Adobe Brand Visibility launches to help brands win in AI search era as traffic surges 1,324%

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Adobe unveiled Brand Visibility, a comprehensive solution designed to help businesses maintain presence across AI-powered search platforms like ChatGPT, Google AI Mode, and Microsoft Copilot. The launch comes as AI traffic to U.S. retail sites surged 1,324% between October 2024 and May 2026, with travel sector traffic up 2,215% in the same period.

Adobe Brand Visibility enters the AI search battleground

Adobe announced Adobe Brand Visibility, a new solution designed to help businesses maintain presence across AI surfaces as consumer behavior shifts toward AI-powered search platforms . The offering forms part of Adobe CX Enterprise, an end-to-end agentic AI system that manages the entire customer lifecycle from prospect acquisition through conversion and loyalty

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. The timing reflects a dramatic transformation in how consumers discover products and services, with audiences increasingly turning to AI-powered chat services and browsers to evaluate offerings before ever visiting a company website.

Source: CXOToday

Source: CXOToday

AI traffic surge creates new marketing imperative

New data from Adobe reveals the scale of this shift. AI traffic to U.S. retail sites surged 1,324% between October 2024 and May 2026, while the travel sector saw AI traffic climb 2,215% during the same period . "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 of Customer Experience Orchestration Business at Adobe. He emphasized that Adobe Brand Visibility provides a comprehensive solution for teams to expand their company's influence across AI surfaces, noting that early customer demand has exceeded expectations following the close of Adobe's Semrush acquisition .

Generative Engine Optimization powered by massive data corpus

Adobe Brand Visibility functions as a comprehensive solution for Generative Engine Optimization, combining Adobe LLM Optimizer with Semrush AI Optimization

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. The platform draws on nearly 300 million real-world AI search prompts, representing the largest global database of its kind, obtained with user consent

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. Teams can see exactly which prompts they are winning or losing across ChatGPT, Google AI Mode, Microsoft Copilot, and Perplexity AI. Combined with Adobe's first-party signals from owned channels, marketers gain visibility into mention frequency, audience reach, competitive share-of-voice, and content gaps .

Prompt strategy and auto-optimization capabilities

The platform enables teams to understand which topics and prompts gain traction across AI surfaces, identifying adjacent areas for optimization before competitors capture share of voice . Adobe Brand Visibility surfaces prioritized recommendations through AI agents, allowing teams to deploy optimizations in minutes. Updates reach AI agents at the edge so LLMs can access the latest brand narratives, while changes to owned content simultaneously improve experiences for human visitors

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. Every optimization connects to measurable business outcomes, with integrations to Adobe's analytics solutions linking GEO actions to bookings, pipeline, and revenue in a single workflow .

SEO intelligence meets AI search optimization

Adobe Brand Visibility leverages Semrush's SEO corpus built over 17 years, comprising 28.5 billion keywords and 43 trillion backlinks

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. This SEO intelligence reveals where a brand's existing search authority should drive AI citations and which content investments will close gaps across both channels simultaneously. The platform can function as a standalone application or integrate natively with Adobe Experience Manager, ensuring brands optimize for both human and AI audiences across their entire content foundation, from web experiences and campaign content to digital assets and commerce catalogs . This continuous operating model allows brands to sense how they appear across AI-driven discovery surfaces, generate content grounded in brand context, and learn from every interaction to improve business outcomes.

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