AppFollow vs App Radar
Zero of fourteen models named AppFollow first on the direct prompt; two named App Radar. Both were named by all fourteen models and both carry 47 labels, so the shares below are directly comparable.
Named in three categories this edition.
Named in two categories this edition.
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; every quote names the model and the prompt it came from. Both figures come from the app store optimization tools page.
By framing
AppFollowFirst choices, of fourteen modelsApp Radar
Across every category in the October 2026 Edition, AppFollow and App Radar were named in the same answer seventy-two times, of the 136 answers naming AppFollow and the 124 naming App Radar. In those answers App Radar took the first choice ten times and AppFollow six.
Every model, every framing
| Model | Direct | Paraphrase | Comparative | Budget-constrained | Scale-constrained | Negative |
|---|---|---|---|---|---|---|
| Claude Haiku 4.5 | | | | |||
| GPT-5.4 mini | | | | |||
| Gemini 3.5 Flash | | | | | | |
| Perplexity Sonar | | | | | ||
| Grok 4.1 Fast | | | | | | |
| Mistral Small | | | | | ||
| DeepSeek V4 Flash | | | | | | |
| Llama 4 Maverick | | | | |||
| Qwen 3.7 Flash | | | | | | |
| Kimi K2 | | | | | | |
| GLM 4.7 FlashX | | | | | ||
| MiniMax M2.5 | | | | |||
| GPT-6 Luna | | | ||||
| Muse Glimmer 30B | | | | |
AppFollow App Radar first choice named as an alternative argued againstblank: not namedEach cell is one answer, AppFollow on the left and App Radar on the right.The direct prompt
App Radar first, AppFollow an alternative
2 of 14 modelsAppFollow was named in the answer but not as the choice, or not at all.Neither was the first choice, one was named
9 of 14 modelsThe answer put something else first and named one of the two as an alternative.Neither was named
3 of 14 modelsThe answer made no first choice from these two in this category.Bold names in an answer are the products the judge labeled a first choice; a model naming several gives each of them that label. The full answer text for every row is in the record.
By buyer segment
AppFollow11%#3 of 11App Radar11%#2 of 11AppFollow7%#3 of 9App Radar7%#4 of 9AppFollow15%#3 of 8App Radar0%#8 of 8What the models said about AppFollow
Every negative label with a quote, up to three, then the highest-weighted positives, up to three. Four of five in this category shown.
“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
What the models said about App Radar
Every negative label with a quote, up to three, then the highest-weighted positives, up to three. Six of seven in this category shown.
“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
Comparisons are drawn for the top eight products in each category, each against each. The output is the models' output; nothing here is a recommendation by the index.