SEO vs GEO: when search becomes an answer

SEO (Search Engine Optimization) works to get one of your pages ranked high in a list of results. GEO (Generative Engine Optimization) works to get your brand cited inside the answer that ChatGPT, Perplexity, Gemini or Google's AI Overview writes for the buyer. The two coexist, share most of the same technical foundation and measure different things: one measures position and clicks; the other measures presence and citations.

What changes when search becomes an answer?

For twenty years the buyer typed a query, got ten links and clicked one. Today they ask a question and get a finished paragraph with two or three brands named in it. They may never click at all.

This is measurable. Pew Research found that when Google shows an AI summary, 8% of people click a result; without the summary, 15%. Organic traffic did not vanish, but the click became rarer and more qualified. Semrush measured that a visitor arriving from an AI tool converts 4.4 times more often than the average search visitor. Fewer people come in; the ones who do already know what they want.

In B2B the effect is larger, because the buying journey was already long and research-heavy. The head of growth who used to open eight tabs to compare vendors now asks an assistant "which companies do X for SaaS in Brazil?" and reads a summary. If your brand is not in that summary, you did not lose a click. You never made the consideration list.

According to HubSpot's State of Marketing 2026, 40.6% of marketing teams are already updating their SEO strategy for AI search. That is not the vanguard; it is the middle of the curve.

SEO and GEO side by side

What do answer engines use as sources?

A language model does not "rank" in the classic sense. It retrieves passages, judges whether they are reliable and consistent with each other, and composes a text. What raises the odds of your brand ending up in that text:

A clear entity. The machine needs to know who you are: consistent name, stable description, category, location, named people. If the website says one thing, LinkedIn says another and the Google Business Profile says a third, the machine hesitates and cites whoever does not.

Consistency across sources. It is not only your site. It is what directories, comparison pages, communities, press and third-party profiles say about you. The more independent sources repeat the same description, the more the machine trusts it.

Quotable pages. A paragraph that answers a question directly, stands on its own and contains a verifiable claim is what the machine can lift and reuse. Text that only makes sense after reading three earlier sections cannot be lifted.

Data and claims with sources. The Princeton paper that gave GEO its name tested what increases a source's visibility in generated answers. Citations, statistics and quotes from named sources raised visibility by up to roughly 40% in the experiments; keyword stuffing lowered it. It is the opposite of 2012 SEO.

FAQ in question-and-answer form. The machine answers questions. A page that already organises buyer questions with short answers is in the right format.

Structured data. Schema.org for organisation, person, service, FAQ and article. It does not guarantee a citation, but it removes ambiguity about what the page is.

Visible dates. Published on, updated on. Answer engines prefer recent sources when a topic moves fast, and penalise content with no time signal.

This page tries to follow those rules: it opens with a two-sentence definition, uses questions as headings, names its sources and shows its date. We are the first client of our own operation and use this site as the test bench.

What stays exactly the same?

GEO does not fix what the answer engine cannot see.

• The offer. If the value proposition is not clear to a human, it will not be clear to a model. The machine summarises what exists; it does not invent a better positioning for you.
• Distribution. Being cited is a door. Outbound, partnerships, community and content still bring people to it.
• Conversion. The visitor who arrives from an AI answer lands on one of your pages. If that page has no proof, no clear call to action and no path to a conversation, the qualification gain is wasted. That is the job of the website work.

We treat GEO as part of the continuous discovery routine, next to technical SEO, not as a one-off project. What that workstream includes is described under SEO & GEO in our services.

How do you measure GEO without paid tools?

There are tools that monitor citations at scale. They help once the operation grows, but you do not need them to start. According to chiefmartec's 2026 survey, only 13.6% of marketing organisations measure their AI inclusion rate. Most still measure nothing, so a simple routine already puts you ahead.

The question routine

1. List 15 to 25 questions your buyer would ask an assistant. Mix category questions ("what is X"), comparison questions ("best X vendors for Y") and decision questions ("is it worth hiring X or doing it in-house?").
2. Ask each question in three or four engines (ChatGPT, Perplexity, Gemini, AI Overview) once a week, on the same day, in a private window or with a clean account.
3. Log it in a spreadsheet: question, engine, date, brands cited, whether your brand appears, in which position and with which link.

Share of citations

For each question, divide the number of times your brand was cited by the total number of brand citations in that answer. Add it up weekly. The absolute number matters less than the trend, and less than the comparison with the two or three competitors you chose to track.

Complementary signals

• In analytics, create a segment for traffic referred by AI assistant domains. It is small, but it grows and converts differently.
• In Search Console, watch impressions for long, question-shaped queries. They tend to be the same ones feeding generated answers.
• Write down what the machine says about you when it cites you. If the description is wrong, the problem is entity, not content.

Which mistakes delay citation the most?

• Treating GEO as a prompt trick. There is no "secret text for ChatGPT". There are reliable, quotable sources.
• Publishing volume without sources. Fifty generic articles about your category compete with the rest of the internet. One honest comparison with your own data competes with very few.
• An unstable brand description. Every channel with a different tagline. The machine does not know which one to use and uses none.
• Hiding who is speaking. Pages with no author, no date, no identifiable company. Anonymous sources get cited less.
• Blocking AI crawlers by reflex. There is a legitimate debate about content licensing, but blocking everything in robots.txt and then asking why you are never cited is incoherent.
• Measuring clicks only. If the single metric is organic sessions, GEO will look useless, because part of its value shows up before the click.

A GEO checklist for a B2B brand

• Identical name, description and category on the website, LinkedIn, Google Business Profile and industry directories.
• An "about" page with named people, their role and a way to reach them.
• One page per buying intent, each opening with a direct two- or three-sentence answer.
• A real FAQ, built from the questions sales hears every week.
• Every numeric claim attributed to a named source in the text.
• Schema.org for organisation, service, FAQ and article.
• Visible publication and update dates.
• A question-routine spreadsheet with weekly share of citations.
• Two or three competitors tracked in the same routine.
• A quarterly review of what the machines say about the brand.

What to do now

1. Write the 15 questions your buyer would ask an assistant and run the first round this week. Note who gets cited.
2. Fix the entity before the content: one company description, the same everywhere.
3. Pick the three most important pages on your site and rewrite the first paragraph of each as a direct answer to the question in its title, with a source and a date.

If you want a starting point, the question-routine spreadsheet is in resources.