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Policy Doctor

Analyse EU law & lobbying

Category
Pending
Primary Subcategory
Pending
View in the ChatGPT registry
Integration details

Description

Policy Doctor brings EU legislative, case law and lobbying intelligence directly into ChatGPT and your daily work. • Monitor and analyse EU lobbying activity — search meetings, track who lobbies whom and on what topics – and what public affairs firms are used by companies • Profile lobbying organisations and targets like EU officials across the EU Transparency Register • Also includes Finnish legislative projects and lobbying information • Structured data designed for AI tools — retrieve, analyse, and act on policy intelligence without leaving your AI tool • Draft documents and infuse your own Sharepoint, Google Drive, or other files with data brought to you by Policy Doctor Built for public affairs and legal professionals operating at the EU and national level

Integration type
Plugin
Verification status
Not applicable
Platform
ChatGPT
Category
Pending

The broad Category that contains the Primary Subcategory.

Primary Subcategory
Pending

The Primary Subcategory used for this profile’s headline score.

Secondary Subcategories
None listed

Other Subcategories where the Integration is listed.

Brand
Unknown
Access
Account required
First tracked
2026-09-03
Tool count
39
Geography
US

ChatGPT Plugin Discovery Score

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What discovery looks like

ChatGPT recommends Airtable when a user asks it to update a CRM.
ChatGPT surfaces Airtable because it matches the user's request.
Primary Subcategory

Competitive lineup

No Primary Subcategory assigned yetOnce Policy Doctor has a Primary Subcategory, the Plugins and Connectors it competes with will appear here with their scores.
Recommended guideThe Complete Guide to ChatGPT Plugin DiscoverabilityFollow the practical steps agents use to find, shortlist, and choose your Plugin.Read guide
Tools

39 tools agents can invoke

Policy Doctor FAQ
How do I improve a ChatGPT Plugin's 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.