# App Radar vs Sensor Tower: which do AI models recommend for app store optimization, October 2026

GTM AI Recommendation Index, October 2026 Edition, App store optimization tools. Two of fourteen models named App Radar first on the direct prompt; zero named Sensor Tower. Page: https://gtm-ai-index.com/marketing/app-store-optimization/app-radar-vs-sensor-tower/

| | First-choice share | Rank | Negative rate | Labels | Models naming it |
|---|---|---|---|---|---|
| App Radar | 7% | #4 of 9 | 6% | 47 | 14 of 14 |
| Sensor Tower | 7% | #5 of 9 | 40% | 48 | 14 of 14 |

## The direct prompt, model by model

- Qwen 3.7 Flash: app radar first (first choices: App Radar, AppTweak) (alternatives: AppFollow)
- MiniMax M2.5: app radar first (first choices: App Radar, AppTweak) (alternatives: ASO.dev, AppFollow, MobileAction)
- Claude Haiku 4.5: neither first, one named (first choices: AppTweak, Appfigures) (alternatives: AppFollow, Lengreo, Sensor Tower)
- GPT-5.4 mini: neither first, one named (first choices: AppTweak) (alternatives: App Radar, MobileAction, SplitMetrics Optimize)
- Gemini 3.5 Flash: neither first, one named (first choices: AppTweak) (alternatives: App Radar, AppFollow, MobileAction)
- Grok 4.1 Fast: neither first, one named (first choices: AppTweak) (alternatives: App Radar, AppFollow, Mobile Action)
- GLM 4.7 FlashX: neither first, one named (first choices: AppTweak) (alternatives: App Radar, AppFollow, Appfigures)
- Muse Glimmer 30B: neither first, one named (first choices: AppTweak) (alternatives: App Radar, Applytics)
- Perplexity Sonar: neither named (first choices: AppTweak) (alternatives: MobileAction)
- Mistral Small: neither named (first choices: Guideflow) (alternatives: AppFollow, Applytics, MobileAction)
- DeepSeek V4 Flash: neither named (first choices: AppTweak) (alternatives: App Follow, MobileAction)
- Llama 4 Maverick: neither named (first choices: Applytics) (alternatives: AppFollow, AppTweak, Guideflow)
- Kimi K2: neither named (first choices: AppTweak) (alternatives: AppFollow, MobileAction)
- GPT-6 Luna: neither named (first choices: MobileAction ASO Intelligence Pro) (alternatives: AppTweak Grow)

## What the models said about App Radar

- "starts at €69/month (~$75) ... Better if you have a slightly larger budget." (DeepSeek V4 Flash, budget prompt, soft negative)
- "the results do not position it as strongly for mid-market B2B as AppTweak" (Perplexity Sonar, direct prompt, soft negative)
- "Lacks the deep market intelligence B2B needs" (DeepSeek V4 Flash, direct prompt, soft negative)
- "Reputable options include: AppTweak, App Radar, ASODesk, and AppFollow" (Kimi K2, negative prompt, first choice)
- "points to AppTweak and AppRadar as the leading choices" (Qwen 3.7 Flash, direct prompt, first choice)
- "suggested: AppTweak, App Radar, or Sensor Tower for enterprise" (Kimi K2, scale prompt, first choice)

## What the models said about Sensor Tower

- "Enterprise pricing (custom, typically $25K+/year), overkill for mid-market needs" (Kimi K2, direct prompt, hard negative)
- "Overkill and overpriced for a mid-sized B2B company focused on ASO execution." (DeepSeek V4 Flash, paraphrase prompt, hard negative)
- "high-tier Sensor Tower or MobileAction are incredible resources for massive marketing teams. However, they often lock their most useful keyword tools behind expensive enterprise-level subscriptions" (Gemini 3.5 Flash, negative prompt, soft negative)
- "Leads in keyword research with the most comprehensive keyword database, real-time difficulty scores, and search volume estimates." (Mistral Small, comparative prompt, first choice)
- "Prioritize tools like Sensor Tower, data.ai (App Annie), AppTweak, or App Radar, which often suit enterprises with custom pricing" (Grok 4.1 Fast, scale prompt, first choice)
- "The dominant player in mobile market intelligence... depth of market intelligence (Sensor Tower is the clear leader)" (DeepSeek V4 Flash, comparative prompt, first choice)

Share is the count of first choices across the direct, paraphrase, budget and scale prompts over all fourteen models, for a mid-market B2B company; rank is within the category. Comparisons are drawn for the top eight products in each category. Published under CC BY 4.0; the output is the models' output, and nothing here is a recommendation by the index.