The 10 Best LLM Monitoring Tools for Brand Visibility in 2026

The SEO landscape has fundamentally transformed. We are no longer just fighting for ten blue links on a traditional search engine results page; today, the battleground is the single, definitive answer generated by Large Language Models (LLMs) like ChatGPT, Claude, Perplexity, and Google's AI Overviews.

Search is now highly personalized, conversational, and non-deterministic. When a potential buyer asks an AI assistant about products or services in your niche, you need absolute clarity on whether your brand is recommended, how you stack up against your competitors, and the overall sentiment of those mentions.

To uncover exactly how the current Generative Engine Optimization (GEO) software market handles this shift, I ran a massive, live audit. I created accounts across the top AI visibility platforms and tracked Honda.com simultaneously to see how different tools interpreted the exact same brand presence. (Note: For a deep, forensic dive into the granular data and buyer persona performance from this experiment, check out my full write-up on the Genezio blog: The State of AI Visibility 2026: A Multi-Platform GEO Audit).

In this guide, we will explore what LLM monitoring tools are, how they function, and the top platforms available today based on my hands-on testing.

What Are LLM Monitoring Tools?

LLM monitoring tools track how your brand appears in AI-generated responses from conversational search platforms like ChatGPT, Claude, Gemini, and Perplexity. When users ask an AI model questions like "What are the most reliable family vehicles?" or "Which SUVs offer the best fuel economy?", these tools analyze the output to show if your brand appears, how often it is recommended, and its position in the response.

Most software for monitoring brand mentions in LLMs follows a three-step process:

• Query Automation: The tools automatically send industry-relevant prompts to various AI platforms multiple times a day or week.
• Response Capture and Analysis: The platforms collect the AI responses and parse them to detect brand mentions, rankings, and context.
• Competitive and Sentiment Tracking: The tools compare your brand's mention frequency against competitors and analyze the sentiment of the description.

Types of LLM Monitoring Tools

There are three main categories in this space:

• AI Brand Monitoring Tools: These focus on marketing visibility, tracking share of voice, mention frequency, and sentiment across consumer chatbots.
• Technical LLM Observability Tools: Built for developers, these monitor AI model performance, API response times, token usage, and hallucination rates.
• Hybrid Solutions: These combine technical site readiness (like crawling your website for AI bots) with competitive brand visibility benchmarking.

The 10 Best LLM Monitoring Tools for Brand Visibility

Based on my extensive testing with Honda.com, here are the top tools available for monitoring and optimizing your AI search presence.

1. Genezio: The AI Visibility Platform

• Best for: Strategic optimization, multi-turn conversation tracking, and uncovering hidden AI search queries.

Genezio interacts directly with LLMs through their real web interfaces by default, which is critical because LLM behavior and citation selection often differ significantly between an API and the actual web interface consumers use. It operates as a true "Conversational Optimization Platform."

The Honda Audit Findings: Over 31 days, Genezio analyzed 1,646 conversations and gave Honda a 75% Brand Visibility score. It automatically discovered Honda's top competitor was Toyota (80% visibility), followed by Subaru (65%).

Key Features:

• Multi-Turn Conversations: Genezio simulates stateful, multi-turn dialogues to see how your brand survives scrutiny.
• Deep Persona Modeling: It injects specific personas (e.g., a "CTO" vs. a "Student") to ensure visibility scores reflect your Ideal Customer Profile.
• Query Fanouts: It extracts hidden internal web searches that LLMs perform when answering a user's prompt.
• Actionable Insights: It provides alerts for new negative sources and highlights specific URLs driving visibility.

Pricing: Free trial available. Paid plans include Starter (€199/month), Growth (€299/month), and Agency (€999/month).

2. Semrush One (AI Visibility)

• Best for: Existing SEO teams wanting to integrate AI search data with traditional organic metrics.

Semrush unites its leading traditional SEO tools with powerful AI search capabilities, tracking visibility across ChatGPT, Google AI Overviews, Gemini, and Perplexity.

The Honda Audit Findings: Semrush assigned Honda an "AI Visibility Score" of 87/100 ("Great"). It estimated a monthly audience of 684 million for the tracked prompts, showing Honda held a 15% Share of Voice on ChatGPT (edging out Toyota at 11%).

