28/07/2026
What Is GEO? A Practical Guide to Generative Engine Optimization
Generative Engine Optimization, or GEO, is the practice of making your content easier for AI-powered search systems to discover, understand, evaluate, and reference in their answers.
The idea became more important as search changed from simply returning a list of links to generating answers, summaries, comparisons, and recommendations.
But there is an important distinction that gets lost in the GEO conversation:
GEO is not a collection of tricks for getting ChatGPT or Google to mention your brand.
The fundamentals are much less exotic. Your website needs to be discoverable. Your content needs to answer real questions clearly. Your claims need to be credible and supported. And your business needs to be understandable as an entity, not just as a collection of keywords.
Google's current guidance makes this even clearer. Its generative AI search features continue to rely on the same core SEO and quality principles used across Search. There are no special technical requirements or GEO-specific schema that guarantee inclusion in AI Overviews or AI Mode.
So what does GEO actually mean, and what should a company do about it?
What is GEO?
Generative Engine Optimization (GEO) refers to the practice of improving a website's visibility and usefulness within generative search experiences, where an AI system retrieves information and uses it to construct an answer.
Traditional search primarily asks:
Which pages should I show for this query?
Generative search can ask a more complicated question:
Which sources can help me construct a useful answer to this question?
That difference matters.
A user searching for "best CRM for a small SaaS company" may previously have received a page of results.
Today, an AI search experience may instead produce a comparison, explain the trade-offs, recommend several options, and link to sources that support the answer.
Your website therefore has another job to do.
It needs to be a useful source, not simply a page that contains the right keyword.
Does GEO replace SEO?
No.
In fact, treating GEO and SEO as completely separate disciplines is one of the easiest ways to make your strategy unnecessarily complicated.
Google explicitly says that its AI Overviews and AI Mode continue to use core Search systems and that existing SEO best practices remain relevant. Pages still need to be crawlable, indexable, and eligible to appear in Search.
A useful way to think about it is:
SEO helps search systems discover and evaluate your website. GEO focuses on making that information useful and understandable when AI systems use search results to construct answers.
The foundations overlap heavily.
That means technical SEO, internal linking, useful content, clear site structure, authoritative sources, strong information architecture, and a good user experience still matter.
GEO is not a replacement for those things.
It is a way of thinking about how your content participates in a newer search environment.
Why does GEO matter now?
AI-mediated search is becoming part of how people research companies, products, technologies, and ideas.
Google now has AI Overviews and AI Mode. ChatGPT can search the web and cite websites in its answers. Microsoft provides AI-generated answers through Copilot and Bing and now offers an AI Performance report showing which pages are cited across supported AI experiences.
This changes the visibility question for brands.
It is no longer only:
"Do we rank for this keyword?"
It can also be:
"When someone asks an AI system about this topic, does our company have information worth using?"
That is a much more interesting question.
What actually influences GEO visibility?
There is no public formula that tells you exactly why one source gets cited instead of another.
Different AI search systems use different retrieval and ranking systems, and even the same system can produce different sources for different queries.
But there are several fundamentals worth focusing on.
1. Make your content discoverable
AI systems cannot reliably use information they cannot access.
For Google, pages generally need to be indexed and eligible to appear in normal Search to be eligible as supporting links in AI Overviews or AI Mode. Google also recommends the usual technical foundations: crawlable pages, internal links, good page experience, and important information available in text.
For ChatGPT Search, OpenAI says website owners should allow OAI-SearchBot to crawl their sites if they want their content to be eligible for inclusion in search results. OpenAI also makes clear that allowing crawling does not guarantee placement.
So before worrying about "AI optimization," make sure your website can actually be found.
2. Answer the question directly
AI systems need to understand what a page is about.
This sounds obvious, but many company websites make it surprisingly difficult.
A page about your product should clearly explain what the product does.
An article about pricing should actually explain pricing.
An article about a strategy should answer the strategic question rather than spending 700 words introducing the topic.
Clear headings, descriptive titles, concise explanations, useful examples, and logical page structure all help people understand your content. They also make the information easier for systems to interpret.
You do not need to write every paragraph as though it were an answer to a chatbot.
You simply need to stop making readers work unnecessarily hard to find the answer.
3. Create information that is genuinely useful
This is probably the most important part.
Google's current generative AI guidance explicitly encourages unique, valuable, non-commodity content rather than content that simply reproduces information already available everywhere. It also warns against several popular GEO theories, including unnecessary content "chunking," special AI files such as llms.txt, and rewriting content purely to satisfy AI systems.
This is good news for companies with actual expertise.
If you have original research, useful examples, strong opinions, proprietary frameworks, first-hand experience, or a genuinely better explanation of a difficult subject, publish it.
