- Brand
- Unknown
- Category
- Pending
- Primary Subcategory
- Pending
Integration details
Description
Clonerrr is a marketing research tool for the people who grow mobile apps: founders, marketers and user acquisition teams. It does two jobs. It shows you real app ads and how they are built, and it audits an app's store listing against its competitors. Ad research: search a library of real video ads that apps ran on Facebook and Instagram, taken from Meta's Ad Library. Open any ad to see why it works and how it is built, scene by scene: what each scene is for, the words on screen, the voiceover, how it is shot, and which parts belong to the original app and which carry over to any product. Where an ad's run was recorded, you also see how many days it ran. Give your app's App Store or Google Play link, or describe an app that is not live yet, to get the ads closest to it and write a new script on a structure that has already been used. Store listing audits: audit an App Store or Google Play listing against the apps it competes with. Title and description, the searches it ranks for, screenshots, recent reviews and paid ads are each graded, with the changes that matter most in order. The full report is kept at a link you can open and share. Good to know: the library covers ads for mobile apps and is a sample, so an app with no ads in it may still advertise. Days running is the only performance figure it holds; it has no spend, install or click data. The plugin reads public store listings and needs no account. It does not run, buy or publish ads.
- Integration type
- Plugin
- Verification status
- Not applicable
- Platform
- ChatGPT
- Category
- Pending
- Primary Subcategory
- Pending
- Secondary Subcategories
- None listed
- Brand
- Unknown
- Access
- No account required
- First tracked
- 2026-10-22
- Tool count
- 5
- Geography
- US
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Other Subcategories where the Integration is listed.
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Competitive lineup
5 tools agents can invoke
Clonerrr ChatGPT Plugin FAQ
How the directory, categories and Discoverability Score work.
Read the methodologyHow do I improve Clonerrr's ChatGPT Plugin discoverability?
The levers are the listing surface agents actually read: names, descriptions, keywords, tool metadata, and registry health. Which lever matters depends on where discovery breaks, which is what continuous measurement shows.
Where is this profile measured?
This profile uses the geography attached to the latest public registry snapshot: US. Locale tags are intentionally omitted.