Adobe’s LLM Optimizer puts your brand in gen AI search results

At the Cannes Lions festival on June 16, 2025, Adobe introduced Adobe LLM OptimizerA new business quality tool designed to help companies improve their visibility in generative environments powered by AI.

While conversational interfaces like Chatgpt, Gemini and Claude reshape how consumers are looking for and engaged online, Adobe’s new application aims to give brands the possibility of understanding and influencing how they appear in these rapidly evolving digital areas.

Supported by Adobe Analytics data showing a 3,500% increase in traffic from AI to retail sites in the United States and a point of 3,200% of travel sites between July 2024 and May 2025, Adobe’s decision arrives at a time when the transition to generative interfaces is accelerated. These tools not only change the mechanics of discovery – they redefine what it means to be visible and influence online.

“The adoption of chat services fed at Genai is amazing, with massive growth from one year to the next,” said Haresh Kumar, principal director of product strategy and marketing for Adobe Experience Manager. “This fundamentally changes the way consumers interact, seek and find information.”

“AI generating interfaces become essential tools for the way customers discover, engage and make purchasing decisions,” added Loni Stark, vice-president of the strategy and product for Adobe Experience Cloud. “With Adobe LLM Optimizer, we allow brands to navigate with confidence in this new landscape, making sure to stand out and win in times that matter.”

Geo is the new SEO

Haresh Kumar described the new digital reality as the one in which brands no longer optimize for search engines, but for AI models.

“SEO is no longer just keywords and backlinks,” he said. “In the era of generative AI, we are entering a new paradigm – Optimization of the generation or geo engine – where relevance is deemed differently.”

This scalable landscape requires new methods to follow performance and influence discovery. Adobe LLM Optimizer aims to solve this problem with a three -part frame:

1. Identify automatically: The system detects how the content of a brand is used by the main models of AI. Adobe follows the “fingerprints” of indexed content and determines if – and how – it appears in the responses to relevant requests.
2. Auto suggests: Based on the own AI AI models formed for generative interfaces, the tool recommends improvements between technical infrastructure and content. These could range from the fixing of metadata errors to improving authority and context in FAQ content.
3. Automatically optimize: For many brands, the challenge does not only know what to correct – it quickly executes the fixes. LLM Optimizer allows users to directly apply the recommended changes, often without strong involvement of development teams. “We help brands automatically identify how their content works in LLM, self-solutory improvements and self-optimized optimization to really implement these changes,” said Kumar.

Reveal the shortcomings in the visibility of your brand to LLM users and help fill them

The Adobe system allows marketing specialists to see where their brand is underrepresented in AI-based results. “The objective is to help brands understand the gaps – where they do not appear in AI answers – and the fixes can make them more visible,” Kumar said. The application calculates the value of the projected traffic for each suggested change, allowing teams to prioritize actions with high impact.

“Brands often ask:” Do I have to worry about this new IA box? ” “Added Kumar. “The answer is yes – because traffic moves there. If you don’t optimize this, you miss.”

An example of content optimization includes a concentration on the formats that LLM naturally prefer.

“FAQ pages tend to work exceptionally well in LLM indexing,” said Kumar. “They provide direct responses and authority that LLMs prefer when generating responses.”

Adobe’s platform not only recommends creating such content, but also helps generate it in the existing voice and structure of a brand, thanks to native integration with Adobe Experience Manager.

Always on the analysis and expansion of the coverage for the increasing LLMS library

LLM Optimizer uses a combination of push and sweater models to maintain the content indexing current. When new content is published or accessible by an AI model, the system updates its analysis and surfaces information on the user.

“Our infrastructure includes both thrust and traction models. Whenever the content is updated or accessible, we capture this fingerprint and deliver it to our analysis engine,” Kumar said.

Currently, the product follows performance on several best AI models, notably Chatgpt, Claude and Gemini, with plans to extend the coverage as new models are emerging.

Availability and integration

Adobe LLM Optimizer is now available as an autonomous product or as a native integration with Adobe Experience Manager sites. Although prices are not publicly disclosed, Adobe has confirmed that this is a separate product requiring opt-in and agreement updates.

“LLM Optimizer is a new product offer, entirely integrated with Adobe Experience Manager but available as an autonomous solution,” said Kumar. “Customers must opt ​​for their preparation and strategy on AI.”

With more consumers who spend time inside AI interfaces, Adobe positions the LLM optimizer as a prospective solution for companies sailing this new land. It offers a mixture of visibility, automation and strategic clarity as digital engagement exceeds traditional search engines in the generative future.