SEO & GEO
Clients Say They Found You via ChatGPT? Turn That Luck Into a Strategy
Copy for AI
Apply it right away: test with our AI visibility tool whether ChatGPT already names your brand today on the questions your buyers ask.
It starts with an offhand remark. Your sales team says: “That new lead found us via ChatGPT.” And a little later, again. More and more often, companies hear that prospects discover them in an AI chat instead of via Google. That is not an anecdote, it is a shift. In this article you will read why this happens, why it matters especially in B2B, and how to turn that luck into a purposeful strategy so you get found on ChatGPT.
Why this is not luck
More and more buyers no longer start their search on Google, but in ChatGPT, Perplexity, Gemini or Google AI Overviews. They ask directly for a recommendation: “who is a good supplier for X in Belgium?” and get a single answer with a few names in it. If you are among them, you enter with a head start. If you are not, you simply do not exist in that context.
For B2B this weighs even heavier. A large part of the upfront research already happens before the first sales conversation. By the time a prospect calls you, they often already have a shortlist, and that shortlist has been shaped partly by AI. The buyer who already knows and trusts you before the first contact is by far the easiest to win. You can read the background to this shift in AI search adoption in the Benelux and why SEO is not dead because of AI.
What is GEO, and why do you need it?
The discipline that responds to this is called Generative Engine Optimization, GEO for short. Where SEO puts you in a list of blue links, GEO makes sure you get named in the AI answer itself. It is not about isolated keywords, but about how clearly your brand stands as an entity on the web: who you are, what you stand for, and why you are trustworthy.
AI models build that picture from the entire web: your own site, but also mentions on sources they trust, such as media, comparison sites and communities. A handy check: the same signals Google uses to judge whether content is trustworthy and people-first (experience, expertise, authoritativeness and trustworthiness, or E-E-A-T for short) also steer what AI dares to recommend.
From anecdote to strategy in four steps
If you hear that customers find you via ChatGPT, turn it into a system instead of leaving it to chance. The four steps below together form a cycle you repeat every quarter: measure, make understandable, build authority, adjust. In practice we see that teams who skip step 1 cannot prove later that their effort worked, so always start with the baseline measurement. If you want to develop this into a full plan, follow the GEO strategy: a roadmap in 6 steps.
Visually, this is not a one-off checklist but a recurring loop: each round you measure again, sharpen your entity, strengthen your authority and adjust based on what the numbers show.
| Step | What you do | Goal / output |
|---|---|---|
| 1. Baseline | Test your brand on the questions buyers ask in ChatGPT, Perplexity and Gemini | Baseline of citation rate per model, plus a view of which competitors do get named |
| 2. Make the brand understandable | Consistent facts about who you are, what you do and for whom, on your site and in schema | AI recognizes you as one trustworthy entity instead of scattered fragments |
| 3. Build authority | Presence on the sources AI cites: media, comparison sites, communities | More and better mentions in the answers themselves |
| 4. Measure and adjust | Track citation rate and share of voice per model, link to leads | Insight into what works, and a targeted next action instead of guesswork |
Step 1: map out your baseline
First measure whether, how and where AI models name you today, and where competitors overtake you. Ask the questions the way a buyer asks them (“best supplier for X in Belgium”, “alternative to Y”) and note per model whether you get named and in what position. The common mistake here is testing once on one prompt: answers vary per phrasing and per session, so test a set of ten to twenty realistic questions. Which tools make that scalable, you can read in AI visibility tools.
Step 2: make your brand understandable
Provide consistent, citable information about who you are and what you do, so that AI recognizes you as one trustworthy entity. Concretely that means: the same company name, the same description and the same core facts everywhere, plus content a model can literally take over as an answer. An example: a clear sentence like “Customer Impact is a GEO agency in Belgium that makes B2B companies visible in AI search engines” is easier to cite than a vague slogan. The classic miss is contradictory info on your site, LinkedIn and directories, which leaves the model unsure of who you are. See entity consistency for AI visibility and getting cited by ChatGPT with your content.
Step 3: build authority on the right sources
Presence on the places AI trusts weighs heavily, because a model would rather repeat what it sees on multiple independent sources than what appears only on your own site. So first find out which sources AI cites in B2B and focus your energy there, instead of on any random spot. The common mistake is to put everything on your own blog and expect AI to pick it up. Also see how to benchmark competitors in AI search results to see which sources push them forward.
Step 4: measure and adjust
Track your citation rate and share of voice in AI per model, and link it to leads. Without measurement you do not know whether a rise in mentions also produces more inquiries, and that is ultimately what counts. We steer on leads, not on vanity numbers, so we make the link between mention and pipeline as early as possible. The mistake we see most often: measuring in a tool, but never reporting back to sales to hear who said AI sent them.
Also measure whether you show up in your own numbers
The tool measurement shows whether you get named; your own analytics shows whether that also produces traffic and leads. Look in Google Analytics 4 at referrals from chatgpt.com, perplexity.ai and gemini. Watch out: visitors from the free ChatGPT often land in the direct traffic category instead of as a referral, which makes you underestimate the impact. A separate channel group for AI traffic makes visible what really comes in. The concrete setup steps are in tracking ChatGPT traffic in GA4. That way you see not only that AI brings you leads, but also how many, and whether it is growing.
Common mistakes
Those who are just starting out often run into the same pitfalls. The main ones:
- You test once and draw a conclusion. AI answers fluctuate; only a series of questions across multiple sessions gives a reliable picture.
- You optimize only your own site. AI leans heavily on external sources, so without mentions elsewhere you stay invisible in the answers.
- You confuse presence with results. Getting named is step one; whether it produces leads, you have to measure separately and report back to sales.
- You underestimate your traffic. Without a separate AI channel group in GA4, ChatGPT traffic disappears into “direct” and the effect looks smaller than it is.
A more extensive overview can be found in common GEO mistakes.
Why now, and not next year
Competition in AI answers is still low today. That is changing fast. Whoever builds a clear entity and citable content now builds a lead that is hard to close later, precisely because it cannot be bought with an advertising budget. Why this is a lever specifically for B2B, you can read in GEO for B2B.
Frequently asked questions
How do I know whether customers really find me via ChatGPT?
Combine two sources. Actively ask your sales team whether a lead mentioned AI in the intake call, and check GA4 for traffic from chatgpt.com, perplexity.ai and gemini via a separate AI channel group. The self-reported signals and the numbers together give a more honest picture than either one alone.
Is GEO the same as SEO?
No, but they overlap. SEO aims for a position in the list of links, GEO makes sure you get named in the AI answer itself. Many underlying signals (clear content, authority, a consistent entity) help both, so it is not a choice between the two. More on this in GEO for B2B and why SEO is not dead because of AI.
How fast do I see results?
That depends on your starting point and the competition on your topics. Because AI models lean on sources that are only picked up over time, it is not a matter of days. Whoever starts now, while competition in AI answers is still low, does build a lead that is hard to close.
Our approach: from luck to predictable AI visibility
At Customer Impact we first map how AI sees you today, we make your brand understandable for human and machine, and we build the authority so AI models remember and recommend you. As pioneers in this discipline, we put our lead directly to work for your AI findability. Curious about results? Check out our GEO case studies.
We are a small team, so we move fast and often do more than you expect. Do you also hear that customers find you via ChatGPT? Schedule your free intake and we will look at how to build it out structurally.
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