To be cited by AI assistants: let the retrieval crawlers reach your pages, answer specific questions in self-contained passages that make sense quoted out of context, keep your business facts consistent everywhere they appear, and support it all with structured data that describes what the page visibly says. There is no submission process and no guaranteed placement — citation is earned through clarity and accessibility, not bought.

Google has been explicit that helpful, people-first content and core SEO practice remain the foundation for generative AI visibility. Nothing below replaces good SEO. It is what to emphasise on top of it when the system reading your page is extracting an answer rather than ranking a result.

To see which of these your own pages already satisfy, our free AI search readiness checker runs the structural half of this list against any public URL and publishes every rule it uses.

Start with crawler access, because it is binary

If a retrieval bot cannot fetch the page, nothing else matters. Two different categories of crawler exist and they deserve separate decisions:

CategoryExamplesWhat blocking costs you
Retrieval / searchOAI-SearchBot, ChatGPT-User, PerplexityBot, BingbotRemoves you from live AI answers entirely
TrainingGPTBot, Google-Extended, ClaudeBot, CCBotAffects model training, not whether you can be cited today

Businesses regularly block the first category by accident while intending to opt out of the second. Check your robots.txt against the named agents, not just the wildcard rule, and confirm nothing at CDN or firewall level is quietly rejecting them either — bot-protection rules can block retrieval crawlers even when robots.txt permits them.

Write passages that survive being quoted alone

This is the single biggest content difference between ranking and being cited. A ranking page can build an argument across several paragraphs, because the reader arrives and reads in order. An extracted passage has no such context — it is lifted out and shown on its own.

Practically, that means:

  • Answer in the first sentence under the heading. Not after a paragraph of framing about why the question matters.
  • Repeat the subject rather than relying on pronouns. "A website redesign typically takes…" survives extraction; "It typically takes…" does not.
  • Make headings match real questions. If the query is "how long does a website redesign take", a heading reading exactly that beats one reading "Timelines".
  • Keep each answer complete in one place. An answer assembled from three separate sections is hard to extract and easy to misquote.
  • State qualifiers inside the answer. "From $10,000 AUD ex GST" is safe to quote. "$10,000" with the GST basis two paragraphs later is not.

Be describable: consistent facts everywhere

Assistants assemble a picture of your business from every source they can reach. Inconsistency between them creates uncertainty, and uncertain facts get omitted rather than cited.

Keep the same business name, contact details, service descriptions and service area across your website, business listings, review platforms and professional profiles. Where you serve a region rather than trading from a shopfront, say so plainly — a remote-first Australian studio serving Sydney, Melbourne and Brisbane should state exactly that rather than implying offices it does not have. Overstating physical presence is both a trust problem and an accuracy problem when a system repeats it.

Use structured data honestly

Schema markup does not buy citations. It removes ambiguity — what this page is, who published it, what it claims, how items relate. That makes a page cheaper to interpret and safer to reuse.

The rule that matters: markup describes what the page visibly shows. FAQPage schema for questions not on the page, or prices in markup that do not appear in the copy, is a liability. It risks manual action in search and produces exactly the kind of mismatch that makes a source look unreliable. Our SEO & AEO guide covers the markup patterns worth implementing first.

Cover the questions buyers actually ask

AI answers are triggered by questions, so content organised around real questions has a structural advantage. The most useful sources are the ones nobody else will write:

  • Specific costs with the basis stated. Ranges with what moves them, not "contact us for a quote".
  • Realistic timelines, including what makes them longer.
  • Honest comparisons — including when your own option is the wrong one.
  • Stated limitations. A source that says where an approach does not work reads as more reliable than one claiming universal success, to human readers and to systems weighing sources alike.

That last point is worth dwelling on. Content that only sells is easy to identify and easy to discount. Content that qualifies its own claims is more useful, and usefulness is the whole selection criterion.

What not to bother with

  • Hidden text aimed at bots. Content not visible to humans is a spam signal, not an optimisation.
  • Keyword-stuffed FAQ blocks. Twenty near-identical questions dilute the page instead of covering more ground.
  • Paying for guaranteed AI placement. There is no such product. No one controls which sources an assistant selects.
  • Rewriting everything for machines. Optimising against human readability is self-defeating, since these systems are selecting content on the basis of usefulness to people.

How Devoq approaches this

SEO & AEO services at Devoq treat answer-engine visibility as an extension of ranking foundations rather than a separate product — technical health and content quality first, then the passage structure, entity consistency and structured data that make pages extractable. AI SEO, AEO & GEO goes further for teams whose buyers already research primarily through assistants.

Frequently asked questions

Do I need to block or allow AI crawlers to be cited?

You need to allow them. Retrieval bots such as OAI-SearchBot, ChatGPT-User and PerplexityBot fetch pages to answer live questions, and blocking them removes you from consideration entirely. Training crawlers like GPTBot and Google-Extended are a separate decision about model training, not about being cited today — treat the two categories independently in robots.txt.

Does schema markup make AI assistants cite you?

Not directly, and no structured data guarantees a citation. What schema does is remove ambiguity about what a page is, who published it and what it claims, which makes a page easier to interpret and reuse confidently. It supports citation; it does not purchase it. Schema that describes content the page does not visibly show is a liability, not an advantage.

Is AI search optimisation different from normal SEO?

The foundations are the same — Google has been explicit that helpful, people-first content and core SEO remain the basis for generative AI visibility. What differs is emphasis: passage-level self-containment, direct answers stated plainly rather than teased, and clear entity information matter more when a system is extracting a sentence rather than ranking a page.

Why does an AI assistant cite a competitor instead of us?

Usually one of three reasons: the competitor answered the specific question in a self-contained passage and you answered it across three paragraphs; the competitor is mentioned and described consistently across sources the model can reach; or your page is not accessible to the retrieval crawler. Check crawler access first, because it is binary and quick to rule out.

How do I tell whether AI search is sending traffic?

Referrals from assistant domains appear in analytics referral reports, though volumes are typically small compared with the visibility itself, since many answers are read without a click. Treat AI citation as a brand-visibility channel measured by whether you appear and how accurately you are described, not purely by sessions.

Run the free AI search readiness checker on your most important page, or talk to Devoq about AI search visibility — starting with whether the retrieval crawlers can actually reach your pages today.