What is Adobe LLM Optimizer?

Adobe LLM Optimizer is a generative AI search and discovery optimization solution that helps brands improve how their content is cited and surfaced in AI-powered search results. It provides automated insights, recommendations, and optimizations across major LLMs.

What problem does Adobe LLM Optimizer solve?

Websites are seeing decreased click-through rates and engagement as users get answers directly from AI results and generative summaries. LLM Optimizer helps brands ensure they stay visible, cited, and chosen by identifying gaps and providing recommendations to improve discoverability across major LLMs.

Who is Adobe LLM Optimizer for?

Adobe LLM Optimizer is for digital marketing, SEO, content, and web development and publishing teams who are responsible for creating content, driving website traffic, optimizing search strategy, and engaging customers.

How does Adobe LLM Optimizer work?

Adobe LLM Optimizer empowers marketers to identify opportunities to drive visibility across LLMs and proactively optimizes content. It leverages the following framework:

What makes Adobe LLM Optimizer different from traditional SEO tools?

Unlike traditional SEO or generative engine optimization (GEO) tools, Adobe LLM Optimizer goes beyond tracking mentions. It integrates visibility analytics, machine learning-driven suggestions, and rapid deployment capabilities — all built for enterprise-level workflows and governance.

A large language model (LLM) is an advanced type of AI trained on massive datasets of text to understand and generate human-like language. Examples include ChatGPT, Claude, and Gemini. LLMs are increasingly used in search, content generation, and digital assistants.

What are examples of LLMs used in marketing and search?

Some widely used LLMs in enterprise marketing and discovery include OpenAI’s ChatGPT, Google’s Gemini, Anthropic’s Claude, and Perplexity AI. These tools influence brand visibility, content discovery, and customer engagement through generative answers and recommendations.

How are LLMs different from general AI?

LLMs are a subset of artificial intelligence, focused specifically on language understanding and generation. While general AI includes broader capabilities like vision, robotics, or analytics, LLMs specialize in processing, summarizing, and creating natural language content.

Why do LLMs matter for digital marketers and content teams?

LLMs are redefining how users search and discover content. Instead of clicking through links, users increasingly rely on information presented through AI-generated summaries and responses. This shift requires brands to optimize content for LLM visibility to remain cited, recommended, and discoverable.

Can I use Adobe LLM Optimizer without Adobe Experience Manager?

Yes. While Adobe LLM Optimizer integrates seamlessly with Adobe Experience Manager Sites, it also works with custom CMS environments through APIs, ensuring enterprise flexibility.

Does Adobe LLM Optimizer measure traffic from LLMs?

Yes. It provides visibility into traffic and engagement originating from AI assistants, agentic browsers, and generative search, helping teams quantify the business impact of LLM-based discovery.

Adobe LLM Optimizer

Drive brand authority in AI search and discovery.

Shape how your brand shows up in AI search results to drive measurable visibility, qualified traffic, and influence at every stage of the customer journey with Adobe LLM Optimizer.

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Ensure visibility across LLMs and generative AI engines with Adobe LLM Optimizer.

A set of image assets for optimization, some with tags identifying top performing content.

Own your presence within AI search and discovery.

Ensure your brand, products, and content are visible and credible as customers turn to AI to make decisions.

Understand where and how often your content appears in AI search results, as well as which searches are initiated or influenced by AI agents.
Get generative engine optimization (GEO) scores and track how AI systems present and position your brand to high-intent audiences.
Track your AI search share-of-voice and AI-driven citations against competitors to identify gaps.

Optimize and deploy content for increased AI search performance.

Move from insight to action with prescriptive recommendations, one-click implementation, and enterprise-ready integrations.

Automatically get actionable suggestions for fixing technical issues and building relevance around key topics to boost site and product visibility.
Optimize the on-site content and off-site sources that LLMs rely on for answering questions about your brand.
Seamlessly publish updates with a single click using Adobe Experience Manager Sites or custom integrations.
Securely integrate into enterprise ecosystems using standards such as Agent2Agent (A2A) and Model Context Protocol (MCP).

A vacation website getting AI-powered optimization opportunities

An AI-powered prompt asking where content performs best and chart listing the top platforms.

Connect AI-driven traffic to measurable growth.

Quantify the total business impact of your brand’s presence across AI channels and chatbots.

Map AI-driven visibility to user behavior and business performance to enable teams to demonstrate impact across engagement, conversion, and downstream traffic metrics.
Out-of-the-box reporting allows teams to quickly share insights with internal stakeholders and leadership — making it easy to communicate business impact.
Projected traffic value in dollars helps teams prioritize the optimizations that will drive the greatest increase in visibility across AI-powered search.