yandex
ByteDance
Sogou
Huawei
Parallel
TollBit
Common Crawl
March
April
May
June
July
August
Sep
October (through 10/8)
Below top ten
Below top ten
1
237,000
2
141,000
3
102,000
4
5
6
7
8
9
10
1
444,000
2
363,000
3
349,000
4
5
6
7
8
9
10
1
1.65 million
2
766,000
3
302,000
4
5
6
7
8
9
10
1
5.73 million
2
3.94 million
3
2.45 million
4
5
6
7
8
9
10
1
10.71 million
2
4.36 million
3
3.83 million
4
5
6
7
8
9
10
1
12.66 million
2
10.22 million
3
6.01 million
4
5
6
7
8
9
10
1
2.69 million
2
1.78 million
3
1.68 million
4
5
6
7
8
9
10
1
1.63 million
2
803,000
3
326,000
4
5
6
7
8
9
10
OpenAI
Yandex
Amazon
Google
Microsoft
ByteDance
Perplexity
Apple
Anthropic
DuckDuckGo
Meta
Microsoft
Anthropic
Amazon
OpenAI
Apple
Google
Perplexity
Yandex
Sogou
Source: IDAEO first-party measurement records; each month, AI Platforms are ranked by request volume, and only the top ten are drawn.
October through 10/8; AI Platforms are ranked by counting each source separately; AI Agents automated browsing, AI tools, and Tracking in Progress are listed separately.
Band width scales with the square root of monthly requests; when one request serves two purposes, it is counted only once for the same platform in the AI Platforms ranking.
ID
EO

Related figures：Figure 7-1、Figure 7-3

Monthly Ranking Shifts of AI Platforms
Item	March	Value	October (through 10/8)	Value
1	OpenAI	237,000	Meta	1.63 million
2	Yandex	141,000	Microsoft	803,000
3	Amazon	102,000	Anthropic	326,000

CSV

Figure 7-2Monthly Ranking Shifts of AI Platforms

Early field-test merchants verify it too

Read from top to bottom. First, look at Google search clicks for IDAEO platform merchant pages, then the cumulative number of times AI brought customers into merchant pages, to see changes during the field-test period. Next, look at changes in the first batch of merchant websites after joining the IDAEO field test. Then look at search clicks, AI crawls, and bookings brought by AI for our own Washinmura website (hotel and tourism industry). Finally, look at AI impressions, the platforms that came to read, and their purposes for the IDA pages of the second batch of field-test industries. Read each figure according to the labeled subject, period, and purpose. The figures for the first batch of merchant websites are site-wide opens. There is no control group yet; these results do not establish causation.

Early Field-Test Merchant Results: Changes During the Field-Test Period
2026/3–10 · See each panel for its period · IDAEO first-party measurement records
A | Google search clicks on merchant pages (monthly)
Merchant pages on the IDAEO platform
March
297
April
2,810
May
8,127
June
9,673
July
10,734
August
12,119
Sep
15,128
Up seven months in a row; September is 5.4 times April
B | AI brings customers to merchant pages (cumulative)
Visits brought by AI answers · cumulative from 4/15
March
April
3
May
53
June
336
July
524
August
651
Sep
760
774 cumulative through 10/8
about 50.67 million
AI Impressions of merchant pages (read by AI, 5/19–10/9)
AI Impressions come first; the rest of the journey follows
C | Websites of the first batch of field-test merchants
Changes during participation in the IDAEO field test (no control group yet; this does not establish causation)
Official Website
Participating in the Field Test
First batch of field-test merchants
373,254
website opens
cumulative from 4/11
341
times
Visits brought by AI
Industry
May → September
Visits brought by AI
Parenting content site
52,817
55,286
294 visits
ChatGPT 236, Gemini 35,
Perplexity 15, Claude 6, Copilot 2
Food equipment maker
842
1,275
ChatGPT 15 visits
Event staging design
442
1,741
—
Leather goods brand
555
908
ChatGPT 2 visits
Hair salon
74
128
—
Studio
3
329
—
Among official websites with complete records for both May and September, most grew; some did not
D | Our own site: the Washinmura website (hotel and tourism industry)
www.washinmura.jp · The first field-test site of the IDAEO methodology
1 in every 8 reads is someone asking AI right now
AI real-time retrievals: 11,333, or 11.9% of the 95,333 reads by AI and search engines
S2–S4 AI Information Acquisition
95,333 reads
Reads by AI and search engines
8/20–10/8
S5 Ask
11,333 reads
AI real-time retrievals
ChatGPT 7,720, Claude 1,983,
Perplexity 1,630
S9 Visit
AI-referred bookings
Booking data to be published later
Google search clicks 109,140; search impressions 1,344,589
3/3–10/8
E | Second batch of field-test industries: joined July–August
373,776 AI impressions
IDA pages of the second batch of field-test industries · times read by AI, 7/18–10/8
Who reads
What they do
Meta
170,137
OpenAI
60,869
Anthropic
59,178
Amazon
37,218
Apple
36,744
Microsoft
9,407
Common Crawl
107
Google
102
Perplexity
11
ByteDance
3
Copies back for training
327,365 reads
Building AI and search indexes
46,399 reads
Real-Time Retrieval
12 reads
Real-time retrieval: AI reads these pages as someone asks.
Search clicks and customer visits for IDA pages: Tracking in Progress, to be published later.
Industry websites (April–September total)
Copilot citations
37,793 citations
Bing search clicks
10,177 clicks
AI citations, compared with search clicks:
3.7 times
IDAEO is field-tested at Washinmura, the first merchants, and a second wave of industries; wider public testing is next.
ID
EO
Merchant website figures are site-wide opens.

Related figures：Figure 7-2、Figure 7-1、Figure 1-1

Figure 7-3Early Field-Test Merchant Results: Changes During the Field-Test Period

Cite this book

IDAEO: Marketing in the Age of AI · 林毅祥（TK Lin） · 1st edition, 8th revision · 2026-10-20 · https://km.idaeo.ai/idaeo/atlas?lang=en · CC BY 4.0

IDAEO Atlas

The roof is the core and theory

The five pillars are the five dimensions

The foundation is measurement sources and field results

Cite this book