The Seven Laws of IDAEO: Overview Map

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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

How to read　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.

The seven laws are the core; the five dimensions are the framework. Read top to bottom: law name, one-line statement, why, and the matching dimension. The Law of Audience Adaptation says “expression varies with the audience,” because people and AI understand information differently. When addressing different audiences, check whether the content is understood correctly. If it is still misunderstood, review how it is expressed. The Law of Identity Continuity says “the entity's identity is always consistent,” because AI's recognition of an entity builds up over the long term. When checking across sources, see whether AI links the content to the same entity. If AI still misidentifies it despite that consistency, consistency alone does not show that the approach works. The Law of Independent Verification says “verification has a cost, and conclusions follow the facts,” because credibility comes from judgment that is not swayed by the client. For commissioned work, check whether conclusions follow the evidence. If they change to suit the client, this law is not met. The Law of Fact Primacy says “credible content starts from verified facts,” because AI is more likely to use it once verified. After verification, check whether AI uses it correctly. If AI still often gets it wrong, revisit this law. The Law of Claim Traceability says “every claim has a traceable basis,” because only when it can be traced does AI cite with confidence. When making a claim, check whether its source supports it. If AI still often gets it wrong despite a source being provided, revisit this law. The Law of External Corroboration says “a credible claim must have external corroboration,” because independent viewpoints complete a one-sided account. When comparing external information, check whether it supports the same claim. A repost or information that contradicts the claim does not count as corroboration. The Law of Full-Journey Outcomes says “AI Content Use at every stage counts as a result,” because customers may complete their decision right in the AI answer. Record results at each stage separately. If there are no results at later stages, progress at earlier stages cannot stand in for them. The bottom row maps in order to Audience Strategy (who to target), Service Tiers (how far to go), Trust and Verification (why believe it), and Performance Measurement (how to count results).