Customers who find you
Your future customers are already searching for what you do. The engine targets these searches one by one so that it is your site that answers, not a competitor’s.
SEO and GEO
Your site becomes a source of customers: it climbs in Google and is cited when people put the question to ChatGPT, Perplexity or AI Overviews. You keep your expertise, we turn it into content published every month, and nothing goes out without your review.
Your future customers are already searching for what you do. The engine targets these searches one by one so that it is your site that answers, not a competitor’s.
When your prospects put their question to an AI rather than to Google, your content is written to be cited: a direct answer, sourced facts.
We prepare the drafts, you review and approve. Your team shares what it knows without having to write itself.
Your Search Console is scanned every day: a slipping page, a title to fix or a search to seize is spotted before it costs you traffic.
No mass-generated pages: little content, but good and reviewed by a human. What carries your name stays accurate.
Every month, a clear report: what was published and why, your rankings, and your citations in generative engines.
We record your starting point and how you publish today: the tool behind your site, what connects to it, who will review on your side. Then we set the searches to target with you.
We fix what is holding your site back before writing anything.
Every week, you receive drafts to review, then they are published.
Every month, you see what has improved and what comes next.
Two to four reviewed pieces a month, which are worth more than twenty generated pages. We start with the searches that can bring you the most.
Yes, twice over: AI engines cite the sources they consider reliable, and those are the ones doing good SEO. The format changes, the value remains.
Search rankings are counted in months, and the first measurable signals take several months. We would rather tell you so frankly than promise figures within a few weeks.
Both. Every day, a scan without AI reads your Search Console and draws up the list of work. Every week, a pass hands it to four agents: keywords, technical checks on a sample of pages, writing, and refreshing pages that slip. Each one works in a loop: it acts, looks at the result and decides on the next step, until it reaches the goal. Guardrails bound the pass: two new pieces at most, automated checks on everything that touches the site, and drafts only, which you review before publication.
Because each task does not need the same one, and the price follows the model. The daily scan calls no AI at all. After that, each task goes to the cheapest model that does it well: a small model sorts the queries, an economical model writes the satellite articles in batches, a stronger model writes your pillar pages, and a judge reviews samples. An answer already obtained is reused instead of paid for again: on Palmora Property, 95% of translation segments come out of the cache without calling the model again.
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.