GEO (Generative Engine Optimization) is the work of getting your content and brand cited and recommended in the answers produced by AI-powered search systems such as ChatGPT, Google AI Overviews and AI Mode, Gemini, Perplexity and Copilot. Where SEO aims to rank high on the search results page, GEO aims to be included in the answer the AI gives the user. GEO doesn't replace SEO; it builds on a solid SEO foundation and adds four new layers: AI crawlers being able to access the site, content being easy for machines to understand, the brand being mentioned on trustworthy sources, and compatibility with AI agents.
In this guide we explain in detail what GEO is, how AI search systems choose sources, how it differs from SEO and the steps e-commerce brands can take.
Where did the concept of GEO come from?
The term "Generative Engine Optimization" became widespread through an academic study published in November 2023 by researchers from Princeton University and Georgia Tech. The researchers showed that methods such as citing sources, adding statistics and including expert quotes could measurably increase content's visibility in AI answers. (the study itself)
Since then, AI-powered search has spread rapidly: Google launched AI Overviews in May 2024 and AI Mode in 2025; ChatGPT's search feature opened to all users in early 2025; and answer engines such as Perplexity and Copilot have become regular tools for product research.
How do AI search systems choose sources?
Most AI-powered search systems follow these steps when answering a question:
They understand the question and break it into sub-questions. A question such as "Can you recommend a Shopify agency in Turkey?" can turn into sub-searches such as "Shopify agencies", "Turkey", "experience" and "references".
They gather sources from the web or their own index. Google's systems use their own search index; systems such as ChatGPT and Perplexity use their own crawlers and their search partners' results.
They assess the sources. Relevance to the question, the clarity and freshness of the content, and the trustworthiness of the source are decisive.
They synthesise the answer and cite sources. The answer is compiled from multiple sources; the pages used are usually listed as links.
The practical result: a site that AI systems can't crawl, can't understand the structure of, or don't find trustworthy won't appear in answers.
Differences between GEO and SEO
Topic | SEO | GEO |
|---|---|---|
Goal | High rankings on the search results page | Being a source or recommendation in the AI answer |
Measure of success | Rankings, clicks, organic traffic | Citations, brand mentions, AI-driven traffic |
Content approach | Keywords and search intent | Direct answers to questions, clear structure, verifiable information |
Technical focus | Crawlability, speed, indexing | Plus AI crawler access, structured data, agent compatibility |
Authority signal | Backlinks | Plus brand mentions and third-party sources |
The two disciplines largely overlap: because Google's AI features use its own search index, good SEO is the foundation of GEO.
The five core components of GEO
1. Technical foundation and crawlability
Allow AI crawlers. Make sure crawlers such as GPTBot, OAI-SearchBot, ClaudeBot and PerplexityBot aren't blocked in your robots.txt file. Blocking search-focused crawlers directly prevents you appearing in answers.
Serve content in HTML. Don't bury important information only in components loaded with JavaScript; some crawlers don't fully process JavaScript.
Keep your sitemap and indexing in order. Monitor indexing issues in Google Search Console and Bing Webmaster Tools. The Bing index feeds the source pool of many AI assistants.
Improve speed and Core Web Vitals. Details in our Core Web Vitals guide.
2. Structured data and entity clarity
AI systems represent your brand more accurately when they can recognise it as an "entity".
Organization and LocalBusiness schema: brand name, logo, address, contact details and social accounts via sameAs.
Product schema: price, availability, brand, GTIN and review information.
Article and FAQ markup: author, date and question-answer structure in guide content.
Consistent brand information: the same name, address and phone number across your website, Google Business Profile, social accounts and directories.
3. Content structure for AI
Answer first. Answer the main question clearly in the first paragraph of every piece of content, then give the details.
Use structured formats. Clear headings, bullets, tables and short paragraphs make it easier for content to be quoted in sections.
Add verifiable information. Sentences with dates, figures, sources and concrete examples are quoted more often.
Show first-hand experience. Your own data, customer examples and expert views set your content apart from other sources. We cover this in our E-E-A-T article.
Keep content up to date. Regularly update pages containing prices, dates and platform information.
Build topic clusters. A main guide and detailed supporting articles help your site be seen as an authority on that topic.
4. Brand mentions and reputation
AI systems look not only at your site but at what others say about you.
Editorial mentions: your brand appearing in industry publications, news sites and blogs.
Review platforms: genuine customer reviews on Google and industry-specific review sites.
Communities: your brand being mentioned naturally on forums such as Reddit. We explain this in our Reddit marketing article.
Comparison and list content: appearing in third-party "best ..." lists increases visibility for recommendation questions.
5. Compatibility with AI agents
AI is increasingly becoming agents that not only answer but act on the user's behalf.
llms.txt: a guide file that gives AI a summary of your site. It has no guaranteed effect but is a low-cost preparation step. Details in our llms.txt article.
Agent-friendly pages: product, price, stock, shipping and returns information that is clear and machine-readable.
Accessibility: meaningful HTML structure and correctly labelled buttons make it easier for agents to use the site.
GEO for e-commerce brands
Product research is one of the most common uses of AI assistants. For questions such as "Which waterproof headphones under 1,000 TL are best?", AI draws on product pages, reviews and comparison content.
Key steps for e-commerce sites:
Keep product data complete: title, description, specifications, price and stock information must be clear both on the page and in structured data.
Produce comparison and guide content: "X or Y?" and "how to choose" content is used as a source for recommendation questions.
Make reviews visible: genuine customer reviews are both a trust signal and a source of information.
Follow Shopify's agent features: Shopify is developing features to help AI assistants and agents discover products in stores. We cover these developments in our Shopify Winter '26 article.
How do you measure GEO success?
AI-driven traffic: in Google Analytics 4, track sessions from sources such as chatgpt.com, perplexity.ai, gemini.google.com and copilot.microsoft.com as a separate channel group.
Citation tracking: regularly check how often your brand appears in AI answers for target questions and which of your pages are cited. Dedicated tools can also be used for this.
Brand searches: an increase in searches for your brand name in Search Console is an indirect indicator of AI visibility.
AI Overviews visibility: track whether AI Overviews appear for important keywords and whether your site is cited as a source.
Common GEO mistakes
Unknowingly blocking AI crawlers. Some security settings and CDN rules block unknown bots, shutting out AI crawlers too.
Relying only on llms.txt. A single file doesn't make up for a lack of content and authority.
Mass-producing content with AI. Low-quality, similar content falls foul of Google's spam policies and isn't chosen as a source in AI answers.
Moving forward without measuring. You can't evaluate the impact of work done without knowing which questions you appear for.
Frequently asked questions
Will GEO replace SEO?
No. Because Google's AI features use its own search index, good SEO is the foundation of GEO. GEO adds layers specific to AI systems on top of SEO.
How long does it take to see GEO results?
Technical fixes (crawler access, structured data) can show results within a few weeks. Areas such as brand mentions and authority require months of consistent work.
Is GEO necessary for a small e-commerce site?
Given that product research is increasingly done with AI assistants, basic GEO steps (crawler access, product structured data, clear product information) benefit stores of every size.
Which AI crawlers should I allow for GEO?
Allowing search and answer crawlers (such as OAI-SearchBot, PerplexityBot and ChatGPT-User) is important for visibility. Whether to allow crawlers used for model training is a separate decision and can be managed separately in robots.txt.
Let's plan your brand's AI visibility together
AI-powered search is rapidly changing how users research products and services. If you'd like to plan SEO and GEO work together so your brand is visible both on Google and in AI assistants, get in touch through our SEO and GEO consulting page.
