Why we created LLM Optimizer

@cedrichuesler Great work. 

My perspective on LLM Optimizer:-

As LLMs increasingly mediate how end-users discover and interact with website content, AEM authors and brands aren’t just optimizing for algorithms—they’re shaping the very digital reputation and trust signals that will represent their orgs in conversational interfaces like ChatGPT, Gemini , others.
That means we’ll need to think differently about:

• Content accountability: Authors need to ensure that what LLMs “learn” and present about their brands is accurate, unbiased, and in line with company values.
• Governance frameworks: As agentic traffic grows, Every organizations should have a dedicated framework, process and people in place to own auditing, remediation, and continual improvement for content discoverability in AI.

My questions:-

1. How can LLM Optimizer recognize and apply our organization’s brand rules—such as tone, terminology, compliance, and visual standards—when analyzing and recommending optimization for AI consumption?
2. Could future releases enable us to upload or configure brand guidelines directly, ensuring every recommendation supports brand consistency and compliance?
3. What actionable steps—content structuring, metadata, markup, or semantic cues—can LLM Optimizer surface so teams can systematically improve their brand’s GEO score, ensuring we consistently appear at the top of LLM-generated results?
4. Is there a roadmap for making these scoring mechanics and recommendations more transparent and directly tied to business objectives?

Looking forward to your thoughts, Cedric, and hearing how others are tackling these priorities!

Would the recommendations be available or consolidated on Adobe Site Optimizer or it will be displayed on a separate dashboard?

I do have couple of questions on this.

• is this feature will be available to all costumers on ams and AEMcaS wothout any additional license?
• sometimes its not possible to do much change on content strategy in large enterprise applications due to limitations from content team requirements and to meet accessibility needs. so how adobe LLM optimizer can help in this case?
• Is it possible to use some keywords like meta keywords for seo and aria-label for accessibility to leverage the adobe LLM optimizer without changing the content strategy?
• Is it possible to provide some ranking for certain content to appears top of ai search for your pages?

Hi @cedrichuesler 

I just ran the plugin to check my org website and it gave me a score of 79%.

Few Questions

1. What does this score tell us ? 

2. How can we improve these scores ? 

Thanks

Veena

Thanks @cedrichuesler  for sharing this update! I’m excited to see how LLM Optimizer can help us better understand and optimize agentic traffic. As someone working with clients who have highly sensitive data, I’m particularly interested in learning more about the privacy and security measures in place. How does LLM Optimizer handle sensitive content and ensure compliance with data protection requirements?

Great work, @cedrichuesler — awesome to see this is now GA! Is there any extra cost for AEMaaCS clients? And are there any limits, like quotas or usage thresholds, that we should keep in mind?

This is looking awesome @cedrichuesler . I ran the chrome extension for some of the sites and got different score and it was great to be able to visualize what the LLMs can see for those sites.

Also, currently the AI searches seems to be pulling content from any available sources so there is a high chance that some of these sources may not be credible? Is there anything specific consideration being made around this scenario in the product? Like an allowlist/denylist of sources?

I am looking at this article which goes in great detail on this topic - https://www.gsqi.com/marketing-blog/ai-search-core-systems-anti-spam/ 

Thanks

Narendra

@cedrichuesler - this is great that Adobe is taking the lead with the LLM Optimizer!

Are these new AI Tools, such as ChatGPT and others, clearly defining their bot behavior, or at this point, are you just inferring it from the data you collect? 

The real question is whether the LLM Optimizer is based on a standard behavior or is self-adapting?

Thanks.

@cedrichuesler This is really interesting. This is definitely going to add a new impression while delivering AEM functionality. Using this tool, we can limit overall data & client security as per my understanding.

Thanks @cedrichuesler for initiating this thread.

Got few questions below.

• How does LLM Optimizer technically differentiate between agentic hits (from LLMs or chatbots) and human traffic? Can we view which specific LLMs or AI platforms (e.g., ChatGPT, Perplexity, Google AI Overviews) are accessing our content?

• What reporting dashboards are available for LLM Optimizer — are they integrated with Adobe Analytics or within AEM’s Admin Console?

• What are the prerequisites or setup steps for enabling LLM Optimizer in an AMS managed AEM SP22 environment?
• How can we influence the roadmap or participate in the LLM Optimizer early feedback program?