Adobe Brand Visibility (was LLM Optimizer)

Category: AI Search/Research

Adobe's AI-visibility product, now powered by Semrush data.

Adobe Brand Visibility is what Adobe LLM Optimizer became. Adobe stopped selling under the old name on 31 July 2026, so anything referencing LLM Optimizer is no longer purchasable, though existing contracts continue and receive the new features. The change followed Adobe's acquisition of Semrush, which closed in April 2026 for around 1.9 billion dollars, and Semrush's AI search dataset now feeds the product, drawing on a very large pool of AI search prompts. The job it does is measuring how often and in what terms AI assistants describe your brand, then recommending what to change. It sits inside what Adobe now calls CX Enterprise, the renamed Experience Cloud, as one of three pillars alongside customer engagement and content supply chain.

Our verdict

The Semrush acquisition is what makes this interesting rather than the product itself: feeding a genuinely large AI search dataset into the measurement is a real advantage over tools inferring visibility from a few hundred prompts of their own. If you are already an Adobe shop, keeping this inside the same contract and data model has obvious value. The honest assessment for most readers, though, is that it is enterprise GEO tooling competing with tools a mid-market UK team can actually buy, and several of those are better specified. Semrush's own product, Profound, Conductor and the cheaper trackers in this directory all cover similar ground at a fraction of the commitment. The scoring is also crude by comparison, measuring brand visibility essentially as mention frequency rather than anything richer. We could find no first-party MCP server for it, unlike several other Adobe products. And Adobe's supporting evidence is US retail traffic, so UK-specific AI answer coverage is unproven.

Best for: Large organisations already committed to Adobe's stack who want AI visibility measurement inside the same contract and data model.

Pros

  • Fed by Semrush's large AI search prompt dataset following Adobe's acquisition
  • Sits inside the Adobe stack, so no separate contract or data model
  • Recommendations rather than measurement alone
  • Backed by Adobe, so unlikely to disappear
  • Existing LLM Optimizer contracts continue and receive the new features free

Cons

  • The LLM Optimizer name is no longer sold, so older references are unpurchasable
  • Scoring is essentially mention frequency, cruder than rival approaches
  • Enterprise pricing against competitors a mid-market team can actually buy
  • No first-party MCP server found, unlike several other Adobe products
  • Supporting evidence is US retail traffic, so UK coverage is unproven

Pricing: Pricing on application, enterprise only (Enterprise)

Rating: 3.5/5