An LLM prompt tracker runs your priority prompts against AI models on a schedule and records how the answers evolve - whether you are mentioned, how you compare to competitors, and which sources get cited. Because AI answers shift constantly, one-off checks are not enough; you need ongoing tracking to know if your visibility is improving or slipping.
Here are the best LLM prompt tracker tools in 2026, with what each does well.
Quick comparison
| Tool | Best for | Prompt-level tracking | Starting price |
|---|---|---|---|
| Avrae | Focused, affordable prompt monitoring | Yes | Affordable / free audit |
| Profound | Enterprise prompt analytics | Yes | ~$499/mo |
| Peec AI | Multi-language prompt dashboards | Yes | ~€89/mo |
| Otterly.AI | AI search prompt + link tracking | Yes | ~$29/mo |
| Mentions.so | Agency prompt monitoring | Yes | ~$49/mo |
| Writesonic | Tracking + content workflow | Yes | ~$249/mo |
| AthenaHQ | Recommendation-focused tracking | Yes | ~$295/mo |
What to look for in a prompt tracker
- Multi-model coverage - the same prompt answered across ChatGPT, Perplexity, Gemini, Claude, and Grok.
- Historical trends - not just today's answer, but the trajectory over weeks.
- Competitor share of voice - who else gets named in your prompts.
- Citation visibility - which URLs the model used.
- Sentiment - positive, neutral, or negative framing of your brand.
- Alerts - notification when a key prompt changes.
How we picked these tools
We ranked tools based on whether they help teams answer the questions prompt tracking is supposed to answer: are we mentioned, how has the answer changed, which competitors appear, what sources are cited, and what should we do next? Prompt-level tracking is the baseline. Citation depth, competitor share of voice, history, and clear reporting are what make the data useful.
The tools
1. Avrae - best for focused, affordable prompt monitoring
Avrae is built around exactly this job. You define the prompts that matter - "best [category] tool", "[brand] vs [competitor]", "how do I [problem]" - and Avrae tracks them across ChatGPT, Perplexity, Gemini, Claude, Grok, and Google AI Mode.
- Prompt intelligence tracks each prompt's answer over time.
- Citation analytics reveals the sources behind the answers.
- Competitor analysis shows your share of voice per prompt.
- Start free with the AI SEO audit.
Honest take: Avrae is newer and intentionally focused on visibility and prompt tracking rather than a sprawling enterprise suite. For teams that want clear prompt monitoring without complexity, that focus is the point.
2. Profound - enterprise prompt analytics
Profound is the strongest fit for enterprise teams that need deep prompt analytics, reporting, and internal stakeholder support. It is more than a prompt tracker; it is an enterprise AI visibility intelligence platform.
Key features:
- Advanced prompt and conversation analytics.
- Conversation explorer for deeper answer review.
- Competitor and category intelligence.
- Enterprise reporting and support.
Pricing: Profound is commonly cited from around $499/mo, with enterprise tiers above that. Confirm current pricing directly. See Profound alternatives.
Pros:
- Strong enterprise fit.
- Deep analytics beyond basic prompt tracking.
- Useful for large teams with reporting needs.
Cons:
- Expensive for startups and SMBs.
- More complexity than a lean prompt tracker.
- Slower path to a simple baseline.
Best for: large teams that need enterprise prompt analytics.
3. Peec AI - multi-language prompt dashboards
Peec AI is a good prompt tracker for teams that need multi-language dashboards. If your buyers ask AI questions in several languages or regions, Peec AI's international fit can matter more than having the biggest enterprise feature set.
Key features:
- Multi-language prompt tracking.
- Clean prompt-level dashboards.
- Competitor monitoring.
- Model coverage depending on plan.
Pricing: Peec AI is commonly cited around EUR89/mo, with possible add-ons for additional models or surfaces. Confirm total cost before buying. See Peec AI alternatives.
Pros:
- Strong multi-language fit.
- Clear dashboard experience.
- Lower entry point than enterprise suites.
Cons:
- Add-ons can raise cost.
- Less enterprise depth than Profound.
- No free baseline like Avrae's audit.
Best for: international teams tracking prompts across languages.
4. Otterly.AI - AI search prompt and link tracking
Otterly.AI is a practical option when prompt tracking and citation links are the main requirements. It gives teams a lower-cost way to monitor AI search answers and understand which links appear behind them.
