The method

From public evidence to an operating signal.

AEOMETRY applies deterministic checks to public-web, entity, technical, and structured-data evidence, then turns verified gaps into actions.

Inspect public access

Start with the pages and facts systems can retrieve and interpret.

Keep claims bounded

Do not turn technical readiness into a claim about live engine output.

Prioritize the move

Turn the highest-confidence public-signal gap into work your team can ship.

Built for decisions, not vanity metrics.

Each automated finding points back to observable public evidence. Live answer-engine claims remain outside the Scan and require human-led research.

Ready to see your baseline?
Start a visibility scan

See how AEO.METRY turns public-web, entity, technical and structured-data evidence into a clear AI discoverability assessment and action plan. Automated Scans assess public website, entity, technical and structured-data signals; they do not query live AI engines or guarantee mentions, citations, recommendations or rankings. AEO.METRY records inspectable evidence and gaps, while a separate human-led Deep AI Engine Investigation is required for dated, prompt-specific live engine observations. The public FAQ and methodology explain evidence boundaries and responsible interpretation. Questions about the service, privacy, account access or investigation scope can be sent to hello@aeometry.io.