Generative engine optimization (GEO) is the work of getting your brand named and cited in the answers that ChatGPT, Google's AI Overviews and AI Mode, Gemini, Copilot, Perplexity and other AI search engines give. It rests on SEO, because these engines retrieve live web pages before they answer, and adds two jobs SEO often skips: getting your brand described on independent sites, and testing what each engine actually says about you.
When an AI summary sits at the top of a search, fewer people click the links under it, so being named inside the answer starts to matter as much as ranking. In browsing data from 900 US adults in March 2025, Pew Research Center found that Google users clicked a traditional result link in 8% of visits with an AI summary, against 15% without one. A link inside the AI summary received a click in 1% of those visits.
Being named and being visited are different results, so track them apart: AI search attribution traces the visits and leads you can tie to AI answers, and the prompt test in step 5 shows whether engines name you.
What GEO means in SEO
What does GEO mean in SEO? It means improving your brand's chance of appearing in a generative answer while keeping the search foundations that help your pages get found first.
The term came from a 2023 paper by researchers at Princeton University and IIT Delhi, working with two independent researchers. The paper, published at KDD 2024, tested which page edits made a source more visible inside AI-generated answers.
Google's guidance on AI search puts the relationship plainly. It describes AEO, or answer engine optimization, and GEO as terms for improving visibility in AI search experiences. From Google's perspective, that work is still SEO because its generative features use the same core ranking and quality systems that retrieve pages from its Search index.
That doesn't make GEO a redundant label. Google, ChatGPT, Copilot, Perplexity and Claude don't all retrieve information in the same way. Your reporting also has to answer a different question. A ranking tells you where a page appears in search results. GEO asks whether an engine names your brand correctly, cites your site, recommends a competitor or repeats an outdated claim.
GEO vs SEO: what changes and what doesn't
SEO remains the base layer for GEO. If search engines can't crawl, index and understand your pages, AI search systems have less useful material to retrieve.
What doesn't change:
- Your pages need to be indexed and eligible to appear with a snippet before Google can show them in AI Overviews or AI Mode.
- Crawlability, internal linking, clear metadata and useful text still matter. Microsoft gives the same baseline advice for Copilot, which runs on Bing's search index.
- Your key information should live in readable page content, not only in an image, PDF, tab or expandable element.
- Structured data still belongs in an overall SEO program when it matches visible text, but Google says there's no special markup to add for its AI features.
What changes is the answer format. Google says its systems can use retrieval-augmented generation and query fan-out, meaning a model can run related searches and bring several relevant pages into one answer. Your page may therefore compete for a supporting citation, a product recommendation or a direct definition, not only a blue-link position.
Measurement changes too. Search Console's Generative AI performance report covers AI Overviews and AI Mode, while Bing Webmaster Tools' AI Performance report shows sampled citation activity in Copilot, Bing AI summaries and selected partner experiences. GA4 also has an AI Assistant channel for traffic from several AI assistants, while visits from Google AI Overviews and AI Mode remain in Organic Search.
Keep your SEO program. Then add engine-specific access checks, independent brand mentions and a repeatable test of the answers your buyers receive.
How AI search engines find the pages they cite
AI search engines don't share one crawler, one index or one visibility report. Check each engine separately, especially if your site sits behind a firewall or has a restrictive robots.txt file.
Google AI Overviews and AI Mode: Google retrieves pages from its Search index through its core ranking systems. Googlebot needs access, and your Search Console property must be included in the Search generative AI control. That setting is included by default. You can view impressions in Search Console's Generative AI performance report.
Gemini app: Gemini can ground answers using content from Google's Search index. Google-Extended controls whether Google can use content for Gemini training and grounding in Gemini Apps. It doesn't affect whether a page appears in Google Search.
ChatGPT: OAI-SearchBot controls whether your pages can appear in ChatGPT search answers. GPTBot is a separate choice for model training. ChatGPT can also use outside search providers, so crawler access is necessary but doesn't guarantee placement. For the engine-specific detail, read how to get mentioned by ChatGPT.
Microsoft Copilot: Copilot runs on Bing's search index. A citation in Bing's AI Performance report isn't a click, and the report is a sample, so use it as evidence of visibility rather than traffic.
Perplexity: PerplexityBot and Perplexity-User serve different jobs. PerplexityBot supports search results, while Perplexity-User handles user-triggered page requests and generally ignores robots.txt. If you use a web application firewall, allowlist the published Perplexity bot ranges.
Claude: Claude-SearchBot, Claude-User and ClaudeBot serve search indexing, user-directed access and training respectively. Blocking Claude-SearchBot can reduce visibility and accuracy in Claude search results.
A blocked crawler can remove you from one engine even when your Google rankings look healthy. Check access before you invest in content production or outreach.
What the research says works for GEO
Well-sourced pages do get quoted more, but editing your pages won't get you named if engines never find them.
