llms.txt Explained: What It Is, What It Isn’t, and How to Write One
llms.txt is a proposed convention, not a standard, and no major engine confirms reading it. Here is an accurate account of what it does and how to write one.
Answer engine optimization, AI citations and getting cited by ChatGPT, Claude, Perplexity and Gemini.

llms.txt is a proposed convention, not a standard, and no major engine confirms reading it. Here is an accurate account of what it does and how to write one.

AI Overviews resolve queries above the ranked results. Here is how sources get selected, what to change on the page, and how to monitor citation.

Perplexity shows its sources, which makes it the clearest place to learn how AI citation works. Here is what determines whether your passage gets picked.

There is no ranking report for ChatGPT, but behaviour is observable. Here is a method for testing it properly and the patterns that reliably emerge.

Seven concrete, checkable reasons AI assistants skip your site, from blocked crawlers and client-side rendering to entity ambiguity and unextractable prose.

A week-by-week plan to measure, fix and grow how often AI assistants cite your business, using only your existing team and content.

Free AI visibility checkers are useful for one thing and misleading about several others. Here is what they measure, where they break, and how to use them well.

A fair comparison of AI visibility tools in 2026: Profound, Semrush, Ahrefs Brand Radar, Peec AI, Otterly and ARIA, on the dimensions that actually decide fit.

SEO, AEO and GEO are not three departments. Here is what each term actually means, where they genuinely diverge, and which one deserves your budget.

A practical account of what transfers from SEO to answer engine optimization, what stops mattering, and how to run both without doubling your budget.
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