Key Features:

• Sentiment by Feature Category: Breaks down sentiment into granular "Key Business Drivers," showing Honda leading in "Practicality Space" and "Reliability Durability."
• Strategy Recommendations: Offers AI Strategic Opportunities, advising brands on short, medium, and urgent timeframes.
• Competitor Research: Identifies which topics and prompts work best for competitors, highlighting "Missing," "Weak," or "Strong" prompt overlaps.

Pricing: Base AI Visibility add-on is $99/month per domain. Enterprise custom pricing is available.

3. Peec AI

• Best for: Agile marketing teams needing a fast, affordable, and simple pulse check.

Peec AI is built for simplicity, focusing on tracking specific static prompts you define and reporting on your visibility percentage without complex configurations.

The Honda Audit Findings: Peec AI offered a clean dashboard where Honda scored a high sentiment score of 86 for specific compact car prompts. It highlighted that Reddit and YouTube accounted for 53% and 41% of citation sources, respectively.

Key Features:

• Static Prompt Tracking: Tracks visibility, sentiment, and position daily across models based on an inputted list of questions.
• Source Categorization: Automatically categorizes citation domains into UGC, Corporate, Editorial, and Institutional.
• Custom Pitch Workspaces: Allows agencies to create pitch workspaces to showcase competitive positioning data.

Pricing: Starts at €89/month for the Starter plan and €199/month for the Pro plan.

Peec AI pricing plans

4. Profound

• Best for: Large enterprises prioritizing PR, Answer Engine Optimization (AEO), and AI-driven content generation workflows.

Profound is a high-end enterprise suite focused heavily on the content creation side of GEO, helping you build the exact content needed to influence AI models.

The Honda Audit Findings: Profound yielded a visibility score of 50.8% for "American Honda Motor Co., Inc." It showed Honda had 93.3% visibility in "Hybrid Powertrain Technology," but 0% in "Battery Electric Vehicle Development."

Key Features:

• Deep Answer Engine Insights: Breaks down performance meticulously by platform (e.g., showing different Share of Voice percentages on Google AI Overviews versus Perplexity).
• Citation Share: Tracks the exact URLs driving mentions.
• Content Workflows & Brief Generation: Uses its Content Library to automatically generate highly detailed AEO content briefs to close competitive visibility gaps.

Pricing: Starter plan is $82.50/month (billed yearly), Growth plan is $332.50/month, and Custom Enterprise packages are available.

Profound pricing plans

5. Otterly.AI

• Best for: Technical SEOs who need granular metrics and infrastructure audits for AI crawlers.

Otterly.AI approaches GEO technically, tracking share of voice and brand mentions while providing standout technical site auditing specifically designed for AI bots.

The Honda Audit Findings: Otterly placed Honda behind Hyundai and Toyota in brand mentions. Crucially, it flagged that Honda's domain lacked an llms.txt file, resulting in an "AI Readiness" score of just 41 out of 100.

Key Features:

• GEO Site Audit: Scans website pages to check readability for LLM crawlers, testing Static Content rendering, Page Speed, and Structured Data.
• Brand Visibility Index: Uses a quadrant chart to plot "Brand Coverage" against "Likelihood to buy."
• Top Prompts & Citations: Provides exportable lists of prompts that triggered your brand and the exact domains cited.

Pricing: Lite plan at $29/month, Standard at $189/month, and Premium at $489/month.

6. Writesonic (AI Search Tracking)

• Best for: Content teams who want to directly connect visibility analytics with an AI writing assistant.

Originally an AI writing tool, Writesonic now includes a comprehensive Generative Engine Optimization suite based on a "Track & Boost" philosophy to instantly generate content for identified gaps.

The Honda Audit Findings: Writesonic gave Honda an AI visibility score of 60.4% across 96 answers and estimated a 43.9% share of voice compared to specific competitors.

Key Features:

• The Action Center: Aggregates all data into concrete tasks, like flagging high-authority third-party sites that mentioned competitors but not your brand.
• AI Traffic Analytics: Attempts to quantify bot traffic from OpenAI, Claude, and Perplexity crawlers.
• Content Engine Integration: Missed prompts or citation gaps can be turned into blog article drafts with a single click.

Pricing: Available on the Standard plan ($99/month), Professional ($249/month), and Advanced ($499/month).

7. Athena HQ

• Best for: Scaling companies needing detailed page auditing and conversational prompt insights.

Athena is a dedicated platform designed to provide a deep look at how AI interprets and accesses your web presence.

