CookMyRank Resources

Learn AI search visibility

These resources explain how AI search and answer engines read a website and what you can do to be understood and recommended. Start with the fundamentals of generative engine optimization, then dig into the specific signals — structured data, llms.txt, content readability, and trust signals — that the audit measures.

• Generative engine optimization fundamentals
• Structured data and schema markup for AI engines
• Writing an effective llms.txt file
• AI mention and citation tracking

Keep going

The CookMyRank blog covers AI visibility, GEO tactics, schema markup, and AI search growth in more depth. Pair what you read there with a live audit of your own site so every concept maps to a concrete fix on your pages.

What good AI visibility looks like

A site that AI engines understand well tends to share a few traits: an accessible robots.txt that does not block AI crawlers, a sitemap, a structured llms.txt describing the business, valid JSON-LD for the organization and key pages, a clean heading hierarchy, concise and skimmable copy, and genuine trust signals. These are exactly the signals the CookMyRank audit measures.

Use these resources to understand why each signal matters, then run the scanner to see which ones your own site already has and which are missing. Treating the score as a checklist makes it straightforward to prioritize the changes that improve how AI search engines find and recommend you.