The paper that introduced GEO built a benchmark of 10,000 queries and tested its page edits on a 1,000-query test set. Its main setup generated answers with GPT-3.5 using Google's top five search results, and the researchers repeated the test on 200 of those queries in Perplexity.
Citing sources, adding quotations and adding statistics raised a page's visibility by 30% to 40% on the paper's main measure, and by 15% to 30% on its second. Improving fluency and readability also raised visibility by 15% to 30%. Keyword stuffing didn't perform well.
Lower-ranked pages gained the most. In that paper, the Cite Sources approach increased visibility by 115.1% for the fifth-ranked source, while the average result for the first-ranked source fell by 30.3%. A lower-ranked page gains most when it gives the answer something worth using.
Sharma's December 2025 IIT Patna thesis, which wasn't peer reviewed, studied 112 new Product Hunt products across 2,240 queries. It found that a content-only GEO score didn't predict discovery. For Perplexity's web-search answers, links from other sites and a presence in Reddit discussions went with higher visibility instead.
Chen and colleagues at the University of Toronto reached a similar conclusion from a different angle in 2025. Their study found that web-enabled AI search favored independent, earned sources far more heavily than brand-owned and social content, unlike Google's more even mix.
On-page work helps a page get quoted once an engine finds it. Whether it gets found depends on search authority and on other sites describing you, so you need both.
How to do GEO in five steps
Run GEO as a monthly routine alongside your SEO work, not as a one-off content push. Start with access, then make your core facts easy to retrieve and verify.
Step 1: Let AI crawlers and search indexes reach your site
Check whether Googlebot, Bingbot, OAI-SearchBot, PerplexityBot and Claude-SearchBot can reach your pages. Review robots.txt, CDN rules and firewall settings. OpenAI and Perplexity both say crawler-rule changes can register within about a day.
In Search Console, confirm that the Search generative AI control is set to include your site. That control affects whether your content can appear in Google's generative features.
Keep search access separate from training choices. Blocking GPTBot or ClaudeBot doesn't remove you from ChatGPT or Claude search answers, but blocking Google-Extended also stops Gemini Apps from grounding answers on your pages, though it has no effect on Google Search. Blocking a search bot can create the visibility problem you meant to avoid.
Step 2: Publish pages that answer buying questions
Build pages around the questions that change a buyer's decision. For most brands, that means clear pages explaining what you are, who you suit, pricing, integrations, implementation, limits and alternatives.
Use specific claims that a reader can check. Microsoft advises brands to anchor claims in measurable facts rather than vague words such as “innovative” or “eco.” Where a figure, quotation or source improves accuracy, include it. The GEO paper suggests that this kind of specificity can also make a page more visible in an answer that already draws on it.
Put important answers in visible text. Don't bury them in tabs, PDFs or image-only graphics. Use structured data where it accurately reflects the page.
Avoid writing a separate page for every possible variation of an AI-generated query. Google says that doing this primarily to manipulate rankings or generative answers violates its scaled content abuse policy. One useful comparison page is better than ten thin variations of the same comparison.
Step 3: Keep your brand facts the same everywhere
Use the same name, category, positioning, pricing and product facts wherever your company controls the information. That includes your site, business profiles, merchant data, partner pages and listings.
Google specifically advises keeping Merchant Center and Business Profile information current. The larger principle applies even when those products aren't relevant to your business. An AI answer can't reliably repeat information that conflicts across your own sources.
Start with the facts a buyer is most likely to ask about: what you do, who you serve, where you operate, how the product works, what it costs and where its limits sit. Fixing those basics is less exciting than a new content campaign, but it prevents an engine from giving a nearly correct answer that sends a buyer elsewhere.
Step 4: Earn mentions on independent sites and in communities
Independent pages help establish that your brand is more than a claim on your own website. Focus on legitimate comparison pages, trade publications, partner and integration pages, and places where a useful explanation of your product belongs.
Don't buy, fake or manufacture mentions. Google says inauthentic mention-building is less helpful than it appears because its ranking systems focus on high-quality content and its spam systems block abuse.
Reddit can be part of this work when relevant conversations and communities genuinely fit your category. Reddit's role in AI answers has its own guide: Reddit AI search optimization.
Step 5: Test what each engine says about you
A prompt test gives you a clearer starting point than a single branded query. Write your test prompts the way buyers ask when they're choosing a category, comparing options or trying to fix a problem.
Use a fixed set of 20 to 30 prompts across three groups:
- Category prompts: Ask which products, providers or tools suit a clear category or audience. An invented example: “best payroll software for a 20-person agency.”
- Comparison prompts: Ask about alternatives, competitors and situations where one option fits better than another. An invented example: “Gusto alternatives for contractors.”
- Problem prompts: Ask how to solve a problem your product addresses, without naming your brand. An invented example: “how do I pay overseas freelancers without high fees?”
Run the prompts in each engine your buyers use. Use a signed-out or clean session where practical, run each prompt several times and log the same fields every time:
- Date, engine and whether the session was signed in.
- Exact prompt and prompt class.
- Whether the answer named your brand.
