SEO, AEO and GEO: how to get into AI answers

Your SEO is solid. The website is fast, the keywords are right, backlinks keep coming. Then you ask ChatGPT something about your field — and the answer features your competitors.

It's not your SEO's fault. It's a different game.

In brief

• SEO gets you onto the first page of results. AEO into the direct answer. GEO into the text the AI generates.
• GEO doesn't replace SEO — it builds on it. Without a technically accessible, trustworthy website, AI won't cite you.
• According to an Ahrefs analysis, only about 38% of URLs cited in AI Overviews also appear in the top ten organic results.
• A peer-reviewed study from KDD 2024 measured what works: statistics, cited sources and attributed expert quotes. Keyword stuffing made results worse.
• The first 200 words decide. What isn't there, AI probably won't cite.

Generative Engine Optimization (GEO) is the discipline of preparing content and a company's presence so that language models — ChatGPT, Perplexity, Gemini, Claude or Google AI Overviews — cite you directly in the answers they generate. While classic SEO competes for a position in a list of links, GEO competes for a place in the answer itself.

In this article you'll find the difference between three often-confused acronyms, the mechanism AI uses to choose sources, an overview of what research shows actually increases your chance of being cited — and seven steps you can take this week.

What SEO, AEO and GEO mean

Terminology in this field is still unsettled. The Wikipedia entry on generative engine optimization lists several names in parallel use — answer engine optimization (AEO), artificial intelligence optimization (AIO), AI SEO and large language model optimization (LLMO). They essentially refer to overlapping things.

Here's the practical distinction:

Is GEO just rebranded SEO?

Not quite — but it's not a new world where the old rules don't apply either.

The difference is the unit you optimize. With SEO you prepare a page to rank for a query. With GEO you prepare individual passages so the system extracts them and uses them as the basis for an answer. One page can be cited for five different questions — with a different paragraph each time.

The second difference is where the game is played. SEO is mostly a discipline on your own website. GEO is largely a discipline outside it: it depends on what others write about you and whether that information is consistent.

Why ranking first on Google is no longer enough

For a long time a simple rule applied: whoever ranks first on Google is visible. With AI answers, that's no longer true.

A 2026 Ahrefs analysis found that only about 38% of URLs cited in Google AI Overviews were also in the top ten organic results for the same query. So there is overlap, but it's far from complete. Ranking on the first page helps — but it's no longer decisive.

People's behavior has changed too. According to a Similarweb analysis, the average ChatGPT prompt is around 60 words, while a typical Google query is about 3.4 words. That's not the same user with a different keyboard. It's someone describing their situation, budget and constraints — and expecting a recommendation, not a list.

Back in February 2024, Gartner predicted that classic search volume would drop by a quarter by 2026. That should be read as a forecast, not a measured fact. Even if it comes only partly true, three quarters of the volume stays in classic search — which is exactly why GEO isn't a replacement for SEO but an extra layer.

What GEO isn't

It's not a paid placement. You can buy ads in AI — since August 2026, ChatGPT ads have been available in Slovakia too. You can't buy a mention in the answer itself. They're two separate things, and nobody can guarantee them.

It's not a one-time tweak. AI citations fluctuate from week to week. It's cumulative work, not a one-off fix.

If someone promises you guaranteed placement in ChatGPT answers, they're promising something they have no way of delivering.

How AI chooses whom to cite

Behind an answer with links is a mechanism called retrieval-augmented generation (RAG). The model doesn't answer only from what it learned during training — it first retrieves relevant passages from external sources and only then assembles an answer from them.

The process has three stages where you can succeed or drop out:

1. Breaking down the question. The system doesn't treat your prompt as a single query. It breaks it into sub-questions and searches for each separately — Google calls this query fan-out. So you're also competing for questions the user never typed.

2. Retrieving passages. The system isn't looking for “the best page” but for specific stretches of text that answer a sub-question. A paragraph that only makes sense in the context of the whole article is at a disadvantage.

