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AI search can show your brand not just as a result to click, but as a source cited or summarized in an answer. GEO—generative engine optimization—is the developing practice of improving that visibility. It builds on SEO rather than replacing it, and there is no single GEO rulebook that applies to every AI search service.
What GEO means—and what changes from traditional SEO
Traditional SEO often tracks where a page ranks in a list of results and whether people click it. Generative engine optimization (GEO) focuses on whether a site or brand is surfaced in an AI-generated response, cited as a source, and represented accurately. A ranking position alone cannot show all of those things.
The term comes from research and industry practice; it is not a universal platform specification. AI search services can use different systems to retrieve information and generate responses, so visibility and reporting should be assessed separately for each platform.
SEO remains part of the picture. For Google’s AI Overviews and AI Mode, Google Search Central says that its SEO best practices still apply and that no additional requirements or special optimizations are necessary. That guidance is specific to Google Search features; it should not be treated as a description of every AI service. Google Search Central: AI features and your website
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What the GEO study found—and what it did not prove
Aggarwal and co-authors introduced GEO-bench, a benchmark containing 10,000 diverse queries, to evaluate how sources appear in generative-engine responses. In the settings they tested, the authors reported that GEO methods improved visibility by up to 40%, with effectiveness varying by domain. They also reported up to 37% improvement in their Perplexity evaluation. These are experimental results from the study—not a forecast or guaranteed lift for a particular brand, query, platform, or current production system. GEO: Generative Engine Optimization · KDD 2024 proceedings
The paper describes tactics including adding citations, quotations, and statistics as ways to improve measured source visibility in its evaluated settings. That supports making useful claims clear and verifiable; it does not establish that inserting these elements will make any given page appear in an AI answer.
How to improve your chances of appearing in Google AI Search
For AI Overviews and AI Mode, Google’s documented foundations are familiar SEO and publishing practices. A page must be indexed and eligible to appear in Google Search with a snippet to qualify as a supporting link, but meeting those conditions does not guarantee crawling, indexing, display, or citation. Google’s guidance is at AI features and your website.
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- Allow crawling. Make sure Google can access the page.
- Make pages discoverable. Use internal links so important content can be found.
- Publish helpful, accessible content. Keep important information available as text; use relevant images and video to support it where appropriate.
- Provide a good page experience. Google lists this among the foundations for its AI features.
- Keep structured data accurate. If you use structured data, it must match the content visible on the page.
Google says new machine-readable files, AI text files, and special schema.org markup are not required for AI Overviews or AI Mode. Its advice is about eligibility and best practices, not a promise that a page will appear.
Why AI answers and their links can differ
Google says its AI Overviews and AI Mode may use query fan-out: issuing related searches across topics and data sources as part of preparing a response. The two features may use different models and techniques, so their responses and links can differ. AI Overviews also appear only when Google’s systems determine they add value beyond classic Search, not for every query. This describes Google’s features, not a universal AI-search pipeline. Google Search Central’s explanation
Independent reader supportYour contribution helps us test, update, and keep practical guides available for everyone.How to measure AI-search visibility
There is no single cross-platform GEO metric established by the cited guidance. Choose measures that match your goal, define them clearly, and keep the context attached to each report. The following is a practical measurement framework, not an official Google standard.
- What counts: Separate conventional rankings and clicks from brand mentions, source citations, referral visits, and conversions. A mention is not necessarily a citation, and neither alone shows business impact.
- Where it is measured: Google says AI-feature appearances are included in overall Search traffic and reported in Search Console’s Performance report under Web search type. For other services, use platform-specific reporting only when it is available and verified; do not assume Google Search Console measures them.
- Which outcome matters: Decide whether you are trying to improve visibility, accurate descriptions of the brand, qualified visits, conversions, or time on site. Google says its observations show clicks from pages with AI Overviews are higher quality; treat that as Google’s observation, not an independent cross-platform benchmark.
- Whether comparisons are repeatable: Record the query set, platform, language, geography, date, and metric definition. Keep prompts and settings consistent when comparing results over time.
Google recommends using analytics to track conversions and time on site alongside Search Console reporting. For any platform, separate observed visibility from outcomes such as visits or conversions so a change in one is not mistaken for a change in the other. Google’s measurement guidance
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A practical starting point
- Start with your SEO foundations. Check that important pages can be crawled, are internally discoverable, and present their essential information in text.
- Make key claims easy to verify. Use clear, accurate explanations and supporting material that matches what the page says; do not add citations or statistics merely as a visibility trick.
- Choose a defined query set. Track the questions that matter to your audience, and record platform, language, geography, and date for each observation.
- Record what the answer does. Note whether your brand or page appears, whether it is cited, and whether the description is accurate. Track visits and conversions separately where measurement is available.
- Use platform-specific evidence. For Google, review Search Console’s Performance report with Web search selected and consult analytics for downstream outcomes. Do not generalize Google reporting or behavior to other services.
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