Agent
Discoverability

Flitter

Devis assurance auto

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

Description

Flitter guides users through a car insurance quote in France. It identifies the vehicle from its French licence plate (or from its make and model), asks the user to confirm it on a vehicle card, collects driver, usage and claims details step by step, then displays Flitter's offers (third-party, intermediate and comprehensive cover) with monthly and annual prices. Each offer links to the quote page on flitter.fr, where the user can review and subscribe. Limitations: French residents and French-registered cars only; the quote requires the subscriber's name, email and phone number, as Flitter's quoting service needs them to issue a quote.

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
No account required
First tracked
2026-10-17
Tool count
12
Geography
US
Agent DiscoverabilityChatGPT 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.

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Primary Subcategory

Competitive lineup

No Primary Subcategory assigned yetOnce Flitter has a Primary Subcategory, the Plugins and Connectors it competes with will appear here with their scores.
Tools

12 tools agents can invoke

Recommended guideHow to get your ChatGPT Plugin suggestedFollow the practical steps agents use to find, shortlist, and choose your Plugin.Read guide
FAQs

Flitter ChatGPT Plugin FAQ

How the directory, categories and Discoverability Score work.

Read the methodology
How do I improve Flitter'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.