AI visibility
The engineer who used to search Google now asks an AI which suppliers to consider. If you are not in that answer, you are not in the comparison.
What we do
In industrial purchasing, the first filter is no longer always Google. An engineer asks an AI for a short list of suppliers for a specific specification, and that list shapes the entire comparison that follows.
We measure first what generative engines say today about your category, your product and your competitors. That is your real starting point, and it is usually revealing.
Then we work on brand entity, structured product data and answer-shaped content, which is what these models cite.
What the engines say about you and your competitors.
Making sure the AI knows what you make, for what and where.
Complete structured data across the whole catalogue.
Specifications and comparisons in answer-ready format.
Technical directories and sector publications.
Evolution of mentions per engine and query.
A set of technical queries run on each engine.
Entity, schema and data consistency.
Pieces designed to be cited.
Mentions report and adjustment.
Industry & B2B
Disproquima
We redesigned the architecture so every product family had its own indexable entity, with datasheets legible to both the engineer and the buyer.
Food
Norel
A multilingual international site structured by species and product line, so the vet and the procurement lead find what they need in two clicks.
Logistics
Grupamar
A corporate site with services ordered by customer need rather than internal org chart, plus branches, a client area and online tools.
Increasingly, for the exploration phase: what technologies exist, which suppliers are out there, what to ask. The final decision is still human and technical, but the shortlist forms earlier than that, and that is where it is won or lost.
Yes. We define a set of queries —the ones your buyer would actually ask— and run them periodically on each engine, logging whether you appear, with which product and in what context. It is not an exact ranking, but the trend is very clear.
It shares a foundation, but the selection criteria change. Google chooses which link to show; an AI chooses who to cite within an answer. That rewards data clarity and consistency across sources over link authority.
In technical B2B, yes: it is where the effect has shown up earliest, because the buyer researches extensively before making contact. And the competition is not working on it yet.
We review your catalogue, your technical site, your search and AI visibility, and how you reach the specifier. Prioritised report, no obligation.