🚀 Introducing LLM Visibility

Camilo Aponte

Camilo Aponte

Last updated on Sep 30, 2026

As AI-powered assistants like ChatGPT, Gemini, Claude, and Perplexity reshape how customers discover and research brands, companies need clear visibility into how they are represented in this new channel.

LLM Visibility gives you a dedicated dashboard to track brand mentions, visibility trends, sentiment, and competitor benchmarks across major large language models — all in one place.

🌟 Why It Matters

Traditional SEO and social listening tools weren't built to measure how generative AI represents your brand. LLM Visibility fills that gap with AI-native metrics — visibility share inside model answers, sentiment of AI-generated descriptions, and the citation sources LLMs rely on — so you can manage reputation, track competitors, and optimize your presence in a channel that conventional analytics can't see.

🧩 Key Features

📊 Multi-Domain Monitoring

Easily track visibility for multiple brands or domains at once—perfect for agencies managing multiple clients or enterprises with large brand portfolios.

📈 Advanced LLM Analytics & Reporting

Dive deep into AI-specific insights, sentiment analysis, and trend tracking. Sentiment is reported as a 0–100 average score (not a percentage of positive mentions), so charts labeled as sentiment history reflect the average score over time. Generate professional reports tailored for brand managers or client presentations.

🆚 Competitive Benchmarking

Compare your brand's AI visibility against competitors or industry benchmarks across multiple LLMs.

⚡ Optimization Recommendations

Go beyond monitoring with actionable guidance on how to improve your brand's visibility and reputation across AI models. Examples of the kinds of recommendations you may see include: suggested content topics to publish based on gaps in LLM coverage, identification of citation gaps where competitors are cited but your brand isn't, and structured data or on-page improvements that help LLMs surface your brand more accurately.

🎯 Who is it for?

  • Agencies managing multiple client brands
  • Enterprises with multiple product lines or domains
  • Enterprises with large brand portfolios
  • Marketing consultants focused on AI-driven visibility
  • Brand managers tracking AI-channel reputation
  • SEOs and marketers monitoring competitor visibility in LLMs
  • Companies who want LLM monitoring without investing in the full SEO suite

🏆 Why LLM Visibility is Different

  1. Built for AI, not social media – Unlike traditional monitoring tools, this focuses on AI-generated responses.
  2. Multi-domain ready – Manage many brands from a single dashboard.
  3. Deeper insights – Beyond basic mention tracking, with AI-native analytics.
  4. Agency-friendly – White-label reporting and portfolio management built in.

📌 Use Cases

  • Client reporting – Add LLM visibility sections to your agency reports.
  • Brand management – Track multiple domains across one dashboard.
  • Competitive intelligence – Understand your standing vs. competitors.
  • Crisis monitoring – Get alerts for negative AI mentions.
  • AI optimization – Focus on LLM visibility without the SEO overhead.

🔑 Getting Started

When you log in to Search Atlas, go to the left sidebar and click on AI Visibility. From there, select the project or domain you want to analyze to open your dashboard.

📦 Quota & Plan Limits

LLM Visibility uses two separate limits that customers often confuse:

  • LLM tracking quota – the number of projects/queries you can run. This can be increased through OTTO top-ups.
  • LLM site count – the number of distinct sites/brands you can track. This is determined by your plan tier and is not increased by OTTO top-ups.

If you need to track more sites than your plan allows, you'll need to upgrade your plan tier — adding quota alone won't unlock additional site slots.

📊 Summary Dashboard

The Summary tab provides a snapshot of your brand's overall performance across LLMs:

  • Overall Visibility % – How often your brand appears in LLM responses.
  • Overall Sentiment Score – A 0–100 average score reflecting how positively, neutrally, or negatively your brand is described (not a percentage of positive mentions).
  • Citations Found – Total brand mentions across platforms.
  • Visibility vs Competitors – Benchmarking your brand against others.

👁️ Visibility Tab

The Visibility tab shows how often your brand is mentioned across different platforms.

You can view:

  • Visibility Trends over time.
  • Competitor Comparisons with a toggle for side-by-side insights.
  • Share of Voice – A breakdown of your brand's percentage vs competitors.
  • Visibility Score Rank – Where your brand ranks compared to others in the market.

You'll also find a detailed Citations Sources table to see where AI models are pulling brand mentions from.

💬 Sentiment (Left sidebar → AI Visibility → Sentiment)

The Sentiment page (Left sidebar → AI Visibility → Sentiment) analyzes how AI models describe your brand when directly asked about it. Sentiment values shown in this tab are 0–100 average scores, not percentages of positive mentions — a higher score means AI responses describe your brand more favorably on average.

It includes:

  • Positive vs Negative sentiment history over time (displayed as a 0–100 average score).
  • Sentiment by Platform – Compare how ChatGPT, Gemini, Claude, and Perplexity describe your brand.
  • Key Topics Driving Sentiment – Identify which themes (e.g., product quality, pricing, customer service) are influencing AI responses.

🔎 Topics & Queries (Left sidebar → AI Visibility → Topics & Queries)

The Topics & Queries page (Left sidebar → AI Visibility → Topics & Queries) shows the specific areas where your brand is being mentioned and how those mentions perform.

You'll see:

  • Top Performing Topics with visibility score, rank, citation share, and search volume.

  • The ability to expand topics and view related queries.

    An Analyze option to dive deeper into a single topic.

❓ Troubleshooting & FAQ

"Competitor management is only available for user-tracked projects"

This error means the project you're viewing is not being recognized as an actively user-tracked project, so competitor management is disabled for it. It can sometimes appear due to orphaned quota or routing issues even on brands you believe you are tracking. To resolve it:

  • Verify you are viewing the correct project URL, including the country_code parameter for the brand you intend to manage.
  • Confirm the brand is set up as a tracked project in your account.
  • If the error persists on a brand you know is tracked, contact Search Atlas support so we can investigate.

"No available quota for LLM Visibility Analysis" on a brand I'm already tracking

In some cases this message can render incorrectly on pages for brands you are actively tracking due to country_code routing. If you see this error on a brand you've already set up:

  • Try navigating directly to the brand URL with the correct country_code parameter.
  • If the issue continues, contact support — this may be a known routing edge case that has since been patched.

⚡ Next Steps

Start exploring LLM Visibility in your dashboard today and unlock new insights into how AI models are shaping your brand's digital presence.

Mastering visibility in AI-driven environments is no longer optional—it's essential. With LLM Visibility, you gain a dedicated lens into how your brand is represented across ChatGPT, Claude, Gemini, and other LLMs. By combining multi-domain monitoring, competitor benchmarking, sentiment analysis, and actionable recommendations, this standalone tool empowers agencies and enterprises to stay competitive and proactive. It's not just about tracking mentions—it's about shaping your brand's future in the AI-first era.