Answer Engine Optimisation (AEO): Getting Cited by ChatGPT and AI Overviews, Not Just Ranked by Google

Ranking first on Google used to be the finish line. Now a growing share of searches never produce a list of blue links at all. A user asks a question, an AI system synthesises an answer from several sources at once, and the "result" is a paragraph with two or three citations embedded in it, not ten ranked pages. Being one of those citations, rather than simply ranking well, is what Answer Engine Optimisation is actually about.

What Answer Engine Optimisation Actually Is

Answer Engine Optimisation (AEO) is the practice of structuring content so it can be directly extracted, summarised, and cited by AI systems, ChatGPT, Google's AI Overviews, Perplexity, that generate a synthesised answer instead of a ranked list of links. It's closely related to Generative Engine Optimisation (GEO), a term used more or less interchangeably in most of the industry, though GEO technically refers to the broader academic framework the practice is built on.

The distinction that actually matters isn't the terminology. It's the shift in what you're competing for. Traditional SEO competes for a ranked position among ten results. AEO competes to be one of two or three sources an AI system chooses to pull from when constructing a single answer, a considerably smaller and more selective target.

Where the Research Actually Comes From

Most of what's confidently asserted about AEO in marketing content traces back to one specific study, and it's worth knowing what it actually found rather than relying on secondhand summaries of it. Researchers from Princeton, Georgia Tech, the Allen Institute for AI, and IIT Delhi published "GEO: Generative Engine Optimization" in 2023, later presented at the ACM SIGKDD Conference in 2024. The study tested nine distinct content optimisation strategies against roughly 10,000 real search queries, measuring how much each strategy improved a source's visibility inside AI-generated responses.

The findings were specific, and some of them cut against common assumptions. Adding citations, statistics, and direct quotations were the strongest-performing strategies tested, improving visibility by up to 40% in some categories. Keyword stuffing, by contrast, one of the oldest tricks in traditional SEO, performed poorly and in some cases reduced visibility. The researchers also found that lower-ranked websites, the ones traditional SEO had left behind on page two or three, benefited disproportionately more from these optimisations than already-dominant top-ranked sites, suggesting AEO offers a genuine opening for smaller B2B sites that could never out-rank established competitors on Google alone.

What Google Itself Has Actually Said, Which Contradicts a Lot of Industry Advice

This is worth stating plainly, because it corrects a widely repeated claim. A meaningful share of AEO content circulating online insists that special schema markup, structured data built specifically for AI, or dedicated "AI text files" are required to appear in AI Overviews. Google's own official guidance on optimising for generative AI features states this directly: structured data isn't required for generative AI search, there's no special schema.org markup needed, and no dedicated machine-readable files are necessary to appear in these features. Google explicitly lists "overfocusing on structured data" as a mistake to avoid.

What Google does say matters is largely continuous with existing SEO fundamentals: content needs to be crawlable and indexed, genuinely helpful rather than written to game a system, and eligible to appear in standard search results with a snippet in the first place. AI Overviews draw from the same underlying index as traditional search, evaluated by the same quality signals Google has used for years.

AEO, GEO, and SEO: How They Actually Relate

The practical implication: AEO isn't a replacement for SEO, and it isn't a separate technical discipline requiring new markup. It's a content-writing discipline layered on top of solid existing SEO, built around making individual passages, not just whole pages, extractable and citable on their own.

How to Actually Write for This

Answer the question in the first two or three sentences, before any preamble. AI systems extract passages, not full articles. A definitional or factual answer buried three paragraphs into a piece of throat-clearing is far less likely to be lifted into a synthesised response than one stated plainly near the top.

Make every section self-contained. A passage that depends heavily on context from three paragraphs earlier is harder for a generative engine to extract cleanly and cite accurately. Writing each section so it could stand alone, with the claim, the support, and the context all present, increases the odds it gets pulled intact.

Cite real sources and use specific figures rather than vague claims. This is the single most consistently supported finding across the research, statistics, quotations, and citations all measurably improved visibility in the Princeton study. "Many companies struggle with this" gives an AI system nothing concrete to extract. A specific, sourced figure gives it something worth quoting.

Use headers phrased the way people actually ask questions. "What Is X" and "How Does X Work" style headers align naturally with how users phrase queries to AI systems, making the section beneath them easier to match to a relevant question.

Write in a non-promotional, factual tone within the informational sections. Content that reads as an advertisement is less likely to be treated as a trustworthy, citable source. Save the persuasive, brand-forward language for a clearly separated conclusion or call to action, not the explanatory body of the piece.

Keep technical SEO fundamentals intact. None of this replaces the basics. A page that isn't indexed, isn't crawlable, or isn't eligible to appear in standard search results has no path into an AI Overview either, since Google draws AI citations from the same index as everything else.

What This Means for a B2B Content Strategy

The practical shift for B2B marketing isn't a wholesale rebuild. It's writing content that answers questions directly and cites real evidence, rather than content built primarily to rank for a keyword. A glossary-style explainer that clearly defines a term in its opening lines, backs claims with sourced statistics, and organises itself around the actual questions a buyer would ask, is doing double duty: it still competes for traditional rankings, and it's structured in exactly the way the research suggests improves citation odds in AI-generated answers.

This matters more, not less, as B2B buyers increasingly research independently before ever speaking with a vendor. A buyer asking ChatGPT or an AI Overview to explain a category or compare an approach is forming an opinion before a sales conversation ever happens, and a company whose content is actually cited in that answer has a genuine, if quiet, influence on that opinion.

The Sources Getting Cited Right Now Aren't Necessarily the Ones Ranking First

Here's what makes this genuinely interesting: because AEO rewards extractable, well-sourced writing rather than backlink volume or domain age, it's one of the few shifts in search history that doesn't automatically favour whoever's been at it longest. A well-structured, well-sourced piece from a smaller B2B site can earn a citation an AI system chooses over a much larger competitor's page, precisely because it answers the question more directly and backs it up better.

This is exactly the kind of content Digital Squad builds through our content marketing and AI SEO work, writing for genuine extractability and citation, not just keyword density, and grounding every claim in real, sourced evidence rather than vague assertion. We track this across the B2B industries we work in, including SaaS, fintech, and professional services, where being the source an AI system actually cites can shape a buyer's shortlist before your sales team ever gets a call. Want to see whether your current content would actually survive being fed into an AI Overview? Let's find out together, the gap between "ranks well" and "gets cited" is usually bigger than teams expect.