Key Features:

• The Olympus Dashboard: A central hub showing average mention rates, citation rates, and radar charts of "Positive Brand Traits."
• Deep Site Audits: Runs technical page audits checking Access Controls (Robots.txt) and Content Delivery (JavaScript rendering) to ensure AI bots can read the site.
• Prompt Variations: Automatically generates fan-out feature branches from base prompts.

Pricing: Lists a Self-Serve option at $95/month.

Athena HQ pricing plans

8. Scrunch

• Best for: Flexible, platform-wide AI tracking across a massive array of LLM models.

Scrunch monitors how your brand appears across an expansive list of AI environments, including ChatGPT, Claude, Gemini, Google AI Overviews, Copilot, Grok, and Meta AI.

Key Features: Focuses heavily on wide-scale model monitoring to ensure you capture brand mentions regardless of which AI assistant a consumer chooses to use.

Pricing: Offers a Core plan for $250/month (125 prompts) and an Enterprise plan.

Scrunch pricing plans

9. LLMrefs

• Best for: Agencies and SEOs who prefer a traditional keyword-tracking methodology applied to AI search.

LLMrefs tracks keywords rather than static prompts, helping teams transition from traditional search to GEO.

Key Features:

• AI Search Volume Data: Provides estimated "Monthly AI prompt volume" powered by a proprietary dataset of over 120 million AI conversations.
• Transparent Competitor Benchmarking: Ranks brands using aggregated Share of Voice and position metrics with transparent data.
• Agency Optimized: Allows unlimited client domains and projects under one subscription.

Pricing: Offers an "All in One" plan for €79/month (includes 500 prompts, weekly tracking, and geo-targeting in 50+ countries).

10. Brand24

• Best for: PR specialists and social media managers looking to influence the data sources that feed LLMs.

While not a direct LLM prompter, Brand24 tracks and analyzes brand mentions across social platforms, forums, and publications, which are the real-time web data and human consensus sources that LLMs synthesize for their answers.

Key Features:

• Emotional Tone Tracking: Analyzes the emotional tone of online brand mentions to track audience sentiment.
• Influencer Discovery: Finds influential creators who can amplify brand visibility and feed the AI's "knowledge graph."
• Conversation Patterns: Detects unusual spikes in discussion volume based on topic and intent.

Pricing: Offers a 14-day free trial, with paid plans starting at $149 per month.

How to Choose the Right LLM Monitoring Tool

Selecting the right AI optimization software depends heavily on your team's size, budget, and specific goals. Here is a step-by-step framework:

1. Define Your Monitoring Goals:
   • For deep Competitive Intelligence and Strategic Defense, choose a tool that handles multi-turn conversations and persona injection like Genezio.
   • For Content Creation, tools like Profound and Writesonic offer workflows to turn visibility gaps directly into optimized articles.
   • For a simple Pulse Check or Performance Tracking, lightweight tools like Peec AI or LLMrefs are perfect.
2. Assess Technical Requirements: Consider how the tool fits your workflow. If your site relies on JavaScript, AI crawlers might see a blank page. Tools like Otterly.AI and Athena HQ provide technical GEO site audits that check your llms.txt and robotic access controls.
3. Evaluate Key Features: Look for tools that test prompts multiple times to account for the probabilistic nature of AI responses, and ensure the tool supports the specific platforms your audience uses.
4. Consider the Pricing Model: LLM tools price differently, some by domain, prompt volume, or number of AI models tracked. Watch for hidden costs related to tracking frequency and API access.

Strategies to Improve AI Visibility After Monitoring

Monitoring is only half the battle. To actively influence the AI, you should:

• Optimize for the "Query Fanout": Uncover the hidden web searches AI models perform internally to formulate answers, and ensure your website has content that directly addresses them.
• Dominate Third-Party Citations: AI engines favor User Generated Content (like Reddit) and authoritative editorial sites. If competitors are winning via specific Reddit threads, your marketing team needs to get involved there.
• Fix Negative Sentiment Early: Address negative sentiment before it bakes into the AI's training cycle by publishing fresh, authoritative content that corrects the record on outdated issues.

Final Thoughts

The era of optimizing for a list of ten blue links is ending. Generative Engine Optimization requires a new approach focused on conversation, context, and citation authority. By leveraging these tools, you can actively manage your AI reputation instead of guessing what ChatGPT thinks of your brand. (For the full side-by-side performance breakdown with real screenshots and data, read: The State of AI Visibility 2026: A Multi-Platform GEO Audit).