Your customers are asking AI who to buy from.
Make sure you're part of the answer.
More buying decisions now start with ChatGPT, Gemini, Perplexity and Google's AI results. Someone asks — and AI gives them an answer. Sometimes it mentions your brand. Sometimes it recommends it! Sometimes your competitor. Maybe it has never heard of you. Citehelm finds out why — and changes the odds in your favour.
We measure whether assistants like ChatGPT, Claude, Gemini, Copilot, Perplexity and Google's AI mention your brand and products in the conversations that matter, which sources they cite, and whether the context is positive or negative.
“Who makes custom glass reactors for pilot plants?”
“What's the best industrial IoT partner in Hungary?”
“Which German suppliers can build this to specification?”
…and AI is answering with somebody's name.
AI search has changed the game.
Google gave people a list of links. AI gives them an answer. That sounds like a small change. It isn't.
Your potential customer can now research a market, compare suppliers, build a shortlist and decide who looks credible without ever reaching your website. So ranking well on Google is no longer the whole job. You also need to be understood, trusted and recommended by AI.
That's what Generative Engine Optimization — GEO — is about.
So how does a company get into an AI answer?
AI doesn't magically “know” which companies are best. When it needs current information, it searches. It reads websites. It looks at reviews, directories, articles, forums, technical documentation and other sources it trusts. Then it puts the pieces together into an answer.
That gives us something we can work with. We can see:
what questions your customers are asking → who AI recommends → which sources influenced the answer → what your competitors have that you don't.
Then we start closing the gaps.
First we measure. Then we fix.
Find the questions that matter
Not SEO keywords. Real questions a buyer might ask when researching a problem, comparing suppliers or deciding who to contact. “Which companies manufacture custom borosilicate reactors in Europe?” is much more useful to us than “glass reactor manufacturer”.
See what AI actually says
We ask those questions across the major AI platforms. Do you appear? Which competitors appear? Who gets recommended first? What does AI say about you? And, crucially: where did that information come from?
Work backwards from the answer
If three AI systems keep recommending Competitor X, we don't just shrug and write another blog post. We investigate why. Maybe their product pages explain the use case better. Maybe an industry directory keeps mentioning them. Maybe AI can crawl their site properly and yours is partly invisible. The answer tells us where to look.
Fix what is actually missing
That could mean rewriting an important product page. Creating a comparison or technical guide. Making your expertise easier for AI to extract. Fixing crawlability or structured data. Getting accurate information about your company onto third-party sources that AI already trusts. Usually it's a combination.
Check what changed
We run the same buyer questions again and compare the answers with where we started. Are you showing up more often? Is AI recommending your company, rather than just mentioning it? Does it describe what you do accurately? We repeat the tests to see whether improvements hold up. One good answer is encouraging. We're looking for a pattern.
No magic. No “secret GEO hack.” Just measurement → action → measurement. Read the full methodology →
Three ways to start.
Snapshot
Are you showing up at all? We test real buyer questions across major AI engines and check whether those systems can properly access your website. You get a short, clear answer: where do you appear, who appears instead — and is there an obvious reason why? A good first look before committing to anything bigger.
AI Visibility Audit
See the whole playing field. We go much deeper: more questions, more competitors, more AI engines and a full investigation of the sources behind the answers. You see where you're winning, where you're invisible and what we believe needs to change. Then we turn that into a prioritized action plan.
Optimisation
Want us to fix it too? We take the audit and do the work. Content. Technical fixes. Source building. Testing. Measurement. Then we keep watching the important questions to see whether the changes stick.
Does any of this actually work?
We don't think a GEO consultancy should answer that question with a theory. So we've been testing it. Across our first three pilot companies, we've measured more than 1,400 AI answers across four engines and three languages.
And we've started seeing something much more useful than “AI traffic went up”: specific content we created appearing as a source for specific commercial questions.
- For a laboratory-equipment company, articles we created are now cited when engineers ask AI about custom glass reactors, chemical resistance and difficult reactor configurations.
- For an industrial IoT company, technical content is appearing when engineers ask about smart-meter upgrades and cybersecurity requirements.
- For a Hungarian interior-design business, content created around real homeowner questions is appearing in AI answers about renovation decisions.
That's the result we're interested in. Not “we optimized your website for AI.” We changed what AI finds when somebody asks a question that matters to your business.
AI visibility in languages we actually speak.
English, Hungarian and Brazilian Portuguese. We focus on these languages for a practical reason: we can personally assess the work, not just accept what a translation tool gives us.
Our founder is Hungarian, speaks fluent English and spent more than ten years living in Brazil. That experience matters when reviewing the questions we test, the answers AI gives and the content we create. Does the wording sound natural? Does it explain your offer clearly? Has anything important been lost in translation? These are checks we make ourselves.
We also run German-market work — it is where much of our measurement happens today. The testing works the same way in any language; German text is reviewed by native speakers on the client side before anything is published, and we tell you plainly which checks we make ourselves and which we delegate.
You might be reaching customers at home or selling abroad. Either way, we work on your AI visibility in the language those customers use — with someone who understands that language reviewing the work.
What we will not promise.
AI answers change from run to run, and nobody controls them. We will not promise you a citation, a recommendation or a number. What we promise is the work: a documented starting point, targeted changes, and repeated measurement that shows — honestly — what moved and what didn't. That discipline is the methodology →