At the Cannes Lions Festival on June 16, 2025, Adobe introduced Adobe LLM OptimizerA brand new tool for company quality with which corporations are intended to enhance their visibility in generative AI drive environments.
The search and committed online consumers change as conversation interfaces reminiscent of Chatgpt, Gemini and Claude. The latest application of Adobe goals to present brands the chance to know and influence how they seem in these quickly developing digital rooms.
Supported by data from Adobe Analytics, which show a rise in AI traffic to US retail locations and a rise of three,200% to travel locations between July 2024 and May 2025, the shift to generative interfaces accelerates. These tools not only change the mechanics of discovery – they redefine what it means to be visible and influential online.
“The introduction of Gena Chat services operated with massive growth within the 12 months,” said Haresh Kumar, Senior Director of Strategy and Product Marketing for Adobe Experience Manager. “It fundamentally changes the way in which through which consumers interact, search and find information.”
“Generative AI interfaces will discover, include and make buying decisions for tools,” added and make Loni Stark, Vice President for Strategy and Product for Adobe Experience Cloud. “With Adobe LLM Optimizer, we enable brands to securely navigate this latest landscape and make sure that they take off and win in crucial moments.”
Geo is the brand new search engine optimisation
Haresh Kumar described the brand new digital reality as one through which brands not just optimize for serps – but for AI models.
“search engine optimisation is not any longer nearly key words and backlinks,” he said. “In the age of the generative AI, we enter right into a latest paradigm – generation optimization or geo – where the relevance is assessed otherwise.”
This developing landscape requires latest methods to pursue performance and influence the discomfort. Adobe LLM Optimizer goals to treatment this with a thirty frame:
- Automatically discover: The system recognizes how the content of a brand of enormous AI models is used. Adobe follows the “fingerprints” of the indicated content and determines whether – and the way – as – as – in answers to relevant queries.
- Suggest robotically: The tool is triggered onto Adobe's own AI models, that are trained for generative interfaces, and recommends improvements within the technical infrastructure and content. These can range from the repair of metadata errors to improving authority and context in FAQ content.
- Automatic optimization: For many brands, the challenge doesn't just know learn how to fix what to repair – it quickly carries out the corrections. With LLM optimizer, users can apply really helpful changes directly, often without strong participation by development teams. “We help brands to robotically discover how your content in LLMs, probably the most automatic improvements and robotically optimized as a way to actually implement these changes,” said Kumar.
Gaps within the visibility of your brand towards LLM users and support in filling
With Adobe's system, marketers can determine where your brand is underrepresented in AI-controlled results. “The goal is to assist brands to know the gaps – where they don’t appear in AI answers – and what corrections they’ll make more visible,” said Kumar. The application calculates the forecast market value for every proposed change and offers teams prioritizing highly effective actions.
“Brands often ask:” Do I actually have to deal with this latest KI box? “, Added Kumar.” The answer is – since the traffic there changes. If you don't optimize, miss it. “
An example of content optimization includes concentrate on formats that LLMS naturally prefer.
“FAQ pages can do exceptionally well within the LLM indexing,” said Kumar. “They give direct, relevant answers that LLMS prefer when generating answers.”
The Adobe platform not only recommends creating such content, but because of the native integration with Adobe Experience Manager, it also helps to generate it in the present language and structure of a brand.
Always within the evaluation and expansion of reporting for the growing LLMS library
LLM optimizer uses a mixture of push and pull models to maintain the indexing of the content current. If latest content is published or accessed by a AI model, the system updates its evaluation and surfaces to the user.
“Our infrastructure includes each push and pull models. When the content is updated or accessed, we capture this fingerprint and feed them in our evaluation engine,” said Kumar.
The product is currently pursuing the performance in several TOP -KI models, including Chatgpt, Claude and Gemini, with plans to expand reporting when latest models appear.
Availability and integration
Adobe LLM Optimizer is now available as an independent product or as a native integration with Adobe Experience Manager website. While the pricing shouldn’t be publicly announced, Adobe confirmed that it’s a separate product that has updated opt-in and agreement.
“LLM Optimizer is a brand new product range that’s fully integrated into Adobe Experience Manager, but is out there as an independent solution,” said Kumar. “Customers should select based on their AI willingness and strategy.”
With more consumers who spend time in AI-controlled interfaces, Adobe LLM positions itself optimizer as a future-oriented solution for corporations that navigate this latest site. It offers a combination of visibility, automation and strategic clarity when digital engagement beyond traditional serps goes beyond the generative future.
