Be in the index first
AI answers are built from search results, so the prerequisite is ranking and being crawlable for the questions you care about. If you're not in the results an engine pulls, you can't be in its answer. SEO is step zero. Two crawl details that quietly block citation — check that your AI-crawler access isn't disallowed in robots.txt (GPTBot, Google-Extended, PerplexityBot, ClaudeBot are separate user agents from Googlebot, and blocking them removes you from those engines), and check that your key answers render in raw HTML, not only after JavaScript. Retrieval bots often read the unrendered page, so an answer injected by a script may never be seen.
Make your facts machine-readable
Give clear, direct answers near the top of pages, add schema and structured data, and keep your entity information — who you are, what you do — consistent and unambiguous across the web. Engines cite blocks they can lift cleanly and verify. A citable passage states one fact in one self-contained sentence, attributes figures to a named source, and avoids pronouns that only resolve from the paragraph above. Specific, attributable claims get quoted. Vague brand copy doesn't.
Build citable authority
Earn references from credible places, show real expertise with named authors and sources, and publish genuinely useful content rather than thin pages. AI engines favour sources that look trustworthy to a reader, because that's roughly what they're trained to surface. Corroboration carries weight here — a claim repeated consistently across several independent sites reads as settled fact, while a claim that exists only on your own domain reads as marketing. So the work is partly off your site, getting the same facts about you stated the same way elsewhere.
The engines don't all pull the same way
"AI search" isn't one target. Google's AI Overviews lean on Google's own index and reward classic ranking strength. Perplexity runs live retrieval and cites visible source links, so fresh, crawlable, link-worthy pages do well. ChatGPT's browsing mode pulls from a web search at answer time, while its base model answers from training data you can't directly edit — which is why broad, consistent presence across the web matters more than any single page. Gemini sits close to Google's stack. The shared thread is retrieval plus trust, but if one engine ignores you, check that engine's crawler access and whether it cites links at all before rewriting content.
Common mistakes and how to measure it
The frequent errors — treating AI citation as a trick separate from being a genuinely good source; chasing a model's training data, which you can't rewrite, instead of the live-retrieval layer you can influence; and assuming a single viral mention sticks, when it's consistent corroboration that holds. To check whether it's working, actually ask the engines your target questions on a fixed schedule and log whether you're named or linked — there's no dashboard that reports this reliably yet, so manual prompt testing is the honest measure. Pair that with referral traffic from chatgpt.com, perplexity.ai and similar in analytics, plus a steady rise in branded search. My take — if you wouldn't cite the page yourself, no amount of schema makes an engine want to either.