Generative Engine Optimization (GEO): How to Get Cited by ChatGPT, Google AI Overviews, Perplexity, Gemini, and Claude

Generative engine optimization (GEO) is the process of improving how often and how accurately your brand and content appear in answers generated by AI systems such as ChatGPT, Google AI Overviews and AI Mode, Gemini, Perplexity, Microsoft Copilot, and Claude. It is also called AI SEO, LLM optimization, or answer engine optimization (AEO). The goal shifts from ranking a link to becoming a source the AI quotes, summarizes, or recommends.

Why GEO matters now

Search behavior has changed quickly. Google launched AI Overviews in the US in May 2024 and has since expanded them to many countries and languages. OpenAI launched ChatGPT search in late 2024. Perplexity, Gemini, Copilot, and Claude all answer questions with cited web sources. For many informational and comparison queries, users now read a synthesized answer before, or instead of, clicking a result.

For a business, that creates two new questions. Are we mentioned when someone asks an AI for the best provider in our category? And is what the AI says about us accurate?

How AI search engines choose which sources to cite

Most AI search experiences use a process called retrieval-augmented generation (RAG). In simplified form:

1. The system interprets the user's question and often rewrites it into several search queries. Google describes a related "query fan-out" technique for AI Mode.
2. It retrieves candidate pages from a search index. Google uses its own index. ChatGPT search uses third-party search providers, including Bing, alongside its own crawler. Perplexity and others run their own crawlers and indexes.
3. It selects passages that directly answer parts of the question.
4. It writes an answer and attributes claims to the sources it used.

The practical implication is simple: if you are not indexed and ranking reasonably well in traditional search, you are unlikely to be cited by AI search. Google says in its guidance on AI features and your website that there are no additional requirements to appear in AI Overviews or AI Mode beyond standard SEO best practices. GEO is a layer on top of solid SEO, not a substitute.

What the research says works

The term "generative engine optimization" was popularized by a 2023 research paper from researchers at Princeton University, Georgia Tech, the Allen Institute for AI, and IIT Delhi, "GEO: Generative Engine Optimization", later presented at KDD 2024. The authors tested content changes against a generative engine and found that methods such as adding relevant statistics, including quotations from credible sources, and citing sources improved visibility in generated answers by up to around 40% in their benchmark. Keyword stuffing performed poorly.

The lesson matches what good editors already know: specific, well-sourced, quotable content gets used.

A step-by-step GEO strategy

Step 1: Get the technical foundation right

• Make sure AI crawlers can access your site. Check robots.txt for the user agents you want to allow, such as Googlebot, Bingbot, OAI-SearchBot and GPTBot (OpenAI), ClaudeBot and Claude-SearchBot (Anthropic), and PerplexityBot. Note that Google-Extended controls whether your content is used for Gemini model training and grounding. It does not control inclusion in Google Search or AI Overviews.
• Serve important content as HTML. Many AI crawlers do not execute JavaScript the way Googlebot does. Analysis published by Vercel and MERJ found that major AI crawlers such as OpenAI's and Anthropic's fetched JavaScript files but did not execute them. Use server-side rendering or static generation for key pages.
• Submit to Bing as well as Google. Register in Bing Webmaster Tools and consider IndexNow for fast updates, since Bing's index feeds several AI experiences.
• Keep pages fast and clean. Our technical SEO checklist covers crawlability, Core Web Vitals, and structured data.

Step 2: Write answer-first content

• Open each page and section with a direct, self-contained answer of about 40 to 60 words, then expand. AI systems extract passages, so each section should make sense on its own.
• Use question-style H2 and H3 headings that mirror how people ask, for example "How much does SEO cost?"
• Use lists, steps, and comparison tables for processes and options. They are easy to extract and summarize.
• Define terms explicitly: "X is..." sentences give models clean definitions to reuse.
• Cover the follow-up questions. AI answers fan out into related sub-questions. Comprehensive topic clusters, like this series on digital marketing and choosing an SEO agency, give the system more passages to draw from.

Step 3: Add evidence that makes you citable

• Original data such as surveys, benchmarks, and anonymized client results.
• Specific statistics with named, linked sources.
• Expert quotes and named authors with real credentials. See our E-E-A-T guide.
• Worked examples, calculations, and clear dates. Show when content was last updated.

Step 4: Strengthen your entity and brand signals

Language models learn about brands from the whole web, not just your site. To be recommended, your business needs to be clearly and consistently described in many places:

• Consistent name, description, and services on your site, Google Business Profile, LinkedIn, and directories.
• Organization, LocalBusiness, Article, and Person structured data using schema.org, with sameAs links to your official profiles. Our schema markup guide has examples.
• Mentions in industry publications, reviews on trusted platforms, comparison articles, podcasts, and community discussions.
• Clear About, team, and service pages that state who you are, where you operate, and what you specialize in.

