AppFollow vs MobileAction
Zero of fourteen models named AppFollow first on the direct prompt; zero named MobileAction. AppFollow was named by fourteen of the fourteen models and MobileAction by twelve and AppFollow carries 47 labels and MobileAction 32, so the shares are not directly comparable.
Named in three 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
AppFollowFirst choices, of fourteen modelsMobileAction
Across every category in the October 2026 Edition, AppFollow and MobileAction were named in the same answer fifty times, of the 136 answers naming AppFollow and the 95 naming MobileAction. In those answers MobileAction took the first choice three times and AppFollow six.
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 | | |
AppFollow MobileAction first choice named as an alternative argued againstblank: not namedEach cell is one answer, AppFollow on the left and MobileAction on the right.The direct prompt
Neither was the first choice, one was named
12 of 14 modelsThe answer put something else first and named one of the two as an alternative.Neither was named
2 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
AppFollow11%#3 of 11MobileAction4%#7 of 11AppFollow15%#3 of 8MobileAction0%#6 of 8What 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 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.