Generative engine optimization, or GEO, is the practice of making your content easy for AI answer engines to find, understand and cite. It builds on SEO. It does not replace it.
A growing share of questions now end in a written answer instead of a list of links. ChatGPT, Claude, Perplexity and Google’s AI features read a set of sources and compose a response. Your company is either part of that response or it is not.
That has produced a new acronym and, predictably, a new wave of people selling secrets. This article separates what the evidence supports from what is still guesswork, and explains what a company should actually do about it.
What GEO actually means
The term comes from a research paper, GEO: Generative Engine Optimization, by researchers including a team from Princeton, presented at the KDD conference in 2024. It describes methods for improving how visible a piece of content is inside an AI-generated answer.
The difference from classic SEO is the unit of success:
- SEO aims for a position on a results page, and then a click.
- GEO aims for inclusion in an answer: being mentioned, being cited, and being described correctly.
You will also see the term AEO, for answer engine optimization. For practical purposes the two overlap heavily. Nobody needs a separate strategy for each acronym.
What Google says about it
Start with the most useful piece of deflation available. Google’s documentation on AI features and your website says there are no additional requirements to appear in AI Overviews or AI Mode, and no special optimizations needed. It also says you do not need new machine-readable files, AI text files or special schema markup.
So if someone sells you an llms.txt file as the key to Google’s AI results, Google has already answered that. A page has to be indexed and eligible to appear in Search with a snippet. The normal fundamentals apply.
The same page explains one thing worth understanding. These features may use “query fan-out”, issuing multiple related searches across subtopics to build an answer. That means a page can be pulled in for a sub-question it answers well, even if it would never rank for the main query. Covering a topic properly matters more than repeating a phrase.
What the research found
The GEO paper tested a range of content changes on its own answer engine, with a smaller test on Perplexity. Three findings are useful:
- Evidence helped. Adding citations, quotations and statistics were the top performers, with a relative improvement of 30 to 40 percent on the paper’s main visibility measure.
- Keyword stuffing did not. It scored below the unoptimized baseline on that same measure.
- Results varied by domain. The authors state that what works depends on the subject area.
Hold this loosely. It is one study, from a controlled benchmark, and AI products have changed considerably since. But the direction is hard to argue with: content that shows its evidence is more useful to a system assembling an answer.
The obvious warning is that statistics only help when they are real. Inventing numbers to look citable is how a brand ends up quoted saying something false, at scale.
How to make content easy to cite
None of this requires writing for robots. It mostly means writing with fewer places to hide:
- Answer first. Put the direct answer in the opening lines, then explain it.
- Define your terms. A clean “X is Y” sentence is easy to quote and hard to misread.
- Make each section stand alone. A passage should still make sense when lifted out of the page.
- Use headings that match real questions. Write the question a customer would actually ask.
- Show your sources. Link to primary research and name who said what.
- Say something original. Your own process, data and opinions are the one thing an answer engine cannot get anywhere else.
- Keep it current. Show real publication and update dates, and only change them when the content changes.
That last-but-one point is the one most GEO advice skips. If your article restates what ten other articles say, there is no reason to cite yours. The same trap is described in why most startup websites sound exactly the same, and AI makes it more expensive.
The technical checklist
Most of this is unglamorous and worth doing once, properly:
- Serve real HTML. Make sure the main text is in the page rather than depending on scripts to appear.
- Check robots.txt and your CDN. Bot protection can block crawlers without anyone noticing.
- Link pages internally. Content that nothing links to is hard to find.
- Add honest structured data. Article, author, organization and date markup clarify who wrote what, as long as they match what the page shows.
AI crawlers are not all doing the same job, which matters if you are deciding what to block. OpenAI documents three agents, and Anthropic documents a similar split:
- Training: GPTBot and ClaudeBot collect content that may be used to train models.
- Search: OAI-SearchBot and Claude-SearchBot support search features. OpenAI says sites that opt out of OAI-SearchBot will not be shown in ChatGPT search answers.
- User requests: ChatGPT-User and Claude-User fetch pages when a person asks a question.
A company can reasonably opt out of training and stay available for search. Blocking everything by reflex can remove you from the answers you wanted to be in.
Why GEO is really a brand problem
An answer engine does not only read your website. It reads what the rest of the internet says about you: reviews, press, directories, comparison articles, forums and your founder’s interviews. If those sources disagree, or if you are described differently everywhere, the model has nothing stable to repeat.
A sharp position is therefore a technical advantage. A company that says one clear thing, consistently, in many places, gives the system a clear thing to retrieve. That is why positioning comes before any of the tactics above, and why this work sits close to brand strategy and performance at Spank.
Once the foundations are in place, the next question is how you know whether any of it is working. We cover that in how to measure AI visibility.
GEO is not SEO with a new hat. But it is not a separate universe either. The companies that show up in answers will mostly be the ones that had something clear and true to say in the first place.
Frequently asked questions
What is generative engine optimization?
Generative engine optimization, or GEO, is the practice of making content easy for AI answer engines to find, understand and cite. Where SEO aims for a ranking and a click, GEO aims for inclusion and accurate description inside an AI-generated answer.
Is GEO different from SEO?
GEO builds on SEO rather than replacing it. Crawling, indexing and quality content remain the foundation. GEO puts extra emphasis on clear answers, evidence, citations and a consistent description of the brand across the web.
Do I need an llms.txt file to appear in AI answers?
Not for Google. Google’s documentation says no new machine-readable files, AI text files or special schema are needed to appear in AI Overviews or AI Mode. Other AI companies have their own systems, and the benefit of llms.txt remains unproven.
What content is most likely to be cited by AI?
Research on GEO found that adding citations, quotations and statistics improved visibility most in its tests, while keyword stuffing did not help. Clear definitions, direct answers and original expertise also make content easier to use, though results vary by subject.
Should I block AI crawlers from my website?
It depends on your goal, and crawlers do different jobs. OpenAI and Anthropic each separate training crawlers from search and user-request agents. A company can opt out of training while still allowing the agents that make it visible in AI search.
