What Is GEO? Getting Cited in ChatGPT, Gemini and AI Overviews — Evidence, Tactics and Measurement

What is GEO? (Short answer)

GEO (Generative Engine Optimization) is the set of content and technical work that gets a brand or page cited as a source, mentioned in the right context, and clicked from AI-powered answer engines: ChatGPT search, Google AI Overviews and AI Mode, Gemini, Perplexity, Microsoft Copilot and Claude.

SEO aims for higher positions among the blue links; GEO aims for the system that writes one synthesised answer to use — and show — your page while writing it. The unit of success is not ranking but citation and mention.

The term spread through 'GEO: Generative Engine Optimization', published in 2023 by researchers from Princeton, Georgia Tech, the Allen Institute for AI and IIT Delhi and presented at KDD 2024. Note: in marketing, 'geo' also means geographic targeting; this article covers the AI-search meaning.

How is GEO different from SEO and AEO?

The three are nested layers, not rivals. Google's 2026 AI search guidance also frames AEO and GEO as part of SEO rather than a separate discipline. The difference is clearest when you look at what each targets and how it is measured.

The practical consequence: GEO never starts without an SEO foundation. A page that isn't indexed, loads slowly or only renders its text after JavaScript runs will be cited neither in the blue links nor in AI answers.

• SEO: rankings and clicks in search. Measured by impressions, average position and clicks (Search Console)
• AEO (Answer Engine Optimization): being chosen as the single answer in featured snippets, People Also Ask and voice assistants. Measured by snippet ownership
• GEO: being cited and correctly mentioned in generative AI answers. Measured by citation rate, citation share and AI-assistant traffic
• Shared base: crawlable, indexed pages; answer-first structure; original information; credible author and brand signals

How do AI answer engines choose their sources?

Most AI search products don't answer from model memory; they assemble the answer from searches run at that moment. They split the question into sub-questions, search for each, pull passages from the pages they find and synthesise them with source links. Google calls this 'query fan-out' and says it lets AI Overviews and AI Mode show a wider set of supporting links than classic search.

Two consequences follow. First, the source pool is largely the search index, so being indexed and ranking well is a precondition for AI visibility. Second, the unit that gets selected is the passage, not the page: a paragraph that makes sense on its own and answers clearly is far easier to cite than information buried in a long introduction.

• Google AI Overviews / AI Mode: Google's index; no extra requirements beyond being indexed and snippet-eligible
• ChatGPT search: OpenAI's OAI-SearchBot crawler; sites that block it don't appear in ChatGPT search answers (GPTBot is for model training and is controlled separately)
• Microsoft Copilot and Bing AI summaries: Bing's index; the AI Performance report in Bing Webmaster Tools (public preview since February 2026) shows citation counts
• Perplexity and Claude: their own search crawlers (PerplexityBot, Claude-SearchBot); see the bot table in the llms.txt article for robots.txt settings

What's proven in GEO — and what isn't?

GEO has plenty of claims and little evidence. When deciding, it helps to sort sources into three tiers: the platform's own official documentation, controlled research, and untested field claims.

Know the limits of the Princeton paper too: most experiments ran in a test environment the researchers built, using a language model of that time, and the authors stress that effectiveness varies by domain. 'Add quotes and gain 40%' is not a guarantee, but the direction — keyword stuffing doesn't work, sourced and specific content does — is consistent across the research and the platform guidance.

• Official (Google): no additional technical requirements, new machine-readable files, 'AI text files' or special schema.org markup for AI Overviews and AI Mode; nosnippet, data-nosnippet, max-snippet and noindex limit what is shown
• Official (OpenAI): ChatGPT search visibility is governed by OAI-SearchBot; blocking GPTBot does not affect it
• Research (Aggarwal et al., KDD 2024): adding quotations, statistics and source citations were the most effective methods — up to 40% higher visibility, and up to 37% on a real product (Perplexity); keyword stuffing scored below the baseline
• Not proven: that llms.txt increases AI citations (large log studies saw no effect), that FAQ/schema markup alone earns citations, or that 'AI-only' versions of content help

How to do GEO: 8 page-level actions

The list is ordered by priority: access and indexing first, then content format, then off-site signals. Without the first three, the rest is wasted effort.

