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!

This is very exciting! Thank you @cedrichuesler and team and thank you to @kautuk_sahni for nudging us in the AEM champion channel.

• For clients, and by extension partners, OOO reporting will be key to show business impact. Are we ready to share further details on implementation/integrations (e.g. how would analytics, ML suggestions, etc. look like)?
  
  
• Similarly, as it pertains to the MCP integration into any existing client enterprise MCP server solutions, what kind of integration and framework approaches are there with the LLM Optimizer?

Thank you, again!

Hi @cedrichuesler,

Amazing to see this rolling out so quickly.

For AEM on-prem or hybrid customers, is there a roadmap for extending LLM Optimizer capabilities beyond Cloud Service and AMS, or guidance on partial adoption through APIs or connectors?

Also, as we start thinking about “agentic website design,” will Adobe provide best-practice frameworks or tooling to ensure AEM pages are structured for LLM readability and citation accuracy?

Hey @cedrichuesler ,

This is awesome and very exciting. As the team is rolling out the LLM Optimizer this week, I am sure that there would be some Adobe best practices, case studies, and documentation that would be rolled out as well.

Thank you for the update,
Brian

Hi @cedrichuesler,

Thank you for the uodate and great to see how Adobe is thinking of the cutting edge and use LLMs.

My questions are different:

1. As a business I will get the insight but will my data be used for training the model?

2. If you will not be using my data how will you plan to get the AL MOdel better?

3. What guardrails will be there to make sure the AI Bias and AI hallucinations are not impacting the results?

4. How will you be keeping human in loop?

Thanks

Prahlad

Few questions on my thoughts.....

• How does LLM Optimizer integrate with AEM Cloud Service and Edge Delivery Service?

• What are the prerequisites for onboarding LLM Optimizer with my current AEM setup?

• Does LLM Optimizer support multilingual content optimization?

• How does it handle structured vs. unstructured content.....

Thanks @cedrichuesler

I have some questions regarding LLM Optimizer: 

- How should our content strategy change to better serve AI agents, while still maintaining a great experience for human visitors?

- Will it be possible to give a concrete example of an "optimization opportunity" that LLM Optimizer might surface?

- Are there plans to integrate LLM Optimizer more deeply with other Adobe Experience Cloud products, like Analytics or Target?

Thanks

A. H. M. Imrul Hasan

Thanks @cedrichuesler . 

LLM Optimizer is truly the need of the hour, especially as we move into an era of zero/one-click search and the rise of AI-driven discovery. I have a few questions to better understand its capabilities:

1. Can LLM Optimizer quantify the measurable business impact — in terms of engagement, revenue, and conversions of optimizing brand presence for AI-driven search compared to traditional SEO methods?
2. How does the tool identify, measure, and optimize for 'agentic traffic' originating from LLMs, AI browsers, or other generative AI interfaces?
3. What specific best practices should content teams follow so that LLMs assign higher GEO scores during model training?
4. Are there recommended workflows or governance models for integrating LLM optimization into existing AEM content production cycles?

Thanks,

Somen

@cedrichuesler Really exciting to see this update, Cedric! With AI reshaping how users find and engage with content, a few questions came to mind:

• How does LLM Optimizer quantify the impact of agentic traffic on key business outcomes, such as conversions, form submissions, or content engagement? Are there specific dashboards or visualizations that help identify which AI-driven interactions are driving measurable results?

• For sites with complex content structures or dynamic sections, how does the tool help identify which content is most likely to be consumed by AI agents?

Hi @cedrichuesler ,

LLM optimizer is the need now , as everyone focusing on utilizing genAI tools but how LLM will read our data efficiently and make it available in LLM search .

Thanks