Adobe today announced a new solution to help businesses ensure their brand is visible, trusted and chosen across all AI surfaces.
Called Adobe Brand Visibility, the product is part of Adobe CX Enterprise, an agentic AI system designed to simplify how businesses manage the customer lifecycle, from prospect acquisition and engagement to conversion and lasting retention.
Using LLMs to identify and research products and services is a significant shift for both marketers and consumers. With this announcement, Adobe also released data highlighting substantial growth in LLM usage. AI traffic to U.S. retail sites jumped 1,324% between October 2024 and May 2026. In the travel industry, AI traffic increased 2,215% during the same period.
“We used to fetch the same thing (a SERP page with links). Now the responses seem random, but they’re not at scale. But businesses don’t have tools to do that,” Loni Stark, vice president of strategy and product at Adobe, told MarTech.
Data-backed brand visibility
Adobe Brand Visibility is the company’s first product for generative engine optimization (GEO) since Adobe acquired Semrush in May. It combines the capabilities of Adobe LLM Optimizer with Semrush’s AI optimization tool. (Third Door Media, which published MarTech, is part of Semrush, an Adobe company.)
Adobe Brand Visibility leverages nearly 300 million real-world AI search prompts (which Adobe says is the largest global database of its kind) to help teams see which prompts they are winning or losing.
When combined with Adobe’s proprietary signals from owned channels, it gives marketers a complete picture of how their brand appears on ChatGPT, Google AI Mode, Microsoft Copilot and Perplexity AI, from mention frequency and audience reach to competitive share of voice and content gaps. AI agents then surface prioritized recommendations, enabling rapid deployment of updates with impact measured directly in the tool.
Adobe Brand Visibility also offers Competitor Brand Comparison, which allows marketers to compare their brand to their competitors, see where they get citations, how often the brand is mentioned, and make historical comparisons of mentions.
It also includes SEO intelligence, as SEO fundamentals play an important role in AI search visibility. Drawing on Semrush data with 28.5 billion keywords and 43 trillion backlinks built over 17 years, SEO intelligence reveals where a brand’s existing search authority is expected to drive AI citations and what content investments will close that gap across both channels in tandem.
There’s still a lot for everyone to learn about how LLMs work and how brands can improve their visibility, but Star is confident that Adobe is in a leadership position in this area.
“Adobe had data. Semrush had data and trends,” she said. “We don’t have all the answers, but we have the best data.”
The position Adobe brings GEO to CX Enterprise with Adobe Brand Visibility appeared first on MarTech.