That gives both people and search systems something worth finding.
4. Support important claims
AI-generated answers are often assembled from multiple sources.
That makes evidence particularly valuable.
If you make a factual claim, show where it comes from when a source is available.
If you publish research, explain the methodology.
If you quote a statistic, link to the original source.
If you have first-hand experience, make that experience explicit.
This is also where many "AI search hacks" miss the point. Adding random statistics to an article does not automatically make it authoritative.
Evidence needs to be relevant, verifiable, and connected to the claim it supports.
5. Build clear topical authority
One article rarely explains everything about a subject.
A stronger website develops a connected body of useful information.
For example, a B2B SaaS company might publish:
What is product-led growth?
Product-led growth vs sales-led growth
How to price a PLG SaaS product
Product-led onboarding examples
SaaS activation metrics
Common PLG mistakes
Those pages can then connect to one another.
This creates a clearer topical structure for both readers and search engines.
It also gives AI systems more relevant material to draw from when answering different questions about the subject.
This is one reason internal linking matters for GEO just as much as it matters for conventional SEO.
Does the original GEO research actually prove that GEO works?
There is legitimate academic research behind the term.
The original paper, "GEO: Generative Engine Optimization," was published at KDD 2024 by researchers including Pranjal Aggarwal, Vishvak Murahari, Tanmay Rajpurohit, Karthik Narasimhan, and Ameet Deshpande.
The researchers created GEO-bench, a benchmark containing around 10,000 queries across multiple domains, and tested different ways of modifying content to influence its visibility in generative-engine responses.
The study reported visibility improvements of up to 40% under its experimental conditions, while also finding that results varied by domain.
That is interesting research.
But it should not be turned into a marketing promise.
The study does not mean that changing your website according to a list of GEO tactics will increase your traffic by 40%.
It does not establish a universal ranking formula for ChatGPT, Google, Perplexity, or every future AI search system.
What it does establish is something more useful:
The way information is presented can affect how it appears in generated answers.
That is a reasonable basis for further experimentation, not a reason to abandon conventional SEO.
What about GEO tactics like llms.txt, keyword stuffing and content chunking?
This is where the industry has accumulated a lot of unnecessary advice.
For Google Search, Google's current guidance says you do not need:
llms.txtor other special AI filesspecial GEO schema
artificially fragmented "AI-readable" content
a specific word count
rewritten content designed solely for AI systems
artificial mentions of your brand across the web
Google specifically says that llms.txt is not used by Google Search, that there is no ideal page length, and that there is no special schema required for generative AI search.
That does not mean these concepts can never be useful elsewhere.
It means they should not distract you from the fundamentals.
If someone is telling you that your entire SEO strategy needs to be rebuilt around a secret GEO format, be skeptical.
How should you measure GEO?
Measurement is still evolving.
You cannot simply open Google Analytics and find a neat "GEO score."
Instead, think about several layers of evidence.
Google Search Console
Google reports AI Overviews and AI Mode within its Search performance data, while its newer generative AI reporting provides additional visibility into performance in those experiences.
Bing Webmaster Tools
Bing's AI Performance report is particularly interesting because it shows pages cited in AI-generated answers across Microsoft Copilot, Bing AI summaries, and selected partner experiences.
It can show:
pages cited
citation activity over time
grounding queries associated with your content
page-level citation activity
Bing is careful to say that these metrics represent citation activity, not rankings, authority, traffic, or the importance of a page.
Manual testing
You should also test the questions your customers actually ask.
For example:
"What are the best ___ tools for startups?"
"How does ___ compare with ___?"
"Who are the leading companies in ___?"
"What should a founder know before choosing ___?"
"What is ___?"
Run these searches periodically across the AI systems relevant to your audience.
Look for patterns.
Are competitors appearing?
Are the same sources being cited repeatedly?
Is your company being described accurately?
Are there questions where your website should be a credible source but is completely absent?
Those observations are often more useful than obsessing over a single visibility score.
A practical GEO strategy for startups
If you are a startup, I would keep the strategy relatively simple.
Start with your most important questions
List the questions your customers, prospects, investors, partners, and industry peers actually ask.
Then identify which ones your website currently answers well.
Build pages around real expertise
Do not create 50 thin pages because an SEO tool gave you 50 keywords.
Create fewer, better resources that demonstrate what you actually know.
Make your company easy to understand
Your website should make it obvious:
what you do
who you serve
what problem you solve
where you operate
what makes your approach different
who is behind the company
what evidence supports your claims
Entity clarity matters because AI systems need to connect information about a company with the correct company.
Connect your content
Use internal links to connect related ideas.
