What Is GEO (Generative Engine Optimization)? How to Improve Visibility in AI Search

Traditional SEO asks how to get a website ranked for relevant search queries.

GEO introduces another question: When an AI system answers a customer's question, does your brand or content become part of that answer?

The distinction matters because visibility and traffic are no longer guaranteed to move together. Your content might be cited in an AI-generated response without generating a website visit. Conversely, your pages could rank well in traditional search while receiving little attention from AI-powered discovery experiences.

AI-powered search systems can retrieve information from external sources and use that information to generate answers. Different platforms use different retrieval, ranking, citation, and presentation mechanisms.

For example, Google AI Overviews and AI Mode build on Google's search infrastructure and can retrieve supporting information from its search index. ChatGPT and Perplexity may also use web search and retrieved content to support responses, depending on the product and query.

GEO focuses on making content useful within these discovery experiences. That includes ensuring information is accessible, clearly organized, accurate, and supported by relevant evidence.

However, no universal GEO ranking algorithm or reliable way to guarantee AI citations exists. AI-generated answers can change depending on the question, context, available sources, and underlying models.

SEO, GEO, and AEO overlap considerably.

Answer Engine Optimization (AEO) emphasizes direct answers and clear content structure.

Generative Engine Optimization (GEO) looks more broadly at how AI-powered systems retrieve, synthesize, and attribute information.

Traditional e-commerce SEO remains the foundation of both approaches.

Google's own guidance explicitly states that additional GEO-specific technical requirements aren't necessary for appearing in its AI search experiences.

That makes an important point: GEO isn't a replacement for SEO, and treating it as a completely separate discipline often creates unnecessary work.

Read more about how Google AI Overviews work and what they mean for search visibility.

Structured data helps search engines understand entities, properties, and relationships. For e-commerce, Schema.org markup can describe products, offers, prices, and availability. It can support eligibility for certain Google search features, but structured data alone does not guarantee inclusion in AI-generated answers.

Google does not require special AI-specific schema markup for AI Overviews or AI Mode.

For ecommerce, the broader opportunity is ensuring that product information is accessible through suitable channels, including structured web pages, product feeds, and APIs.

Our guide to machine-readable product data explains why these different representations matter.

Measuring GEO is more complicated than tracking keyword rankings. Traditional SEO metrics such as impressions, clicks, organic traffic, and conversions remain important.

For AI discovery, additional measurements may include:

• Brand mentions in answers to relevant questions.
• Citations and supporting links to your website.
• Referral traffic from AI assistants.
• Visibility across important commercial topics.
• Competitor representation in comparable answers.

Google also introduced dedicated Search Generative AI performance reporting in Search Console during 2026, giving website owners additional visibility into appearances within its generative search features.

AI answer monitoring requires care.

Results can vary by user, session, and model version. A brand appearing once in a generated response doesn't establish consistent visibility.

Track representative groups of queries over time rather than using individual screenshots as evidence of performance.

Start with pages that already answer commercially relevant questions. Improve their accuracy, structure, evidence, and internal linking.

Then identify where your business contributes something distinct: original research, practical experience, proprietary data, or product expertise. Measure how that content performs in both traditional search and AI-generated experiences.

For e-commerce, extend the same discipline to product information.

Structured, accurate product data creates the foundation for discoverability across search engines, AI assistants, marketplaces, and emerging shopping interfaces.

We intentionally didn't cover what helps content perform in AI search or what the biggest GEO mistakes are because we believe it belongs in a bigger, broader SEO and GEO tactics guide we're working on right now.

GEO isn't meant to convince AI systems to mention your brand. It's to make your information valuable enough that referencing it improves the answer.