- Brand
- Unknown
- Category
- Pending
- Primary Subcategory
- Pending
Integration details
Description
AVA Golf is a golf intelligence system. It brings together your rounds and practice from the devices and apps you already use, measures every shot in strokes gained, and builds a personal list of priorities: what's costing you the most strokes and what to practice next. This plugin lets you ask ChatGPT about your own AVA Golf data in plain language: your rounds and practice sessions, strokes gained by phase, club distances and dispersion, your Handicap Index® history, how your recent rounds compare with earlier ones, and your priorities with the practice work behind each one. Ask things like "Where am I losing the most strokes?", "How far do I really hit my 7-iron?" or "What should I work on before Saturday?" The plugin only reads. It never changes your data, and it reads only the account you sign in with. You choose what to share on the AVA Golf consent screen, and you can revoke access at any time under Settings → Connections → Connected apps. Requires an active AVA Golf membership.
- Integration type
- Plugin
- Verification status
- Not applicable
- Platform
- ChatGPT
- Category
- Pending
- Primary Subcategory
- Pending
- Secondary Subcategories
- None listed
- Brand
- Unknown
- Access
- Account required
- First tracked
- 2026-10-22
- Tool count
- 14
- Geography
- US
The broad Category that contains the Primary Subcategory.
The Primary Subcategory used for this profile’s headline score.
Other Subcategories where the Integration is listed.
Your score is coming
ChatGPT now suggests Plugins on its own when they match a user's request.Your Plugin Discovery Score measures how often yours appears, and it will show here as soon as it’s ready.
What discovery looks like

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Competitive lineup
14 tools agents can invoke
AVA Golf ChatGPT Plugin FAQ
How the directory, categories and Discoverability Score work.
Read the methodologyHow do I improve AVA Golf'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.