New Delhi: Adobe has announced the general availability of Adobe LLM Optimizer, a new enterprise application designed to help businesses enhance visibility and authority across generative AI-powered platforms and browsers.
The solution marks a major step in what Adobe calls Generative Engine Optimization (GEO) — an emerging discipline helping brands measure and optimize how AI models cite, reference, and rank their content.
“Generative engine optimization has quickly become a C-suite concern, with early movers building authority across AI surfaces and securing a competitive advantage,” said Loni Stark, vice president of strategy and product, Adobe Experience Cloud. “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.”
According to Adobe’s latest data, AI-driven discovery is reshaping consumer behaviour. In September 2025, the company recorded a 1,100% year-over-year increase in AI traffic to U.S. retail sites. Visitors from AI sources were 12% more engaged and 5% more likely to convert than those arriving via traditional channels such as paid search or social media — underscoring the growing importance of brand visibility within AI ecosystems.
With LLM Optimizer, businesses can:
- Measure and benchmark AI-driven traffic and citations: Track which owned and third-party content is referenced by AI systems, monitor brand visibility across queries, and benchmark against competitors.
- Optimize content and code: Identify critical visibility gaps—such as missing metadata or inaccessible product information—and deploy automated fixes to improve how AI models interpret and surface brand content.
- Demonstrate business value: Connect AI visibility directly to engagement, conversions, and ROI with built-in attribution and reporting tools.
Adobe said that early access users found 80% of their content had visibility gaps preventing AI engines from accessing key brand data. The LLM Optimizer’s recommendation engine helps close these gaps through both content and technical improvements—allowing teams to approve and deploy fixes in one click.
The tool integrates natively with Adobe Experience Manager Sites, while also supporting open standards like Agent-to-Agent (A2A) and Model Context Protocol (MCP) for interoperability with third-party systems.
To expand accessibility, Adobe also launched a free Chrome extension — “Is Your Webpage Citable?” — powered by LLM Optimizer. The extension allows users to see what large language models can and cannot detect on any website, highlighting opportunities to improve AI visibility.
Adobe Uses Its Own Tech to Enhance Product Visibility
Adobe’s marketing team has already deployed LLM Optimizer to refine its GEO strategy for products such as Acrobat and Firefly. The company reported a 5x increase in citations for Adobe Firefly within one week, and a 200% increase in LLM visibility for Adobe Acrobat compared to competitors. Additionally, LLM-referred traffic to Adobe.com pages rose 41%, following content adjustments and automated recommendations.
