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Index › Marketing › App store optimization › App Radar vs MobileAction
App store optimization tools · October 2026 Edition

App Radar vs MobileAction

Two of fourteen models named App Radar first on the direct prompt; zero named MobileAction. App Radar was named by fourteen of the fourteen models and MobileAction by twelve and App Radar carries 47 labels and MobileAction 32, so the shares are not directly comparable.

App Radar

accepted challenger

Named in two categories this edition.

MobileAction

accepted challenger

Named in two categories this edition.

First-choice share7%5%Of first choices across the direct, paraphrase, budget and scale prompts, 0 to 100.
Negative rate6%6%Negative labels as a share of the product's labels, 0 to 100.
Rank in category#4#6A position in a field of 9; printed, not drawn.
Labels4732A count; the two differ.
The two percentage rows are drawn on one 0 to 100 track, App Radar 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 App Radar · AppTweak vs MobileAction · Appfigures vs App Radar

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.
App RadarFirst choices, of fourteen modelsMobileAction
Direct202 against App Radar
Paraphrase111 against MobileAction
Comparative01
Budget-constrained021 against App Radar
Scale-constrained10
Negative201 against MobileAction
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, App Radar and MobileAction were named in the same answer forty-eight times, of the 124 answers naming App Radar and the 95 naming MobileAction. In those answers MobileAction took the first choice one time and App Radar eight.

Every model, every framing

The eighty-four answers behind the chart above, one cell each: where App Radar and MobileAction 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
App Radar MobileAction first choice named as an alternative argued againstblank: not namedEach cell is one answer, App Radar on the left and MobileAction on the right.

The direct prompt

The plain question, one answer per model, grouped by where App Radar and MobileAction stood in it.

App Radar first, MobileAction an alternative

2 of 14 modelsMobileAction was named in the answer but not as the choice, or not at all.
Qwen 3.7 FlashApp Radar, AppTweak alternatives: AppFollow
MiniMax M2.5App Radar, AppTweak alternatives: ASO.dev, AppFollow, MobileAction

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.
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
Kimi K2AppTweak alternatives: AppFollow, MobileAction
GLM 4.7 FlashXAppTweak alternatives: App Radar, AppFollow, Appfigures
Muse Glimmer 30BAppTweak alternatives: App Radar, Applytics

Neither was named

3 of 14 modelsThe answer made no first choice from these two in this category.
Claude Haiku 4.5AppTweak, Appfigures alternatives: AppFollow, Lengreo, Sensor Tower
Llama 4 MaverickApplytics alternatives: AppFollow, AppTweak, Guideflow
GPT-6 LunaMobileAction ASO Intelligence Pro alternatives: AppTweak Grow

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
App Radar leads by seven points.
App Radar11%#2 of 11
MobileAction4%#7 of 11
The full small business standing →
Mid-marketThe figures above
App Radar leads by two points.
App Radar7%#4 of 9
MobileAction5%#6 of 9
The full mid-market standing →
Enterprise
Level: the same share of first choices.
App Radar0%#8 of 8
MobileAction0%#6 of 8
The full enterprise standing →

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

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
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.