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App store optimization tools · October 2026 Edition

AppFollow vs Sensor Tower

Zero of fourteen models named AppFollow first on the direct prompt; zero named Sensor Tower. Both were named by all fourteen models and AppFollow carries 47 labels and Sensor Tower 48, so the shares are not directly comparable.

AppFollow

accepted challenger

Named in three categories this edition.

Sensor Tower

criticized challenger

United States, founded 2013. Named in four categories this edition.

First-choice share7%7%Of first choices across the direct, paraphrase, budget and scale prompts, 0 to 100.
Negative rate2%40%Negative labels as a share of the product's labels, 0 to 100.
Rank in category#3#5A position in a field of 9; printed, not drawn.
Labels4748A count; the two differ.
The two percentage rows are drawn on one 0 to 100 track, AppFollow 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 AppFollow · AppTweak vs Sensor Tower · Appfigures vs AppFollow

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.
AppFollowFirst choices, of fourteen modelsSensor Tower
Direct007 against Sensor Tower
Paraphrase206 against Sensor Tower
Comparative032 against Sensor Tower
Budget-constrained201 against Sensor Tower
Scale-constrained041 against Sensor Tower
Negative201 against AppFollow · 2 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.

Across every category in the October 2026 Edition, AppFollow and Sensor Tower were named in the same answer ninety-three times, of the 136 answers naming AppFollow and the 176 naming Sensor Tower. In those answers Sensor Tower took the first choice twenty-five times and AppFollow eleven.

Every model, every framing

The eighty-four answers behind the chart above, one cell each: where AppFollow and Sensor Tower stood in it.
ModelDirectParaphraseComparativeBudget-constrainedScale-constrainedNegative
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 Sensor Tower first choice named as an alternative argued againstblank: not namedEach cell is one answer, AppFollow on the left and Sensor Tower on the right.

The direct prompt

The plain question, one answer per model, grouped by where AppFollow and Sensor Tower stood in it.

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.
Claude Haiku 4.5AppTweak, Appfigures alternatives: AppFollow, Lengreo, Sensor Tower
Gemini 3.5 FlashAppTweak alternatives: App Radar, AppFollow, MobileAction
Grok 4.1 FastAppTweak alternatives: App Radar, AppFollow, Mobile Action
Mistral SmallGuideflow alternatives: AppFollow, Applytics, 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

Neither was named

5 of 14 modelsThe answer made no first choice from these two in this category.
GPT-5.4 miniAppTweak alternatives: App Radar, MobileAction, SplitMetrics Optimize
Perplexity SonarAppTweak alternatives: MobileAction
DeepSeek V4 FlashAppTweak alternatives: App Follow, 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
AppFollow leads by eleven points.
AppFollow11%#3 of 11
Sensor Tower0%#11 of 11
The full small business standing →
Mid-marketThe figures above
Level: the same share of first choices.
AppFollow7%#3 of 9
Sensor Tower7%#5 of 9
The full mid-market standing →
Enterprise
The order flips: Sensor Tower leads at enterprise.
Sensor Tower47%#1 of 8
AppFollow15%#3 of 8
The full enterprise standing →

What 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 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
Also compared

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.