Key features:
- AI search prompt monitoring.
- Link and citation tracking.
- Conversational keyword tracking.
- Accessible entry price.
Pricing: Otterly.AI is often cited around $29/mo at entry level. Confirm current prompt limits, refresh frequency, and tracked surfaces.
Pros:
- Affordable way to start.
- Good for link and citation visibility.
- Useful for teams testing AI search monitoring.
Cons:
- Less complete competitor strategy than dedicated visibility platforms.
- Not an enterprise analytics suite.
- Plan limits matter as prompt count grows.
Best for: teams that want low-cost prompt and citation tracking.
5. Mentions.so - agency prompt monitoring
Mentions.so is built for agencies that need to track prompts for multiple clients and package the results in client-ready reports. Its advantage is agency workflow, not necessarily the deepest analytics.
Key features:
- Prompt and mention monitoring.
- Competitor share-of-voice reporting.
- White-label reports.
- Agency-friendly seats and account structure.
Pricing: Mentions.so is commonly cited around $49/mo to start. Confirm current client, seat, and report limits before using it for delivery.
Pros:
- Strong agency fit.
- White-label reporting reduces manual work.
- Lower cost than enterprise platforms.
Cons:
- Less useful for single-brand teams that do not need client reporting.
- May need separate content and outreach tools.
- Less depth than enterprise analytics platforms.
Best for: agencies tracking prompts and mentions for multiple clients.
6. Writesonic - tracking inside a content workflow
Writesonic is useful when prompt tracking is tied to content creation. Instead of only monitoring prompts, it helps content teams move from visibility gaps to content drafts and optimization workflows.
Key features:
- AI visibility tracking inside a content platform.
- AI writing and content generation.
- Content optimization support.
- Workflow for acting on prompt gaps.
Pricing: Writesonic packages vary, and relevant visibility/content workflows are often cited around ~$249/mo. Confirm current feature inclusion before comparing it to dedicated prompt trackers.
Pros:
- Good for content-led teams.
- Connects monitoring to production.
- Useful if you already need AI writing.
Cons:
- Broader than pure prompt tracking.
- Citation and competitor depth may be less specialized.
- More tool than needed if you only want monitoring.
Best for: content teams that want to track prompts and produce content from the findings.
7. AthenaHQ - recommendation-focused tracking
AthenaHQ is a prompt tracker for teams that want heavier analytics and recommendations. It is useful when you want the platform to help prioritize where to improve, not simply show answer snapshots.
Key features:
- Prompt and AI visibility analytics.
- Recommendation-focused reporting.
- Competitor and category monitoring.
- More depth than basic trackers.
Pricing: AthenaHQ is commonly cited around $295/mo. Confirm current pricing and included usage. See AthenaHQ alternatives.
Pros:
- More analytical than budget tools.
- Useful for teams that want prioritization.
- Good middle ground below enterprise suites.
Cons:
- Higher price than lean trackers.
- More analytics than some teams need.
- No free baseline before buying.
Best for: data-driven teams that want recommendations from prompt tracking.
How to start tracking prompts
- List 10-25 prompts your buyers actually ask.
- Run a baseline with the AI SEO audit.
- Track them over time and watch share of voice and citations.
- Earn coverage on the sources AI cites - see how to get mentioned in AI.
Get your free Avrae audit report to start prompt tracking with Avrae.
FAQ
What is an LLM prompt tracker?
An LLM prompt tracker repeatedly runs important prompts across AI models and records how answers change over time. A useful tracker also shows brand mentions, competitor appearances, sentiment, citations, and historical trends.
Why track LLM prompts instead of keywords?
Keywords show how you rank in search results. Prompts show whether AI systems actually recommend you in the answers buyers see. AI answers often mention only a few brands, so prompt visibility can change buying decisions even when traditional rankings look fine.
How many prompts should I track?
Start with 10-25 high-intent prompts. Include category prompts, problem prompts, comparison prompts, and competitor prompts. Expand only after you know which prompts influence mentions and citations.
What is the best prompt tracker for small teams?
Avrae is a strong option for small teams because it combines prompt tracking with citation analytics, competitor analysis, and a free AI SEO audit.
Related: Best AI visibility platforms and the complete GEO guide.