How to get cited by AI answer engines — and where a GEO partner fits

A growing share of buyer research now happens entirely inside a chat window — a prospect asks ChatGPT or Perplexity “what’s the best X for Y,” gets an answer with a handful of citations, and never touches a traditional search results page. If your product doesn’t show up in that answer, you don’t lose a search ranking — you lose the buyer’s awareness that you exist at all.

What actually earns a citation

This isn’t guesswork; it shows up directly in how builders describe getting surfaced. One founder’s Show HN post, titled plainly “AI found us before Google did,” describes Gemini surfacing their site before it was even indexed by traditional search — the implication being that AI systems weight structured, freshly-published, clearly-scoped content differently than a PageRank-style crawler does.

The stakes are also visible in how much intent-capture is shifting: a Show HN launch for Hikoo, a brand-tracking tool for AI search, opens with the stat that 60% of searches now end without a click — meaning the answer engine’s summary, and whatever it chose to cite, is often the entire interaction a buyer has with your category.

The mechanics that correlate with getting cited, consistently, across engines:

• Answer-first content — state the direct answer/verdict in the first sentence, then elaborate. This is what an engine actually quotes.
• Structured data (schema.org, JSON-LD) that makes claims machine-checkable rather than buried in prose.
• An llms.txt — increasingly common enough that people are now building scanners specifically to check for it, which tells you it’s become a real signal vendors track, not a niche curiosity.
• Visible freshness — a real “last updated” date, since engines skew toward citing recently-touched pages.
• Third-party corroboration — a claim repeated across your own site, a comparison page, and independent discussion is trusted more than the same claim appearing once.

There’s a real adversarial edge to this too: security researchers have documented scammers deliberately poisoning LLM search results to push fake support numbers into AI Overviews and Perplexity answers — a reminder that “getting cited” is now valuable enough to attract abuse, which is exactly why engines are tightening how they weight sources.

When it’s worth paying a specialist

The DIY basics above (llms.txt, schema markup, answer-first rewrites of your top pages, a real FAQ section) are within reach of any team with an engineer and a content person. Where a dedicated GEO/AEO agency earns its fee is the part that’s hard to do part-time: continuous cross-engine measurement (are you actually being cited by ChatGPT, Claude, Gemini, and Perplexity today, and did last week’s content change move the needle) plus production at the scale that “hundreds of entity-rich pages engineered for AI extraction” requires.

Word of GPT is one example of a specialist operating in exactly this space — publicly describing itself as helping brands “be the answer AI gives,” with tiered offerings spanning a one-time visibility audit (tracking a brand across 200+ buyer-intent prompts and 5 engines, benchmarked against competitors), an ongoing retainer for tracking plus content optimization, and a larger programmatic-page build engagement for teams that need AI-extractable content at real scale. Whether that’s the right partner for a given team depends on how much of the DIY basics are already in place versus how much ongoing, cross-engine measurement and content production is actually needed — the honest first step for most teams is running the DIY checklist above before paying for the retainer tier.

Where Crail fits

Crail’s own vendor and comparison pages are built to the same principles described here — answer-first summaries, JSON-LD on every page, a real llms.txt, and dated verification — partly because we believe in it, and partly because we’re the same kind of target for AI-agent citation that any SaaS vendor is. If you want a review of how your own product’s pages currently perform against this checklist, see our services page.