Appfigures vs App Radar
One of fourteen models named Appfigures first on the direct prompt; two named App Radar. Appfigures was named by thirteen of the fourteen models and App Radar by fourteen and Appfigures carries 28 labels and App Radar 47, so the shares are not directly comparable.
Named in two 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
AppfiguresFirst choices, of fourteen modelsApp Radar
Across every category in the October 2026 Edition, Appfigures and App Radar were named in the same answer sixty times, of the 93 answers naming Appfigures and the 124 naming App Radar. In those answers App Radar took the first choice six times and Appfigures fourteen.
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 | | | | |
Appfigures App Radar first choice named as an alternative argued againstblank: not namedEach cell is one answer, Appfigures on the left and App Radar on the right.The direct prompt
Appfigures first, App Radar not the choice
1 of 14 modelsApp Radar was named in the answer but not as the choice, or not at all.App Radar first, Appfigures not the choice
2 of 14 modelsAppfigures was named in the answer but not as the choice, or not at all.Neither was the first choice, one was named
5 of 14 modelsThe answer put something else first and named one of the two as an alternative.Neither was named
6 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
Appfigures27%#1 of 11App Radar11%#2 of 11What the models said about Appfigures
Every negative label with a quote, up to three, then the highest-weighted positives, up to three. Five of six in this category shown.
“Almost all major ASO tools (e.g., AppTweak, MobileAction, Sensor Tower, AppFigures, Astro) offer proprietary metrics” Gemini 3.5 Flash · negative prompt · soft negative
“Not robust enough for serious ASO strategy” DeepSeek V4 Flash · direct prompt · soft negative
“My top pick for a limited budget: Appfigures – At just $9.99/month, it gives you a professional-grade tool” DeepSeek V4 Flash · budget prompt · first choice
“Stick with well-reviewed, mature ASO platforms like AppTweak, AppFollow, or Appfigures” Mistral Small · negative prompt · first choice
“or Appfigures if you can spend a little and want stronger analytics in one place” 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.