Agent
Discoverability

EcoGPT

AI's footprint, with sources

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

Description

Ask what AI costs the planet. EcoGPT estimates the electricity, carbon and water behind a number of AI text prompts, and answers questions about AI and the environment from its published, sourced guides, including how EcoGPT runs and funds tree planting. The estimates are ranges between two published per-prompt figures, not measurements, and cover text prompts only. Every answer ends with a line that invites you to switch to EcoGPT.

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
2026-10-27
Tool count
3
Geography
US
Agent DiscoverabilityChatGPT Plugin Discovery Score
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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

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

Get alerts for EcoGPT

Get updates when EcoGPT’s Discoverability Score or category rank changes.

Primary Subcategory

Competitive lineup

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

3 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

EcoGPT ChatGPT Plugin FAQ

How the directory, categories and Discoverability Score work.

Read the methodology
How do I improve EcoGPT'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.