• 1. Access: check that robots.txt, your firewall and bot protection don't block Googlebot, Bingbot or AI search bots (OAI-SearchBot, PerplexityBot, Claude-SearchBot)
• 2. Indexing: make sure key pages are indexed in Google and Bing; clear the 'Discovered – currently not indexed' list in Search Console and submit your sitemap to Bing Webmaster Tools
• 3. Content in HTML: text should be in the page source without JavaScript (server-side or static rendering)
• 4. Answer first: the first sentence under each question-style heading answers the heading on its own; put definition + formula + number in the same paragraph
• 5. Original information: your own worked examples, data, experience and screenshots; repeating the definition everyone else wrote earns no citations
• 6. Sourced claims: tie statistics and claims to a primary source (official documentation, research) with a date; never use unsourced numbers
• 7. Freshness and authorship: visible published/updated dates, a real author page and Person/Organization structured data
• 8. Off-site mentions: your brand discussed alongside the topic in industry publications, communities and lists; AI answers look not only at your site but at what others write about you

How to write a citable paragraph: before / after

AI answers lift one passage from your page, and that passage must stay correct and complete out of context. The most common failures are hiding the answer in the third paragraph of an intro and relying on phrases like 'this' or 'as mentioned above'.

Before: 'There are many metrics in advertising and ROAS is one of the most important. So what is it for? Let's take a look together.' This paragraph answers nothing.

After: 'ROAS (return on ad spend) is revenue from advertising divided by ad spend: ROAS = Ad revenue / Ad spend. A campaign that spends $1,000 and drives $4,000 in sales has a ROAS of 4.' Definition, formula and a number in one passage — complete even when quoted alone.

Why non-English markets are a GEO opportunity

When an AI engine answers in a local language and finds no strong local-language source, it translates and uses English ones. In this site's visibility check on 23 October 2026, Turkish searches for marketing questions such as 'what is NRR' and 'how to fix GA4 unassigned traffic' returned only English sources at the top.

That gap creates two openings. First, becoming the first thorough local-language source on niche but valuable questions means competing with few rivals both in classic rankings and in AI citations. Second, market-specific information — local-currency examples, local marketplace and shipping rules, local ad-cost data — can't be produced by translation, so AI engines have to cite you for it.

To build your own list: search the 20 questions your customers ask in their language; if most of the top 10 results are English, outdated or formula-free, that question is a GEO priority.

How do you measure GEO? The citation-rate formula

AI answers change from query to query, so a single try is not a measurement. Build a fixed question panel, ask each question in several engines and several times, and repeat the same method every month.

Example panel: 20 target questions × 3 engines (ChatGPT search, Gemini, Perplexity) × 2 runs = 120 answers. Your site was cited with a link in 9 answers and mentioned without a link in 6. Citation rate = 9 / 120 = 7.5%; visibility rate (cited + mentioned) = 15 / 120 = 12.5%. If two competitors were cited in 30 and 21 answers on the same panel, your citation share is 9 / (9 + 30 + 21) = 15%.

Read panel results alongside traffic. If the citation rate rises while sessions from AI assistants — and their conversions — rise too, the work is paying off.

• Citation rate = Answers citing your site with a link / Total answers
• Visibility rate = (Cited + mentioned without link) / Total answers
• Citation share = Your citations / (Your + tracked competitors' citations)
• Accuracy check: when your brand is mentioned, is the information right (pricing, services, founder)? If not, find the source and fix that page
• Bing Webmaster Tools › AI Performance: citation counts and cited pages in Copilot and Bing AI summaries

How do you separate ChatGPT and AI-assistant traffic in GA4?

Visits from ChatGPT, Perplexity, Gemini, Copilot and Claude usually land in GA4's 'Referral' channel with sources such as chatgpt.com or perplexity.ai. To see them as one group, go to Admin › Data display › Channel groups, copy the default group and add a new channel called 'AI assistants' with the condition Source matches regex.

Example expression: ^(chatgpt\.com|chat\.openai\.com|(www\.)?perplexity\.ai|gemini\.google\.com|copilot\.microsoft\.com|claude\.ai)$. The ^ and $ anchors match only these domains. Move the channel above 'Referral' — GA4 applies rules in order and the first match wins. Update the list as new AI products launch.

Two limits remain. Google AI Overviews and AI Mode clicks arrive as Google organic traffic and are reported inside the 'Web' search type in Search Console, without a separate breakdown. Some mobile apps don't pass a referrer, so those visits may appear as 'Direct'. Using UTM parameters on links you share yourself reduces that loss.

A 30-day GEO action plan

A realistic starting plan for a small team or a solo business is below. Each week builds on the previous one; at day 30 you repeat the first measurement and compare.

• Week 1 — Baseline: write the 20-question panel, ask each question twice in 3 engines and record the starting citation rate; check robots.txt and bot protection; set up the AI-assistants channel in GA4
• Week 2 — Indexing: confirm that pages answering the panel questions are indexed in Google and Bing; request indexing for any that are missing
• Week 3 — Content: rewrite the opening paragraph of 5 uncited pages in answer-first form; add your own worked example and a primary-source link to each
• Week 4 — Off-site and measurement: pitch an expert comment or guest post to one industry publication; rerun the panel with the same method and compare the ratios