
The snapshot first: what Google and the AIs say about you, and who appears in your place. Then the plan to build the reputation that is missing.
Digital reputation now lives on two surfaces. The first is the classic one: Google results on your name, news, reviews. The second is new and growing every month: the answers ChatGPT, Gemini and Perplexity give when a customer asks about you or your industry. Do you appear? With which information? Who gets cited in your place? Almost no company has ever read this balance sheet. We measure it with proprietary technology, monitor it over time and work on the sources that determine it.
Digital reputation: what we do
Measuring algorithmic reputation
Share of answer, citations per engine, sources.
With our proprietary technology we photograph what ChatGPT, Gemini and Perplexity answer on the questions that matter for your business: whether you appear, how you are described, who occupies the space that should be yours and which sources the answer is built from. It is the starting point of every intervention.
Continuous monitoring, web and AI
Reputation is watched, not checked once.
Brand search results, news, reviews and AI answers, observed over time with alerts on changes: an answer that worsens, a new source entering, a negative piece climbing. Every variation arrives with its context, before it becomes a problem.
Building reputation on the web
Digital PR, authoritative sources, content that answers.
Reputation is built where engines and AIs draw from: authoritative media, industry sources, proprietary content that answers real questions. We map the sources that carry weight in your market and work to put your name there, with the right information.
Digital PR
The right sources talking about you.
We cultivate relationships with media, journalists and creators to build authoritative brand coverage: mentions on the sources search engines and AI consider trustworthy are the building block of algorithmic reputation.
Reputation in AI answers
Cited, described correctly, consistent everywhere.
AIs cross-check sources: if they find three different versions of you, they trust none. We work on information consistency (website, profiles, listings, structured data) and on correcting the inaccuracies generative engines repeat, by intervening on the sources they learn them from.
Risk prevention and management
Weak signals read before the crisis.
A negative piece climbing the rankings, reviews gathering critical mass, a sensitive topic growing: monitoring exists to intervene while the problem is small. And when a crisis does happen, the plan on sources and content is already in place, not to be invented.
How we work on reputation
Initial snapshot
We measure your presence on both surfaces: web results on the brand and AI answers on your market's questions. The output is your reputational balance sheet: what is there, what is missing, what is wrong, who occupies your space.
Plan on sources and content
Interventions ordered by impact: the sources to win, the information to correct, the content to produce, the inconsistencies to fix. With clear ownership and timing.
Watch and measure over time
Continuous monitoring verifies the effect of the interventions: share of answer, citations, evolution of brand results. Reputation is judged on the trajectory, not on a single snapshot.
The technology we use
The platform that measures AI citations
We built a proprietary platform that monitors where and how much a brand is cited by generative engines: share of answer, citations per engine, evolution over time, the sources behind the answers. It is the continuous snapshot of algorithmic reputation, and the compass of every intervention.

Do you know what the AIs say about you?
Tell us about your brand and your market. We reply within one business day with a first reading of your presence in AI answers.
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