Guides

Everything we have learned running the measure-and-fix loop against real domains: how answer engines choose sources, how to measure whether they choose you, and the fixes that change the answer.

• How to rank in ChatGPT — ChatGPT does not rank pages, it picks sources to cite. Here is what makes a page citable, how to measure it, and the fixes that change the answer.
• AI search visibility — AI search visibility is how often answer engines mention and cite your brand. How to measure it properly, what moves it, and what to ignore.
• AEO vs SEO vs GEO — SEO wins rankings, AEO wins the answer, GEO wins the citation. What each term actually means, how they overlap, and how to measure all three.
• Why AI doesn't mention your brand — Six concrete reasons ChatGPT and Perplexity skip your brand, how to tell which one applies to you, and the fix for each.
• Answer-first content structure — The answer-first structure that gets pages lifted into AI answers and featured snippets, with the exact block pattern to use.
• What is llms.txt? — llms.txt is a plain-markdown file that tells AI assistants what your site is and where to read more. What it does, what it doesn't, and how to write one.
• AI crawlers and robots.txt — Every major AI crawler user-agent, what it feeds, and how to allow or block each one in robots.txt without losing visibility.
• Entity clarity and schema — How to make an AI model certain about what your brand is, using Organization and Person schema, sameAs links and consistent naming.
• FAQ schema in 2026 — Google retired most FAQ rich results, but FAQPage schema still helps answer engines. When to use it, how to write it, and when to skip it.
• How to track AI citations — A repeatable method for measuring whether ChatGPT, Claude, Perplexity and Gemini cite your brand, without fooling yourself with one-off checks.