# What Is Generative Engine Optimization (GEO)?

> GEO is getting your business named and cited in answers from ChatGPT, Claude, Gemini and Perplexity. How it works, how it relates to AEO, how to measure it.

Published: 2026-10-21 · Updated: 2026-10-23
Source: https://www.itgrows.ai/business/blog/what-is-generative-engine-optimization
Publisher: ItGrows (https://www.itgrows.ai/business) — AI visibility for businesses

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Generative engine optimization (GEO) is the work of getting a business named, recommended or cited in the answers that AI assistants such as ChatGPT, Claude, Gemini and Perplexity write for their users. Instead of trying to rank a page in a list of ten links, you try to become one of the sources an assistant reads and one of the names it mentions when someone asks a question your buyers ask.

## Where does the term GEO come from?

The term comes from research, not marketing. A paper submitted on 16 November 2023 and later published at KDD 2024, [GEO: Generative Engine Optimization](https://arxiv.org/abs/2311.09735), described a new kind of search engine: one in which large language models gather and summarise information from multiple sources and answer the user's query directly, rather than returning ranked links. The authors proposed GEO as a framework for improving visibility inside those answers.

That is still the core idea. A classic results page shows links and lets the user choose. An assistant reads some pages, writes one answer, and perhaps names two or three businesses and cites a handful of sites. If you are not in that answer, the person asking never sees you.

It also changes what success looks like. In about two weeks of logs from three of our course websites (roughly 1.2 million requests in the two busiest logs), we counted human visitors arriving from AI assistants: Copilot sent 1; ChatGPT, Perplexity, Gemini, Claude, Meta AI and others sent 0. Assistants mostly answer in place rather than send a click. GEO is about being named in the answer itself, not about referral traffic.

## How is GEO different from answer engine optimization and AI SEO?

Mostly in the label. As [Wikipedia's entry on generative engine optimization](https://en.wikipedia.org/wiki/Generative_engine_optimization) notes, overlapping terms such as answer engine optimization (AEO), LLM optimization (LLMO) and AI SEO are used inconsistently across the industry, and there is no agreed single definition. Agencies and tool vendors tend to pick whichever term fits their positioning.

So when one provider offers you AEO and another offers GEO, do not compare the acronyms. Ask two questions: what will you actually change on my site and elsewhere, and how will you show me whether assistants name me more often than before?

The more useful distinction is between GEO and classic SEO. GEO builds on SEO, because assistants that search the web lean on search indexes. But SEO is not enough on its own. On 19 October 2026 we asked assistants for the exact titles of 18 articles, each older than three weeks, published on three client sites. ChatGPT found 1 of 18; Claude found 7 of 18. Google had indexed 29 of 30 articles on one of those sites. Being in Google's index did not mean an assistant could find the page. We cover the overlap in more detail in [GEO vs SEO: What Is the Difference and Do I Need Both?](https://www.itgrows.ai/business/blog/geo-vs-seo)

## How does GEO work in practice?

An assistant can know about you in two ways: from what it learned during training, and from what it fetches live while answering. Live search does not happen every time. In a test on 23 September 2026 with 20 German business questions, the model answered 10 without searching at all and cited nobody. Where it did search, it cited primary sources such as laws, ministries, the OECD and large accounting firms on 9 of 10. Firms were named only on 'who should I hire' or 'how do I choose' questions, and two runs of the same question named two different sets of firms.

That shapes the work into three parts.

### Let the crawlers in

AI crawlers are far more active than most owners assume. Across the full retained nginx logs of an edtech platform we work with (pickaclass.com), from 28 July to 11 August 2026, ClaudeBot made 19,272,125 requests, Meta-ExternalAgent 3,854,076, GPTBot 2,744,985, Applebot 2,655,555 and Amazonbot 1,170,268, against 52,292 from Googlebot.

None of that helps if your robots.txt, firewall or CDN turns them away. We learned this on our own site. A robots.txt rule meant to hide a single redirect page (/b) was written as a prefix, and because robots.txt rules match prefixes, from 11 August to 21 October 2026 it also closed /blog, /business and every article in our business blog to all crawlers. Bing Webmaster Tools listed our business page as 'discovered but not crawled', and Google had none of the business pages indexed. We changed the rule to /b$ on 21 October 2026. If you are unsure about your own setup, start with [Is My Website Blocking GPTBot, ClaudeBot and PerplexityBot?](https://www.itgrows.ai/business/blog/is-your-website-blocking-ai-crawlers)

### Publish answers to your buyers' questions on your own domain

Assistants cite pages that answer the question being asked. A site with complete markup (server rendering, Article, FAQPage and Organization JSON-LD, a sitemap) but only 75 URLs was still absent from answers on its own article's exact topic, while a site with about 190,000 crawlable URLs was crawled constantly. Markup helps machines read a page; it does not replace having many pages that answer real questions.

You can see this in live retrievals: agents such as ChatGPT-User, OAI-SearchBot and Perplexity-User fetch a page while an assistant is answering a real person. In the same fortnight, the edtech platform received 1,918 such fetches on content pages; a client blog of a few dozen articles received 56, spread across 24 different articles.

