App store optimization tools · October 2026 Edition
Sensor Tower vs Sonar
Zero of fourteen models named Sensor Tower first on the direct prompt; zero named Sonar. Sensor Tower was named by fourteen of the fourteen models and Sonar by nine and Sensor Tower carries 48 labels and Sonar 11, so the shares are not directly comparable.
United States, founded 2013. Named in four categories this edition.
Named in one category this edition.
First-choice share7%2%Of first choices across the direct, paraphrase, budget and scale prompts, 0 to 100.
Negative rate40%18%Negative labels as a share of the product's labels, 0 to 100.
Rank in category#5#8A position in a field of 9; printed, not drawn.
Labels4811A count; the two differ.
The two percentage rows are drawn on one 0 to 100 track, Sensor Tower reading right to left. Rank and label count are printed, not drawn.AppTweak was named alongside these two in twelve of the fourteen direct answers. AppTweak vs Sensor Tower · AppTweak vs Sonar · Appfigures vs Sensor Tower
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
How many of the fourteen models made each the first choice, per way of asking, and how many argued against it.
Sensor TowerFirst choices, of fourteen modelsSonar
Direct007 against Sensor Tower · 1 against Sonar
Paraphrase006 against Sensor Tower
Comparative302 against Sensor Tower
Budget-constrained011 against Sensor Tower · 1 against Sonar
Scale-constrained401 against Sensor Tower
Negative002 against Sensor Tower
Bars are first choices, 0 to 14 each sideModels that argued againstA model can name both, so the two sides of a row do not sum to fourteen.
Every model, every framing
The eighty-four answers behind the chart above, one cell each: where Sensor Tower and Sonar stood in it.
| 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 | | | | | |
Sensor Tower Sonar first choice named as an alternative argued againstblank: not namedEach cell is one answer, Sensor Tower on the left and Sonar on the right.The direct prompt
The plain question, one answer per model, grouped by where Sensor Tower and Sonar stood in it.
Neither was the first choice, one was named
1 of 14 modelsThe answer put something else first and named one of the two as an alternative.Claude Haiku 4.5AppTweak, Appfigures alternatives: AppFollow, Lengreo, Sensor Tower
Neither was named
13 of 14 modelsThe answer made no first choice from these two in this category.GPT-5.4 miniAppTweak alternatives: App Radar, MobileAction, SplitMetrics Optimize
Gemini 3.5 FlashAppTweak alternatives: App Radar, AppFollow, MobileAction
Perplexity SonarAppTweak alternatives: MobileAction
Grok 4.1 FastAppTweak alternatives: App Radar, AppFollow, Mobile Action
Mistral SmallGuideflow alternatives: AppFollow, Applytics, MobileAction
DeepSeek V4 FlashAppTweak alternatives: App Follow, MobileAction
Llama 4 MaverickApplytics alternatives: AppFollow, AppTweak, Guideflow
Qwen 3.7 FlashApp Radar, AppTweak alternatives: AppFollow
Kimi K2AppTweak alternatives: AppFollow, MobileAction
GLM 4.7 FlashXAppTweak alternatives: App Radar, AppFollow, Appfigures
MiniMax M2.5App Radar, AppTweak alternatives: ASO.dev, AppFollow, MobileAction
GPT-6 LunaMobileAction ASO Intelligence Pro alternatives: AppTweak Grow
Muse Glimmer 30BAppTweak alternatives: App Radar, Applytics
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
The same question asked on behalf of a different buyer. Each standing is computed within its segment and they are never added together. The figures above are the mid-market standing, which is the one the category orders by.
Small business
Mid-marketThe figures above
The order flips: Sensor Tower leads at mid-market.
Sensor Tower7%#5 of 9Sonar2%#8 of 9Enterprise
Sensor Tower leads by forty-seven points.
Sensor Tower47%#1 of 8Sonar0%#– of 8What the models said about Sensor Tower
Every negative label with a quote, up to three, then the highest-weighted positives, up to three. Six of eight in this category shown.
“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
What the models said about Sonar
Every negative label with a quote, up to three, then the highest-weighted positives, up to three. Five of six in this category shown.
“solid but start paid and lack fully free equivalents matching AppFollow's breadth” Grok 4.1 Fast · budget prompt · soft negative
“Too lightweight for B2B needs (from $29/mo)” DeepSeek V4 Flash · direct prompt · soft negative
“If you have ~$30/month: Go with Sonar. It offers the cleanest search volume/difficulty data for the price” Gemini 3.5 Flash · budget prompt · first choice
“Best for Indie Developers: Sonar ... Excellent value, covers all core ASO tasks” GLM 4.7 FlashX · budget prompt · alternative
“If you are a solo/indie developer: Start with Sonar or ASOMobile.” Gemini 3.5 Flash · comparative prompt · alternative
Also compared
AppTweak vs Sensor TowerAppTweak vs SonarAppfigures vs Sensor TowerAppfigures vs SonarAppFollow vs Sensor TowerAppFollow vs SonarApp Radar vs Sensor TowerApp Radar vs SonarSensor Tower vs MobileActionSensor Tower vs ASOMobileMobileAction vs SonarASOMobile vs SonarAll twenty-eight head-to-head pages and the full app store optimization standing
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.