Agent
Discoverability

IZeat

Calorie tracker you talk to

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

Description

IZeat is a food journal for adults that you use through your AI assistant. Describe what you ate to record meals, with calories and macros sourced from your own values, nutrition labels, reference values or clearly identified estimates. Review and correct entries, preview and confirm deletion, undo or restore recent meal changes, and set your own dated nutrition targets. Interactive day and period reports show recorded-day coverage, calories and macro composition; select a day or period to inspect its detail. Ask for meal ideas from the IZeat recipe catalogue, choose a plate, and request the complete preparation method. A recipe suggestion or preparation request does not record a meal: confirm what you actually ate before logging it. Recipe ingredients are scaled to the selected plate; the written method remains the original whole-recipe method. IZeat does not diagnose conditions or prescribe medical treatment or nutrition targets.

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
2026-10-31
Tool count
14
Market
US
Agent DiscoverabilityChatGPT Plugin Discovery Score
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Primary Subcategory

Competitive lineup

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

14 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

IZeat ChatGPT Plugin FAQ

How the directory, categories and Discoverability Score work.

Read the methodology
How do I improve IZeat'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.