Adobe today announced a new solution to help businesses ensure their branding is visible, trusted and trusted across all AI surfaces.
Called Adobe Brand Visibility, the product is part of Adobe CX Enterprise, an artificial intelligence system created to simplify how companies manage the customer lifecycle, from prospect acquisition and engagement to conversion and lasting loyalty.
Using LLMs to identify and research products and services represents a significant change for both marketers and consumers. With the announcement, Adobe also released data highlighting substantial growth in LLM usage. AI traffic to US retail sites increased 1,324% between October 2024 and May 2026. In the travel industry, AI traffic increased 2,215% over the same period.
“We used to get the same thing (a SERP page with links). Now, the responses seem to be random, but they’re not at scale. But companies don’t have the tools to do that,” Loni Stark, Adobe’s vice president of strategy and product, told MarTech.
Data-backed brand visibility
Adobe Brand Visibility is the company’s first generative engine optimization (GEO) product since Adobe acquired Semrush in May. Combines the features 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 relies on 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 are winning or losing.
When combined with Adobe’s proprietary signals from proprietary channels, it gives marketers a complete picture of how their brand appears across 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, allowing updates to be deployed quickly with the impact measured directly in the tool.
Adobe Brand Visibility also offers a competitive brand comparison, which allows marketers to compare their brand to those of the competition, to see where they get mentions, how often the brand is mentioned, and conduct historical comparisons of mentions.
It also includes SEO intelligence, because SEO fundamentals play an important role in AI search visibility. Based 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 should drive AI citations and what content investments will close this 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 positioned to lead in this space.
“Adobe had data. Semrush had data and trends,” he said. “We don’t have all the answers, but we have the best data.”
