Technical SEO for AI search starts with whether eligible crawlers and user-initiated fetchers can reach useful page content. These guides cover robots.txt, indexability, rendered HTML, named crawler controls, and the limited role of optional files such as llms.txt.
Also see: Technical Access
See Answer Patch’s own public-page audit: observed crawler-copy errors, practical fixes, and preview verification, with search outcomes kept separate.
Download a free AI search audit worksheet with a completed example. Track prompts, cited sources, crawl evidence, fixes, owners, and retest results.
Audit your JSON-LD in 30 minutes: find missing page types, visible-copy conflicts, broken URLs, and overclaims about what schema can do for AI search.
Learn how to audit AI search visibility with a repeatable prompt log, source check, crawl test, and prioritized fixes for your website.
Learn what Google actually requires for AI Overviews: indexed, snippet-eligible pages, strong SEO, original expert content, and no special AI markup.
Set up llms.txt with a copyable Markdown example, publishing steps, and HTTP checks. Troubleshoot missing files, redirects, and stale links.
