AEO Playbook: Get Your B2B Site Cited by AI Answers

To get a B2B site cited by AI answer engines, give each page one clear, self-contained answer in the first 80 words, mark it up with schema, keep it fresh with real dates, and earn third-party mentions the models already trust. Answer engines don't rank ten links — they pick a few passages to quote. AEO (answer engine optimization) is the practice of making your passages the easy, safe ones to quote.

What is AEO and how is it different from SEO?

AEO is the work of getting your content quoted inside an AI answer — a ChatGPT reply, a Perplexity summary, a Google AI Overview — not just listed in a results page. Classic SEO competes for a blue link; you win a click. Answer engine optimization competes for a sentence inside the answer; you win a citation and, often, the trust that comes with it.

The mechanics are different. A search engine ranks whole pages. An answer engine retrieves short passages, then a model decides which ones to repeat. So a page can rank fine in Google and still never get quoted, because its answer is buried under three paragraphs of throat-clearing. The job of AEO is to surface a clean, correct, attributable answer the model can lift without risk.

For B2B specifically this matters more than for most. Buyers ask assistants comparison and "how do I" questions ("best tools for X", "how does Y work", "is Z worth it"). Those are exactly the questions where a model would rather quote a confident, specific source than guess. If you are clear and well-structured, you become that source. AEO and GEO (generative engine optimization) describe the same goal from two angles — and our full guide to ranking in ChatGPT and Perplexity goes deeper than this playbook.

How do I write an answer-first passage that gets quoted?

Put the complete answer in the first 40–80 words of the section, written so it makes sense if someone reads only that block. No "it depends," no "in this article we'll explore." State the answer, then explain the mechanism underneath it.

The test is simple: copy the first paragraph out of context and paste it somewhere blank. Does it fully answer the heading on its own? If a reader (or a model) needs the paragraph above to understand it, it has an orphan pronoun problem and won't be quoted cleanly. Name the subject in every block. "This approach" means nothing once a model lifts it; "schema markup" travels fine.

Two more habits raise your quote rate:

• Use question-shaped headings that match how people actually ask. "How do I get cited by ChatGPT?" beats "Citation Strategy." The heading is half the retrieval signal.
• Lead with the specific, not the throat-clear. Numbers, names, definitions, and steps get quoted. Vague framing ("in the modern landscape...") gets skipped.

This is the single highest-leverage AEO move, and it costs you nothing but discipline. Most B2B pages already have the right information — it's just in paragraph four instead of sentence one.

Which schema markup helps a B2B page get cited?

Schema doesn't make a model like your writing, but it removes ambiguity about what your page is, which makes a model more confident quoting it. For B2B content, four types do most of the work.

Two rules keep schema honest. First, the markup must match the visible page — invented FAQ answers that don't appear on screen are a quality risk, not a shortcut. Second, keep dateModified truthful and current; it's one of the few freshness signals a model can read directly. We build this into every Greeto site as standard infrastructure, alongside llms.txt and a clean sitemap, so a page ships citable on day one. The same discipline applies to JSON-LD: keep the structured data in lockstep with what a reader actually sees.

Does freshness matter for AI answers?

Yes — answer engines lean toward recent, maintained content, especially for anything that changes (tools, pricing models, "best of" lists, how-tos for software). A page last touched in 2023 is a quiet signal that the answer might be stale, and models hedge against stale sources.

Freshness is not a trick of changing a date field. It means real maintenance: update the facts, re-check the claims, add what changed, and then update dateModified to reflect that work. For B2B, the pages most worth this effort are your comparison pages and your "how does X work" explainers, because those are the queries assistants get asked constantly and the facts move underneath them. A practical rhythm: review your top 10–15 commercial pages on a fixed cadence (quarterly is a reasonable floor), and re-publish the ones where the world actually moved.

In our experience, freshness compounds with the answer-first work above. A page that is both clearly answered and visibly current is a low-risk choice for a model, and low-risk is what gets quoted.

How do third-party mentions affect AI citations?

A lot. Models build their sense of "who is credible on this topic" partly from where else your name shows up — so being mentioned on sites the model already trusts (industry publications, reputable comparison sites, communities like Reddit, well-known directories) raises the odds your own pages get pulled in too. Princeton's GEO research (Aggarwal et al., KDD 2024) found that adding credible citations and statistics to content was associated with generative engines surfacing it more often, which points the same direction: corroboration matters.

For B2B, the realistic levers are:

• Earn genuine mentions, not link spam — a real review, a real "tools we use" list, a real community answer where someone names you.
• Be consistent about who you are across the web, so the model sees one coherent entity, not five half-described ones.
• Make your own claims corroborable — when you cite a real, attributable source (a named researcher, a published study), you give the model a safer reason to repeat you.

You can't fully control off-site mentions, and anyone promising guaranteed AI citations is overselling. What you can control is being the clearest, most accurate, most current source on the questions you care about — which is exactly what makes others want to mention you in the first place.

Can AI write my AEO content?

It can draft, but it can't be accountable — and accountability is the whole point. At Greeto we run a supervised loop (research → plan → build → review → ship) where AI does the heavy lifting and a senior engineer signs off on every fact and claim before it goes live. That review step is what keeps invented statistics, fake FAQ answers, and confidently-wrong comparisons off the page.

This is the same standard AEO rewards. Models are getting better at sniffing out thin, generic, machine-stamped content, and they have every reason to avoid quoting something that might be wrong. Human-in-the-loop review isn't a brand value here — it's the mechanism that makes your content safe to cite. If you'd rather build the whole stack yourself, our guide to building websites with Claude Code shows how the supervised workflow comes together in practice.

FAQ

How long should an answer-first passage be?

Aim for 40–80 words: long enough to fully answer the heading on its own, short enough that a model can lift it whole. If it needs the sentence before it to make sense, tighten it until it stands alone.

Is schema markup required to get cited by AI?

No, but it helps. Clean answer-first writing usually drives the first gains, and schema then removes ambiguity about what your page is — making a model more confident quoting it. Treat structure first, schema second.

Does AEO replace SEO for B2B websites?

No. AEO extends SEO. You still need the technical foundations (crawlability, fast pages, sitemaps) and editorial quality; AEO just adds the passage-level clarity and freshness that answer engines reward on top.

How do I know if my B2B site is being cited by AI?

Ask the assistants directly. Run your real buyer questions through ChatGPT, Perplexity, and Google AI Overviews and see whether you appear and how you're described. It's manual, but for B2B it's the honest signal, and it tells you which pages to fix first.

Which B2B pages should I optimize for AEO first?

Start with comparison pages and "how does X work" explainers. Those are the queries assistants get asked most, and they're where a confident, specific source beats a model's guess — so they convert fastest from clear, current, well-structured content.