A decision based on figures
The size of demand, its trend over two years and its seasonality, measured on real searches.
Market study
Before launching an offer, opening a country or rebuilding your site, you know how many people search for what you sell, how they phrase it, what a click costs and who already holds the ground. Tens of thousands of searches are analysed in bulk, in every language, place and topic of your offer.
The size of demand, its trend over two years and its seasonality, measured on real searches.
You know how your customers describe their need, on Google as in AI tools. Your offer and your site speak their language.
Who ranks on these searches, who buys advertising, and where there is still room to take.
The cost of a click on each search gives you a realistic order of magnitude for launching.
We set with you the market, the language and the question to settle.
We record the searches, their volumes, their costs and the competitors.
We group the searches by intent and identify the room to take.
We present the summary and hand over all the data.
Tens of thousands of searches, rankings and AI answers read automatically, for every country, city, language and topic of your services and products.
Several AI models group this data by intent, spot opportunities and filter out noise. What a team would take weeks to read is sorted in a few hours.
A specialist reads the result, settles the priorities and sets the strategy with you. AI prepares, people decide.
Pages, campaigns, replies and reports come out of automated pipelines, checked by sample before publication, then measured every week to adjust course.
From Google data and specialised providers, cross-checked against each other. A volume is an order of magnitude, and we present it as such.
Yes: we record how AI tools answer the key questions of your market and which brands they cite.
You keep everything. If you then launch your pages or campaigns with us, we start from this base.
Go further on this topic
What actually gets a site cited by ChatGPT, Claude or Perplexity: let the bots read it, answer straight away, source every fact, mark up only what is shown. And how to measure it without fooling yourself.
Hreflang pointing to pages that do not exist, a poorly chosen x-default, 404s in the wrong language, untranslated titles, a language routed but forgotten elsewhere: the mistakes we found on multilingual sites we operate, and how to avoid them.
The llms.txt file promises to help AI read your site. What the proposal says, what can be verified about real usage, what Google, OpenAI and Anthropic say about it, and why we publish one anyway.
20-minute diagnostic
We look at your situation, identify what can be automated or improved, and tell you plainly whether we can help.