In B2B, provider research increasingly starts in chat. Whoever is not named there will not be on the shortlist later either, no matter how good the offering is.
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From your prospects' research question to an answer that holds up.
We clarify which questions start the search for a provider like you. Those are rarely product names, usually problems, requirements or comparisons.
I test those questions across several AI systems and document who gets named, with what reasoning and based on which sources.
Often it fails because nowhere does a single sentence state what you solve and for whom. We establish that clarity, on the website and in the sources beyond it.
References, numbers, technical articles and third-party mentions give a model the basis to recommend you with confidence.
The same questions at fixed intervals. That shows whether you get named more often and for which questions you are still missing.
Wherever a decision starts with research.
Technical requirements lend themselves particularly well to AI research, because they can be stated clearly. Anyone providing their specifications machine readably gets named considerably more often.
AI research is most widespread here. Questions about alternatives and comparisons are part of the standard routine before anyone even requests a demo.
With services there are no datasheets for a model to hold on to. That makes traceable expertise, references and named outcomes count all the more.
Pick an area to see what it actually involves.
I collect the questions that really start a provider search in your market and test them systematically. The result shows who is on the list today and who is not.
A surprising number of B2B sites never clearly answer what they solve and for whom. For people that is annoying, for a model it is a knockout criterion.
Comparison and alternatives questions are the most common entry point in B2B. Anyone providing honest content on them appears in the answers instead of leaving them to others.
A model is reluctant to repeat what it cannot back up. Numbers, references with outcomes and traceable case examples are therefore worth more than any self-description.
Your company has to be recognisable as a distinct thing, linked to topics, people and services. Otherwise it gets confused with similar-sounding providers.
In B2B authority comes from technical articles, not from reach. Content that answers a question completely and with evidence becomes the source a model draws from.
What others write about you weighs more with a model than your own website. Trade publications, associations, partners and comparison sites are the relevant places here.
The answers from models change constantly, without warning. That is why the same research questions get repeated regularly and the development recorded.
Through the A/B tests and optimizations we increased our conversion rate by 23%. The collaboration was structured and results-driven.
Richard supported us strongly with SEO and A/B testing. For some of our products we achieved a 13% conversion uplift while making performance more stable.
Great work. Richard supported us with various SEO perspectives, including AI Search. I can recommend him without reservation.
Häufige Fragen
Increasingly yes, above all at the start, when the point is to get a list of possible providers at all. The decision still happens in conversation. What matters is that you appear on that first list, because whoever is missing there is rarely found later.
B2B SEO aims at your pages being found in Google. B2B GEO aims at an AI naming your company as a solution, even without anyone visiting your site. The editorial basis overlaps, the measurement is different, see B2B SEO.
Through fixed research questions rather than volume. For each of them I document whether and how you get named. With twenty relevant questions that is more meaningful than any reach figure, because each question can represent a real procurement process.
It gets harder, but it is not impossible. If client names cannot be mentioned, anonymised case examples with concrete numbers, technical articles and a nameable methodology help. What matters is that there is something verifiable at all.
In B2B more than in consumer business, because a single deal is worth so much. If one mention leads to an enquiry that turns into a five-figure project, the effort has already paid off. On top of that, in most B2B markets nobody is doing anything in this direction yet.
That depends on how many research questions are relevant and how much editorial work is needed. A one-off status check with prompt tests is considerably smaller than ongoing support. The best start is to see what the models currently say about you.
GEO stands for Generative Engine Optimization: optimizing to be recommended in AI answers from ChatGPT, Perplexity and Google AI. Here is how it works.
GEO & AI SearchHow your brand gets recommended as a source in ChatGPT and Perplexity: clear facts, strong entities, trust signals and clean technology.
GEO & AI SearchA practical GEO checklist: in 8 steps, make your brand visible as a source in ChatGPT, Perplexity and Google AI Overviews. Ready to work through.
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Tell me what you offer and to whom. I will test a few real research questions and tell you who gets named today.
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