1. Introduction — the moment where it all plays out... without you realizing it
You type a question into ChatGPT, something very standard like:
“what tool should I use to improve my SEO visibility?”
The answer arrives. Clean, structured, well-argued. And above all, there's a detail that should bother you: it's always the same names that come up. Always. You can rephrase, clarify, complicate... the variations are minimal.
It's not a bias. It's not a coincidence either.
It's just that certain players are already integrated into the AI recommendation layer... and the others, even if they're good, even if they're relevant, completely slip through the cracks. Invisible.
And there, there's a reality you have to accept without beating around the bush:
→ GEO doesn't play on visibility, it plays on decision.
Before, you could compensate for a bad position with content, retargeting, a good funnel. Today, if you're not in the answer, you don't even enter the user's reflection.
That's what's changing. And that's why GEO has become a business issue, not a marketing issue.
2. GEO = new acquisition channel (but not how you imagine)
We tend to apply old SEO reflexes to GEO. Bad idea.
SEO was simple to understand:
→ you capture traffic
→ you optimize the click
→ you convert afterwards
GEO is more diffuse, but paradoxically more direct in its impact.
→ you're present in an answer
→ you're perceived as a credible option
→ you influence a choice... often without a click
And that's where many miss the mark. Because they keep looking at their dashboards thinking: "I don't see any impact".
Normal. You're looking in the wrong place.
In GEO, visibility isn't made to generate immediate traffic. It serves to guide a decision.
And honestly, a well-placed recommendation in an AI response can be worth much more than a click in position 1 on Google. Because there's no longer competition displayed around it. You're not compared to 10 links. You're integrated into a summary.
→ And in a summary, there's no room for everyone.
Concrete example
Imagine a freelancer looking for:
“what tool to analyze visibility in ChatGPT”
They won't open 10 tabs. They'll read the answer. And in that answer, they'll see 3 or 4 tools. Those become their immediate options.
What's interesting is that they don't even need to click to be influenced. They can simply remember a name, type it later, or even talk about it to someone.
If your tool is in the answer:
→ you're in the game
If you're not there:
→ you haven't even played
3. Business models most impacted
All businesses are concerned, but not with the same intensity. Some are already taking the full shock, others don't see it coming yet.
a) E-commerce — the product sheet trap
E-commerce is probably the sector where there's the biggest gap between what's being done... and what actually works.
The typical reflex is to work on your product sheets, your categories, your filters. It's logical, it's always been the core of e-commerce SEO.
Except AI doesn't work like Google.
They look for content that explains, compares, contextualizes. Not pages that sell directly.
Result:
→ your product sheets are very rarely used in answers.
Very concrete example
You take a query like:
“which security camera should I choose for a home”
Answers will rely on:
→ buying guides
→ comparisons
→ editorial content
Not on product pages.
So if your site only offers transactional content, you're mechanically excluded from the recommendation layer.
And behind that, someone else captures attention, influences choice... and potentially gets the sale.
What you need to understand
→ it's not the one who sells who wins
→ it's the one who clarifies the decision
If you want to dig into this seriously, you should look at the GEO e-commerce logic, because it requires real strategy adaptation.
b) SaaS — where it becomes almost unfair
SaaS is probably the model most advantaged by GEO.
Why? Because the queries are already formulated in a way that's usable by AI.
→ "what tool to generate leads"
→ "best software to manage invoices"
→ "alternative to X"
These are decision queries, not exploration queries.
And AI loves that.
What actually happens
The user asks a question.
The AI responds with 3 to 5 tools.
These tools become the shortlist.
Everything else disappears.
Opinion (and it's intentional)
→ if your SaaS isn't cited in these answers, you're already losing market share.
Not tomorrow. Not in 2 years. Now.
Simply, you don't see it yet in your numbers because the impact is indirect.
Real-world example
A marketing manager looks for a tool to automate campaigns. They read an answer, see 4 names, remember 2. They'll then search for them on Google.
In Google Analytics, you see:
→ branded traffic
→ direct acquisition
But the real source is GEO.
To go deeper, the topic is much more complex on the GEO SaaS side, especially on how to position yourself in these answers.
c) Agencies / consultants — the shift toward recommendation
For an agency or consultant, GEO changes the nature of the game.
