You measure your AI visibility. Then what?

Photo by davisuko on Unsplash

There is a logic in the history of digital marketing. It repeats with unsettling regularity. And here we are, again.

With every major novelty — social networks, mobile, content, data — we begin by asking the same question: "Are we there?" We then build tools to measure that presence. Dashboards pile up. And inevitably, we hit the same wall: numbers that rise, and value that does not follow.

GEO does not escape this logic. But this time, the dead end arrives at unprecedented speed.

Act I — The rush for presence

When a new surface for exposure appears, the first reflex is always the same: exist on it. Be seen. Tick the box.

That is how GEO emerged in marketing conversations. "Does my brand appear in ChatGPT?" "Does Google Gemini cite me?" "What is my visibility score in the LLMs?" The questions were legitimate. Urgent, even.

Then the tools bloomed. Every week, a new platform promises to measure your presence in AI answers. Scores. Sector comparisons. Real-time alerts when your brand is mentioned — or when it is not.

The GEO market began exactly as social listening began. With an obsession with the presence KPI.

"Am I visible?" became the central question. And as always with this kind of question, it generated answers... without generating value.

Act II — The dashboard dead end

The problem is not that these tools are useless. The problem is that they answer the wrong question.

Knowing that your brand appears in 34% of AI answers in your category is interesting. But what do you do with that? How do you raise it? And raise it toward what?

We lived this moment with social networks. Millions of euros spent measuring impressions, reach, engagement rates — before the real question emerged: does it sell anything?

We lived this moment with SEO. Years spent optimizing for organic traffic, before realizing that traffic without purchase intent is worth nothing.

We lived this moment with content marketing. Entire libraries produced to "feed the conversion funnel," before understanding that a funnel leaking on every floor is not repaired with more content.

The cycle: New channel → presence KPI → proliferation of tools → value plateau → the "then what?" question → a turn toward business KPIs.

We are exactly at the plateau. And the "then what?" question is starting to be asked.

Act III — Except this time, the dead end is on fire

What makes this cycle different from the earlier ones is the speed at which it plays out — and the stakes that come with it.

Between July 2024 and February 2025, e-commerce traffic from AI engines rose by 1,200% according to Adobe Analytics. This is not a trend. It is a break. And it will not stop.

39% of American consumers have already used generative AI for their online purchases. 53% plan to do so this year. These figures are not optimistic projections: they are behaviors already in place.

Meanwhile, companies are deploying AI agents for their B2B purchasing processes. Prospective employees use AI to look up employers before they even apply. Search habits are changing — and they are not going back.

The question is no longer "is GEO a trend?" It is "will you be ready when your next customer puts their question to an AI?"

And the horizon is drawing closer still. The Universal Commerce Protocol, developed by Google with Walmart, Shopify, Target, and Wayfair, is building the infrastructure that will let AI complete transactions directly, without the user visiting a site. The purchase journey mediated by AI will no longer be marginal. It will become central.

In that environment, staying focused on a presence KPI — "am I mentioned?" — is like counting the impressions of a television ad while your competitors open online stores.

Act IV — The only path worth taking

This cycle has a way out. We have found it every time. Social networks ended up producing conversion indicators. SEO turned toward intent. Content marketing learned to measure its influence on the sales cycle.

GEO has to walk the same path. Faster. Because time is short.

That path runs through a radical change in what we measure:

— From citation frequency to the quality of the recommendation. Does AI recommend your brand in the right contexts, to the right customer profiles, at the right moment in the journey?

— From raw presence to semantic authority. AI does not cite the brands it knows. It cites the brands it understands and judges reliable for a specific need.

— From traffic generated to qualified intent captured. The visitor who arrives from an AI is already in the validation phase. The cost of acquisition falls. Conversion rises. That is what has to be measured.

— From content optimization to the architecture of information. AI does not read: it assembles. What counts is not a well-written article. It is the coherence of the whole corpus.

This turn is not a technical evolution. It is an evolution of culture and of strategy. It means rethinking customer profiles, no longer as static segments, but as dynamic systems of intent. It means aligning the whole company — HR, product, customer service, CSR — around a shared grammar that AI can understand and draw on.

What we believe

We built ResonanceMetrics because we believe GEO is not an extension of SEO. It is a new discipline, and it requires a new infrastructure.

We believe that companies content to measure their presence in LLMs today will fall behind those that are already building the conditions of their authority and of their conversion.

We believe the real question is not "does AI see me?" but "does AI recommend me, to whom, in what context, and does that generate an action?"

We believe the pace at which consumers are adopting AI makes this transformation not urgent, but immediate.

GEO began with a dashboard. It has to end with a revenue line.

That is the work we do with the brands that trust us. Not to measure their visibility. To turn it into value.

Shall we talk? → https://resonancemetrics.com