3. Assembling the answer and attributing the source. The model picks the passages it can use with the least risk and the least editing. A specific number with a named source is safer for it than a general claim.

That last point is the key to the whole discipline. A language model is a cautious system. It would rather cite a verifiable fact with a named source than a well-written but unsupported sentence.

What research shows actually works

Most of what's written about GEO today consists of observations by tool vendors. But there's one peer-reviewed study that measured it under controlled conditions — and almost everything else builds on it.

The paper GEO: Generative Engine Optimization was published by a team led by Pranjal Aggarwal from IIT Delhi and Princeton University at the KDD 2024 conference. The authors built a benchmark of roughly ten thousand questions and tested nine different content interventions.

These worked:

• Adding statistics — the strongest single intervention, an improvement of around 41% on the main visibility metric
• Citing sources — for pages in fifth position in search results, the authors recorded a visibility increase of up to 115%
• Attributed expert quotes — an improvement of around 28%
• Fluency — simply rewriting into a clearer form, without adding information

These didn't work or did harm:

• Keyword stuffing — results below the unedited version
• Simplifying the text and padding content without added value

Two details from this study almost always get lost in articles that cite it.

First: lower-ranked pages gained the most. That 115% increase applied to the fifth position — not the first. So GEO is an opportunity mainly for businesses that don't dominate classic search.

Second: these were measurements in a lab setting, not citations in today's ChatGPT. The direction of the findings keeps being confirmed, but treat the specific percentages as indicative.

Why numbers and sources?

Because they reduce the risk on the model's side.

The sentence “many companies are investing in AI today” can't be cited — there's no claim to extract. The sentence “according to a Gartner forecast from February 2024, classic search volume will drop by 25% by 2026” has a source name, a number and a timeframe. The model can take it almost unchanged and attribute it.

The same principle applies to your own data. “We increased a client's revenue by 47% in six months” is citable. “We significantly improved performance” isn't.

7 steps you can take this week

1. Check whether AI crawlers can read you at all

Check robots.txt and whether you're blocking GPTBot, ClaudeBot or PerplexityBot. Some businesses have these bots blocked without knowing it — sometimes a protective layer in front of the website blocks them. Without this step, the rest are pointless. If you're not sure how to do it, it's part of regular technical website maintenance.

2. Put the answer in the first 200 words

Don't write an intro that works its way toward the answer. Answer right away and elaborate afterwards. Ideally as a standalone paragraph of 40 to 60 words that makes sense even out of context — that's exactly what the system takes away.

3. Rewrite headings as questions

A heading like “Pricing” doesn't answer any question. “How much does an e-shop cost?” does. Under each such heading, put an answer that works on its own, without the rest of the page.

4. Add numbers and named sources

Go through your five most important pages and add one or two specific data points with their source to each main section. Not twenty — that starts to look like a content farm. A reasonable density is one data point per roughly 300 to 500 words.

5. Implement structured data

Organization, Article, FAQPage, Product according to the page type. Schema isn't a magic switch, but it gives machines an unambiguous answer to what the page actually is.

6. Align what's said about you elsewhere

This is the most underrated step. Models build a picture of a business from multiple sources — Wikipedia and Wikidata, LinkedIn, Crunchbase, industry directories, reviews, your own structured data. If your company has a different name in one place, a different address in another and a different line of business in a third, the system isn't sure who you are — and would rather mention someone else. Aligning these sources is cheap work with a long-term effect.

7. Update what you already have

Freshness is a strong signal for AI answers. A guide from 2024 that hasn't been updated loses to an article on the same topic from this year. Add new data and a visible last-updated date.

How to check whether it's working

The most common mistake is doing GEO without measuring it. A citation in ChatGPT won't show up in Google Analytics.

