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GEO: "Am I Visible?" Only Makes Sense If I Know "Where I Want to Be"

Kantar has just announced its Generative Brand Tracking platform.

Antoine HeftlerCo-founder

GEO: "Am I Visible?" Only Makes Sense If I Know "Where I Want to Be"

Kantar has just announced its Generative Brand Tracking platform. A logical step: brands want to understand how they appear in the answers of AI engines.

But the question "am I visible (or authoritative)?" can only bring value once you have answered "for whom, and at what moment, do I want to be visible (or authoritative)?"

The big problem for these platforms is that a SaaS, however capable, cannot work on — or optimize — the constituent elements of marketing, such as how query wording is categorized, the weak signals audiences give off, or the cognitive contexts in which they interact with AI.

That is precisely why these platforms have to be accompanied by a domain expert if they are to deliver their full value... and to give a reliable picture of brand visibility and authority in the era of search engines driven by AI Rethinking personas...

AI engines answer intentions, not segments. The same subject can be taken up in order to reassure oneself, to challenge oneself, or to project oneself forward. Personas therefore have to include: Intention: understanding why the user asks the question.

  • Knowledge of the subject: AI does not answer a layperson the way it answers a specialist - Relationship to the subject: are they involved, distant, curious?
  • Cultural influences: which language, which codes, which implicit references, which regional markers?
  • External context: what economic, social, or emotional climate shapes the query? These elements redefine the way an AI interprets the question — and therefore the probability that the brand appears in the answer. They open a new perimeter: that of active perception, in which the audience becomes co-author of the query. ... then redefine the funnel...

Once perception has been redrawn, the funnel inherits that complexity. Intentions evolve, contradict one another, get reformulated. The journey is no longer linear, but conversational: a succession of back-and-forths in which each exchange with AI changes the prospect's cognitive state.

A lead's maturity is now measured in mental states: curiosity, search for proof, validation, doubt. The funnel becomes the dynamic translation of the intentions identified in the personas. ...rearticulate the brand platform... This new funnel calls for a rereading of the brand platform.

To move from "visible" to "authoritative", you have to guarantee narrative consistency across the spaces of discourse: - internal, where convictions and language take shape, - external, where those narratives meet the market's, - interface, where AI reformulates and ranks the signals.

This interface becomes the brand's center of gravity in the conversational era: it links the intentions that have been identified (personas) to their contextual expression (funnel). ... reconfigure marketing and communications units...

Finally, that consistency demands a structural change. Marketing and communications units have to revisit their scope, their tech stack, and their budget in order to bring AI into the value chain. It is no longer a matter of adding a tool, but of circulating signals — between content, audiences, and AI — in order to strengthen narrative continuity.

This transformation follows directly from the previous sequence: perception → interaction → consistency → organization. ... and at last formalize a prompting protocol Once this operating system is in place, it becomes possible to establish a strict, controlled protocol for creating prompts.

Each test prompt has to be designed from: - the brand platform (tone, values, structuring messages), - enriched personas (intentions and contexts), with their variations according to the map of intentions, contexts, and so on) - and the conversational funnel, adapting the wording to the maturity of leads and to their implicit expectations.

In parallel, mapping the brand and reorganizing the teams will make it possible to act on another lever: sources. They are what feed AI engines and structure their answers.

Optimizing them, making them reliable, making them consistent: that is how you ensure the brand appears not only visible, but legitimate and authoritative. Generative Brand Tracking platforms supply useful indicators, but they cannot resolve what belongs to strategy. Because before you measure visibility, you have to know where, for whom, and in which language you want to exist. The rest — the interface, the dashboards, the metrics — is only a consequence.