
BlazeSQL
LogicLoop
Text2SQL.AI
AI Query
SQL Chat
Txt2SQL
Vanna AI
✔️ With AI2sql, engineers and non-engineers can easily write efficient, error-free SQL queries without knowing SQL.✔️ Querying has never been easier.

appfigures
AppTweak
Sensor Tower
Appbot
App Radar
App Annie
Mobile Action
AppFollow is an integrated solution that makes monitoring, analyzing, and elevating your app's reputation easy.

Which is more popular?
Based on our record, AI2sql seems to be more popular. It has been mentioned 8 times since March 2021.
Website, pricing, platforms and company facts side by side.
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| Website | ai2sql.softr.app | appfollow.io |
| Pricing | — | |
| Company | — | Startup from Finland · 50 - 99 employees · 2015 |
| Listed in |
In their own words, as submitted to SaaSHub.


No description of AI2sql yet.
Your app's reputation determines success. Apps with 4+ stars capture 80% of market revenue and get conversion rates that make competitors jealous. We built AppFollow as the reputation management platform that turns user feedback into measurable results. AppFollow filters reviews for app teams who...
What each product offers, as listed by its team.


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Possible disadvantages
An editorial look at what each product does well and who it suits.


Overall verdict
Why this product is good
Recommended for
Overall verdict
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ASO Tool for Keyword Research (AppFollow Review)
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As answered by people managing AI2sql and AppFollow.
AppFollow's answer:
AppFollow uniquely combines AI-powered review analysis, reply automation, and app store optimization into one platform. We help mobile-first teams understand user feedback at scale and turn ratings and reviews into a real growth lever — not just a support task.
AppFollow's answer:
AppFollow is built for teams that care about outcomes, not just data. Customers choose us because we:
Save time with smart automation
Reveal product and UX insights hidden in reviews
Help improve ratings faster with data-backed actions
In short: fewer tools, clearer decisions, better ratings.
AppFollow's answer:
AppFollow started with a simple problem: mobile teams were drowning in user feedback but couldn’t act on it fast enough. What began as a way to track and respond to app store reviews quickly evolved into a full platform helping teams turn user voice into a competitive advantage.
AppFollow's answer:
AppFollow is built using modern cloud infrastructure and scalable web technologies, with a strong focus on AI/ML for text analysis, automation, and secure data processing. The platform is designed to handle large volumes of app store data reliably and in real time.
AppFollow's answer:
AppFollow's answer:
The platform is built for product managers, growth and ASO marketers, customer experience leaders, and app teams who manage large volumes of user feedback across app stores, regions, and languages. These teams rely on AppFollow to filter signal from noise, identify reputation risks early, and turn user feedback into faster product improvements and measurable business results.
AppFollow is especially valuable for organizations where:
A small change in star rating creates outsized financial impact
Review volume makes manual analysis impossible
Speed matters when bugs, crashes, or UX issues affect ratings
Reputation management must scale without increasing headcount
From fast-growing app publishers to international brands managing apps across dozens of markets, AppFollow serves teams that view reputation management as a growth engine, not a support task.
Share your experience with using AI2sql and AppFollow. For example, how are they different and which one is better?
External articles and on-site reviews we used to compare the two products.


We have no reviews of AI2sql yet. Be the first one to post
COMPARE / INDEX ASOScan vs.the rest.6comparisons100%public pricing data0cherry-picked tables01AppTweakASOScan vs AppTweak: 6× more keywords per dollar. See the full comparison →02MobileActionASOScan vs MobileAction:...
Recommendations tracked on public social media and blogs since March 2021.


Hi all, I'm excited to share the new project I've been working on called AI2sql. Check it out here: http://ai2sql.softr.app If you're writing SQL queries, you should try AI2sql. Let's you ask questions in plain English and then AI2sql... Source: over 4 years ago
I’ve upgraded AI2sql (generate SQL in seconds) ai2sql.softr.app to use the InstructGPT and its results are better than ever. Source: over 4 years ago
Offering a simple interface, the tool aims to create SQL queries for non-engineering users. You can try it here: http://ai2sql.softr.app. Source: almost 5 years ago
Tracking AppFollow since Mar 2021.
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