Here's what you can track:

Ask the AI directly. Put together twenty questions your customer would actually ask and run them once a month across ChatGPT, Perplexity and Gemini. Note whether the system mentioned you, whether it added a link and in what context. It's primitive, but it works and costs nothing.

Check your server logs. You can see visits from GPTBot, ClaudeBot and PerplexityBot directly. If they don't come at all, you know where the problem is.

Segment your AI traffic. Referrals from AI tools can be identified in analytics by source. Volumes will be small at first — what matters more is how this traffic behaves. Setting up this kind of tracking is a standard part of advanced analytics.

Don't expect results within a week. Building authority and entity signals takes months, not a single fix.

Where GEO fits in your marketing

GEO isn't a standalone service you order instead of SEO. It's how content needs to be done today — and it complements your other channels.

Classic SEO is the foundation: without a technically sound website and decent authority, AI won't cite you no matter how nice your FAQ is. Performance advertising handles immediate traffic, while GEO works on long-term presence in recommendations. And if you're rolling out AI tools and agents in your business, you have an advantage — you understand how these systems work with data and can carry that over into your own presence.

Frequently asked questions

What is GEO optimization?

Generative Engine Optimization is preparing content and a company's presence so that language models like ChatGPT, Perplexity, Gemini or Claude cite your brand in the answers they generate. While SEO competes for a position in a list of links, GEO competes for a place in the answer itself.

What's the difference between AEO and GEO?

AEO (Answer Engine Optimization) focuses more narrowly on direct answers — featured snippets, voice search and AI Overviews. GEO is a broader discipline covering the entire generative ecosystem, including longer synthesized answers and conversational tools. The technical levers almost overlap: clear structure, fact density and a question–answer format. AEO is now mostly considered a subset of GEO.

Does GEO replace classic SEO?

No. GEO builds on SEO. Most AI systems pick candidate sources from classic indexes, so a slow website, thin content or weak authority rules you out before citation is even decided. Businesses that do both disciplines do better than those that pick just one.

How long does it take for GEO to show results?

Individual page changes — adding the answer at the top, numbers and sources — can show up within days to weeks, because the search layer of AI tools refreshes fairly quickly. Building brand authority and entity signals, however, takes three to six months.

Can you buy placement in ChatGPT answers?

No. You can buy ad space below the answer — ChatGPT ads have been available in Slovakia since August 2026. A mention in the answer itself can't be bought, and nobody can guarantee it. They're two separate things that aren't mutually exclusive.

Does GEO work for small businesses too?

Yes, and in some ways better than for large ones. The peer-reviewed KDD 2024 study found that lower-ranked pages saw the biggest visibility gains after adding cited sources. For regional questions, systems also reach for specific local sources — a small business with well-structured data has a real chance.

Where to start

If you take away three things from this article, let them be these:

GEO isn't a replacement for SEO. It's an extra layer on top of what you already do. Without a healthy website, neither works.

Fact density and verifiability decide. A specific number with a named source beats a well-written but unsupported sentence.

The first 200 words carry the answer. What isn't there, the system probably won't use.

Try it right now: ask ChatGPT something about your field and see whether it mentions you. The answer to that one question will tell you more than any audit.

Need help with your AI visibility?

We'll audit what language models know about your business, align your entity signals and adapt your content so it's citable.

Let's meet →

Sources

1. GEO: Generative Engine Optimization — Aggarwal, Murahari, Rajpurohit, Kalyan, Narasimhan, Deshpande. KDD 2024, arXiv:2311.09735. The first peer-reviewed study to measure under controlled conditions which content interventions increase visibility in AI answers.
2. Generative engine optimization — Wikipedia. An overview of the terminology and the discipline's parallel names.
3. Mastering generative engine optimization in 2026 — Search Engine Land. A practical overview of tactics and measurement.
4. ChatGPT Ads expands across Europe — OpenAI, August 18, 2026. The expansion of ChatGPT ads into European markets.

As of August 2026.