- Whether it cited your site.
- Which competitors it named.
- Which URLs it cited.
- Any incorrect claim, missing qualification or broken answer.
Report the share of runs that name your brand and the share that cite your site, separated by prompt class. Don't report a single “rank in ChatGPT.” SparkToro's study with Gumshoe, a company that sells AI visibility tracking, found that ChatGPT, Claude and Google's AI rarely returned the same brand list twice, across 2,961 runs of 12 prompts through the three tools.
Repeat the test monthly and change one major input at a time. Your prompt log shows whether engines name or cite you. Attribution shows how much of that visibility you can trace to visits and leads.
A 60-day GEO plan
A focused 60-day plan is enough to establish a baseline and learn where the real gap sits. Start with one use case rather than trying to repair every product page at once.
Weeks 1 and 2: Audit crawler and firewall access, verify your site in Search Console and Bing Webmaster Tools and open their AI reports, build your prompt set and run the first baseline test.
Weeks 3 and 4: Improve the core facts pages for one buying situation. Create or tighten one comparison page, one page that says who your product is best for and who it doesn't suit, and one implementation page.
Weeks 5 and 6: Find independent pages that appear to support competitor visibility. Pursue relevant inclusion requests, corrections, partner-page updates and useful community contributions.
Weeks 7 and 8: Run the same prompts again. If your brand is absent, sharpen category language and limits. If an engine cites you incorrectly, fix the source page. If it cites a competitor, inspect the part of their source that answers the prompt more directly.
Tick the work off against ReddiReach's free GEO checklist, with 35 steps from crawler access to measurement. Its crawler step names GPTBot and ClaudeBot, which are training crawlers, so check OAI-SearchBot and Claude-SearchBot from step 1 when you tick it.
GEO mistakes to avoid
Most GEO mistakes come from treating a new label as permission to abandon sound search work.
- Publishing pages for every fan-out query: Google warns against creating pages mainly to manipulate generative results.
- Rewriting every page in an “AI style”: Google says you don't need special writing styles or tiny content fragments for its AI features.
- Treating schema as a shortcut: Structured data can support SEO, but it isn't required for Google AI features.
- Buying or faking brand mentions: Independent coverage is valuable because it is independent. Manufactured mentions undermine the point.
- Blocking search bots while trying to block training: OAI-SearchBot and Claude-SearchBot affect search visibility, while GPTBot and ClaudeBot serve different purposes.
- Trusting a tool that claims access to Google's internal AI systems: Google says no third-party tool has that access.
When to hire help with GEO
Run GEO in-house when someone can own the monthly prompt test, core-page improvements and independent visibility work for a full quarter. Bring in help when those jobs have no clear owner, not because an agency promises a secret route into AI answers.
ReddiReach is a Reddit marketing and AI search optimization agency. Its GEO service includes:
- An AI visibility audit across ChatGPT, Perplexity, Gemini and Google AI.
- Answer-ready content.
- Schema and structured data.
- AI citation tracking.
The AI Search Optimization plan costs $5,000 a month and includes:
- 12 articles a month targeting high-intent queries.
- Technical SEO: schema, metadata and title optimization across all pages.
- AI visibility tracking across ChatGPT, Gemini, Perplexity, Google AI Mode and AI Overviews.
- Link building from high-authority, relevant sites.
- Weekly strategy and alignment calls.
Terms: three-month minimum, no setup fees, no refunds.
Ask any agency or tool to show the evidence behind its recommendations. Review GEO services if you need a team to own the work, then book a free call with your first prompt-test log in hand.
How we checked this
Last checked: October 24, 2026.
Sources: Google Search Central and Search Console documentation; OpenAI, Microsoft, Bing, Perplexity and Anthropic documentation; Pew Research Center; published studies with stated methods.
Frequently asked questions
Is SEO still relevant with AI search?
Yes. Google says SEO best practices remain relevant because its generative features use its core ranking and quality systems and retrieve pages from the Google Search index. Copilot also runs on Bing's index. SEO still determines whether your pages can be found, crawled and understood before an AI engine can consider citing them.
Is GEO the same as AEO?
Close enough. AEO means answer engine optimization, while GEO means generative engine optimization. Google describes both as terms for work that improves visibility in AI search experiences, and treats that work as SEO. Use the term your team understands, but keep the work grounded in crawlability, useful content, independent sources and measurement.
Do you need an llms.txt file for GEO?
No, not for Google Search. Google says it ignores llms.txt files, so they neither help nor harm visibility in its search results or generative AI features. The file remains a proposal that some sites publish for other tools, but OpenAI, Perplexity, Anthropic and Microsoft don't identify it as a source-selection signal in their crawler documentation.
How long does GEO take to work?
Expect months, not weeks: ReddiReach's own published expectation is 3 to 6 months before AI search engines start recommending a brand. Crawler changes are faster, registering within about a day for OpenAI and Perplexity. Use early prompt tests to establish a baseline, then judge progress across repeated monthly tests.
