Generative Engine Optimization (GEO) is the practice of getting your content cited in AI-generated answers: Google’s AI Overviews and AI Mode, ChatGPT, Perplexity and the rest. Before you spend a dollar on it, read what Google says. Its guide to optimizing for generative AI features explains that SEO best practices still apply because those features are “rooted in our core Search ranking and quality systems.” There is no separate GEO algorithm to game. On Google’s surfaces, GEO is SEO done well, with a few emphases that matter more than they used to.
That removes most of the GEO hype. You don’t need a secret playbook. You need strong fundamentals, and content shaped so a model can extract it and trust it. This article covers what earns a citation; for what AI Overviews are doing to clicks, and which queries are most exposed, see how AI Overviews are changing SEO.
How AI answers get built
Google describes a technique it calls query fan-out: AI Overviews and AI Mode may run several related searches across subtopics and data sources, then build one answer from the results, with links to the pages that support it (AI features and your website). Two consequences follow.
First, you are no longer optimizing for one keyword. You are optimizing to be relevant across a cluster of related questions, so depth and topical coverage beat a single exact-match page.
Second, the answers draw on Google’s index. A page must be indexed and eligible to appear in Search with a snippet before it can be shown as a supporting link, and the features run on the same ranking and quality systems as ordinary results. Studies disagree on how closely AI citations track the organic top ten, and the overlap varies by query, but the dependency runs one way: a page that can’t compete in ordinary search has little chance of being cited. The foundation is ordinary, durable SEO.
What gets content cited
Ranking makes a page eligible. Three habits make it easy to quote: a clean answer near the top of each section, specific and original information, and clear authorship, with structured data where it fits.
Clean answer paragraphs
Models extract short, self-contained answers well. Open a section with a two-to-four-sentence paragraph that defines the concept or answers the question directly, in plain language, with no preamble. This article opens each major section that way on purpose: that structure is how a passage gets extracted. It is also better writing for people, which is a good sign that it is legitimate optimization rather than a trick.
Specific, original information
Google’s guide puts the weight on original, non-commodity content: expert or first-hand takes that go beyond common knowledge. In practice that means concrete numbers, ranges, constraints, steps and named methods, the things a model can quote with confidence. Hedged content (“it depends,” “results may vary,” with nothing behind it) gives a model nothing to lift. Say the actual threshold, the actual range, the actual step.
Clear, accurate authorship
Readers want to know whose experience a claim rests on. Google’s guidance on helpful, reliable content asks whether it is self-evident who created a page, and whether the page carries a byline where a reader would expect one. The same guidance says E-E-A-T itself isn’t a specific ranking factor, so a byline is not a switch that produces citations.
Match the byline to where the expertise lives. When an article’s authority comes from one person’s experience, such as a clinician’s advice or an engineer’s account of an incident, name that person and link to a real bio. When it sets out an organization’s shared practice, publishing under the organization is accurate, provided the organization’s own record (who it is, what it has done, how to reach it) is easy to check. Never invent an author or credentials to manufacture the signal.
Structured data where it fits
Google is explicit that structured data isn’t required for its generative AI features and that there is no special schema.org markup for them. It still recommends structured data, because it makes pages eligible for rich results. Mark up what a page genuinely is (Organization, Article, BreadcrumbList, LocalBusiness, Product) so its entities are stated rather than inferred. This is standard technical SEO, and part of how we build sites in our website development work.
What you can safely ignore
Google’s guide names several popular GEO tactics as unnecessary for its Search features. Skipping them saves real money.
- You don’t need an
llms.txtfile. Google says you don’t need new machine-readable files, AI text files or special markup to appear in its AI features. - You don’t need to chunk or rewrite content for AI. There is no requirement to break content into tiny pieces, and no need to write in a special way for generative search.
- You don’t need a separate GEO vendor or tool stack to “submit” pages to AI engines. The way in is organic visibility plus content that is easy to extract.
That guidance covers Google. Other assistants run their own crawlers and retrieval, so check that your robots.txt doesn’t block the ones you want to be cited by.
If a vendor sells proprietary GEO technology that bypasses ordinary SEO, treat it as you would a promise to “submit your site to 500 search engines”: it sells the appearance of a shortcut that doesn’t exist. We wrote about that kind of pitch in how to vet a web agency.
A practical GEO checklist
The short version: do the SEO fundamentals well, then make each page easy to quote.
- Earn organic visibility first. A page that can’t compete in ordinary search is unlikely to be cited.
- Build topical depth, not isolated pages. Cover the cluster of related questions around your core topics so you stay relevant across the fan-out.
- Open sections with a clean answer of two to four sentences. Make the extractable answer easy to lift.
- Be specific and original. Numbers, ranges, named methods, real constraints, first-hand experience.
- Make authorship clear and accurate. Name the expert where one person’s expertise is the point, and back an organizational byline with a record readers can check.
- Implement structured data that describes the page honestly.
- Keep the site fast and crawlable. Performance and clean architecture remain table stakes: the same Core Web Vitals and technical hygiene that classic SEO requires.
- Measure it. Search Console’s Generative AI performance report shows how people reach your content through Google’s AI features.
The bottom line
GEO is not a new discipline you have been missing. It is SEO with the volume turned up on a few things: topical depth, extractable answers, specific and original information, and clear authorship, all resting on strong organic rankings. A useful rule when someone pitches a GEO tactic: if it wouldn’t also make the page better for a human reader or an ordinary search result, don’t pay for it.