Methods and limits

A transparent methodology for AI readiness

The method starts by naming the evidence needed. We use deterministic checks for public facts and human-led research for time-bound live engine observations.

Automated Scans: deterministic public evidence

Scans assess public-web, entity, technical and structured-data signals using repeatable checks. They report what is observable at assessment time, including gaps or inconsistencies that warrant review.

Deep Investigations: human-led live evidence

When a question requires actual engine outputs, human analysts conduct a defined investigation, document selected prompts and observed responses, and separate observation from interpretation. This service is distinct from automated Scans.

Limits applied to every report

We never claim automated live mentions, recommendations, sentiment, citations or output measurement. We do not guarantee any result in ChatGPT, Gemini, Perplexity, Claude or other engines, whose behavior can change.

Use the method that matches your question

Start with deterministic public evidence or request scoped human research.

Start an automated scan

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