The 2026 GEO guide: what is Generative Engine Optimization?

In short: Generative Engine Optimization (GEO) is the practice of getting your brand cited or recommended inside answers from AI systems such as ChatGPT, Gemini, Perplexity, Microsoft Copilot and Google AI Overviews. Where SEO aims for a high ranking, GEO aims for a mention in the answer itself. It builds on SEO and adds clear, citable content and outside validation.

What is Generative Engine Optimization (GEO)?

GEO is about being named and cited by AI search engines:

• Generative Engine Optimization (GEO), also known as Answer Engine Optimization (AEO) or LLM SEO, is the process of optimizing your content, brand, and authority to be cited, recommended, or used in the answers provided by AI search engines such as ChatGPT, Perplexity, Claude, Gemini, and Microsoft Copilot.

• The term comes from the research paper GEO: Generative Engine Optimization by Pranjal Aggarwal and colleagues, first published in November 2023. In their tests, GEO methods boosted content visibility in generative engine responses by up to 40%. The concept? Just as SEO exists to improve visibility in search engines, GEO is a similar branch, tailored to the AI tools people now use to search.

• The goal of SEO differs from that of GEO. Traditional SEO aims to appear high in Google’s results (blue links). In GEO, the goal is for AI to name you as an authority when answering a question, often without the user ever clicking on the actual URL.

An example? Someone asks ChatGPT, “What are the best growth marketing agencies in the Netherlands?” In traditional SEO, you’d want to be the #1 Google ranking for that search query. In GEO, you aim for ChatGPT to name your agency as one of the authorities, preferably with a cited link.

This guide is written by Sprints & Sneakers, a growth marketing agency in Amsterdam that runs GEO programs for B2B and B2C brands. Ready to plan your own? Our GEO strategy playbook walks through the first 90 days.

Why GEO matters now

We see five shifts in user behavior that make GEO hard to ignore in 2026.

1. Zero-click answers

People are clicking on pages less often. Google provides its own AI Overviews and answer boxes that answer questions immediately. ChatGPT and Perplexity provide answers in the form of a conversation. As a result, more search queries are answered without the user clicking through. The user gets the answer without ever visiting a website.

2. People are increasingly using AI for searches

ChatGPT, Gemini, Perplexity and Claude have become a normal starting point for questions that used to go to a search engine. Google has built AI answers into search itself with AI Overviews and AI Mode, and Microsoft has done the same with Copilot in Bing. For many people, the first answer they read now comes from an AI system.

3. B2B buyers behave differently

B2B buyers ask AI to recommend vendors, compare categories, and explain problems before they talk to sales. If you don’t appear in these AI responses, you miss part of the top of the funnel without seeing it in your analytics.

4. Traditional SEO traffic is under pressure

When Google answers a question directly, fewer people click through to a website, even if that website ranks well. SEO traffic isn’t dead, but search behavior is changing, and rankings alone no longer tell you whether people see your brand.

5. Authority in AI = authority in the market

When ChatGPT or Perplexity uses your brand as an answer to a question, this is a form of third-party endorsement. It’s a kind of PR, at scale. A brand that AI keeps recommending also becomes the brand people search for by name.

How AI search engines work (and why it’s important to understand this)

To excel at GEO, you need to understand how AI search engines retrieve, process, and cite content. The underlying technology is called RAG (Retrieval-Augmented Generation):

• Step 1: Query. When you ask an AI search engine a question, your query is interpreted using natural language understanding. “Best growth marketing agency in the Netherlands” isn’t treated merely as keywords, but as an intent to recommend vendors or options.

• Step 2: Retrieval. The AI searches the knowledge base (a combination of training data, real-time web scrapes, and/or search API integrations such as Bing Search) for relevant sources. This retrieval step is crucial: only content that is indexed and matches the query can be retrieved.

• Step 3: Synthesis. AI uses the sources to generate an answer. It often cites specific sources (as Perplexity explicitly does) or incorporates the insights into the answer without citation (as some versions of ChatGPT do).

• Step 4: Generation. The answer is formulated in natural language, usually with a mix of facts, citations, and, where possible, recommendations.

GEO focuses primarily on steps two and three: ensuring your content is retrieved when relevant and cited in the synthesis. This requires different skills than those required by traditional SEO.

7 practical GEO strategies for 2026

1. Write answer-first content

Start every article with a direct, quotable summary of the answer to the main question. AI search engines often pull the first one or two paragraphs as the primary source. Make sure this summary is a complete answer, without the reader having to scroll further.

