To get your business to show up in ChatGPT and AI search, structure your content the way answer engines read it: lead with a direct answer in the first paragraph, use real questions as headings, add FAQ sections marked up with schema, include specific facts, and keep pages fresh. AI engines cite clear, well-structured, up-to-date sources — so being citable is the new being rankable. AI answers now appear on a large and growing share of searches, and many of them end without a click to any website. Being inside the AI's answer is the new page one, and it's a place you can deliberately earn.
How is this different from normal SEO?
It's an added layer on top of good SEO, not a replacement for it. The same fundamentals still matter — a fast, crawlable site, clear pages, real authority. What's new is how the answer is assembled: instead of ranking ten links, the engine pulls from a small handful of sources and stitches them into a paragraph. That changes what wins. The pages that get cited aren't necessarily the "highest ranking" ones; they're the ones easiest to lift a clean, correct answer from. Optimising for AI means optimising to be quoted.
What's the single highest-impact change?
Answer the question in your first paragraph. AI systems weigh a page heavily on its opening, so lead with a complete, standalone answer instead of building up to it with an introduction. If the title asks "how do I get more direct bookings?", the first two sentences should be the answer, in plain language. Everything after can add depth and nuance, but the extractable answer has to come first. This one habit — answer-first, not answer-eventually — moves the needle more than any other on-page change.
Why do question-shaped headings matter so much?
Because they match how people ask, and how engines search. LLMs pattern-match a user's question against the structure of your page, so a heading that reads "How much does it cost?" aligns far better than one that reads "Pricing." Rewriting your section headings as the real questions your customers ask makes each section a ready-made answer to a query. It's one of the highest-return changes you can make, and it improves the page for human readers at the same time.
How do FAQs and schema help?
They speak the format AI engines prefer. An FAQ section written as genuine question-and-answer pairs is, in effect, pre-packaged answers — and when you mark it up with FAQPage schema, you hand the machine an explicit, unambiguous map of those Q&As. A large share of AI-cited pages carry structured data, because it removes guesswork about what your page says. FAQs also let you capture the long tail of specific questions that don't warrant their own page but are exactly what people ask assistants.
What else earns citations?
Three things. First, specific, verifiable facts and figures rather than vague advice — a number with a source is far more quotable than "it varies." Second, a named, credible author, because entity and authorship signals help an engine treat you as a source worth trusting rather than anonymous copy. Third, freshness: AI systems have a strong recency bias, and citations to a page tend to fade as it ages, so refreshing your key pages every few months keeps them in rotation. Vague, unsigned, stale content is exactly what these systems skip.
Do I need to block or invite the AI crawlers?
Invite them — or at least don't accidentally block them. Answer engines can only cite what they can read, so make sure your robots settings and any bot rules allow the major AI crawlers, and keep your important content server-rendered rather than hidden behind logins or scripts. A page the engine can't reach is a page it can never quote. This is a quiet technical detail that decides whether all your good structure is even visible.
How do I know if it's working?
Watch for mentions, not just rankings. Ask ChatGPT, Perplexity and Google's AI the questions your customers ask and see whether you're named or cited. Track which of your URLs get pulled into answers over time. The metric is shifting from "where do I rank?" to "am I in the answer, and how often?" — and you can only improve what you look at.
Should I add an llms.txt file?
It's a useful supplement, not a silver bullet. An llms.txt is a plain-text map at your site's root that points AI systems to your best pages and explains what your business is — a light way to make your most important content easy to find and understand. It's worth adding, but keep it in proportion: Google has said it doesn't rely on llms.txt, and it won't rescue thin or badly structured content. Do the high-impact things first — answer-first pages, question headings, FAQ schema, freshness, and crawlable content — then add an llms.txt as a finishing touch. It's a small, sensible extra on top of the fundamentals, not a substitute for them.
Krubly builds every website and blog AEO-ready by default — answer-first structure, question-shaped headings, FAQ schema, clean markup, and crawlable, server-rendered content — so your business is set up to be cited, not just ranked. The structural work that these engines reward is done for you; you bring the honest, specific answers only you can give.
