Quick Verdict
LLMConsole and Qwairy both track how AI models mention your brand, but they approach the problem differently. LLMConsole launched as the early benchmark that other tools measure themselves against, while Qwairy arrived in 2025 with a more comprehensive approach to AI visibility tracking.
The choice between them comes down to whether you want straightforward monitoring or deeper analytics. LLMConsole focuses on the core problem — tracking when and how AI models reference your brand. Qwairy takes a broader view, combining response monitoring with crawler analytics and site diagnostics.
Score comparison
Score Comparison
| Dimension | LLMConsole | Qwairy |
|---|---|---|
| Feature Depth | 10.0 | 37.0 |
| Ease of Use | 35.0 | 35.0 |
| Data Quality | 18.0 | 82.0 |
| Value for Money | 75.0 | 75.0 |
| Integration | 0.0 | 30.0 |
| Market Traction | 7.0 | 5.0 |
Feature comparison
| Feature | LLMConsole | Qwairy |
|---|---|---|
| AI Model Response Monitoring | ✓ | — |
| Brand Mention Tracking | ✓ | — |
| Competitive Intelligence | ✓ | — |
| Response Analysis | ✓ | — |
| Prompt Monitoring | — | ✓ |
| Response Capture | — | ✓ |
| AI Analytics Dashboard | — | ✓ |
| Site Diagnostics for AI Discovery | — | ✓ |
| Brand Attribution Tracking | — | ✓ |
Pricing comparison
| Plan | LLMConsole | Qwairy |
|---|---|---|
| Contact for pricing | Unknown | Contact for pricing |
Feature Comparison
LLMConsole built the foundation for this category. Their monitoring captures AI model responses and tracks brand mentions across different prompts and contexts. It's the tool that established what LLM visibility tracking should look like, which explains why competitors reference it as their benchmark. Qwairy extends beyond basic monitoring into AI analytics territory. You get prompt monitoring and response capture like LLMConsole, but also crawler visit tracking that shows which AI systems are accessing your site. Their referrer attribution connects the dots between crawler activity and actual mentions in AI responses. The site diagnostics feature helps optimize your content for AI discovery — something LLMConsole doesn't address. The core difference is scope. LLMConsole tracks what happens after AI models respond. Qwairy tracks the entire pipeline from crawler visits through final AI responses.
Pricing Comparison
Neither tool has published pricing yet, which isn't surprising for such a new category. LLMConsole likely commands premium pricing as the established player that proved the market exists. Their first-mover advantage typically translates to higher prices until competition forces changes. Qwairy might price more aggressively to gain market share, especially since they're offering more features. But their expanded analytics could justify enterprise pricing that matches or exceeds LLMConsole's rates.
Best For
LLMConsole works best if you need proven LLM monitoring without complexity. It's the safe choice — the tool that other companies study and reference. If your main goal is understanding how AI models currently mention your brand, LLMConsole delivers that core functionality without additional features you might not need. Qwairy is better for comprehensive AI visibility management. The crawler tracking and site diagnostics help you influence future AI responses, not just monitor current ones. If you want to optimize for AI discovery and track the full funnel from crawler to mention, Qwairy's expanded feature set justifies the complexity.
The Verdict
Choose Qwairy for most use cases. The additional analytics and optimization features provide more value than LLMConsole's simpler approach. LLMConsole deserves credit for creating this category, but Qwairy's comprehensive tracking offers better long-term value for brands serious about AI visibility. Sign up for Qwairy's early access and start monitoring your AI presence before competitors catch up.
Our verdict
For features, qwairy leads. On a budget, go with llmconsole.