Evaluation type Live
Trust Visibility
Evaluates the observable signals a business publishes across clarity, entity consistency, authority, AI discoverability, trust, and local presence.
Powered by AIOTruth
Can AI systems access, understand, verify, and represent this business from the evidence it publishes?
Purpose
Evaluates the observable signals a business publishes across clarity, entity consistency, authority, AI discoverability, trust, and local presence.
How it runs
| Inputs | A public domain, and the pages, structured data, sitemap, robots, and machine declarations reachable from it. |
| Retrieval method | AIOInsights fetches the site the way an AI crawler would, starting from the home page and following the entity, sitemap, robots, and llms declarations. Only what is publicly served is read. |
| Observable signals | Clarity of what the business is and does, Entity consistency across the site and the web, Authority and corroboration, AI discoverability and crawler access, Trust signals, Local presence, where it applies. |
| Weighting | The dimension weighting is published in the live methodology on AIOInsights and is applied identically to every domain. It is not tuned per customer. See the live methodology on AIOInsights. |
| Not applicable logic | A signal that does not apply to a business, such as local presence for a business with no physical service area, is marked not applicable and excluded from the score rather than counted as a failure. |
| Failure states | An unreachable site, a blocked crawler, or a timeout produces a stated failure and no score. The engine does not guess a number for a site it could not read. |
| Evidence shown | Each finding points to the observed signal that produced it, so a business can see exactly why the result came out as it did. |
| Result | A deterministic Trust Visibility Score from 0 to 10, stamped with the engine version and the evaluation timestamp so it is reproducible. |
| Version | Engine v2.4.0. Change history. |
| Data retention | Evaluation inputs and results are handled under the AIOInsights privacy policy. AIOInsights privacy. |
| Security and abuse controls | Fetches run through a request guard that blocks private and internal addresses, the engine never executes a site's code, and requests are rate limited. |
Known limitations
- A result is a point in time snapshot; the observable web and the AI systems reading it both change.
- A strong score improves the odds of accurate representation. It is not a guarantee that any specific AI system will cite the business.
What this does not measure
It does not measure whether an AI system actually cited the business, and it does not read private, gated, or paywalled content.
Run it
The Trust Visibility evaluation runs on AIOInsights as the Trust Visibility Check. When it surfaces work that needs doing, Digilu implements it.