Sensor Tower vs MobileAction
Zero of fourteen models named Sensor Tower first on the direct prompt; zero named MobileAction. Sensor Tower was named by fourteen of the fourteen models and MobileAction by twelve and Sensor Tower carries 48 labels and MobileAction 32, so the shares are not directly comparable.
United States, founded 2013. Named in four 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
Sensor TowerFirst choices, of fourteen modelsMobileAction
Across every category in the October 2026 Edition, Sensor Tower and MobileAction were named in the same answer sixty-six times, of the 176 answers naming Sensor Tower and the 95 naming MobileAction. In those answers MobileAction took the first choice five times and Sensor Tower thirteen.
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 | | | | |
Sensor Tower MobileAction first choice named as an alternative argued againstblank: not namedEach cell is one answer, Sensor Tower on the left and MobileAction on the right.The direct prompt
Neither was the first choice, one was named
8 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
MobileAction4%#7 of 11Sensor Tower0%#11 of 11Sensor Tower7%#5 of 9MobileAction5%#6 of 9Sensor Tower47%#1 of 8MobileAction0%#6 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 MobileAction
Every negative label with a quote, up to three, then the highest-weighted positives, up to three. Five of six in this category shown.
“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
“More agency-oriented; strong ASA automation but less B2B-specific brand/competitor intelligence.” DeepSeek V4 Flash · paraphrase prompt · soft negative
“This is a great starting point for small teams or startups that need basic ASO insights without a financial commitment.” Mistral Small · budget prompt · first choice
“I'd start with MobileAction Pro for a mid-sized B2B company focused on app-store rankings.” GPT-6 Luna · paraphrase prompt · first choice
“shortlist AppTweak or MobileAction for hands-on ASO” GPT-6 Luna · comparative 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.