GEO vs SEO: What Actually Changes, and What Doesn't

SEO (search engine optimization) is the work of earning visibility in search results: making pages crawlable and indexable, relevant to the queries people type, and authoritative enough to rank.

GEO (generative engine optimization) is the work of earning visibility in answers produced by generative systems such as ChatGPT, Gemini, Perplexity and Google's AI Overviews and AI Mode. The term comes from a 2023 research paper by Pranjal Aggarwal and colleagues at Princeton and IIT Delhi, GEO: Generative Engine Optimization, presented at KDD 2024.

You will also see answer engine optimization (AEO), which predates GEO and grew out of featured snippets and voice search. The three terms describe overlapping work, and buyers use them interchangeably.

More than most GEO marketing admits. Google says its AI Overviews and AI Mode are rooted in the same core ranking and quality systems as regular Search, and that normal SEO best practices still apply. ChatGPT search and Perplexity also retrieve from crawled indexes. So the SEO basics carry straight over: crawlable pages, clean indexing, content that matches what people ask, and a site other sites trust.

If a page cannot be retrieved for the searches an AI system runs, it cannot be cited. GEO without SEO is building on sand.

Ranking and recommendation drift apart

We run 100 commercial software questions per category through ChatGPT with web search and compare the brands it recommends with Google's top ten for the same questions. The share of recommendations going to brands whose own website does not rank in that top ten varies widely:

Project management reflects the September 17 recount under the current rulebook, as explained on its teardown page. The spread is the point: in payroll, ranking and recommendation line up about half the time; in project management, they barely line up at all. There is no universal rule, which is why the two need to be measured separately.

Being mentioned is not being chosen

SEO has one outcome per result: you rank or you do not. Generative answers have several. A brand can be recommended for a specific case, listed in a table without being picked, or mentioned in passing. In our payroll teardown, Paychex appeared in 29 answers and was chosen in 5. Counting mentions would call that a success.

Other people's pages carry more weight

Answers are assembled from several sources, often review sites, comparison articles and publishers rather than the brand's own site. GEO therefore spends more of its effort on accurate presence in those sources. Your own content still counts: gusto.com was cited in 65 of 100 payroll answers, most of them for questions that never mentioned Gusto.

Evidence beats keywords

The original GEO study tested nine ways of rewriting content. Adding quotations, statistics and citations to credible sources raised visibility in generated answers by up to 40 percent, while keyword stuffing, a classic SEO habit, did little. Lower-ranked sources gained more than top-ranked ones. It was a lab benchmark, so the numbers are directional, but the direction matches what we see in live answers.

Results move around

Ask the same question twice and you may get different brands. GEO measurement has to sample repeatedly and report patterns. A single screenshot proves very little.

No. GEO is a layer on top of SEO, not a replacement for it. Classic results still carry most commercial search demand, and they are the pool generative answers draw from. What is changing is that more buyers now see a synthesized answer before, or instead of, a list of links, especially early in a purchase when they are building a shortlist. That makes the question "are we recommended?" worth measuring alongside "do we rank?"

• Use one query set. The commercial questions your buyers ask drive both rank tracking and answer sampling.
• Fix the shared foundation once. Crawling, indexing, site structure and page quality serve both surfaces.
• Write pages that state things plainly. Who the product is for, what it costs, how it compares. That helps rankings, answers and buyers.
• Map the sources. Find which third-party pages both surfaces lean on in your category, and make sure you are accurately represented there.
• Report together. Rankings, recommendation share and revenue in one report, against the same competitors.

That combined approach is what we sell as AI SEO: one program across both surfaces instead of two vendors working on the same pages.

• Dropping SEO to chase AI answers, and starving the layer the answers are built from.
• Treating GEO as a formatting trick: special files, special markup or content chopped into chunks. Google says none of that is required.
• Reporting mentions instead of recommendations.
• Assuming your Google rankings tell you how AI tools describe you. In most of our categories they do not.

Is GEO the same as AEO?

Close. Both aim at visibility inside AI-generated answers. AEO (answer engine optimization) grew out of featured snippets and voice search and focuses on being the direct answer; GEO focuses on how generative systems assemble answers from several sources. In practice the work overlaps almost completely.

Is GEO just SEO rebranded?

Partly. The foundations are shared, and some GEO services are ordinary SEO with a new label. The genuinely new parts are measuring recommendations rather than rankings, and putting more weight on third-party sources that generative answers cite.

Does GEO apply to Google AI Overviews?

Yes. Google says its AI Overviews and AI Mode are built on its core ranking systems, so strong SEO is the entry ticket, and the GEO work of earning citations and clear recommendations sits on top.

Do I need separate SEO and GEO agencies?

Usually not. Both disciplines work on the same pages, the same technical foundation and the same sources. Splitting them tends to buy duplicated work and two vendors reporting different numbers for one buying journey.

How do you measure GEO?

With a fixed set of buyer questions run on a schedule, coded for whether your brand was recommended, listed or absent, and compared with Google's top ten for the same questions. Treat AI visibility tool scores as samples, not counts.

Which matters more in 2026, GEO or SEO?

For most companies, SEO still drives more measurable demand today, and it is the layer GEO depends on. GEO matters most in categories where buyers ask AI tools for shortlists, which already includes much of B2B software.

• Aggarwal et al., GEO: Generative Engine Optimization (KDD 2024)
• Google Search Central: guide to generative AI features in Search
• High Salience research: seven category teardowns with datasets

Every High Salience engagement starts with the Category Salience Brief: your commercial questions run across Google and the AI surfaces, competitors side by side, and a ranked list of what to fix first.