2. Use a semantic structure

AI uses an H1/H2/H3 structure to understand the content. Clear question-and-answer structures (like the FAQ sections in our blog) are extremely useful. Think of each subheader as a standalone, quotable query.

3. Include statistics, data, and quotes

AI prefers verifiable, specific information. “Growth marketing improves ROI” is weak. A sentence with a specific figure, the name of the source and a link to it is quotable. Specific figures, percentages and source citations make your content easier to cite, as long as every number can be traced back to where it came from.

4. Get citations from external sources

AI search engines rely on external validation. If you’re cited by trade media, review platforms or relevant industry articles, you’re more likely to be included in AI answers. Traditional PR and online PR are part of GEO. Guest articles, podcasts, and quotes are examples of external sources that AI uses.

5. Create your own research reports

This is one of the most effective GEO strategies. AI values proprietary data because it can be cited accurately and nobody else has it. Annual benchmark reports, survey research, analyses of public data. Even one or two well-produced original research pieces per year contribute to your GEO visibility.

6. Optimize for Bing, not just for Google

Microsoft Copilot is built on Bing, and other AI tools also use search indexes beyond Google. If you rely solely on Google, you miss visibility that matters for GEO. Use Bing Webmaster Tools, check your Bing rankings, and submit new content through IndexNow.

7. Publish where AI already looks

AI models are trained on, and retrieve from, public content: websites, scientific papers, Wikipedia and well-known platforms. That makes it worth publishing expert content on platforms such as LinkedIn, Medium and Substack. A Wikipedia entry only makes sense if your brand meets Wikipedia’s notability rules, and it should never be written by the company itself.

For the page work at scale, an AI SEO agent can take over the repetitive optimization while your team focuses on research and authority.

Key AI search platforms to keep in mind

Google AI Overviews

These are AI summaries that appear right at the top of Google search results. Because Google is so dominant in search, these summaries have a significant impact. Websites that already rank well in Google have a better chance of being used in these summaries.

ChatGPT

ChatGPT is one of the largest AI platforms for search-like questions. OpenAI keeps adding search and shopping features, which makes it increasingly important for brands to be visible here.

Perplexity

Perplexity is an AI search engine that provides answers alongside live web sources. This means you can always see where the information comes from. Perplexity is also developing features for shopping, which makes it useful for product research and purchase planning.

Google Gemini

Gemini is Google’s own AI assistant and is built into Google products. It is used on desktop and mobile and can work with text, images, and speech. As a result, visual and well-structured content plays a greater role.

Claude & Copilot

Claude and Microsoft Copilot are widely used for summarizing and analyzing information. Claude excels at logically structured responses. Copilot is built into Microsoft and Bing, which means it directly influences search results and work tools such as Microsoft 365.

Each platform leans on different sources. Semrush’s AI Visibility Index 2026 found that citation overlap between any two AI platforms is below 50%, so being cited in one says little about the others. Don’t just optimize for Google, but also for the AI platforms where your target audience asks questions. Not every platform is equally important for every business. But if your target audience is there, you need to be visible there.

How do you measure GEO success?

Measuring results is more difficult than with traditional SEO, but not impossible. Here are the primary metrics:

Direct measurement

• Mentions and citations, separately. How often does AI name your brand, and how often does it link to your pages? These are two different metrics. Tools like Semrush AI Visibility, Profound, Otterly.ai, and AWR’s LLM tracking can help with this.
• Per platform. Measure ChatGPT, Google, Gemini, Perplexity and Copilot separately instead of as one score.
• Share of voice in AI responses. If your competitor wins 40% of the queries and you win 10%, you can clearly see your competitive position.
• Sentiment of mentions. Are you described in a positive, neutral, or negative way? Quality is just as important as quantity.

Indirect measurement

• Branded search lift. When AI answers mention you, more people may search directly for your brand name on Google.
• Direct and AI referral traffic. Visitors from AI tools often arrive without a clear referrer. Set up a separate channel group for AI assistants in your analytics, and expect part of this traffic to show up as direct.
• Deal-influence data. Ask your sales team to ask during demos: “How did you find us?” Add “AI assistant” as an option in your forms.

Qualitative measurement

• Manually test queries. Submit your top 10 relevant queries to ChatGPT, Perplexity, Gemini and Claude, and note how often you appear. Do this monthly.
• Competitor analysis. Track which competitors consistently appear for queries where you do not. Where have they built authority that you haven’t yet?