What is Generative Engine Optimization (GEO)?

Why GEO Is Becoming Important Right Now

More and more research begins with a question posed to an AI rather than a Google search. The answer isn’t a list of ten links, but a text that cites just a few sources. Anyone not mentioned in these sources loses contact with the buyer before the comparison even begins. This is particularly relevant for B2B companies: CEOs and marketing directors have long been using AI assistants to research vendors. Questions like “Which GEO agency can you recommend?” are now asked verbatim—both on Google and on ChatGPT.

GEO, AEO, SEO: What's the Difference?

These three areas build on one another but are not interchangeable:

SEO (search engine optimization) ensures that your pages rank in traditional search results. It remains the foundation: AI systems with live search preferentially access content that also ranks well on Google.

AEO (Answer Engine Optimization) ensures that your content appears as a direct answer, for example in featured snippets or Google AI overviews. The key: answering questions precisely and comprehensively.

GEO (Generative Engine Optimization) ensures that generative AI systems recognize your brand, describe it accurately, and cite it—even when no traditional search is taking place. Its impact extends more broadly: to your website and to all sources from which models learn about you.

In short: SEO gets you onto the results page, AEO gets you into the answer box, and GEO gets you into the answer itself.

How AI Systems Select Their Sources

AI responses are generated in two ways, and you can influence both. First: Live access (grounding). Systems like ChatGPT with search, Perplexity, or Google AI Mode scan the web in real time and cite pages that answer a question directly, credibly, and in a machine-readable format. Changes here take effect within weeks. Second: model knowledge. Answers derived from the model’s training, without current sources. This picture is formed from many independent sources about you: websites, directories, press coverage, and profiles. It changes slowly, over the course of months. Anyone who takes both seriously therefore works on three levels simultaneously: citable content, technical accessibility, and a consistent brand image across all sources.

What GEO Specifically Covers

In practice, Generative Engine Optimization at bobdo consists of six components:

• Measure first. The documented current state: How do AI assistants describe your brand today, who is cited in response to your buyers’ questions, and how do you stack up against your competitors?
• Content that answers questions. Content whose key sentences stand on their own: opening sentences that fully answer a question, clear headings, and specific numbers instead of adjectives.
• Technical AI Readiness. Open crawler access (GPTBot, ClaudeBot, PerplexityBot), schema markup, llms.txt, and server-side readable content.
• Entity consistency. The same description of your brand everywhere: website, LinkedIn, directories, press. Models learn from repetition across independent sources.
• Correcting Incorrect Statements. If AI systems provide outdated information or confuse one brand with another, the cause almost always lies in the sources. Correcting the information there will correct the answers.
• Ongoing monitoring. Mentions, quotes, and share of voice over time, compared to the documented starting point.

Is GEO measurable? Yes, and that's the point.

GEO without measurement is just a claim. What can be measured are: the number of mentions of your brand in AI responses, citations of your pages as sources, your share of voice compared to competitors, and the accuracy of the description. At bobdo, we document the current state before every project and report against it. The timeline is part of the truth: grounding responses take weeks, while pure model knowledge takes months.

Who should subscribe to GEO?

GEO is worthwhile for any company whose buyers do their research before making a purchase. B2B offerings that require explanation benefit the most: In these cases, buyers ask a lot of questions, and whoever provides the answers becomes a go-to source. GEO is of little use in situations where purchases are made spontaneously and without research.