People no longer ask their questions only in the search box; they ask AI Overviews, AI Mode and ChatGPT. GEO (Generative Engine Optimization) is the discipline of increasing how often your brand is shown as a source in these generative answer surfaces — in other words, earning citations. This guide is based not on marketing myths but on Google's official guidance and our own field measurements.
What is GEO, and how is it different from SEO?
GEO is the set of work that helps large language models find and understand your content and cite it when they generate answers. The good news: Google says it plainly in its official AI optimization guide — AI surfaces are built on top of the standard search infrastructure; there's no separate “AI SEO”. Technical health, original content and strong brand signals pay off in both worlds.
The difference shows up in measurement and content strategy:
- Classic SEO measures rankings and clicks; GEO measures share of voice in citations and how the brand is described inside the answer.
- A results page has 10 blue links; an AI answer usually has 2–5 citations — fewer winners, and a bigger gap between them.
- Queries whose answer is given inside the response, such as scores or fixtures, don't bring clicks; queries that need depth and expertise do. Build your strategy around that.
1. Measure first: know your share of citations
Pick representative search intents in your industry (100–400 queries) and track them regularly on AI surfaces: which queries cite your brand, where competitors pull ahead, and what types of pages earn citations? In our field audits, a typical starting point shows AI citation share in the 2–4% range even for strong brands — so there's a lot of room to grow.
2. Make your brand entity clear
When LLMs describe your brand, they piece together your scattered footprint on the web. If you don't shape that story, third-party review sites will. What to do:
- Publish a comprehensive “About” page and link it from the footer: what the brand is, what it offers, its mission, key people, history and ownership. This is the page LLMs quote most often for brand queries.
- Use a single, consistent logo across all social profiles, app stores and directories, so the model has only one image to choose from.
- Complete your Organization schema (logo, sameAs, founder, contact) and keep your records in open data sources such as Wikidata up to date.
- Monitor criticism of your brand; LLMs summarize criticism too. Decide on your response strategy in advance.
3. Create quotable content
AI answer engines choose as sources the content that answers a clear question clearly, backs up its claims and shows expertise:
- One clear topic per page; ask the question in the heading, answer it in the first paragraph, then go into detail.
- Use semantic HTML:
article,section, a correct heading hierarchy andtimetags. AI agents read the DOM; “div soup” doesn't get read. - Share original data, experience and case studies — information the model can't find anywhere else is a reason to cite you.
- Show a visible author identity and date; don't fake freshness artificially.
- Focus on deep queries that bring clicks rather than queries fully answered inside the response: guides, comparisons, “how-to” content and evergreen topics.
4. Guarantee technical access
- Manage AI crawlers (Google-Extended, GPTBot, etc.) deliberately: if you want visibility, don't block them; use log analysis to identify worthless bots that only add server load, and block those one by one.
- Keep your pages fast and navigable: AI agents get stuck on slow pages and on links that open new tabs; open internal links in the same tab.
- Don't lock content inside JavaScript; critical content should be in the server-rendered HTML.
- “AI-only files” such as
llms.txtare a myth as a requirement; Google officially says they aren't needed. Spend your energy on the fundamentals.
You can check AI bot access, snippet permissions and E-E-A-T signals for any page with our On-Page SEO Checker.
5. What not to do
Google's guide explicitly rejects some popular “GEO tactics”:
- Chunking or rewriting content so AI can “read it more easily”,
- Manufacturing artificial brand mentions across the web,
- Mass-producing low-value content that targets query variations — this violates the spam policies.
Frequently asked questions
Do I need a separate agency for GEO?
No — but your SEO partner needs to be able to measure AI surfaces. Citation share tracking, brand entity management and quotable content architecture should now be part of the standard scope of SEO.
How important is AI traffic?
Today, AI-referred sessions are a small percentage of total traffic on most sites. But where brand questions get answered is changing fast: people first meet you in an AI answer. Every answer you're missing from is an introduction your competitor wins.
Is structured data required for GEO?
It isn't required, but it's a strong clarity signal: it describes your entities (brand, author, content) in a machine-readable way. Google states that it doesn't require any special schema for AI features and that standard structured data is enough.