Pillar 2 of 4
Corroboration
Does it trust what it knows?
What is the Corroboration pillar?
The second ECHO pillar. The independent confirmation of your entity's facts across sources the machine already trusts. Corroboration is what turns a claim you make about yourself into something a system is willing to repeat.
What happens when Corroboration is missing?
If it knows you exist but will not repeat what it knows, the problem is Corroboration.
Each of the four pillars maps to one failure mode, which is what turns ECHO into a fault-finding tool after the first read. If the symptom below is the one you recognise, this is the pillar to work on.
- EntityIf the machine does not know you exist, the problem is Entity.
- CorroborationIf it knows you exist but will not repeat what it knows, the problem is Corroboration.
- HooksIf it trusts you but never surfaces your content for the question being asked, the problem is Hooks.
- OutputIf you cannot tell which of these is happening, the problem is Output, and that is where to start.
Which chapters build Corroboration?
Part 3: Corroboration builds the Corroboration pillar across chapters 5 and 6.
First-party signals are claims. Third-party signals are evidence. AI systems weight evidence more heavily.
Read the chapter › Building Corroborations Across the WebReviews are the most accessible corroboration source. Specific, detailed reviews that name the service, location, and outcome carry far more corroboration weight than generic praise.
Read the chapter ›What does Corroboration work involve?
In the book's 30/60/90 day rollout, Corroboration work falls in days 31 to 60, the corroboration layer phase.
- Key actions
- Audit top citations and fix inconsistencies
- Secure missing directory listings
- Encourage specific reviews
- Launch the first digital PR initiative
- Deliverables
- Clean citation profile on the top five sources
- Active review strategy
- First earned editorial mention
- Done whenThe top five citations are consistent. At least one independent source corroborates core facts. The review profile is growing with specific, detailed reviews.
- Common mistakeChasing volume over consistency. Scripting reviews instead of encouraging specificity.
- ResourcingA mix of in-house and outsourced.
What vocabulary belongs to Corroboration?
6 of the book's 33 glossary terms belong to the Corroboration pillar. Each is defined in the book's own words.
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The principle, drawn from information retrieval research, that a fact confirmed by multiple independent authoritative sources is treated as ground truth.
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The second ECHO pillar. The independent confirmation of your entity's facts across sources the machine already trusts.
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A fact you publish about yourself, on a property you control.
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The listing that supplies a large share of a local business's entity data.
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What a system treats as settled fact rather than as a competing claim.
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A fact about you published by someone else: a review platform, a directory, a publication, a licensing body.
Before Corroboration: Entity
If the machine does not know you exist, the problem is Entity. Once Corroboration is in place, the next pillar is Hooks.