Overview
Systematically strengthen every external signal AI models use to decide whether your brand is trustworthy.
Business problem
The brand looks credible on its own site but lacks the third-party corroboration models actually weight.
Decision supported
Which trust signals to build next for the biggest credibility gain.
Inputs & outputs
Inputs
- Current trust signals
- Competitor trust surface
- Review and mention data
Outputs
- Trust Surface Score
- Prioritised trust-building plan
Step-by-step process
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1
Inventory
Catalogue on-site and off-site trust signals: authorship, reviews, mentions, citations, credentials.
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2
Benchmark
Compare against the entities AI cites in your space.
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3
Prioritise
Target the corroboration gaps with the highest credibility payoff.
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4
Build
Earn reviews, expert authorship and third-party references.
Maturity model
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L1
On-site only
Trust claimed, not corroborated.
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L2
Some signals
Reviews and authorship present.
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L3
Corroborated
Third parties vouch consistently.
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L4
Referenced
The brand is a cited authority itself.
KPIs
- Trust Surface Score
- Third-party citations
- Review breadth
Common mistakes
- Self-asserted expertise with no proof
- Reviews on one platform only
- Ignoring unstructured brand mentions
SearchScore insight
Recommended next steps
Where this fits - and what's next
The SearchScore path from a problem you feel to visibility you can measure.