AI representation intelligence

Know what AI says. Publish what you can stand behind.

Trakt preserves the observation and its sources before it helps a team publish a precise, authority-backed response.

Start with an observation

One feedback loop

A response to AI representation starts with evidence, not a claim form.

  1. 01

    Observe

    Run defined prompts across providers and personas.

  2. 02

    Publish

    Prepare a bounded commercial fact under scoped authority.

  3. 03

    Verify

    Inspect the proof case independently from a database row.

  4. 04

    Measure

    Compare later observations without promising an outcome.

“For a first run, the question is not whether a model is right. It is which answer, source, persona, and time context need investigation.”

Observation context
Prompt · provider · persona · time
Evidence context
Captured source references

Illustrative evidence record — actual findings retain their raw observation and source provenance.

A bounded response

Publish the fact you intend to support—under the authority you actually have.

Trakt keeps membership, delegated authority, evidence, lifecycle, and verification results distinct so a convenience label cannot overstate the proof.

Independent inspection

A receipt makes its checks legible.

Verification details, not a verdict.

Each check describes a different property of a claim. A valid signature does not establish objective truth.

  • Authorship
  • Authority and scope
  • Integrity
  • Validity and revocation
  • Supporting evidence
  • Anchoring
Illustrative receiptclaim v1 · details available

A receipt preserves which checks were performed and their individual outcomes. It does not replace the underlying evidence or make a truth claim.

Start with a source-linked observation. Decide what deserves a response next.

Create an organization