Content as a Service v3 - adobe-llm-optimizer - Tuesday, January 27, 2026 at 15:25
Ensure visibility across LLMs and generative AI engines with Adobe LLM Optimizer.
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 optimisation (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.
Optimise 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.
- Optimise 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 customised integrations.
- Securely integrate into enterprise ecosystems using standards such as Agent2Agent (A2A) and Model Context Protocol (MCP).
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 behaviour 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 prioritise the optimisations that will drive the greatest increase in visibility across AI-powered search.
Why an AI search and discovery strategy is critical.
50%+
decrease in brands’ organic search traffic by 2028 as consumers embrace generative AI-powered search.
80%
of consumers now rely on AI-written results for at least 40% of their searches, reducing organic web traffic by 15 to 25%.
4700%
rise in generative AI-powered shopping traffic to U.S. retail sites.
Learn more about Adobe LLM Optimizer and AI-driven search.
Questions? We have answers.
Adobe LLM Optimizer is a generative AI search and discovery optimisation solution that helps brands improve how their content is cited and surfaced in AI-powered search results. It provides automated insights, recommendations and optimisations across major LLMs.
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 that they stay visible, cited and chosen by identifying gaps and providing recommendations to improve discoverability across major LLMs.
Adobe LLM Optimizer is for digital marketing, SEO, content and web development and publishing teams who are responsible for creating content, driving website traffic, optimising search strategy and engaging customers.
Adobe LLM Optimizer empowers marketers to identify opportunities to drive visibility across LLMs and proactively optimises content. It leverages the following framework:
- Auto identify: Continuously analyse LLM activity and visibility to detect opportunities to improve prominence and citations in AI search.
- Auto suggest: Leverage models trained on LLM technical content optimisation to propose solutions that will capitalise on opportunities.
- Auto optimise: Implement proposed solutions with user approval and deployment.
Unlike traditional SEO or generative engine optimisation (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.
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.
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 specialise in processing, summarising and creating natural language content.
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 optimise content for LLM visibility to remain cited, recommended and discoverable.
Yes. While Adobe LLM Optimizer integrates seamlessly with Adobe Experience Manager Sites, it also works with customised CMS environments through APIs, ensuring enterprise flexibility.
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.
CardTitle
Shape how your brand shows up in AI search and discovery.
CardDescription
Identify LLM search gaps and optimise content to boost visibility, traffic and brand influence with Adobe LLM Optimizer.
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Learn more
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2025-06-15
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caas:content-type/product-page
Tags
caas:content-type/product-page, caas:products/llm-optimizer
Let’s talk about what Adobe LLM Optimizer can do for your business.
