GEO vs SEO: what changes and what doesn't

SEO, search engine optimization, is the work of helping pages be found and chosen in search results. GEO, generative engine optimization, is the work of helping a brand be mentioned, cited and described accurately in answers written by AI systems such as ChatGPT, Perplexity, Gemini, Claude and Google’s AI Overviews and AI Mode.

The two are not rivals. Many generative answers are built on top of search: the system retrieves pages, reads them and writes a summary. If your pages cannot be found or understood, they are unlikely to shape the answer.

Google’s own guidance on its generative AI features says the usual SEO fundamentals still apply, because those features rely on the same crawlable, helpful content and search systems. That matches what teams see in practice: the foundations carry over.

Content still matters most. Pages that answer a real buyer question directly, with specifics such as who the product is for, what it costs and how it compares, give an answer engine something concrete to use.

Crawlability still matters. If robots rules block a crawler, or key text only appears after scripts run or behind a login, that text may never reach the system writing the answer.

Authority and sources still matter. Answers borrow from pages that other people trust and link to, so reviews, independent comparisons and accurate listings elsewhere on the web keep their value.

The unit of success changes from a position in a list to a sentence in an answer. A buyer may read a summary that names three products and never click a link, so being named and described correctly matters even when there is no visit to count.

Questions get longer and more specific. People ask assistants full questions with context, such as their team size, budget or current tool, so a single keyword rarely stands in for the real question.

Answers vary. The same question can produce a different answer an hour later, on another engine or in another country. A single screenshot is an anecdote, not a measurement.

Several engines matter at once. Each assistant retrieves and weighs sources differently, so a brand can appear often in one and rarely in another.

When an assistant searches the web before answering, it tends to cite pages that answer the question plainly and that it can fetch without friction. In B2B categories those are often a vendor’s own pricing, documentation and comparison pages, plus third-party pages such as review sites, directories, comparison articles, community threads and press coverage.

The mix differs by engine and by question, and it changes over time, so treat any universal list with suspicion. The reliable way to learn what shapes answers in your category is to ask the questions yourself and record which sources appear.

A brand can also be mentioned without being cited. That usually means the answer drew on other pages about you, which is a reason to check that those pages are accurate.

Measure per buyer question, not per keyword. For each question, track whether you were mentioned, whether your site was cited, which competitors were named, which sources appeared, and whether the description of your product was accurate.

Split unaided questions, which do not name you, from branded ones, which do. Unaided questions measure discovery; branded questions measure recall and accuracy. Mixing them hides the number that matters most.

Report rates with a range. Because answers vary, a mention rate from a small sample needs a confidence interval, and a change only counts when the before and after ranges stop overlapping.

Keep your SEO metrics. Impressions, clicks and rankings still tell you whether the pages that feed answers are being found. The two sets of numbers will not always move together, and that is useful information too.

Write down the twenty questions buyers ask before they buy, and check how two or three assistants answer them. Find the questions where competitors are named and you are not.

For each gap, look at the sources the answers used. If they are your own pages, make those pages clearer and more specific. If they are third-party pages, make sure you are listed and described accurately there.

Keep product facts consistent everywhere: your site, your docs, your listings and your structured data. Structured data should describe what is visible on the page, not add claims that are not there.

“GEO replaces SEO.” It does not. Most of the work that makes a page useful and findable in search also makes it usable by an answer engine.

“One file or tag will make AI recommend us.” No single file, schema type or llms.txt guarantees a mention. They can help systems understand a site, but the answer still depends on the content and the sources around it.

“We should publish a page for every prompt.” Thin pages written for each phrasing rarely help buyers and are hard to keep accurate. Fewer, stronger pages that answer real questions are easier to maintain and to trust.