Adobe Launches LLM Optimizer for AI-Powered Browsers

Adobe announced Adobe LLM Optimizer, a new enterprise offering designed to help companies reimagine their presence in an era where consumers are increasingly engaging with brands through generative AI interfaces. While companies have traditionally leveraged Adobe Experience Cloud applications to manage and optimize their presence across key channels like web and mobile, Adobe LLM Optimizer empowers teams to stay ahead of changing consumer behavior and maintain consistently high brand recall in the age of AI. Additionally, Adobe LLM Optimizer’s capabilities enable companies to monitor AI-driven traffic, benchmark brand exposure, and receive recommendations to improve discoverability, engagement, and conversions, which can then be rapidly deployed across digital channels.

“Generative AI interfaces are becoming a key tool supporting every stage of the customer journey, from product discovery to brand engagement to purchasing decisions,” said Loni Stark, vice president, strategy and products, Adobe Experience Cloud. “Adobe LLM Optimizer helps businesses navigate this new environment with confidence by ensuring awareness and connecting moments that matter to outcomes.”

A new generation of consumers already values ​​conversational experiences with their favorite brands. According to Adobe Analytics, in May 2025, traffic to retail sites in the U.S. via AI generation increased 3,500% since July 2024, and traffic to travel sites increased 3,200%. Consumers are seeking tips, inspiration, and rewards for their purchases.

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Adobe LLM Optimizer helps companies:

Monitor and increase traffic via AI : Adobe LLM Optimizer can identify owned content (such as details on your website) that an AI interface uses to respond to user inquiries. This allows businesses to understand how their brand is displayed in browsers and chat services in real time. Additionally, simultaneous benchmarking allows businesses to compare their visibility against competitors for business-critical searches and inquiries. These insights can be used to refine their content strategy and other organizational decision-making processes.

Content optimization for discoverability : A recommendation engine detects gaps in brand awareness and suggests improvements across internal channels (web pages, FAQs) and external channels (Wikipedia, community sites). These recommendations are based on LLM’s prioritized attributes: high-quality, useful content from trusted sources. Teams can immediately act on recommendations and deploy changes with one click. Additionally, attribution capabilities connect AI-driven visibility to user behavior and business outcomes, understanding the impact on engagement, conversions, and downstream traffic metrics. Built-in reporting also enables teams to quickly share insights with internal stakeholders and effectively explain the business impact.

Adobe LLM Optimizer is designed to fit into the existing workflows of a wide range of users, including SEOs, content strategists, digital marketers, and web publishers, making AI-driven traffic insights and recommendations available to the entire organization. Support for enterprise-ready frameworks like Agent-to-Agent (A2A) and Model Context Protocol (MCP) also enables seamless integration of Adobe LLM Optimizer with third-party solutions and agency partners.

Adobe LLM Optimizer can be used as a standalone application, but it also supports native integration with Adobe Experience Manager Sites, a leading content management system currently used by many companies.

SOURCE: PRTimes