Quick Verdict
Two AI visibility trackers launched in 2025, but they couldn't be more different in approach. Gumshoe AI takes the pay-per-report route with a persona-driven strategy, while Radix builds a comprehensive analytics platform that connects to your existing data stack.
The core difference comes down to commitment level. Gumshoe lets you test the waters with individual reports at $30 each, perfect for agencies billing specific projects. Radix wants to be your permanent AI visibility dashboard, though they're keeping pricing under wraps for now.
Score comparison
Score Comparison
| Dimension | Gumshoe AI | Radix |
|---|---|---|
| Feature Depth | 12.0 | 29.0 |
| Ease of Use | 15.0 | 50.0 |
| Data Quality | 18.0 | 42.0 |
| Value for Money | 63.0 | 55.0 |
| Integration | 0.0 | 0.0 |
| Market Traction | 6.0 | 6.0 |
Feature comparison
| Feature | Gumshoe AI | Radix |
|---|---|---|
| Persona-Driven Query Prediction | ✓ | — |
| Pay-Per-Report Pricing | ✓ | — |
| Competitive Citation Analysis | ✓ | — |
| Tactical Recommendations | ✓ | — |
| Cross-Platform Coverage | ✓ | — |
| Historical Tracking | ✓ | — |
| Prompt Testing | — | ✓ |
| Citation Tracking | — | ✓ |
| Competitor Benchmarking | — | ✓ |
| AI Visitor Analytics | — | ✓ |
Pricing comparison
| Plan | Gumshoe AI | Radix |
|---|---|---|
| Free Trial | Free | Contact for pricing |
| Single Report | $30 | — |
| 5-Pack Reports | $125 | — |
| Enterprise | Custom | — |
Feature Comparison
Gumshoe's persona approach stands out — you define target audience profiles and it predicts what AI queries those people might ask. This beats generic keyword tracking because it mirrors how real users actually prompt ChatGPT or Claude. You get competitive rankings, source citation tracking, and specific tactical recommendations per report. Radix focuses on measurement depth rather than prediction. Their prompt testing engine counts how often brands get recommended across different AI models. The citation tracking shows which sources get referenced, and the competitor benchmarking reveals your share of AI recommendations versus rivals. But their killer feature is AI visitor analytics that plugs into Google Analytics or similar platforms. Radix clearly has more comprehensive monitoring capabilities. Gumshoe gives you snapshots; Radix gives you continuous tracking with historical data trends.
Pricing Comparison
Gumshoe's $30 per report makes budgeting simple. Run one report monthly for a client? That's $360 annually. Need deeper analysis? Commission five reports at $150 total. No recurring fees means you control spending completely. Radix hasn't revealed pricing yet, which usually signals enterprise-level costs. Given their analytics integrations and continuous monitoring approach, expect monthly subscription tiers starting around $200-500. The value depends on whether you need ongoing visibility or just periodic checkups.
Best For
Gumshoe AI works best for agencies, consultants, and businesses that want AI visibility insights on demand. The persona-driven reports make client presentations compelling, and pay-per-use pricing eliminates subscription overhead. Perfect for testing AI optimization strategies before committing to larger investments. Radix suits enterprises and brands that consider AI visibility a core KPI. If you're already tracking traditional SEO metrics monthly and want AI data flowing into the same dashboards, Radix's analytics integrations deliver that continuity. The continuous monitoring catches AI algorithm changes that snapshot reports miss.
The Verdict
Choose Gumshoe AI if you're testing AI optimization waters or need flexible reporting for client work. The persona approach produces actionable insights without monthly commitments. Choose Radix if AI visibility is mission-critical and you want comprehensive monitoring integrated with existing analytics workflows. Start with a Gumshoe report to understand your current AI visibility, then decide if continuous Radix monitoring justifies the likely higher cost.
Our verdict
For features, radix-ai leads. On a budget, go with gumshoe-ai.