- Brand
- Unknown
- Category
- Pending
- Primary Subcategory
- Pending
Integration details
Description
Import VES, ERT, and IP survey files into G-RES from ChatGPT. Review source readings and quality flags, choose inversion settings, run real geophysical inversions, and inspect fit and scientific visualisations. G-RES provides measured results, provenance, and figures; ChatGPT writes and styles reports for the user's request and provides their downloads in the conversation without another G-RES authorization. Combine separately inverted, reviewed VES soundings into named GeoSections using supplied positions. GeoSection fill is a correlation of independent 1D models, not a 2D inversion. Results require professional review and independent field validation before operational decisions.
- 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
- 29
- 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.
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Competitive lineup
29 tools agents can invoke
G-RES ChatGPT Plugin FAQ
How the directory, categories and Discoverability Score work.
Read the methodologyHow do I improve G-RES'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.