Adobe LLM Optimizer Helps Brands Get Found in AI Chatbots
The new tool tracks which content is cited by AI models and offers actionable insights to boost visibility and engagement
Adobe has launched its LLM Optimizer, an application that brands can use for Generative Engine Optimization (GEO). Initially unveiled in June, this now generally available tool can monitor AI-driven traffic and improve discoverability on AI-powered chat platforms and browsers like Google’s AI Overview and Perplexity. The LLM Optimizer is available either as a standalone application or through Adobe Experience Manager Sites.
“Generative engine optimization has quickly become a C-suite concern, with early movers building authority across AI surfaces and securing a competitive advantage,” Adobe’s Vice President of Strategy and Product for its Experience Cloud, Loni Stark, says in a release. “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.”
The era of optimizing only for the old “Ten Blue Links” is over. It’s no longer about Search Engine Marketing. In the age of generative AI, the new challenge for companies is making sure their content surfaces in chatbots like ChatGPT and Google Gemini. And despite Google continuing to maintain a stranglehold on search, there are signs of cracks in its dominance. Enterprise SEO firm BrightEdge states that AI challengers are quickly gaining traction. However, users are turning to AI chatbots for entirely different reasons—tools like ChatGPT are used as trusted coaches for decision-making, while Google is a research assistant.
Adobe highlights three key features of its LLM Optimizer:
Measuring and benchmarking AI-driven traffic and citations: This tool can reveal which pieces of a company’s content are being pulled into AI chatbot responses. No longer will content marketers look at their analytics and wonder which blog post or webpage was referenced by AI—now, they’re provided better insights. It also provides a side-by-side comparison tool so companies can analyze how their brand’s visibility stacks up against competitors.
Optimization of content and code: Through the use of a recommendation engine in the LLM Optimizer, companies can detect gaps in brand visibility and receive suggestions on how to improve content on owned and external channels. It also provides advice on technical fixes to replace missing or invalid metadata and identify areas of a website that are hidden from LLMs. All of these optimization tweaks can be made with a single click.
Demonstrate business value: As is typical for Adobe’s AI solutions, the LLM Optimizer comes equipped with an attribution capability, so marketing or content teams will know when their work shows up in a chatbot and if it links to actual user actions, such as clicks, engagement, or purchases.
In a way, Adobe’s LLM Optimizer is the equivalent blend of Google Analytics and Parse.ly made for the generative AI era. It provides critical visibility for marketers at a time when business leaders are looking for ways to capitalize on AI chatbots. After all, with 800 million people using ChatGPT every week, wouldn’t it be great for brands to know which piece of content they’re publishing is often cited by the AI?
The Adobe LLM Optimizer comes with built-in support for both the Agent-to-Agent (A2A) and Model Context Protocol (MCP) standards. In addition, Adobe has released a free Chrome extension called “Is Your Webpage Citable” that’s powered by its LLM Optimizer, which anyone can use to identify hidden gaps any website has in AI visibility.
This is a fascinatig pivot for Adobe and shows how quickly the SEO game is changing. The idea that brands need to optimize for AI chatbot citations instead of just Google rankings is such a fundametal shift. I'm curious how accurate the attribution model actually is though, because tracking whether somone clicked through from a ChatGPT response seems like it would be really tricky to measure. The Chrome extension sounds useful for auditing individual pages, but I wonder if this whole category of GEO tools will become as crowded and complex as SEO became over the past 20 years.