How to audit website content for AI search and Google search visibility

AI search visibility is not one technical switch. A page needs a clear topic, useful structure, accessible HTML, credible context, and enough detail to answer the underlying question. The same improvements can also help human readers and traditional search results.

A practical audit turns those ideas into checks: title and H1 clarity, heading structure, summaries, lists, tables, images and alt text, structured data, authorship, updated dates, external sources, and crawl access.

Tradly Analytics connects your authorized Search Console properties to a project-aware workspace so you can compare the numbers and still see where they came from.

Start with the promise in the title and H1, then inspect whether the page answers the main question early. Descriptive H2 sections, question-shaped headings where appropriate, a summary, and scannable lists make the document easier to interpret.

• Use one clear H1.
• Break complex topics into descriptive H2 sections.
• Place a concise answer or summary near the top.

Tradly Analytics treats AI Search Readiness as an explainable premium audit. Each crawl returns a score, individual checks, reasons, recommendations, and optional Search Console context. That lets a team decide what to fix without storing every crawl for every client by default.

• Enable the feature per workspace.
• Crawl only the pages the client chooses.
• Store audit history in ClickHouse for scalable reporting.

Use the guide’s filter as your starting question, then open the relevant project in Tradly Analytics. Keep the property, date range, and query or page visible while you decide what to change.

Keep the source visible

When a result looks promising, verify it against the original Search Console property. The best reporting workflow makes that verification easy instead of asking you to trust a number with no context.