Your most important pages should not sit in isolation.
Cite your sources
When you make important factual claims, link to the evidence.
This makes your content more trustworthy to readers and gives AI systems clearer source material to work with.
Keep important information current
Outdated pricing, statistics, product information, team pages, and outdated claims can make an otherwise strong website less useful.
Update pages when the underlying information changes, not simply because a calendar says it is time for a refresh.
SEO vs AEO vs GEO
These terms overlap enough that they are often used interchangeably.
Term | Main idea |
|---|---|
SEO | Improve visibility in search engines |
AEO | Structure information to better answer questions |
GEO | Improve visibility within generative AI search experiences |
In practice, there is substantial overlap.
Google itself describes AEO and GEO as terms used to describe work focused on AI search, while emphasizing that optimizing for generative AI search is still fundamentally part of Search optimization.
For most businesses, creating separate "SEO content," "AEO content," and "GEO content" is unnecessary.
A better strategy is to build a strong search presence that works across all three environments.
The real opportunity with GEO
The most useful way to think about GEO is not:
"How do I trick an AI into citing me?"
It is:
"How do I become one of the most useful sources on the web for the questions my customers care about?"
That changes the work completely.
Instead of stuffing keywords into paragraphs, you research.
Instead of manufacturing statistics, you find evidence.
Instead of publishing generic AI-written articles, you add experience and judgment.
Instead of chasing every new GEO tactic, you build a website that is technically accessible, easy to understand, well connected, and genuinely useful.
That is not just good GEO.
It is good marketing.
And as AI becomes another interface through which people discover companies, products, and ideas, that distinction will matter more.
The goal is not to make your content sound like it was written for a machine.
The goal is to make your expertise so clear, useful, and well-supported that both people and machines can understand why it matters.
Frequently asked questions
What is GEO?
Generative Engine Optimization, or GEO, is the practice of improving a company's content and digital presence so generative search systems can discover, understand and potentially reference it when producing answers.
The term originated in academic research published at KDD 2024.
Is GEO the same as SEO?
No, but they overlap heavily.
SEO focuses on visibility in search engines and the broader technical and content foundations that support it. GEO focuses specifically on visibility within systems that synthesise answers from retrieved information.
The technical and content foundations are largely shared.
Does SEO still matter for GEO?
Yes.
Google explicitly says that its existing SEO fundamentals remain relevant to AI Overviews and AI Mode and that pages must be indexed and eligible for normal Search to appear as supporting links.
Do I need special GEO schema?
No.
Google says there are no additional technical requirements or special schema needed for AI Overviews or AI Mode. Structured data can still help search engines understand eligible content and enable supported search features, but it is not a GEO switch.
Does adding statistics make content more likely to be cited?
The original GEO research found that some content modifications, including adding statistics and citations, improved visibility in its experimental setup.
That does not mean statistics are a universal ranking factor.
Use statistics when they genuinely support the argument.
Should every article start with the answer?
Not as a rigid rule.
Clear writing generally benefits from answering the reader's question without unnecessary delay. But there is no requirement to restructure every article according to a fixed “AI extractability” formula.
Write for the information need.
Does llms.txt improve GEO?
There is no established evidence that it improves Google AI-search visibility. Google currently says that llms.txt does not affect its Search visibility.
How do I get my website into ChatGPT Search?
Make sure your public content is accessible to OpenAI's OAI-SearchBot and that your host or CDN allows its published searchbot traffic. OpenAI says any public website can appear in ChatGPT Search, but placement is not guaranteed.
How do I measure GEO?
Use a combination of manual AI-query testing, search performance data and available first-party AI citation reporting.
Bing Webmaster Tools now provides AI Performance reporting for supported Microsoft AI experiences, including cited pages and grounding-query data.
There is not yet one universal metric for AI visibility.
Can I guarantee that my brand will be cited by ChatGPT?
No.
Any agency promising guaranteed ChatGPT citations is making a claim that the platforms themselves do not support.
The systems choose sources dynamically, and OpenAI explicitly says search placement is not guaranteed.
Where to start
If you are serious about GEO, do not start by rewriting 100 pages.
Start with the questions.
Find the 20 things your best customers want to know before they choose you.
Search them.
Ask AI systems the same questions.
See who appears.
See what information they use.
Then look at your own website.
Would you choose your company as a source if you were trying to answer that question honestly?
If the answer is no, that is the work.
Improve the information.
Improve the evidence.
Improve the structure.
Improve the technical foundation.
Build the reputation around it.
Then keep going.
Because the real goal of GEO is not to trick an AI into mentioning your brand.
It is to build a company that has enough useful, credible information around it that being mentioned becomes reasonable.
