# AppTweak vs AppFollow: which do AI models recommend for app store optimization, October 2026

GTM AI Recommendation Index, October 2026 Edition, App store optimization tools. Eleven of fourteen models named AppTweak first on the direct prompt; zero named AppFollow. Page: https://gtm-ai-index.com/marketing/app-store-optimization/apptweak-vs-appfollow/

| | First-choice share | Rank | Negative rate | Labels | Models naming it |
|---|---|---|---|---|---|
| AppTweak | 39% | #1 of 9 | 9% | 57 | 14 of 14 |
| AppFollow | 7% | #3 of 9 | 2% | 47 | 14 of 14 |

## The direct prompt, model by model

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

## What the models said about AppTweak

- "Almost all major ASO tools (e.g., AppTweak, MobileAction, Sensor Tower, AppFigures, Astro) offer proprietary metrics... these metrics are entirely educated guesses" (Gemini 3.5 Flash, negative prompt, soft negative)
- "Some like AppTweak or Adjust get flak on G2/Reddit for data inaccuracies, slow loads, high costs, or poor support, but they're not outright scams" (Grok 4.1 Fast, negative prompt, soft negative)
- "Trade-off: More expensive at scale; better suited for companies prioritizing deep intelligence over execution workflows" (Kimi K2, paraphrase prompt, soft negative)
- "AppTweak is widely considered the most comprehensive platform... Choose AppTweak if you want the "Swiss Army Knife" approach to app growth. It is the best balance of features and usability." (GLM 4.7 FlashX, comparative prompt, first choice)
- "AppTweak: Widely considered the gold standard for dedicated ASO teams. Highly accurate, offers great ASA integration, and has robust multi-language features." (Gemini 3.5 Flash, scale prompt, first choice)
- "If you are an agency or full-time ASO manager: Use AppTweak. The accuracy of their semantic search tool and their historical data is critical" (Gemini 3.5 Flash, comparative prompt, first choice)

## What the models said about AppFollow

- "AppFollow (Proceed with Caution)" (GLM 4.7 FlashX, negative prompt, soft negative)
- "AppFollow: It is a comprehensive ASO platform that offers keyword research, competitor tracking, and market intelligence." (Llama 4 Maverick, paraphrase prompt, first choice)
- "I'd generally recommend AppFollow as the best fit if your main goal is mobile app rankings / ASO" (GPT-5.4 mini, paraphrase prompt, first choice)
- "the strongest overall pick is AppFollow's free tier if you need the broadest no-cost coverage" (Perplexity Sonar, budget 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.