Before, you had to be visible.
Now, you have to be recommendable.
It's not the same thing.
Typical situation
Someone asks:
“who can help me improve my technical SEO”
The AI can respond by citing types of profiles... or directly specific players.
And there, something very powerful happens:
→ you're recommended without pitching
→ you're credibilized without proving
→ you're shortlisted without being compared
Concrete example
Two agencies with equivalent levels.
→ one is cited in AI responses
→ the other isn't
The first will capture:
→ more qualified leads
→ faster
→ with less friction
The second will continue fighting over:
→ traditional SEO
→ prospecting
→ RFPs
→ It's not just a difference in visibility. It's a difference in position in the decision chain.
And that's exactly what the GEO agencies topic covers.
d) Local — discreet today, obvious tomorrow
Local is still a bit under the radar, but that won't last.
Today, we're used to going through Google Maps, reviews, local listings. But AI is already starting to offer contextualized recommendations.
Simple case
“good plumber in Lyon”
The AI can synthesize:
→ types of service providers
→ selection criteria
→ and sometimes propose names directly
What this implies
→ less navigation
→ less manual comparison
→ more trust in the answer
And therefore:
→ more importance in being integrated into that answer
The topic is still underexploited, but it will become structural: GEO local.
4. Converting GEO to revenue — the real mechanics
This is probably the least understood part.
Because we're looking for a direct link between visibility and conversion. And in GEO, this link is rarely visible immediately.
The real journey
→ you're cited in an answer
→ you become a credible option
→ the user remembers your name
→ they search for you later
→ they convert
What causes confusion
In your tools:
→ you don't see the source
→ you see direct traffic
→ or branded search
But the initial influence is elsewhere.
Concrete example
A user sees your tool in ChatGPT with a clear explanation.
They don't click. They don't do anything right away.
Two hours later:
→ they type your name
→ they visit your site
→ they sign up
In your CRM:
→ incoming lead
In your analytics:
→ direct traffic
But in reality:
→ it's GEO.
What you really need to optimize
→ your presence in answers
→ the clarity of your positioning
→ the memorability of your name
Because if your name is complicated, vague or interchangeable...
→ you lose part of the effect
Key difference with SEO
SEO:
→ you optimize to be clicked
GEO:
→ you optimize to be remembered and chosen
5. Common business mistakes
They're frequent, and often invisible.
Thinking only in traffic
It's reflex number one.
“how many visitors do I have?”
When the real question is:
→ “am I being recommended?”
Ignoring AI
Some still think it's marginal.
It's an analysis error.
It's not yet dominant, but it's already structural in certain journeys.
Producing unusable content
Content that's too marketing, too vague, too shallow.
AI doesn't know what to do with it.
So it ignores it.
Not measuring
You don't test.
You don't verify.
You don't compare.
→ You miss it without knowing.
Opinion
→ a large part of players don't see GEO coming... because they're still looking at traditional SEO KPIs.
6. Practical advice (what really makes the difference)
No need to complicate things.
✓ identify your high-impact queries
→ the ones that trigger a decision
✓ test your presence in AI
→ and not just once, regularly
✓ optimize your key content
→ not your entire site, just strategic pages
✓ create answer-oriented content
→ clear, structured, usable
✓ track cited players
→ understand why them, and not you
→ That's where you find the real levers.
7. Conclusion — straightforward, without dramatization
GEO isn't an extra marketing layer. It's not an experimental channel you can test "when you have time". It's already a lever that influences decisions, often upstream, sometimes invisibly, but with very real effects on the business.
What's a bit tricky is that the impact isn't obvious. It doesn't jump out of a dashboard, it's not as easy to measure as a click or conversion. And so many miss it, not because they don't know how to do it, but because they're not looking in the right place.
Meanwhile, certain players are quietly settling into answers, taking up space, becoming references through repetition. It's not spectacular, but it's effective. And the longer it goes on, the wider the gap becomes.
There's nothing inevitable about this, but there's a simple reality: if you want to capture part of the demand, you have to be present where decisions start forming. Today, that's increasingly in AI responses.