Step 5: Consider an llms.txt file

llms.txt is a proposed standard, introduced in 2024, for a markdown file that summarizes a site's key content for language models. It is not an official requirement for any major AI search engine, and adoption is still uneven, but it is cheap to add and can help AI tools that do read it. Treat it as a supplement to good HTML, not a replacement.

Step 6: Measure AI visibility

• Referral traffic: in GA4, segment sessions from chatgpt.com, perplexity.ai, gemini.google.com, copilot.microsoft.com, and claude.ai.
• Prompt tracking: keep a list of 20 to 50 buyer questions, such as "best SEO company for B2B SaaS in India," and check monthly which brands each AI recommends and which sources it cites.
• Search Console: AI Overview and AI Mode impressions are reported within the normal Search performance data.
• Branded search growth is often the clearest downstream signal of AI visibility.

See our guide to measuring SEO and digital marketing ROI for a full KPI framework.

GEO vs. SEO: what is the difference?

Common GEO mistakes

• Blocking AI crawlers by accident through blanket robots.txt rules or firewall bot protection.
• Relying on client-side JavaScript for core content.
• Publishing mass AI-generated content. It adds nothing new for AI systems to cite and risks Google's scaled content abuse policy.
• Chasing "AI ranking hacks" such as hidden prompts in pages. These are manipulative and can be treated as spam.
• Ignoring off-site reputation. AI answers reflect what the wider web says about you.

How to structure a page that AI engines can quote

AI search systems extract short passages that answer a question completely. Pages that are easy to quote tend to share the same structure:

1. A question-style heading that matches how people ask, such as "How much does a penetration test cost?"
2. A direct answer in the first one or two sentences under that heading, written so it makes sense if read on its own.
3. Supporting detail that explains conditions, ranges, and exceptions.
4. Evidence: a statistic with its source, a worked example, or a quotation from a named expert.
5. A table or list when comparing options or describing steps, because structured formats are easier to extract accurately.

Avoid burying the answer after long introductions or relying on pronouns that only make sense in context, such as "this approach" or "the tool above". A sentence lifted out of the page should still be clear.

Before and after: rewriting a paragraph for GEO

Before: "There are a lot of things to think about when it comes to costs, and every business is different, so it really depends on what you need. Get in touch to find out more."

After: "A small business website typically costs between USD 3,000 and USD 15,000 to build, depending on the number of pages, custom features, and integrations. E-commerce and booking functionality usually add the most cost. Ongoing hosting and maintenance typically add a smaller monthly fee."

The second version names the subject, gives a concrete range, explains what drives it, and can be quoted without the surrounding text. It is also more useful to human readers, which is the real point of GEO.

Entity signals that help AI systems recognize your brand

AI engines need to understand who you are before they can recommend you. Strengthen your entity by keeping your organization name, description, address, and services consistent across your website, Google Business Profile, LinkedIn, industry directories, and press coverage. Add Organization structured data with sameAs links to your official profiles, as described in our schema markup guide. Publish author pages for the people behind your content, with their credentials and experience, which also supports the trust signals covered in our E-E-A-T guide.

Tracking AI visibility in practice

There is no single dashboard for AI search, so combine several methods:

• Prompt testing: keep a list of 20 to 50 questions your buyers ask and check monthly whether ChatGPT, Perplexity, Gemini, Copilot, and Google AI Overviews mention or cite you. Record the results in a spreadsheet so trends are visible.
• Referral traffic: in analytics, look for sessions from AI assistants and answer engines, and track conversions from them separately.
• Branded search: growth in searches for your brand name often follows increased visibility in AI answers.
• Self-reported attribution: add "How did you hear about us?" to forms; buyers increasingly answer "ChatGPT" or "AI search".

Connect these signals to pipeline using the approach in our guide to measuring SEO ROI.

A 90-day GEO plan

Month 1: fix crawling and indexing issues using the technical SEO checklist, confirm AI crawlers are not blocked unintentionally, and build your prompt-testing baseline.

Month 2: rewrite your ten most important service and comparison pages in answer-first format, add statistics, examples, and expert quotes, and implement Organization, Article, and FAQ structured data where appropriate.

Month 3: publish original data or expert commentary that others will reference, pursue mentions through the digital PR tactics that also earn links, and re-run your prompt tests to compare against the baseline.

GEO builds on the same foundations as a strong topic cluster content strategy: deep, well-organized coverage of the subjects your buyers care about.

Get your brand cited in AI search

Vertex Cyber Tech helps businesses become visible in both traditional search and AI-generated answers. We combine SEO and content strategy with AI and RAG engineering expertise, so we understand how retrieval systems actually choose sources. Book a free AI search visibility review.

Sources and further reading

• Aggarwal et al., "GEO: Generative Engine Optimization" (arXiv / KDD 2024)
• Google Search Central: AI features and your website
• Vercel: The rise of the AI crawler
• OpenAI: Overview of OpenAI crawlers
• The llms.txt proposal