What Is GEO? — Making AI Think of You First When It Answers

A couple of nights ago, I wanted to buy a coffee machine.

My first instinct wasn't to open a shopping app. It was to open ChatGPT and type:

"With a budget of around 1,500, which coffee machine is right for me?"

It listed three models and even compared them: which one brews consistently, which one is easy to clean, which one suits an office.

I added another line: "I only drink plain black coffee, and I'm in a rush in the mornings."

It immediately narrowed the choice to a single machine — and told me exactly why.

Have you noticed that the way you make decisions is quietly changing?

It used to be "search": you'd open Google and click your way through ten blue links one by one. Now it's "ask": you open a chat box and go straight for an answer.

But here's the question that matters more: of those three, the brand that ended up chosen — who put it there? And why that one, and not you?

That's where a word slides in: GEO.

What Is GEO?

GEO stands for Generative Engine Optimisation.

In plain terms, it means optimising your business so that, when a generative AI serves up its answer, it's willing to write you into it.

Think about who's been writing your answers these days. ChatGPT, Google's Gemini, Perplexity, Claude — plus the block of AI Overviews perched at the very top of Google's results.

They don't hand you a row of links and make you weigh them yourself. They hand you a ready-made paragraph and serve the answer right to you. And whoever that paragraph names, quotes, or recommends — behind all of it is business.

So what about traditional SEO? It puts you first on the results page and waits for the user to click through.

GEO is different. What it wants is for the AI to cite you directly while it writes that paragraph. Users can even skip the "click" step entirely.

When the front door itself has changed, shouldn't the playbook change with it?

Where Did This Word Come From?

GEO grew straight out of SEO.

There's an academic paper that first used the term "Generative Engine Optimisation." When marketing people read it, they thought — yes, this is exactly what we've been circling around, so let's just call it GEO.

There's also some background worth knowing: this corner of the industry hasn't settled on a single name yet. GEO, AEO (Answer Engine Optimisation), AI SEO, LLMO (Large Language Model Optimisation) — the labels keep shifting, but they all describe the same thing.

Strip it down, and there's one iron rule to remember:

Whatever it's called, the goal is a single sentence: make AI think of you when it answers.

How Does AI "Think" About a Question?

A lot of people assume AI digs an answer out of some single webpage.

It doesn't.

A generative engine almost never trusts just one source. It gets the job done through a sequence of moves, so let me put that into plain language:

First, it breaks things apart. It splits your one question into several smaller, related ones.

Second, it retrieves. For each smaller question, it goes looking across the web for a matching piece of material. The jargon for this step is RAG, retrieval-augmented generation — feeding relevant snippets to the model so it can answer accurately.

Third, it stitches things back together, weaving what it found into a single, solid-looking answer.

That whole process goes by the trade term query fan-out — think of it as drawing material from many corners, then writing its own little essay.

So what does this mean for you?

In the past, you'd fixate on a single keyword, say "coffee machine," and it would get you nowhere. What you need instead is to make AI run into you repeatedly across the whole cluster of questions that have anything to do with coffee machines.

Now look back at that coffee-machine example. The more specific my question got, the more its answer reached for content that "understood" me. The brand that got recommended is almost certainly the one whose content fills in details like "plain black," "quick," and "within budget" in abundance.

Hold onto this sentence: AI prefers the websites that describe themselves especially clearly and in fine, careful detail.

Are GEO and SEO Enemies?

No. And remember this: SEO isn't dead — it's the level before GEO.

The two share the same foundation: content quality, authority signals, backlinks, and technical fundamentals. The only difference is the finish line.

SEO finishes by ranking high and winning clicks. GEO finishes by slipping into the answer and getting cited.

Go one layer deeper: before an AI's crawlers can cite you, they first have to be able to find you and read you in traditional search. So if you haven't cracked the old game, you won't even get a ticket to the new one.

And to all the marketers stressing over "should I believe in AEO, AI SEO, LLMO, or GEO?" — let it go. It's the same soul wearing a different mask. Pick whichever name rolls off your tongue and get to work.

So What Do You Actually Do? Seven Moves

We've run experiments in this space for a long time, and these seven are the moves that have been validated the most so far:

First, build a solid traditional SEO foundation.

Many AI tools run a web search before they answer. If you don't even rank in traditional search, why would they cite you? Win the old game first.

Second, keep an eye on Google's AI Overviews. They used to be called SGE, and today roughly 7% of searches show an AI summary block right at the top of the results. A randomized field experiment put a number on it: the moment an AI summary appears, publishers' clicks drop by 39.8%. If you don't claim this high ground, the visitors you lose will all end up at someone else's door.

Third, bake "questions" and "commands" into your content. AI loves two structures: first, "what's the best?", because it enjoys answering concrete questions; second, "how do I do X step by step", because the clearer the instructions, the more it wants to quote them. Write these two shapes into your body text, and it'll latch onto you every time.

Fourth, use related terms rather than stacking keywords. The keyword-stuffing fad from 2011 belongs in the bin by now. What's mainstream today is a head term plus a string of related LSI (Latent Semantic Indexing) terms. Say you're a personal-injury law firm and your head term is "personal injury lawyer" — your pages should naturally grow phrases like "vehicle accident claims" and "slip-and-fall lawsuits." AI relies on those to confirm, at the semantic level, that you really know your field.

Fifth, get the whole web talking about you. Brand mentions, blogger reviews, and genuine reviews all count. And reviews need to live beyond your own site — people should be speaking up for you on Google Reviews, Trustpilot, Feefo, and Reviews.io. AI treats those as "everyone says so" evidence. You want volume, but you want quality even more: the more specific a review, the better.

