AI-search readiness is best treated as a collection of checks with visible evidence. A single score can conceal whether a problem concerns access, content or measurement. This is an independent review workflow, not a Gavek release announcement.
Check the page foundations
Begin with the information a visitor and search system can actually access: a working response, readable main content, sensible internal links and consistent page identity. Inspect the live page and relevant controls. Do not assume an AI-specific file fixes a missing explanation or blocked content.
Review answer usefulness
Choose the questions the page should help resolve. Look for clear definitions, justified claims, original evidence and descriptions that match the actual offer. When facts are uncertain, show the boundary instead of manufacturing certainty to create quotable sentences.
Observe outputs with context
Record prompt wording, engine, date and the cited pages when inspecting AI answers. Answers can vary, and a citation does not establish incremental revenue. Gavek currently offers educational AI workflows, not an automated AI-monitoring database or a guaranteed inclusion service.
Put the method to work
Illustrative review: a manufacturer’s guide explains a tolerance but omits the conditions under which it applies. The team adds a reviewed specification and an example, then records later AI observations separately. The content improvement is verifiable even if no engine cites it.
Your next steps
- Inspect accessible content and controls.
- Select concrete user questions.
- Verify evidence and product claims.
- Record AI observations with context.
Questions & answers
Is there one universal AI health score?
No score should be treated as universal evidence. Examine its checks, inputs and limitations.
Can an audit guarantee AI citations?
No. A review can improve clarity and identify barriers, but engines control their own outputs.
Documentation & further reading
Explore the related in-depth guide ↗ · Build an action plan ↗