Increasing Your Brand Visibility with Adobe LLM Optimizer

When a potential customer asks ChatGPT, Gemini, or Perplexity which platform to evaluate, which vendor to trust, or which solution solves their problem, your brand either appears in that answer or it doesn't. That outcome is determined by Generative Engine Optimization (GEO).

GEO is the discipline of structuring content so AI systems can accurately understand, cite, and surface your brand in their responses. As generative AI becomes a primary discovery channel for enterprise buyers, brands that aren't optimized for it are losing visibility.

Adobe LLM Optimizer (LLMO) is Adobe's purpose-built solution for this problem. This article covers what it does, how to configure it, and how to use its dashboards to turn AI visibility gaps into concrete action.

Key Takeaways

• Generative Engine Optimization (GEO) is a discipline separate from traditional SEO, focused on ensuring AI platforms like ChatGPT, Gemini, and Perplexity accurately understand, cite, and surface your brand in their responses.

• Adobe LLM Optimizer is platform-agnostic and works regardless of what CMS or technology stack your site runs on, making it accessible to brands beyond the existing Adobe ecosystem.

• But knowing what to fix is only half the challenge. Oshyn's AEO and GEO practice helps enterprise teams act on LLMO insights with structured data implementation, crawl audits, and content re-engineering built for AI-driven discovery.

What is Adobe LLM Optimizer?

Adobe LLM Optimizer is a generative AI–first, standalone solution designed to help marketers understand how their brand shows up inside AI-generated answers — and more importantly, how to improve that visibility. Platform-agnostic by design, it works whether your site runs on AEM, WordPress, or any technology.

LLMO gives marketing, SEO, and communications teams near-real-time insights into brand mentions, citations, and competitive benchmarks across AI environments. It doesn’t just show you the gaps — it surfaces actionable content and technical opportunities to increase your brand’s presence in AI responses, while also measuring the traffic and business impact driven by AI assistants and agent-based referrals.

One of its most exciting capabilities is Optimize at Edge — an edge-based feature that applies AI-friendly enhancements at the CDN layer. This means you can optimize pages for LLMs and AI agents without touching your CMS or affecting human visitors. Teams can identify missing summaries, FAQs, or overly complex content and dynamically serve an AI-optimized version to AI user agents — all through a fast, no-code workflow that allows previewing, deploying, editing, and rolling back changes in minutes.

Getting Started with Adobe LLM Optimizer

Adobe LLM Optimizer (LLMO) is a standalone product within the Adobe ecosystem. It is not automatically included with other Adobe solutions.

Licensing and Access

If you are an existing Adobe Experience Manager (AEM) customer, you can take advantage of the “Try Before You Buy” offer. This allows you to use LLM Optimizer with up to 200 free prompts, so you can evaluate the product before purchasing a license.

If you are not an AEM customer, you will need to contact Adobe directly to request licensing information and purchase access to the product.

How to Get Started

Once you have activated your trial or purchased a license, you can begin using LLM Optimizer by visiting the Adobe LLM Optimizer web interface.

From there, you can start setting up your environment.

Configuring the Basics in Adobe LLM Optimizer

After accessing Adobe LLM Optimizer via llmo.now, the interface is intuitive and easy to navigate. However, to access its full capabilities and generate useful insights, you must complete several essential configuration steps.

1. Domain and brand onboarding: After logging in, you need to provide your primary domain and define your brand name. This initiates the onboarding process and allows LLM Optimizer to begin building your brand visibility model.

2. Allow access to your site: Add the Spacecat/1.0 user agent to your robots.txt file's allowlist or to your bot management rules so LLMO’s crawler can index your public pages.

3. Configure categories, topics, prompts, and aliases: All of this is managed within the Customer Configuration dashboard.

   • Categories: Create categories that align with your key business areas or content pillars.

   • Topics and subtopics: Define topics tied to important, usually non-branded, keywords relevant to your domain.

   • Prompts: Create the branded and non-branded queries you want LLMO to track for visibility. While the platform auto-generates a small starter set of prompts, this should be expanded to reflect your actual business priorities.

   • Brand aliases: Add different variations of your brand name so LLMO consolidates mentions into a unified visibility view.

   • Other brand aliases: If you manage multiple brands, you can configure additional brand aliases.

