In short
To get cited by AI engines, make your content easy to lift and easy to trust: lead every page with a direct answer, structure it with clear headings and FAQ blocks, mark it up with schema, publish an llms.txt, keep your facts consistent everywhere, and earn mentions in the third-party sources models already read.
Lead with the answer
A model reading your page is looking for a passage it can quote. Give it one. Open each page with a direct, self-contained answer to the question the page is about — a definition, a conclusion, a recommendation — before you explain, qualify, or sell. If a sentence only makes sense with the paragraph around it, it is hard to cite.
Structure for machines
Structure is how a model navigates your content. Use descriptive headings that read like questions or clear topics, keep paragraphs focused on one idea, and use lists and tables where they fit. Add an explicit FAQ section: question-and-answer pairs map almost perfectly onto how people prompt assistants.
Add schema and llms.txt
Structured data (schema.org) tells engines what your content is — an article, an organisation, a FAQ, a defined term. An llms.txt file, placed at the root of your site, points AI crawlers to the pages you most want them to read. Neither guarantees a citation, but both reduce the chance a model misreads or overlooks you.
Keep your entities consistent
Models build a picture of your brand from every mention of it across the web. If your name, description, location, and core facts are stated the same way on your site, your profiles, and third-party pages, that picture is sharp and easy to trust. If they conflict, the model hedges — or cites someone clearer.
Earn third-party corroboration
The strongest signal you cannot fake is other credible sources saying the same thing. Coverage, directories, reviews, and mentions in the places models already read all raise the odds that a claim about you is treated as fact rather than marketing. GEO does not end at your own domain.
Test, then keep testing
Finally, measure. Pick the questions you want to own, ask them across ChatGPT, Perplexity, Gemini, and Claude on a schedule, and record when you appear and what the engine says. Citation tracking turns GEO from guesswork into something you can improve deliberately.
Common questions
What is an llms.txt file?
llms.txt is a plain-text file placed at the root of a website that points AI crawlers and assistants to the pages and information you most want them to use. It works like robots.txt or a sitemap, but for large language models.
Can I pay to be cited by ChatGPT?
Not directly for organic citations. Being named in an answer is earned through clarity, structure, consistency, and third-party credibility — the same way you earn organic search visibility, not through payment.
Do FAQ sections really help with GEO?
Yes. Question-and-answer pairs match how people prompt assistants and how models retrieve answers, and they are easy to mark up with FAQ schema — which is why they are one of the highest-leverage GEO formats.