Adobe has launched Adobe LLM Optimizer, a new enterprise application designed to help organisations monitor and improve their brand visibility across AI-powered chat services and browsers.
The application aims to provide marketing teams with tools for Generative Engine Optimisation (GEO), enabling them to track AI-driven traffic, benchmark visibility, and implement recommendations for enhanced discoverability on both company-owned and third-party digital platforms.
Rising interest in AI-driven discovery
As consumers increasingly use generative AI-powered interfaces to discover and research products, businesses are facing new challenges and opportunities in digital presence. Adobe's own data demonstrates a sharp expansion in AI-driven engagement, showing a 1,100% year-over-year increase in AI traffic to U.S. retail websites in September 2025. Visitors originating from generative AI sources also showed 12% higher engagement and were 5% more likely to convert when compared with traditional digital channels such as paid search, affiliates, organic search, email, and social media.
This evolving landscape has prompted businesses to consider their approach to AI visibility and ensure they maintain relevance with increasingly informed consumers. Adobe's new solution is being positioned as a way for teams to navigate this shift in user behaviour and engagement.
Application capabilities
LLM Optimizer's feature set allows businesses to measure and benchmark AI-driven traffic and citations. The tool identifies owned content being surfaced by AI interfaces to respond to user queries, highlighting which digital assets are being prioritised by large language models. It also provides monitoring for changes in AI referrals and enables benchmarking of brand visibility against competitors for strategic queries.
According to Adobe, early access customers using LLM Optimizer found that 80% had critical gaps in content visibility, which meant that AI platforms could not access key product information or customer reviews. The application's recommendation engine detects where content and metadata optimisation is needed, whether on company websites, FAQs, or external sites such as Wikipedia and public forums. It also flags technical issues-such as missing or invalid metadata-and helps teams uncover areas of their sites not accessible to LLMs, providing steps to address these limitations.
Marketing teams can review and deploy these suggested changes with a single click, enabling quicker action from insight to impact. The application includes built-in attribution features that link AI visibility to user behaviour and business performance, providing out-of-the-box reporting for sharing the impact of such work within the organisation.
Integration and accessibility
The solution is available as a standalone product but also integrates natively with Adobe Experience Manager Sites, supporting Agent-to-Agent (A2A) and Model Context Protocol (MCP) standards. This integration is intended to streamline compatibility with third-party workflows and content management systems already in use by many organisations.
To provide broader access to AI visibility insights, Adobe has also introduced a Chrome extension called "Is Your Webpage Citable?" powered by LLM Optimizer. This free tool displays which parts of a website are visible to large language models, allowing teams to identify and address hidden gaps in discoverability.
Early results and business impact
Adobe's marketing department has reported early success in using LLM Optimizer during efforts to improve the GEO strategy for Adobe Acrobat. The team was able to specifically measure product visibility and rapidly address issues related to product descriptions, ratings, and reviews using the tool's recommendations.
"Generative engine optimization has quickly become a C-suite concern, with early movers building authority across AI surfaces and securing a competitive advantage. Adobe LLM Optimizer delivers immediate value by connecting onsite and offsite brand performance insights with automatic optimization actions, ensuring businesses can stand out in a rapidly changing landscape," said Loni Stark, Vice President of Strategy and Product, Adobe Experience Cloud.
Adobe reports that automated recommendations resolved content gaps without affecting visitors' experiences, resulting in a five-fold increase in citations for Adobe Firefly within a week. Further content adjustments across Adobe.com and third-party platforms led to a 200% increase in LLM visibility for Adobe Acrobat compared to competitors, as well as a 41% increase in LLM-referred traffic to Adobe.com pages.
LLM Optimizer is being positioned as a resource for enterprises seeking to maintain and enhance their digital authority as generative AI interfaces play a larger role in the way consumers research and interact with brands online.
