LLM Visibility Software
Best LLM visibility tools for five different workflows
The best tool depends on whether you need a free first check, a one-time client-ready report, recurring prompt monitoring, a broad AI answer index, or an enterprise data workflow. This comparison starts with that buying decision.
Vendor facts checked against official public pages on July 16, 2026. Plans and capabilities can change; follow each official source before purchasing.
Quick comparison
This table compares workflow fit, not a universal winner. Platform breadth and recurring automation are valuable when the team will use them; a focused report is often more practical for a first decision.
| Tool | Best fit | Buying model | Current public scope | Source |
|---|---|---|---|---|
| TrackAIMentions | Founders, marketers, and agencies that want a free check or one-time report before buying ongoing monitoring | Free checker + one-time reports | ChatGPT-style answers and Perplexity | TrackAIMentions pricing |
| Ahrefs Brand Radar | Teams that want a large search-backed prompt index plus custom prompt tracking inside a broader SEO data platform | Subscription indexes and custom prompt packages | Multiple AI answer platforms plus web, search, and emerging channel data | Official Ahrefs documentation |
| Semrush AI Visibility | Existing Semrush users that need recurring prompt tracking, competitor research, and AI readiness work in one toolkit | Per-domain subscription | ChatGPT, Google AI, Gemini, and Perplexity in the current Base plan description | Official Semrush pricing |
| Otterly.AI | Smaller teams that want recurring prompts, daily tracking, brand reports, citations, and multi-country support | Tiered recurring plans | Google AI Overviews, ChatGPT, Perplexity, and Copilot, with additional surfaces available by plan or add-on | Official Otterly.AI help center |
| Peec AI | Brands and agencies that need recurring multi-project AI search analytics with configurable prompts and models | Prompt- and project-based subscriptions | A choice of supported AI models, with broader access on higher plans | Official Peec AI pricing |
How to choose LLM visibility software
Prompt methodology
Check whether the tool separates organic category questions from branded and comparison prompts. Naming the target brand changes what the result can prove.
Sampling and repeatability
AI answers vary. Look for saved prompts, disclosed sample counts, answer evidence, and a clear distinction between a snapshot and statistically robust monitoring.
Model and market coverage
More engines are useful only when they match the markets your buyers use. Do not pay for breadth before confirming the core business question.
Evidence and actions
A visibility score is not enough. Useful software should expose prompts, competitors, citations where available, and the reason behind each recommended action.
Buying model
Choose a one-time report for a baseline or decision point. Choose a subscription when the team genuinely needs recurring prompts, projects, workspaces, exports, or integrations.
Report Or Dashboard
Choose the lightest workflow that answers the decision
A free check and Snapshot are not replacements for enterprise monitoring. They are a lower-commitment way to establish whether a visibility gap exists and what evidence deserves attention next.
Start with a report
Best for a first baseline, proposal, quarterly review, campaign checkpoint, or one brand that does not need a permanent analytics workspace.
Buy recurring monitoring
Best when someone owns a stable prompt library and needs daily or weekly trends, many brands, more models, exports, integrations, alerts, or governance.
What TrackAIMentions measures
The main score counts organic questions where the person did not name the target brand. Comparison and branded questions remain auxiliary diagnostics. The free check uses five organic questions; Snapshot uses 11 organic scoring questions plus nine auxiliary checks across ChatGPT-style answers and Perplexity.
FAQ
What is LLM visibility software?
LLM visibility software checks how a brand appears in AI-generated answers. Depending on the product, it may measure mentions, recommendation order, citations, sentiment, competitors, prompts, or changes across repeated checks.
What is the best LLM visibility tool for a first audit?
For a first audit, prioritize a transparent prompt set, organic questions that do not name the brand, answer evidence, competitor context, and a clear report. Continuous monitoring is useful later when the team has a stable scope and an owner for the data.
Is an LLM visibility tracker the same as a Google rank tracker?
No. AI answers do not provide a stable blue-link position. LLM visibility tools sample whether a brand is mentioned, recommended, cited, or framed against competitors for a defined prompt set.
Can I check LLM visibility for free?
Yes. A free check or manual prompt sample can reveal obvious gaps. Treat it as directional evidence; use a larger report or recurring platform only when the decision needs broader coverage or repeated measurement.