Generative engine optimization (GEO) is the work of getting your brand named, and your pages cited, in answers written by AI systems such as ChatGPT, Gemini, Claude, Perplexity and Google's AI Overviews and AI Mode. These engines run a few searches, read a handful of pages, and write one answer. GEO makes your pages the ones they read and your business one of the names they write.
Where the term "generative engine optimization" came from
The name was coined in GEO: Generative Engine Optimization, a paper by Pranjal Aggarwal, Vishvak Murahari, Tanmay Rajpurohit, Ashwin Kalyan, Karthik Narasimhan and Ameet Deshpande. It was posted to arXiv on November 16, 2023 and published at KDD 2024. The current version lists Princeton University and IIT Delhi among the authors' affiliations.
The authors built a benchmark of real user queries (GEO-bench), took the web pages a generative engine used to answer them, rewrote one page at a time using nine different methods, and measured how much of the final answer came from that page. Their main metric, position-adjusted word count, rewards a source that supplies more of the answer and appears earlier in it.
Here are their headline results (Table 1 of the paper). The percentage column is our own arithmetic against the unoptimized baseline.
| Method tested | Position-adjusted word count | Change vs. no optimization |
|---|---|---|
| No optimization (baseline) | 19.5 | 0% |
| Keyword stuffing | 17.8 | 9% worse |
| Unique words | 20.7 | +6% |
| Authoritative tone | 21.8 | +12% |
| Easy-to-understand wording | 22.2 | +14% |
| Technical terms | 23.1 | +18% |
| Cite sources | 24.9 | +28% |
| Fluency optimization | 25.1 | +29% |
| Statistics addition | 25.9 | +33% |
| Quotation addition | 27.8 | +43% |
Three findings matter for practitioners:
- Evidence beats vocabulary. Adding quotations, statistics and citations to credible sources did the most. Stuffing the target keyword did the least, and scored below doing nothing.
- Smaller sites gained more. For the source ranked fifth in search results, "cite sources" raised visibility by 115.1%, while the top-ranked source lost 30.3% with the same edit. A lower-ranked page with better evidence can win a bigger share of the answer.
- It varies by topic. The paper found that different methods worked best in different domains, so test on your own questions before rewriting your whole site.
Treat the numbers as directional. The experiments ran on 2023-era models in a controlled setup, with a follow-up check on Perplexity. Production engines have changed a lot since then. The principle has held up: engines prefer pages that hand them specific, quotable, sourced facts.
How generative engines choose which brands and pages to use
Every major engine follows the same broad pipeline, even though the details differ. Knowing the steps tells you where you can intervene.
1. The engine decides whether to search
A model can answer from what it learned in training, or it can search the web first. ChatGPT, for example, "may search the web automatically when your question would benefit from current information". Questions about local businesses, prices, products and anything recent usually trigger a search. Those are the questions most businesses care about.
2. It rewrites your question into several searches
The engine rarely searches the user's exact words. OpenAI says ChatGPT "typically rewrites your query into one or more targeted queries" that it sends to search providers, and may then send more specific follow-up queries. Google calls its version "query fan-out": AI Overviews and AI Mode issue multiple related searches across subtopics and data sources.
So the question "best med spa in Austin" might become searches like "top rated med spas Austin TX", "Austin med spa reviews" and "med spa Botox prices Austin". You need to show up for those sub-searches as well as the original phrase. (Those three are illustrations; you can see the real ones by testing, covered below.)
3. It pulls results from a search index
Each engine leans on an index:
| Engine | Where its web results come from |
|---|---|
| ChatGPT | Third-party search providers plus OpenAI's own crawler. OpenAI's help page points to Microsoft's and Shopify's privacy policies for its search partners, and uses OAI-SearchBot to surface sites. |
| Google AI Overviews and AI Mode | Google's own index. A page must be indexed and eligible for a snippet (Google). |
| Perplexity | Its own crawler, PerplexityBot, plus live page fetches. |
| Gemini | Grounding with Google Search: the model writes one or more Google searches and cites the results. |
If you are missing from the index an engine uses, nothing else in this guide can help you on that engine.
4. It reads a few pages and picks passages
From the results, the engine opens a small number of pages and extracts passages that answer the sub-questions. Pages that state the answer plainly, near the top, with specifics (names, prices, numbers, dates, locations) are easier to use. Pages that bury the answer under an intro, or hide it in images or scripts, are harder.
5. It writes the answer, names brands and cites sources
The final answer names a short list of businesses and links a few sources. A brand gets named when several of the pages the engine read agree that it belongs on the list. That is why third-party pages (review sites, "best of" lists, directories, forum threads, local news) matter as much as your own site.
The GEO levers, as a checklist
Work through these in order. The early items are cheap and blocking; the later ones take longer and compound.