### Be present where choices get made

Assistants also cite third parties. For an orthopaedic practice in Bonn on 20 October 2026, the four assistants named the practice in 12 of 80 answers to 20 patient questions (Claude 5 of 20, Gemini 4, ChatGPT 2, Perplexity 1). The directory jameda.de was cited in 12 answers, and competing practices' own websites were the most cited sources. 'Who should I choose' questions named practices; questions about costs, risks and treatments named none. For your business, that means directories and comparison pages in your field matter, and so does your own site answering the selection questions buyers ask.

## How is GEO measured?

You measure GEO by asking assistants the questions your buyers ask, repeatedly, and counting how often you are named and which sites are cited. One-off checks mislead. A [critical survey of GEO research from 2023 to 2026](https://arxiv.org/pdf/2607.14035) found that commercial AI engines cite different ecosystems of sources, vary their citations across repeated runs of the same query, and sometimes attribute claims to pages that do not support them. Visibility has to be measured across several engines and over time, not as a single citation count.

We do it like this: every week the same buyer questions go to ChatGPT, Claude, Gemini and Perplexity, three times each. A business counts as named for a question if any of the three asks names it, and we compare weeks only on the same questions and the same number of asks. With API prices of October 2026, one question asked once with web search costs about $0.069 with Claude, $0.010 with ChatGPT, $0.009 with Gemini and $0.0013 with Perplexity, so a report of 20 questions x 4 assistants x 3 asks costs about $5.40.

| What to count | Why it matters | Common pitfall |
| --- | --- | --- |
| Answers that name you, per question, across repeated asks | Closest signal to a buyer hearing your name | Asking once and treating the result as final, when answers vary between runs |
| Sites cited in answers | Shows which sources assistants trust on your topic, including competitors and directories | Assuming a citation means the page supports the claim |
| Live retrieval fetches in server logs (ChatGPT-User, OAI-SearchBot, Perplexity-User) | Proves a page was read while answering a real person | Confusing them with training crawlers such as GPTBot or ClaudeBot |
| Crawler access and indexing (robots.txt, Bing, Google) | Pages crawlers cannot reach cannot be cited | Assuming a Google index entry means assistants can find the page |
| Leads and customers your buyers attribute to assistants | The outcome that pays for the work | Expecting it to show up as referral clicks in analytics |

Our own starting point was humbling. On 21 October 2026 we put 20 English and 20 German questions about getting a business into AI answers to all four assistants, three times each. ItGrows was named in 0 of 160 answers and none of our pages was cited; the full write-up is in [We Checked Our Own AI Visibility and Were Named in 0 of 160 Answers](https://www.itgrows.ai/business/blog/we-measured-our-own-ai-visibility). In that measurement, the most cited sources for GEO questions were the blogs of GEO agencies and tool vendors themselves, such as firstpagesage.com and llmpulse.ai in English and geoagentur.de in German.

Outcomes do happen, and clients report them in different shapes. As reported by the clients in October 2026: FreightSizer, a B2B SaaS for freight dimensioning, got 2 new B2B customers in one month, both from ChatGPT; MagiScan, an iOS 3D-scanning app, gets hundreds of installs a month from ChatGPT, Claude and Gemini; appslift, an app store optimisation service, gets 2 to 5 leads a month from AI assistants.

## What mistakes do businesses make with GEO?

- **Blocking crawlers by accident.** A single prefix rule in robots.txt or a default bot setting in a CDN can hide a whole site, as it hid ours for over two months.
- **Treating markup as the fix.** JSON-LD and llms.txt-style files are tidy housekeeping, but a small site with perfect markup can still be invisible.
- **Checking once.** The same question asked three times often names different businesses. One screenshot proves nothing either way.
- **Expecting traffic.** Assistants rarely send clicks. Track named answers and ask new customers how they found you.
- **Believing guarantees.** Nobody can guarantee that an assistant will name a business. Anyone who promises citations is promising something they do not control.

## What should you do first?

Start by finding out where you stand. The free check at [itgrows.ai](https://www.itgrows.ai/) generates five buyer questions from your homepage and shows in 25 to 40 seconds whether ChatGPT and Perplexity name you. Then check robots.txt, your CDN's bot settings and Bing Webmaster Tools for pages marked 'discovered but not crawled'.

Next, write down the 20 questions your buyers actually ask, especially the 'who should I choose' ones, and publish clear answers to them on your own domain. Measure the same questions every week across several assistants. If you would rather hand this off, ItGrows does the publishing, the crawler and indexing fixes and the weekly four-assistant measurement for $499 a month (plus a one-time $499 setup, free with 3 months or a year), with no promise of citations.

## Frequently Asked Questions

**Is GEO the same as SEO?**

No, but they overlap. GEO relies on pages being crawlable and indexed, which is SEO groundwork, but being indexed by Google does not mean an assistant will find or name you, as our 19 October 2026 title test showed.

**Can anyone guarantee that ChatGPT will recommend my business?**

No. Assistants decide what to cite, often vary between runs of the same question, and sometimes answer without searching at all. What you can do is remove technical barriers, publish answers to buyer questions and measure honestly over time.

**Does GEO bring visitors to my website?**

Rarely as clicks. In our logs, assistants sent almost no human visitors; they answer in place. The value shows up as being named in answers and in customers who say an assistant pointed them to you.

**How much does it cost to measure AI visibility?**

The raw cost is small. With API prices of October 2026, a report of 20 questions asked three times each across four assistants costs about $5.40; the real effort is choosing the right questions and comparing like with like every week.