A new Adobe platform now uses Semrush data to help brands track and improve their visibility in AI-driven search. The tool connects content optimization to measurable business outcomes.
Adobe has introduced "Adobe Brand Visibility," a generative engine optimization platform designed to help brands monitor and enhance their presence in AI-powered search environments. The platform, part of Adobe CX Enterprise, integrates Semrush data following Adobe's acquisition of the company in April. This move aims to provide brands with more reliable data on real user prompts and search behaviors, supporting efforts to improve how content is discovered and cited by AI search engines and large language models.
According to Adobe, the platform addresses a key challenge in generative engine optimization: the lack of mature measurement tools for tracking AI search visibility. "Adobe Brand Visibility" automatically monitors brand mentions, audience reach, competitor strategies, and content gaps across a wide range of services. AI agents within the platform generate prioritized recommendations, and updates can be implemented quickly, with their impact measured directly in the tool.
The platform connects each optimization action to bookings, customer journeys, and revenue through integrations with Adobe’s analytics solutions. While Adobe has long provided data on website interactions, the addition of Semrush data offers insight into what consumers actually query in AI chatbots, giving brands a clearer picture of their visibility in AI-driven channels. Early adopters, such as GM, are already using the product to understand how AI agents describe their brand.
Recent Adobe data shows a dramatic increase in AI-driven traffic: U.S. retail sites saw a 1,324% rise between October 2024 and May 2026, while travel sector traffic grew by 2,215% in the same period. The platform combines the Adobe LLM Optimizer with Semrush’s AI Optimization, leveraging 28.5 billion keywords and 43 trillion backlinks collected over 17 years. This helps brands identify where their search authority drives AI citations and where to invest in content to close gaps across platforms like ChatGPT, Google AI Mode, Microsoft Copilot, and Perplexity AI.
Adobe is also working to help brands create agent-friendly versions of their websites, ensuring content remains discoverable and readable by AI systems without altering the human-facing experience. Loni Stark, vice president of product and strategy at Adobe, said the company will continue investing in the platform to expand its data integration capabilities.
Other publishers are also moving to leverage AI for advertising and audience targeting, as seen when Hearst Magazines introduced its AURA IQ platform to deliver predictive campaign solutions using first-party data. More details on that initiative can be found in this report on Hearst Magazines' AI-powered ad strategy.