| # | Lever | What to do | How to check |
|---|---|---|---|
| 1 | Crawl access | Allow Googlebot, Bingbot, OAI-SearchBot and PerplexityBot in robots.txt and at your CDN or firewall | AI crawler checker |
| 2 | Indexing | Make sure key pages are indexed in Google and Bing | Search Console and Bing Webmaster Tools |
| 3 | One page per question | Publish a page that answers each buying question directly, in the first paragraph | Read the page's first 100 words aloud. Do they answer the question? |
| 4 | Quotable specifics | Add prices, numbers, named methods, dates, credentials, short quotes from real people with names | Count the facts a model could lift verbatim |
| 5 | Cite your sources | Link the study, regulator or data source behind each claim | Every stat has a link |
| 6 | Structure | Clear H2s that mirror sub-questions, tables for comparisons, FAQs | Headings make sense out of context |
| 7 | Structured data | Organization, LocalBusiness, Product or FAQ markup that matches the visible text | Schema validator |
| 8 | Third-party presence | Get onto the review sites, lists and directories the engines cite for your questions | Look at the citations in real answers |
| 9 | Consistent entity facts | Same name, address, phone, services and prices on your site, Business Profile and listings | Search your brand name and compare |
| 10 | Freshness | Update the pages that answer money questions when facts change, and show the date | Visible "updated" date on the page |
A note on llms.txt: it is a proposed file that gives AI tools a map of your site. It is cheap to add (our llms.txt generator writes one), but Google states plainly that you don't need "AI text files" to appear in AI Overviews or AI Mode. Treat it as optional housekeeping. The llms.txt explainer covers the trade-offs.
A worked example: one question, start to finish
Say you run a dental practice in Denver and the question you care about is "best emergency dentist in Denver".
- Ask it. Put the question to ChatGPT (with search on), Gemini, Perplexity and Google. Do it three times each, on different days. Write down every practice named and every page cited.
- Sort the citations. You will usually see a mix: a few practice websites, one or two "best dentists in Denver" lists, a review platform, maybe a Reddit thread. Note which of those pages mention you.
- Find the gap. Suppose four competitors are named, each has a page about emergency appointments listing hours, same-day availability and prices, and two of them appear on a local "best emergency dentists" list. You have a generic services page.
- Fix your own page. Publish an "Emergency dentist in Denver" page that states, in the first paragraph, your same-day hours, what counts as an emergency, typical costs, insurance accepted and your address. Add a short FAQ with the questions patients actually ask.
- Fix the third-party gap. Ask the list publishers to consider you, make sure your Business Profile hours and categories are right, and ask recent emergency patients for reviews.
- Re-ask monthly. Track whether you start being named and which page gets cited.
That loop (ask, read the sources, close the gap, ask again) is GEO in practice.
How to measure generative engine optimization
AI answers vary from run to run and person to person, so measurement needs a method.
Build a fixed question set. 20 to 50 questions your buyers really ask, split by intent: "best X in [city]", "X vs Y", "how much does X cost", "is X worth it". Keep the wording fixed, so any change you see comes from the engines.
Ask on a schedule, across engines. Daily or weekly, in at least ChatGPT, Gemini and one more engine. Keep a dated record of each answer.
Record four numbers per question:
| Metric | What it tells you |
|---|---|
| Mention rate | Share of answers that name your brand |
| Citation rate | Share of answers that link one of your pages |
| Share of voice | Your mentions as a share of all brand mentions for the question set (explainer) |
| Position | Where in the answer you appear: first named, or fifth |
Watch traffic, with caveats. ChatGPT adds utm_source=chatgpt.com to referral links, so you can segment that traffic in analytics. Google counts AI Overviews and AI Mode clicks inside the normal Web search report in Search Console, and since August 31, 2026 Search Console has added insights showing which of your pages appear in generative AI features. Clicks will undercount your visibility, because many people read the answer and never click.
To see where you stand today without setting anything up, run the free AI visibility checker, or read our guide to LLM visibility.
GEO, SEO and AEO
You will see three acronyms used for overlapping ideas. SEO is ranking in classic search results. AEO (answer engine optimization) grew up around featured snippets and voice answers (AEO explained). GEO is the newest term and covers AI-written answers that cite several sources. In practice the work overlaps heavily. Our GEO vs SEO comparison breaks down where they differ and how a small team should split its time.
If your goal is a specific engine, start with the engine-specific guides: how to get recommended by ChatGPT and how to rank in Google AI Overviews.
Doing GEO with Rank.ai
Rank.ai runs this loop for you. It asks your customers' questions in ChatGPT, Claude and Gemini every day, through each engine's API with web search on, and records who each answer names and every page it cites. It shows the questions where competitors get named and you don't, then writes the articles that answer them and publishes them to your site. The free AI grade runs 12 of your customers' questions across those three engines and shows where you stand, with no account needed.
FAQ
What is generative engine optimization in simple terms?
Generative engine optimization means making your business easy for AI tools like ChatGPT and Google AI Overviews to find, trust and quote. When those tools answer a question, they search the web and read a few pages. GEO is the work of being on those pages and being named in the answer.
Is GEO replacing SEO?
No. Most AI engines retrieve pages from a search index before they answer, so strong SEO is still the entry ticket. GEO adds work on top: answering specific questions directly, adding quotable facts, and appearing on the third-party pages the engines read.
How long does GEO take to work?
Technical fixes such as unblocking a crawler can show up within days; OpenAI says robots.txt changes take about 24 hours to register. New pages need to be crawled and indexed first, which can take weeks. Judge progress over two to three months of repeated checks.
Does GEO work for local businesses?
Yes. ChatGPT uses an approximate location from the user's IP address for local questions, so a question like "best plumber near me" becomes a city-specific search. Local GEO adds Business Profile accuracy, reviews and local "best of" lists to the usual levers.
Can you guarantee being recommended by ChatGPT?
Nobody can. OpenAI itself says placement is not guaranteed. What you can control is whether the engines can read your pages, whether those pages answer the question better than the alternatives, and whether the sites the engines trust mention you.
What is the difference between GEO and AEO?
AEO (answer engine optimization) started with featured snippets and voice assistants, where one source supplies one answer. GEO covers AI answers that blend several sources and name several brands. The tactics overlap almost completely; see AEO vs SEO for how the older term relates to classic search.
