RRepoGEO

REPOGEO REPORT · LITE

GeoRetina/chat2geo

Default branch main · commit 8186b6c9 · scanned 6/5/2026, 7:18:16 AM

GitHub: 503 stars · 111 forks

AI VISIBILITY SCORE
40 /100
Critical
Category recall
0 / 2
Not recommended in any query
Rule findings
2 pass · 0 warn · 0 fail
Objective metadata checks
AI knows your name
3 / 3
Direct prompts that named your repo
HOW TO READ THIS REPORT

Action plan is what to do next — copy-pasteable changes prioritized by impact. Category visibility is the real GEO test: when a user asks an AI a brand-free question that should surface GeoRetina/chat2geo, does the AI actually recommend you — or your competitors? Objective checks verify the metadata signals AI engines weight first. Self-mention check detects whether AI even knows you exist by name.

Action plan — copy-paste fixes

3 prioritized changes generated by gemini-2.5-flash. Mark items done after you ship the fix.

OVERALL DIRECTION
  • highreadme#1
    Clarify the repository's active maintenance status in the README

    Why:

    CURRENT
    > [!IMPORTANT]  
> **This repository is archived and no longer maintained.**  
> Please use the hosted version at https://chat2geo.georetina.ai, which is production-ready, more feature-rich, and actively maintained.
    COPY-PASTE FIX
    Replace the `[!IMPORTANT]` block with: `This repository provides the open-source foundation for Chat2Geo. While the primary, production-ready version is hosted at https://chat2geo.georetina.ai, this repository will continue to receive community updates in parallel with GRAI 2.0.`
  • mediumtopics#2
    Add more specific topics to improve categorization

    Why:

    CURRENT
    ai, aiagents, geospatial, gis, google-earth-engine, remote-sensing, webapp
    COPY-PASTE FIX
    ai, aiagents, geospatial, gis, google-earth-engine, remote-sensing, webapp, conversational-ai, nextjs, geospatial-web-app
  • lowreadme#3
    Strengthen the README's opening paragraph to highlight unique value

    Why:

    CURRENT
    Chat2Geo is a Next.js 15 application providing a chatbot-like user interface for performing remote-sensing-based geospatial analyses. It leverages Google Earth Engine (GEE) in the backend to process and analyze various remote sensing datasets in real time. Users can upload their own vector data, run advanced geospatial queries, and integrate the results with an AI Assistant for specialized tasks such as **land cover mapping**, **change detection**, and **air pollutant monitoring**.
    COPY-PASTE FIX
    Chat2Geo is a Next.js 15 application that provides an **end-to-end natural language interface** for remote-sensing-based geospatial analysis. It offers a chatbot-like user experience, leveraging Google Earth Engine (GEE) in the backend to process and analyze various remote sensing datasets in real time. Users can upload vector data, run advanced geospatial queries, and integrate results with an AI Assistant for specialized tasks like **land cover mapping**, **change detection**, and **air pollutant monitoring**.

Category GEO backends resolved for this scan: google/gemini-2.5-flash, deepseek/deepseek-v4-flash

Category visibility — the real GEO test

Brand-free queries asked to google/gemini-2.5-flash. Did AI recommend you, or someone else?

Same questions for every model — switch tabs to compare answers and rankings.

Recall
0 / 2
0% of queries surface GeoRetina/chat2geo
Avg rank
—
Lower is better. #1 = top recommendation.
Share of voice
0%
Of all named tools, what % are you?
Top rival
Google Earth Engine
Recommended in 2 of 2 queries
COMPETITOR LEADERBOARD
  1. Google Earth Engine · recommended 2×
  2. qgis/QGIS · recommended 2×
  3. OpenAI GPT-4 · recommended 1×
  4. Claude 3 Opus · recommended 1×
  5. Google Gemini Advanced · recommended 1×
  • CATEGORY QUERY
    How to perform remote sensing geospatial analysis using a conversational AI interface?
    you: not recommended
    AI recommended (in order):
    1. OpenAI GPT-4
    2. Claude 3 Opus
    3. Google Gemini Advanced
    4. Google Earth Engine
    5. Python
    6. Geopandas (geopandas/geopandas)
    7. Rasterio (rasterio/rasterio)
    8. Xarray (pydata/xarray)
    9. GDAL/OGR (OSGeo/gdal)
    10. QGIS (qgis/QGIS)
    11. PyQGIS (qgis/QGIS)
    12. Jupyter Notebooks/JupyterLab
    13. Leaflet (Leaflet/Leaflet)
    14. Folium (python-visualization/folium)
    15. Matplotlib (matplotlib/matplotlib)
    16. Plotly (plotly/plotly.py)

