Quick Verdict
Two new players entered the AI visibility tracking space this year, and they couldn't be more different in approach. Mentions.so built for agencies and teams who need to report on AI mentions to multiple clients. Radix focuses on comprehensive testing — they actually run prompts against AI models to see which brands get recommended most often.
The core difference comes down to who's asking the questions. If you're tracking AI mentions for your own brand or a handful of clients, Radix gives you deeper intelligence about why and when AI models recommend your competitors. If you're an agency managing dozens of brands, Mentions.so's unlimited seats and white-label reports make more sense.
Score comparison
Score Comparison
| Dimension | Mentions.so | Radix |
|---|---|---|
| Feature Depth | 22.0 | 29.0 |
| Ease of Use | 35.0 | 50.0 |
| Data Quality | 58.0 | 42.0 |
| Value for Money | 79.0 | 55.0 |
| Integration | 0.0 | 0.0 |
| Market Traction | 3.0 | 6.0 |
Feature comparison
| Feature | Mentions.so | Radix |
|---|---|---|
| Unlimited Team Seats | ✓ | — |
| AI Visitor Attribution | ✓ | — |
| White-Label Reporting | ✓ | — |
| Auto-Generated Insights | ✓ | — |
| Prompt Testing | — | ✓ |
| Citation Tracking | — | ✓ |
| Competitor Benchmarking | — | ✓ |
| AI Visitor Analytics | — | ✓ |
Pricing comparison
| Plan | Mentions.so | Radix |
|---|---|---|
| Starter | $49/mo | Contact for pricing |
| Pro | $149/mo | — |
| Agency | $399/mo | — |
| Enterprise | Custom | — |
Feature Comparison
Radix wins on depth of analysis. Their prompt testing feature runs actual queries against ChatGPT, Claude, and other models to count brand recommendations. You get competitor benchmarking data showing exactly which prompts trigger recommendations for rival brands versus yours. The citation tracking connects these mentions back to specific content pieces, so you know which blog posts or pages drive AI recommendations. Mentions.so takes a different angle with visitor tracking. Instead of testing prompts, they measure actual AI-referred traffic hitting your website. Their auto-generated insights compile this data into digestible reports without manual analysis. The bulk client management system lets agencies monitor dozens of brands from one dashboard — something Radix doesn't offer. Both tools connect to existing analytics platforms, but Radix's integration appears more sophisticated based on their emphasis on "connectable analytics." Mentions.so focuses on branded reporting over deep data connections.
Pricing Comparison
Mentions.so starts at $49 monthly with unlimited team seats included. Their Agency plan costs $399 monthly and adds white-label reporting capabilities. For agencies billing AI visibility tracking as a service, that white-label feature could justify the higher cost within a few client contracts. Radix hasn't published pricing yet, which makes direct comparison impossible. Given their focus on comprehensive prompt testing and competitor analysis, expect pricing similar to enterprise SEO tools rather than simple monitoring dashboards.
Best For
Mentions.so works better for agencies and teams already selling AI visibility services. The unlimited seats mean no per-user fees as your team grows. White-label reports let you brand the insights as your own work. The visitor tracking approach requires less technical setup than running prompt tests across multiple AI models. Radix suits brands taking AI recommendations seriously as a competitive intelligence source. If you need to understand why competitors get recommended for industry-specific prompts, their testing methodology provides answers Mentions.so can't. The citation tracking helps content teams see which pieces drive AI mentions most effectively.
The Verdict
Choose Mentions.so if you're an agency or large team that needs simple AI mention tracking with branded reporting. Choose Radix if you want deeper competitive intelligence about AI recommendation patterns, even without knowing the exact pricing yet. For most solo brands, wait until Radix publishes their pricing — their feature set suggests they're targeting enterprise budgets rather than individual practitioners.
Our verdict
For features, radix-ai leads. On a budget, go with radix-ai.