Full diagnostic: how AI represents you
Internal knowledge, retrieval behavior, web context. One professional PDF.
$149 · One-time · PDF report
Who typically uses this
Founders, executives, professionals before meetings, deals, or public exposure.
This is a diagnostic for perception risk.
Example: a founder named Alex Smith in fintech - the report would show how models resolve that name.
Terms we use
- Entity resolution
- Can the model reliably tell who you are?
- Name collision
- Multiple real-world entities share your name.
- Retrieval substitution
- Another entity appears in your place when models look up sources.
What it measures
- Internal model knowledge (five AI systems: OpenAI, Anthropic, Google, Perplexity, xAI)
- Retrieval context (what happens when models use external sources)
- Web context (dominant sources, substituting entities, narrative polarity)
- Entity resolution and semantic classification
What it helps you understand
This diagnostic helps distinguish between issues that are structural and those that may be addressed - so you can decide if action is possible.
We don't control AI outputs or guarantee visibility. Some Snapshots conclude that no action is viable.
Outcomes you might see
Clear and stable identity; name collision (dominant entity); ambiguous name; generic name with no dominant entity. The report explains what each means and what, if anything, you can do next.
If the entity is structurally generic (e.g. common name with no disambiguating signal), the Snapshot still delivers the diagnostic; a Blueprint may not be offered.
A Snapshot is a complete diagnostic on its own. No further step is required.
In many cases, clarity is already sufficient and no further action is recommended.
In some cases, a Blueprint may be offered after review. Ongoing monitoring is available for eligible entities.
AskedByAI provides the diagnostic and, where possible, a path forward. Decisions on whether and how to act remain with you.