The 30-second version
GEO, AEO, AI SEO, LLMO and “AI search optimization” all describe the same goal: getting your business named or cited when an AI system writes an answer instead of showing a list of links. GEO (generative engine optimization) is the term agencies and researchers use. AEO (answer engine optimization) is the older name from the featured-snippet and voice-search era. AI SEO is what most business owners type into Google. None of them is a separate discipline from SEO; they are a layer on top of it. And none of them has anything to do with geo-targeting, which is a different word that happens to share three letters.
What is GEO in SEO?
GEO stands for generative engine optimization. A generative engine is any system that writes its answer rather than retrieving a page: ChatGPT, Gemini, Perplexity, Microsoft Copilot, and Google’s AI Overviews and AI Mode. GEO is the practice of making your business and content the kind of source those engines select, summarize and cite.
The term comes from a 2023 paper by researchers at Princeton, Georgia Tech, Allen Institute and IIT Delhi, who tested which changes to a page made generative engines more likely to cite it. Their findings were unglamorous: adding statistics, quoting sources, and writing clearly moved the needle; keyword stuffing did nothing or hurt. The name stuck because it was the first serious attempt to measure the thing.
In practice GEO means four kinds of work: stating facts about your business plainly on your own site, making every outside listing agree with those facts, giving engines structured data they can read without guessing, and publishing content that answers real questions with specifics. Then measuring which prompts actually name you.
What is GEO not? GEO vs geo-targeting
This trips up a lot of people, including Google’s autocomplete. “Geo” in marketing has meant geography for twenty years: geo-targeting (showing ads to people in a place), geo-tagging (attaching a location to a photo or post), geofencing (triggering something when a phone enters an area).
Generative engine optimization is unrelated. Same three letters, different word. If someone says “we do GEO for local businesses,” ask which one they mean. Confusingly, for a Pittsburgh business both matter: the geographic kind decides whether your ads reach the North Hills, and the generative kind decides whether ChatGPT names you when someone in the North Hills asks for a recommendation.
What is AEO, answer engine optimization?
AEO predates the current wave of AI. It appeared around 2017 when Google’s featured snippets and voice assistants (Alexa, Siri, Google Assistant) started reading one answer aloud instead of listing results. The idea was to write content so that an “answer engine” could lift a direct, complete answer from it: question as a heading, answer in the first sentence, supporting detail after.
Today AEO usually refers to Google’s own AI features (AI Overviews, AI Mode) and voice results, while GEO is used for standalone AI chat tools. The distinction is thin. The engines read the same signals, and the content that works for one works for the other. Most practitioners, including us, treat AEO and GEO as one job with two names.
What is AI SEO, and what is “SEO for AI” called?
AI SEO is the umbrella term most people outside the industry use, and it shows up in search far more often than either acronym. It also gets used for something else entirely: using AI tools to do regular SEO work, like drafting content or clustering keywords. So “AI SEO” can mean optimizing for AI engines or optimizing with AI tools. Context usually makes it clear; on this site it means the first.
You will also see LLMO (large language model optimization), AIO (AI optimization), and “AI search optimization.” They all mean the same thing as GEO.
If you are wondering what to search for when you need help with this: “AI SEO services,” “generative engine optimization services” and “AI search optimization agency” all surface the same kind of provider. We use all three on our AI SEO page for that reason.
How are GEO and AEO different from regular SEO?
Regular SEO earns a position on a results page. GEO earns a mention inside an answer. The mechanics overlap more than the vocabulary suggests.
Same foundation. A fast, crawlable site with clear structure, schema and a trustworthy link profile is required for both. Google’s documentation on its AI features says there is nothing special to do beyond its normal guidance, and so far that holds.
Different emphasis. GEO cares more about entity consistency (does every source on the web agree on who you are, where you are, and what you do), about plain factual statements an engine can lift whole, and about verifiable credentials and proof. Regular SEO cares more about links and keyword relevance.
Different measurement. SEO is measured in rankings, traffic and leads by source. GEO is measured by running a fixed set of prompts through the engines and recording whether you are named, where in the answer, and what is said. Rankings cannot tell you this; a rank tracker does not see inside a ChatGPT answer.
Different unit of competition. On a results page you compete for ten slots. In an AI answer you compete for two or three names. There is no page two.
Which one should a business actually care about?
A local business should care about the outcome, not the acronym: when a customer asks an AI for a recommendation in your trade and area, are you one of the names?
In our experience, how often a business gets named varies a lot from one AI tool to the next; a business can be named regularly in one and rarely in another. The work to improve each is the same work: clearer pages, consistent listings, complete entity data, specific content. The platforms differ in how quickly they pick it up.
So: do the foundation (that is SEO), add the layer (call it GEO, AEO or AI SEO), and measure the prompts. The name you use for the layer matters only when you are searching for someone to do it.
Is GEO going to replace SEO?
No, for a structural reason. Generative engines do not maintain their own index of the web at the scale Google does. Google’s AI Overviews are assembled from Google’s search results. ChatGPT’s search mode draws on Bing’s index. Perplexity runs its own crawler but leans on the same signals. If search engines cannot find and trust you, the AI engines built on top of them cannot either. GEO depends on SEO the way a second floor depends on a first.
What does GEO work actually look like?
For a Pittsburgh service business, roughly this, in order:
- A baseline. A fixed list of real prompts, run through each engine, recorded. Where you appear, where a competitor appears instead.
- Entity cleanup. Organization and LocalBusiness schema completed and connected; Google Business Profile, Bing Places, directories and chamber listings made identical.
- Answer-first pages. Each service page opens with a plain definition and the facts an engine can quote: what, where, for whom, with what proof.
- Crawler access. Confirming GPTBot, ClaudeBot, PerplexityBot and Google’s AI crawlers are allowed, and publishing an llms.txt that describes the business in one place.
- Specific content. Articles aimed at the questions where the engines currently name someone else, each with something only you can say.
- Monthly re-measurement. The same prompts, re-run. Changes made based on what moved.
Our AI crawler and llms.txt checklist covers the technical half in detail.
Frequently asked questions
What does GEO stand for in marketing? Generative engine optimization, when the topic is AI search. In older marketing usage, “geo” is short for geographic, as in geo-targeting. They are unrelated.
Is AEO the same as GEO? Nearly. AEO is the older term and leans toward Google’s answer features and voice; GEO is newer and leans toward AI chat tools. The work is the same.
Is GEO better than SEO? It is not an alternative. GEO sits on top of SEO and depends on it. A business with weak SEO cannot do GEO, because the engines will not find or trust it.
What is the best tool for generative engine optimization? For measurement, a prompt-tracking service that runs your queries across the major engines monthly. For the work itself, there is no tool; it is clear writing, consistent listings and structured data, the same things that make a site good for people.
How long does GEO take to show results? Entity and listing fixes can register within weeks, because the engines refresh their sources often. Winning a prompt a competitor already owns usually takes a few months of content and consistency. Measure monthly and expect movement before you expect wins.