Quick Verdict
Gumshoe AI and LLMrefs take fundamentally different approaches to AI search visibility tracking. Gumshoe focuses on persona-driven analysis where you build audience profiles and let their algorithm predict relevant queries, while LLMrefs uses a keyword-first methodology powered by 4.5 million real ChatGPT prompts.
The pricing models couldn't be more different either. Gumshoe charges $30 per report with no ongoing subscription, making it attractive for occasional deep-dives. LLMrefs starts free and likely scales with usage, following the traditional SaaS playbook that most SEOs already understand.
Score comparison
Score Comparison
| Dimension | Gumshoe AI | LLMrefs |
|---|---|---|
| Feature Depth | 12.0 | 20.0 |
| Ease of Use | 15.0 | 35.0 |
| Data Quality | 18.0 | 32.0 |
| Value for Money | 63.0 | 75.0 |
| Integration | 0.0 | 0.0 |
| Market Traction | 6.0 | 9.0 |
Feature comparison
| Feature | Gumshoe AI | LLMrefs |
|---|---|---|
| Persona-Driven Query Prediction | ✓ | — |
| Pay-Per-Report Pricing | ✓ | — |
| Competitive Citation Analysis | ✓ | — |
| Tactical Recommendations | ✓ | — |
| Cross-Platform Coverage | ✓ | — |
| Historical Tracking | ✓ | — |
| Multi-Platform Citation Tracking | — | ✓ |
| 4.5M+ ChatGPT Dataset | — | ✓ |
| AI Crawlability Checker | — | ✓ |
| LLMs.txt Generator | — | ✓ |
| Reddit Threads Finder | — | ✓ |
| A/B Content Tester | — | ✓ |
Pricing comparison
| Plan | Gumshoe AI | LLMrefs |
|---|---|---|
| Free Trial | Free | $0 |
| Single Report | $30 | Contact for pricing |
| 5-Pack Reports | $125 | — |
| Enterprise | Custom | — |
Feature Comparison
LLMrefs covers more AI platforms in a single dashboard — ChatGPT, Google AI Overviews, Perplexity, Gemini, and Claude — while Gumshoe appears to focus on competitive ranking without specifying exact platforms. LLMrefs uses actual UI crawling rather than API calls, which means you see exactly what users see but potentially face more technical hurdles. Gumshoe's persona approach is genuinely different. Instead of starting with keywords, you define target customer segments and Gumshoe reverse-engineers the queries those people might ask. This works well for brands that understand their audience but struggle to imagine every possible AI search scenario. LLMrefs takes the opposite route — their 4.5M prompt dataset generates automatic queries from your keywords, covering more ground but potentially missing nuanced audience insights. The statistical significance approach in LLMrefs addresses a real problem: AI responses vary between identical prompts. They run multiple iterations to establish reliable baselines. Gumshoe doesn't mention this methodology, which could mean less consistent data or a different approach to handling AI response variability.
Pricing Comparison
Starting costs favor LLMrefs with their free tier versus Gumshoe's $30 minimum. But Gumshoe's pay-per-report model works better for agencies or consultants who need comprehensive analysis for specific clients without ongoing monthly overhead. If you're tracking AI visibility for just 2-3 projects annually, Gumshoe's approach saves money compared to year-round SaaS subscriptions. LLMrefs likely charges based on tracked keywords or queries once you exceed free limits, though exact pricing isn't specified. For continuous monitoring across multiple domains, this probably scales more affordably than paying $30 per Gumshoe report every month.
Best For
Gumshoe AI works better for consultants, agencies, or brands doing periodic competitive analysis. The persona-driven approach excels when you have clear audience segments but need help discovering how they interact with AI search. The pay-per-report model fits project-based work where you need comprehensive insights without ongoing costs. LLMrefs suits in-house teams monitoring AI visibility continuously across multiple brands or competitors. The free tier lets you test the waters, and the keyword-based approach feels familiar to anyone already doing traditional SEO. The multi-platform coverage gives you a complete picture of AI search performance in one place.
The Verdict
LLMrefs wins for most SEO teams because it covers more platforms, starts free, and uses familiar keyword methodology that integrates with existing workflows. The 4.5M prompt dataset provides better query coverage than manual persona definition for most use cases. Choose Gumshoe AI if you need deeper audience insights and prefer paying for reports only when you need them. Start with LLMrefs' free tier to understand AI visibility basics, then upgrade based on your actual monitoring needs.
Our verdict
For features, llmrefs leads. On a budget, go with llmrefs.