Adobe Launches a GEO Tool Built on Semrush Data

Adobe has put a number on a problem most marketers could only describe. Its new Brand Visibility tool measures whether AI engines name your brand, then moves to fix the gaps.

The First Product From the Semrush Deal

The launch is the clearest sign yet of where the Semrush acquisition was heading. Adobe announced Brand Visibility on June 17 at Cannes Lions, calling it a unified solution for generative engine optimization.

The product combines Adobe LLM Optimizer with Semrush AI Optimization. It is Adobe's first GEO release since the Semrush deal closed in May, and it sits inside the broader Adobe CX Enterprise system.

The pitch is that measurement, action, and proof finally live in one place. Search Engine Land reported that the tool surfaces prioritized recommendations, lets teams deploy updates through AI agents, and measures impact without a separate reporting silo.

What It Actually Tracks

The core promise is visibility across the engines buyers now reach for first. The tool tracks naming frequency, audience reach, competitive share of voice, and content gaps across ChatGPT, Google AI Mode, Microsoft Copilot, and Perplexity.

The data underneath is the selling point. Semrush said the platform draws on nearly 300 million real AI search prompts, which Adobe calls the largest global database of its kind.

It also folds in classic search signals. The tool leans on Semrush's corpus of 28.5 billion search terms and 43 trillion backlinks to show where a brand's existing search authority should already be earning AI citations.

That bridge between old and new metrics is the strategic bet. Search authority and answer presence are treated as two sides of the same discovery problem, not separate disciplines.

The Demand Behind the Launch

The urgency comes from a traffic shift Adobe quantified alongside the release. MarTech reported that AI traffic to US retail sites surged 1,324% between October 2024 and May 2026, while travel rose 2,215% over the same window.

Those curves explain why a platform vendor is moving now. When a meaningful share of buyers form opinions inside an AI answer before visiting a site, presence in that answer becomes a pipeline question.

Adobe framed the stakes in plain terms. Loni Stark, the company's vice president of strategy and product, told MediaPost that Semrush brought in trusted data on the prompts people actually search, which can inform reliable benchmarks.

Why a Measurable KPI Changes the Game

For two years, AI answer presence was hard to defend in a budget meeting. Classic search had rankings, impressions, and clicks, while GEO offered mostly anecdotes.

That asymmetry kept the work in the experimental column. CMSWire noted that brand shortlisting is increasingly happening inside AI answers rather than on the open web, which raises the cost of being absent.

A vendor of Adobe's scale defining naming frequency and share of voice as standard metrics does something subtle. It gives marketing leaders a vocabulary they can put in a plan and a number they can move.

The tool also connects to a wider infrastructure shift, with Google doubling its AI serving capacity on a rapid cadence to keep up with answer demand. The surfaces being measured are themselves scaling fast.

What Operators Should Do Now

The platform is enterprise grade, but the discipline is not gated behind it. Any team can start by listing the high intent prompts prospects ask and running them through the major engines to see who gets named.

The structured fundamentals still carry weight. Tools like Semrush already expose much of the search term and backlink signal that feeds AI citations, so the build on top is prompt aware content rather than a fresh start.

The deeper takeaway is a reframing of the goal. The job is no longer only to rank beneath an answer but to be the source quoted inside it.

Adobe has made that goal countable. Whether teams adopt this specific tool or not, the direction is set, because GEO just acquired the one thing it was missing, a metric leaders can be held to.