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AI Crawlability

Test whether AI crawlers can actually read your site.

Check four access gates: robots.txt, real crawler identity, JavaScript shell content and meta directives.

Gate 1 robots.txt
Gate 2 Crawler UA + WAF
Gate 3 Rendered content
Gate 4 Meta directives
Core capability

What AI Crawlability helps the team understand.

Check four access gates: robots.txt, real crawler identity, JavaScript shell content and meta directives.

01

Crawler identity probe

Request the site as GPTBot and other crawler identities, with a browser control group.

02

JavaScript shell detection

Find pages where the initial HTML contains too little usable content.

03

Meta blocker check

Review page-level directives that can block indexing or snippets.

Operating model

Keep every result connected to evidence and action.

The product explains the result, preserves its source context and makes the next review explicit.

01
Do more than parse robotsA permissive robots.txt does not prove that the WAF allows the crawler.
02
Compare control requestsDistinguish a blocked crawler from a website that is unavailable to everyone.
03
Inspect rendered meaningConfirm that important facts exist in the response a crawler receives.
Illustrative product evidence

Move from summary metrics into the underlying question.

Sample data demonstrates the evidence depth of a formal project.

InsightWonder / AI Crawlability Sample data

Visibility evidence

Last 30 days
AI visibility 34% +4%
Mentioned questions 10/29 +2
Share of voice 31% +4%
Cited pages 27 +9
Buyer question Brand status Evidence
Best modular sofa for a small apartment Gap Competitor cited
Most durable washable sofa under $2,000 Mentioned Product page
Low-VOC sofa for families Recommended Guide + review
FAQ

Questions about AI Crawlability

Does this feature run from the public website?

No. Marketing pages explain the capability. Formal data collection begins only after a user enters the App and confirms the project scope.

Can snapshot results become part of this workflow?

Yes. A valid snapshot can be claimed as an initial sample, while onboarding still confirms markets, competitors and the formal monitored question set.

Are all metrics comparable across AI engines?

Core answer states can be normalized, but citations, search assistance and answer formats still need engine-specific evidence.

How often is the data refreshed?

Measurement runs on the schedule your plan allows, and monitoring quota is shared at the account level. Alerts require two consecutive runs to confirm, so model sampling noise does not become a false alarm.

Can the original AI answer be inspected?

Yes. Every result drills down to the answer that produced it, question by question and model by model, together with the citations found in that answer.

What happens when a model is unavailable?

That run is marked partial rather than being silently filled in. The remaining engines still complete, and the gap stays visible in the result.

From signal to action

Put AI Crawlability into a complete GEO workflow.

Create a project, confirm your market and start measuring the questions that matter.