Case 1 · B2B industrial manufacturer · exports to the U.S.
~29%
of AI answers about its industry mention it — the most-cited brand in its category, above competitors with decades more history.
ChatGPT 
Perplexity 
Gemini Real cases
Proof that AI does recommend.
Two real clients, presented anonymously because their position inside AI answers is part of their competitive edge. The numbers are theirs; the method is the same one we apply on every project.
The proof · real cases
It works — and it pays for itself.
ChatGPT Perplexity Gemini Case 2 · Electrical hardware manufacturer · Mexico
2,200+visitors every month
60+prospects a month arriving on their own
350+catalogs downloaded
21countries find them
With quote requests landing straight in the sales inbox and a monthly report with their real numbers.
In both cases, the investment was recovered within the first couple of months of operation.
Results from real Eurema clients, presented anonymously. They vary by industry and starting point — they are not a guarantee.
The method
The same thing in both cases.
Different industries, same procedure. None of it is a trick: it's documentation, consistency and a website built so the machine can actually read it.
- 01
The AI-ready website
Custom design, full catalog with images and spec sheets, a form that fires two emails and an FAQ chatbot. Inside: semantic HTML, structured data (schema.org), llms.txt and citable content.
- 02
The external references
Registering and validating the company's data in the sources AI checks to confirm who you are: reviews, industry directories and maps.
- 03
Content month after month
New articles across varied topics plus social posting. It's the signal that the company is alive — and AI recommends whoever is alive.
- 04
Measurement and reporting
Every month, the real numbers: visits, prospects, social reach and email results. What isn't measured can't be corrected.
No case involves buying mentions or any arrangement with the AI platforms. The mentions are organic.
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