Adobe launches Brand Visibility to optimize AI search presence
Adobe has introduced Adobe Brand Visibility, a solution integrating Semrush data to optimize brand presence across AI platforms like ChatGPT and Copilot. It offers insights from 300 million AI search prompts and auto-optimization features to boost engagement and revenue.

*this image is generated using AI for illustrative purposes only.
Adobe has announced Adobe Brand Visibility, a unified solution designed to help businesses ensure their brand is visible, trusted, and chosen across AI search platforms. The new offering integrates Semrush's AI visibility intelligence with Adobe's agentic content optimization capabilities, providing a closed-loop system to enhance digital experiences for both humans and AI agents. This solution is part of Adobe CX Enterprise, an end-to-end agentic AI system for managing the customer lifecycle.
The launch addresses the rapid growth of AI-powered chat services and browsers as primary discovery tools. Adobe data indicates that AI traffic to U.S. retail sites surged 1,324% between October 2024 and May 2026, while the travel sector saw a 2,215% increase in AI traffic during the same period. Adobe Brand Visibility enables marketers to access nearly 300 million real-world AI search prompts, audience reach data, and competitive share-of-voice insights across platforms such as ChatGPT, Google AI Mode, Microsoft Copilot, and Perplexity AI.
"In a world where customers often interact with an AI tool before ever reaching a business's website, visibility is everything now," said Anil Chakravarthy, President, Customer Experience Orchestration Business, Adobe. "Adobe has helped brands navigate and get chosen in every wave of marketing transformation, and Adobe Brand Visibility now provides a comprehensive solution for teams to expand their company's influence across AI surfaces."
Key Features and Capabilities
Adobe Brand Visibility combines the capabilities of Adobe LLM Optimizer with Semrush's AI Optimization to offer Generative Engine Optimization (GEO). The solution leverages Semrush's SEO corpus, which includes 28.5 billion keywords and 43 trillion backlinks built over 17 years, to identify where existing search authority can drive AI citations.
| Feature | Description |
|---|---|
| Visibility insights | Comprehensive overview of brand presence across AI surfaces, including mention frequency and audience reach. |
| Prompt strategy | Identifies gaining topics and prompts to optimize for, highlighting areas where competitors are capturing share of voice. |
| Competitive comparison | Allows marketers to compare brand citations and mentions against competitors with historical data. |
| Auto-optimization | Surfaces prioritized recommendations and deploys optimizations in minutes to update brand narratives for AI agents. |
| SEO intelligence | Utilizes Semrush's data to reveal where search authority should drive AI citations and content investments. |
Integration and Availability
The solution functions as a standalone application or as a native integration with Adobe Experience Manager. This integration ensures brands can optimize for both human and AI audiences across their entire content foundation, including web experiences, campaign content, digital assets, and commerce catalogs. The system creates a continuous operating model where brands can sense their appearance across AI-driven discovery surfaces, generate grounded content, and continuously learn from interactions to improve performance.
How will the rise of Generative Engine Optimization (GEO) reshape traditional SEO budget allocations and strategies for major enterprises?
What are the potential privacy and copyright implications for brands as AI agents scrape and utilize their proprietary data to train search models?
How might Google and OpenAI react to third-party tools attempting to optimize content for their specific AI algorithms?





























