What is GEO in SEO?

What does GEO stand for in SEO?

Generative engine optimization: improving how often and how accurately AI assistants mention your brand when they answer questions.

The term comes from a 2023 research paper by researchers from Princeton and other universities, which tested how page edits changed what generative engines included in their answers. It has since become the common name for AI visibility work in marketing teams.

A 'generative engine' is any system that writes an answer instead of listing links: ChatGPT, Claude, Gemini, Perplexity, Grok, DeepSeek, and Google's AI Overviews and AI Mode. When a buyer asks one of them 'what is the best CRM for a 10-person sales team', the brands in the reply are the shortlist. GEO is about getting onto it.

How do AI engines decide which brands to mention?

They draw on what the model learned in training and, for many questions, on pages fetched by a live web search; brands that appear often and clearly in both get named.

Training data reflects years of public text: reviews, forum threads, news, documentation and comparison posts. If your brand is rarely discussed in those places, a model has little to say about you. This side changes slowly, with each new model version.

Live search works more like SEO. The engine runs a search, reads a handful of pages and writes an answer from them, often with links. Pages that state the answer plainly and rank well for the question are more likely to be read. This side can change within weeks of publishing or updating a page.

What is the difference between GEO and SEO?

SEO earns a position in a list of links; GEO earns a mention inside a written answer, and depends more on what other sites say about you.

The groundwork is shared. A crawlable site, clear pages and a good reputation help both. GEO differs in three places: you measure mentions per question instead of rankings per keyword, an answer can name you without linking to you, and third-party pages often matter more than your own.

How do you start with generative engine optimization?

Measure first, then fix the gaps closest to revenue: write a question list, see who gets named, and work on the questions you lose.

Skipping the measurement step is the most common mistake. Without a baseline you cannot tell whether a new page helped.

• Write 10 to 20 questions buyers ask before they know your name, including 'alternatives to [competitor]' questions.
• Ask each one in the engines your buyers use and record who is named and which links are cited.
• Make sure your key pages say plainly what you do, who it is for and what it costs, in the first paragraph.
• Find the review roundups and comparison posts that answers cite, and ask to be included where you fit.
• Take part in the forums and communities where your category is discussed, with disclosed, useful replies.
• Repeat the same questions weekly and judge the trend monthly.

How do you measure GEO?

Ask the same buying questions on a schedule and track how often each AI engine names you, who it names instead and which pages it cites.

MarketHQ does this on paid plans. It asks your tracked questions every week in ChatGPT, Claude, Gemini, Perplexity, Grok and DeepSeek, shows each answer in full with the links it cited, and turns lost questions into a gap analysis and action plan. Lite tracks 10 questions for $29 a month, Startup 60 for $99 and Growth 120 for $199.

Alongside the AI answers, MarketHQ follows what people say about you and your competitors on Hacker News, GitHub, Stack Overflow, Dev.to, Lobsters and in blogs and news feeds on every plan, with Reddit and social networks on paid plans. Those are many of the conversations engines learn from. For a free first reading, the GEO audit checks ChatGPT and DeepSeek for one domain.

What does GEO work look like for one company?

Illustrative example: a CRM for small sales teams finds that AI answers cite review sites where it is missing.

Illustrative example: a CRM built for small sales teams tracks 15 questions. It is named in answers about 'simple CRM for startups' but not in 'best CRM for a 10-person sales team'. The answers to that question cite two review roundups and a Reddit thread, none of which mention it.

The team asks both roundup authors to consider it, adds a page that answers the 10-person question directly, and starts replying in the subreddit where small sales teams ask for advice. It keeps the 15 questions fixed and reviews them monthly.

What are the limits of GEO?

You can influence AI answers, but no one can guarantee or fully control them.

Engines change models and sources without notice, and answers vary between runs. GEO also cannot fix a product that does not fit the question. Treat it as steady work measured over months. MarketHQ tracks six engines; it does not track Google AI Overviews, Google AI Mode or Microsoft Copilot.