    AI recommended 16 alternatives but never named GeoRetina/chat2geo. This is the gap to close.

    Show full AI answer
  • CATEGORY QUERY
    What tools integrate AI chat for land cover mapping and environmental monitoring with GEE?
    you: not recommended
    AI recommended (in order):
    1. Google Earth Engine
    2. Google Cloud Platform
    3. Vertex AI
    4. Vertex AI Workbench
    5. Vertex AI Generative AI Studio
    6. gemini-pro
    7. Vertex AI Custom Training/Prediction
    8. Google Cloud Functions
    9. Cloud Run
    10. Google Cloud Storage
    11. Jupyter Notebooks
    12. JupyterLab
    13. OpenAI API
    14. Hugging Face Transformers Library
    15. Streamlit
    16. Gradio
    17. Microsoft Azure
    18. Azure OpenAI Service
    19. Azure Machine Learning
    20. Azure Functions
    21. Azure Container Apps
    22. Azure Cosmos DB
    23. Azure Storage
    24. LangChain
    25. LlamaIndex
    26. OpenAI
    27. Llama 2
    28. Flask
    29. Django
    30. Hugging Face API
    31. Google Generative AI API
    32. React
    33. Vue.js
    34. Svelte

    AI recommended 34 alternatives but never named GeoRetina/chat2geo. This is the gap to close.

    Show full AI answer

Objective checks

Rule-based audits of metadata signals AI engines weight most.

  • Metadata completeness
    pass

  • README presence
    pass

Self-mention check

Does AI even know your repo exists when asked about it directly?

  • Compared to common alternatives in this category, what is the core differentiator of GeoRetina/chat2geo?
    pass
    AI named GeoRetina/chat2geo explicitly

    AI answers can be confidently wrong. Read for accuracy: does it match your actual tech stack, audience, and differentiator?

  • If a team adopts GeoRetina/chat2geo in production, what risks or prerequisites should they evaluate first?
    pass
    AI named GeoRetina/chat2geo explicitly

    AI answers can be confidently wrong. Read for accuracy: does it match your actual tech stack, audience, and differentiator?

  • In one sentence, what problem does the repo GeoRetina/chat2geo solve, and who is the primary audience?
    pass
    AI named GeoRetina/chat2geo explicitly

    AI answers can be confidently wrong. Read for accuracy: does it match your actual tech stack, audience, and differentiator?

Embed your GEO score

Drop this badge into the README of GeoRetina/chat2geo. It auto-updates whenever the report is rescanned and links back to the latest report — easy public proof that you care about AI discoverability.

RepoGEO badge previewLive preview
MARKDOWN (README)
[![RepoGEO](https://repogeo.com/badge/GeoRetina/chat2geo.svg)](https://repogeo.com/en/r/GeoRetina/chat2geo)
HTML
<a href="https://repogeo.com/en/r/GeoRetina/chat2geo"><img src="https://repogeo.com/badge/GeoRetina/chat2geo.svg" alt="RepoGEO" /></a>
Pro

Subscribe to Pro for deep diagnoses

GeoRetina/chat2geo — Lite scans stay free; this card itemizes Pro deep limits vs Lite.

  • Deep reports10 / month
  • Brand-free category queries5 vs 2 in Lite
  • Prioritized action items8 vs 3 in Lite