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πŸ”Ž How to Use Search Atlas LLM Visibility

Monitor brand visibility, sentiment, and competitive presence across AI-generated answers.

Updated over 2 weeks ago

Search Atlas LLM Visibility shows where brands appear and how they are represented in answers generated by large language models (LLMs). As AI platforms like ChatGPT, Gemini, Perplexity, and Claude shape the way users discover information, understanding brand visibility and sentiment in these channels becomes non-negotiable.

LLM Visibility enables teams to monitor trends, identify shifts in competitive presence, and interpret brand perception across major AI systems. The following guide covers setup, dashboard navigation, data interpretation, and practical strategies for using LLM Visibility.

🧠 What is an LLM?

An LLM (large language model) is an advanced AI system that processes, understands, and generates human language using deep learning and transformer architectures.

LLMs analyze massive text datasets, identifying relationships between words, phrases, and sentences. They excel at generation, summarization, translation, and conversational AI.

Popular models include ChatGPT, Gemini, Perplexity AI, and Claude, all of which now influence which entities appear in AI-generated respons

βš™οΈ What is the LLM Visibility Tool?

The Search Atlas LLM Visibility Tool is an analytics platform that measures how frequently and in what context your brand, website, or products appear in answers generated by LLMs.

It aggregates real-time data, tracks sentiment, and catalogs citation sources from major AI systems.

LLM Visibility Tool

The tool features four dashboards β€” Summary, Visibility, Sentiment, and Topics & Queries β€” enabling you to:

  • View real-time and historical visibility and sentiment metrics.

  • Compare results across LLMs instantly.

  • Visualize trends, rankings, and share of voice.

The LLM Visibility Tool provides a complete, real-time view of how your brand appears in AI-generated answers β€” quantifying presence, identifying risks, and turning complex data into actionable insights.

πŸš€ How Do You Get Started With LLM Visibility?

Access the tool from Site Metrics in the Search Atlas dashboard.

  1. Click Site Metrics from the left-side navigation menu.

  2. Open the Site Explorer, then select LLM Visibility.

  3. Enter your domain, subdomain, or target page in the search bar.

  4. Select your property type and geographic market.

  5. Click Search to load data.

  6. Setup Screenshot 1

Initial Setup

  • Verify your project appears in Site Explorer.

  • Click LLM Visibility to open the main dashboard.

  • Review the overview panel and switch between Summary, Visibility, Sentiment, and Topics & Queries tabs for deeper analysis.

    Setup Screenshot 2
Setup Screenshot 3

πŸ“Š What Will You See in the Dashboard?

LLM Visibility includes four modular dashboards:

Dashboard Overview

1. πŸ“ˆ Summary Dashboard

Consolidates all key findings β€” visibility score, sentiment, and total citations.

Summary Screenshot

Five components:

  • Visibility Trend – tracks changes in visibility over time.

  • Visibility vs Competitors – compares visibility across top brands.

  • Visibility by Platform – shows brand mentions by LLM.

  • Sentiment by Platform – summarizes sentiment ratings.

  • Top Performing Topics – lists queries driving visibility.

  • Summary Filter Screenshot

2. πŸ“Š Visibility Dashboard

Quantifies how often your brand appears in AI-generated answers β€” even without direct brand prompts.

Visibility Screenshot

Key components:

  • Visibility Score – measures brand presence over time.

  • Visibility Score Rank – ranks brands by visibility.

  • Share of Voice Chart – visualizes the percentage of mentions by brand.

  • Share of Voice Rank – compares total mention share.

  • Citation Sources – lists domains referenced by AI systems.

    Charts and Ranks
Citation Screenshot

3. πŸ’¬ Sentiment Dashboard

Measures how positively or negatively LLMs describe your brand, products, or topics.

Sentiment Screenshot

Four key views:

  • Positive Sentiment History – tracks tone shifts over time.

  • Positive & Negative Topics – identifies main sentiment drivers.

  • Sentiment Comparison by Platform – compares across AI systems.

  • Sentiment by Topic Table – breaks down sentiment per query.

4. πŸ”Ž Topics & Queries Dashboard

Lists topics and questions used to calculate visibility scores.

Topics Screenshot

Each entry shows:

  • Visibility score and rank.

  • Citation share and search volume.

Expand topics to uncover coverage gaps and prioritize optimizations for high-value queries.

πŸ“ˆ How Do You Use the Data?

Use Visibility Score Rank and Share of Voice to determine brand standing across LLMs.

Benchmark Screenshot

Analyze citation sources and top-performing topics to identify what drives competitor visibility and focus content accordingly.

Protect & Manage Reputation

Track sentiment history and identify negative queries or topics.
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Adjust content, FAQs, or product pages to improve perception and proactively address recurring issues.

Guide SEO & GEO Strategy

Leverage Topics & Queries and Citation Sources to refine keyword targeting and fill content gaps across markets or languages.

Measure Progress Over Time

Use trend charts and exports to monitor month-over-month improvements in visibility, sentiment, and citations.

βœ… Closing Note

Get started with Search Atlas and explore your LLM Visibility dashboard today. Review insights, track progress, and strengthen your brand presence in AI-driven search.

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