4. Configure CDN log forwarding: In the Customer Configuration dashboard, navigate to the CDN Configuration tab, then use the Onboard CDN option to enter your log forwarding details. This step is required to unlock Agentic Traffic and Referral Traffic insights, as it enables LLMO to analyze agent and referral traffic and generate prescriptive recommendations.

5. Connect Google Search Console: Integrating Google Search Console enables LLMO to evaluate key performance indicators, including keyword rankings, click-through rate (CTR), and Core Web Vitals. This allows businesses to strengthen the connection between AI visibility analysis and traditional search performance data.

Note: The Brand Presence dashboard becomes available with an initial visibility snapshot based on system-generated prompts. Custom prompts typically appear within approximately 24 hours after setup. The Agentic Traffic, Referral Traffic, Opportunities, and URL Inspector dashboards will only populate once CDN log forwarding has been fully configured.

Monitor and Optimize with Adobe LLM Optimizer Dashboards

Now that you have fully configured Adobe LLM Optimizer, you can begin using its dashboards to identify and act on both content and technical optimization opportunities. Each dashboard provides a different lens into how your brand performs across AI-driven search and agent interactions.

Brand Presence Dashboard

The Brand Presence dashboard shows how your brand appears in AI-generated answers: how often it is mentioned, how frequently your site is cited as a source, and how the sentiment around those mentions is trending over time. It lets you filter by date range, category, topic, platform (ChatGPT, Google AI Overviews, Copilot, Gemini, Perplexity, etc.), prompt origin, branding, and region so you can slice this view by the parts of your business and markets you care about most.

This dashboard is particularly useful for measuring overall visibility (via visibility score, mentions, and citations), benchmarking yourself against up to five other brands, and tracking sentiment shifts in how AI systems describe you. The Data Insights and Share of Voice tables then help you move from metrics to actions by showing, per topic and prompt, where demand is high but your visibility or owned citations are low, and where competitors are winning, so you can prioritize content and optimization work.

Agentic Traffic Dashboard

The Agentic Traffic dashboard shows how AI agents, such as crawlers and chatbots, interact with your site, using data from your CDN logs to report total requests, performance metrics, and traffic distribution across markets, categories, pages, and agents.

It is useful for monitoring the volume and quality of AI-driven hits (agentic interactions, success rate, average TTFB), tracking trends in successful vs failed requests over time, and spotting shifts in which content AI systems are accessing through the Top and Bottom Movers view.

Referral Traffic Dashboard

The Referral Traffic dashboard shows how visitors reach your site from external platforms, AI citations, and referral links, and helps you analyze which sources, regions, and pages drive the most engaged traffic.

This dashboard helps you monitor overall referral performance (total referral traffic, LLM referral traffic, consent rate, bounce rate) and break down traffic by markets, referral sources, and page intent categories.

URL Inspector Dashboard

The URL Inspector dashboard helps you analyze how individual pages on your domain perform in AI searches by combining visibility, agentic traffic, and referral data at the URL level.

This view is useful for seeing which of your URLs are actually cited in AI-generated answers, how often, in which prompts, categories, and regions, and how much agentic and referral traffic they receive.

Opportunities Dashboard

The Optimization Opportunities dashboard surfaces automatically detected insights that show where your site and external presence can be improved to increase brand visibility in AI search.

It is useful for quickly identifying and prioritizing concrete actions, such as adding structured content or FAQs, summarizing or simplifying long content, resolving blocked AI crawlers and HTTP errors, and recovering hidden content so AI agents can fully read your pages. With auto-optimization, some recommendations can even be deployed in one click at the content source or at the CDN edge, reducing manual work and accelerating their impact on your brand’s AI visibility.

Making Adobe LLM Optimizer Work For You

Adobe LLM Optimizer (LLMO) gives brands the tools to be seen and understood by AI systems, helping ensure content is cited, referenced, and surfaced accurately across platforms like ChatGPT, Google Gemini, and Perplexity AI. By setting up domains, categories, prompts, and connecting key data sources, LLMO turns insights into action, letting organizations optimize both content and technical performance for AI-driven discovery.

But knowing what to fix is only half the challenge. Acting on those insights requires understanding how your DXP delivers content to AI crawlers. Oshyn's AEO and GEO practice helps enterprise teams close that gap with structured data and schema implementation, crawl audits, and content re-engineering built for AI-driven discovery.

Learn more about Oshyn's AEO and GEO services or scan your site with our free Reliability Report to see where you stand.