Sixth, lead with authority, and let authenticity show. Follow E-E-A-T: Experience, Expertise, Authoritativeness, and Trustworthiness. Sources have to hold up to scrutiny, and people who genuinely know the field should read through your content. One specific tip: if the data is yours, don't just drop the conclusion — publish the raw data alongside it. AI can read data, and it will stitch your numbers together with other datasets — and your presence rides along.

Seventh, make a few short, useful videos. What people want is an answer, not a glossary. A two-to-three-minute video like "how to apply for a mortgage," embedded in a blog post, not only makes the page richer — it may also rank on its own in search and on video platforms.

Some Fundamentals — and the Lines You Don't Cross

That's the "what." These next lines are the "how":

• Don't fudge the content. Write it detailed and credible: add a table when a table is called for, quote the passages that deserve quoting.
• Keep the brand voice consistent. AI can recognize "a consistent voice," and that consistency is itself an authority signal.
• Say complicated things simply. Models prefer content that reads smoothly.
• Make the layout scannable. Subheadings, short paragraphs, bold where bolding is due — scannability is a hard requirement.

Does This Whole Approach Actually Work?

Yes, it works. But don't treat any single number as gospel.

One piece of research put a figure on it: GEO can raise your content's visibility within generative answers by as much as 40%. Note that even the people who produced that number reminded you it's "relative improvement" measured within a limited scope. Take a pinch of salt — don't read too much into it.

What's worth weighing more than any number is this:

In May 2026, Google issued an official guide for the first time, specifically about "how to optimize for generative AI." It spells out three things:

First, it shares the same roots as Google's core search signals. Content must be useful, not commodity content there to pad the numbers, and it must be technically accessible to crawlers.

Second, you don't need to pre-cut your content into tiny pieces for AI — its systems will take care of that themselves.

Third, the thing recently hyped as the next big trend, llms.txt, gets no special exemption at Google.

This guide does you one real favor: it cuts away most of the fancy tricks you were anxious about.

Also keep watching a new species: AI agents. ChatGPT Agent, for instance, can genuinely do things for you — compare prices, book tickets, place orders. It isn't just "summarizing" anymore; it's starting to "execute." Which brand gets cited, and which one it treats as its basis for action, is a brand-new battlefield.

Measurement has matured too. LLM Pulse and Semrush's AI Visibility Toolkit can already track your mentions, citations, and reputation across ChatGPT, Perplexity, Gemini, and AI Overviews. HubSpot released an AI Search Grader that uses GPT-4o to check a brand's share of voice and sentiment.

With the reassurance out of the way, here's how you can check things yourself.

How Do You Know If AI Can Actually See You?

Five honest, low-tech checks:

Check the AI Overviews. In Semrush's Position Tracking, go into SERP Features and see which of the keywords you're guarding has triggered an AI summary — and whether you actually made it into the frame.

Check overall visibility. Backlinks plus brand mentions. Use Semrush's Backlink Analytics to pull a full backlink profile. The logic is simple: the more people across the web mention you, the more likely AI is to work you in.

Check the sentiment inside AI. Use HubSpot's AI Search Grader. One caveat: it only runs the terms you feed it, so its coverage is limited — but you can keep testing it across different products.

Track the real-money traffic. Build a custom report in GA4 that pulls out AI platforms' traffic, sessions, and conversions, then see which landing pages AI keeps name-dropping month after month.

The hardest one: "the number of mentions inside chat history." There really is no good tool for this yet — you have to test it by hand, engine by engine, asking over and over. It's slow, and AI tools change so fast that whatever you find out today may be stale by tomorrow.

There's No Such Thing as a Free Lunch

GEO has its own four hurdles.

First, AI's bias. AI can only speak from the data it was fed, and if that data is dirty, its answers come out skewed. So your content should draw on diverse sources — don't stake your whole value on a single voice.

Second, ethics. Over-optimizing for rankings, or inventing facts, will be exposed eventually, and the backlash is only a matter of time. Content has to pass the fact-check gate first.

Third, speed. AI changes shape every single day. What you learned today may be obsolete tomorrow.

Fourth, winner-takes-all. Generative engines have a brutal trait: the first one or two answers walk off with nearly all the attention. Top ten? Sorry — the rest barely get a sip of the soup.

So the conclusion is simple: either climb into the handful at the top that actually gets cited, or don't battle this game at all.

Whose Ground Is the Most Urgent?

Not every industry is under the same heat.

The most urgent is B2B. Think about it: procurement managers are already asking AI things like "These suppliers — rank them for me, who's reliable?" If you're not on the list, you don't even have the standing to be compared.

Finance comes second. Checking mortgage rates, weighing investment options, picking insurance — more and more people ask AI first, and only look for you once AI tells the story.

And don't drop the technical bedrock. Structured-data markup and a clean content structure — the bread and butter of old-school SEO — are exactly the foundation under your AI citation rate.

Now step back and look at the bigger picture.

Today, AI conversations still hold just a small slice of the search pie; the big share still belongs to Google. But a few far-sighted people are treating right now as the moment to claim territory.

Will AI answers become the main channel for discovering content? Nobody can say for sure. But I can say this much: if you wait until that day actually arrives to get moving, the cost of entry won't be what it is today.

Back to that coffee machine.

Notice how more and more of the decisions in your life are moving from "look it up" to "ask."

The more people ask, the more power the "shopkeeper" who writes those answers holds.

Whether that shopkeeper calls your brand first has never depended on luck — it depends on the groundwork you lay starting today.

May you, in every answer, be the first one remembered.