What Is Generative Engine Optimization (GEO)? GEO vs SEO vs AEO

Three years ago a business owner asked "how do I rank on Google". Now the same person asks "why does ChatGPT recommend my competitor and not me". The second question has a discipline attached to it, and this article explains what it is, where it comes from, how it relates to the SEO you already do, and what changes when you start doing it.

What generative engine optimization is

GEO is the practice of increasing how often, and how favorably, a generative engine names or cites you when someone asks it a question in your category. A generative engine is any system that answers with synthesized text built from multiple sources: ChatGPT with search on, Perplexity, Gemini, Claude with web search, Google AI Overviews and AI Mode, Microsoft Copilot.

The unit of success is different from search. In SEO you win a position: your page is third for a keyword. In GEO you win a mention: when a buyer asks "which payroll service should a 12-person restaurant use", the answer names you, describes you accurately, and links to a page of yours as a source. There is no position three. There is named or not named, cited or not cited.

Because the answer is written from sources, GEO is not only about your site. It is about the whole set of pages the engine reads when it researches the question: your pages, review sites, directories, forum threads, news articles and competitor pages. Optimizing means making sure that set names you, consistently, with specifics an engine can quote.

Where the term comes from

The term was coined in an academic paper titled "GEO: Generative Engine Optimization" by Pranjal Aggarwal, Vishvak Murahari, Tanmay Rajpurohit, Ashwin Kalyan, Karthik Narasimhan and Ameet Deshpande, first posted to arXiv in November 2023 and accepted at KDD 2024. Marketers had been talking about "AI search" before that, but the paper gave the problem a name, a benchmark and a first set of measured results.

The authors built GEO-bench, a set of 10,000 queries drawn from nine datasets, each paired with the text of the top five Google results. They then applied nine different edits to a source page, fed the edited sources to a generative engine, and measured how much of the generated answer came from that source. Their main metric, Position-Adjusted Word Count, weights the words attributed to a source by how early they appear in the answer. A second metric, Subjective Impression, had a model rate relevance, influence and uniqueness.

Two caveats the paper itself makes. The effect varied by domain, so the authors argue for domain-specific tactics rather than one recipe. And the experiments ran on a controlled engine built for the benchmark, not on the ChatGPT you use today. Treat the results as a strong hint about what generative systems reward (concrete, quotable, sourced content) rather than a guarantee of 40 percent more mentions.

The finding that matters most for a business is the negative one. Keyword stuffing, the tactic that defined bad SEO for twenty years, was the only method that did nothing. A system that summarizes meaning does not count terms.

GEO vs SEO vs AEO

The three terms describe overlapping work with different targets: SEO targets a position in a list of links, AEO targets being the single direct answer to a question, and GEO targets being named and cited inside a synthesized answer. The table lays it out.

Google's view is worth quoting because it is the largest engine's official position: "From Google Search's perspective, optimizing for generative AI search is optimizing for the search experience, and thus still SEO." That is true for Google's own AI features, which run on Google Search. It is less true for ChatGPT and Perplexity, which do not run on Google Search and cite a different mix of sources. GEO is the name for the work that spans all of them.

What changes in practice

In practice GEO changes five things about how you work: what you write, where you need to appear, what you measure, how you handle crawlers, and how stable the results are. The fundamentals of SEO stay underneath all five.

From keywords to questions

A keyword is "payroll service restaurant". A question is "which payroll service should a 12-person restaurant with tipped staff use". Engines expand the question into several searches and read the results, so the page that wins is the one that answers the specific question with specifics: a price, a comparison, a situation. One page per question, answer first.

From your site to the whole source set

In SEO, backlinks were a vote that raised your page. In GEO, a mention on a review site or a Reddit thread is not a vote for your page; it is a source the engine may read and quote directly, sometimes instead of your page. That makes profiles on G2, Clutch, Yelp or Google Business Profile, and threads on forums, first-class content rather than off-page extras. The practical guide is in How to get recommended by ChatGPT.

From rank tracking to mention sampling

A rank is a number you read once. A mention is a probability you estimate by asking the same question several times, on each engine, in each market, and counting how often you are named. GEO reporting looks like "named in 6 of 10 runs on ChatGPT, 2 of 10 on Gemini, 0 on Perplexity, competitors X and Y named in 9 of 10". That last part, who gets named instead of you, is the number that tells you what to fix.

From one crawler to a dozen

Googlebot used to be the only bot that mattered. Now each engine runs separate crawlers for search and for training, with separate names in robots.txt, and blocking the wrong one removes you from an engine entirely. Many sites block them by accident through a CDN toggle or a security plugin. We list every crawler and the lines that matter in llms.txt and AI crawlers.

From a slow, stable score to a noisy one

Rankings drift over weeks. Generated answers vary run to run, and a model update can change the names overnight. This is not a reason to ignore the measurement; it is a reason to measure repeatedly and to look at trends over months, not at a single screenshot.

What stays the same

Everything that made a page worth ranking still makes it worth citing: it has to be crawlable, fast, written for a person, and specific. Google's guidance for its AI features says there are "no additional requirements" beyond good SEO and no special schema to add. The engines are reading the same web. GEO does not replace the technical basics; it changes what you write on top of them and how you check whether it worked.

What GEO looks like for a small business

For a small business, GEO is a monthly loop: ask, fix, write, repeat. It fits in a few hours a month once the first audit is done.

1. Ask. Take the five to ten questions a buyer asks before choosing someone like you. Ask them on ChatGPT, Gemini, Perplexity and Claude without your brand name. Record who is named and which sources are cited.
2. Check access. Confirm robots.txt, CDN and plugins are not blocking the search crawlers.
3. Fix the profiles. Claim and complete the third-party pages the engines cited. Same name, category and location everywhere. Collect reviews with specifics.
4. Write answer pages. One per question, answer in the first two sentences, real numbers, a quote, a date, structured data.
5. Get on the lists. Ask the authors of the cited listicles to include you. Answer forum threads in your field.
6. Repeat monthly. Re-run the questions, compare the mention share per engine, and pick the next question to work on.

How to measure GEO

The core GEO metric is mention rate: the share of runs in which an engine names you for a given question, tracked per engine and per market over time. Around it sit four supporting numbers.

• Engine coverage. In how many of the engines you care about you are named at all. A business is often present in two of four.
• Competitor share. Who is named instead of you, and how often. This is the shortest path to knowing which sources to target.
• Citation rate. How often a page of yours is linked as a source, as opposed to being named from memory or from a third-party page.
• Referral traffic. Sessions from chatgpt.com, perplexity.ai, gemini.google.com and claude.ai in your analytics. Small today for most businesses, but it is the number that turns mentions into revenue.

You can collect all of this by hand for a handful of questions. Past that, tools exist at very different price points; we compare eight of them, including our own, in AI visibility tools compared.