RRepoGEO

REPOGEO REPORT · LITE

mbzuai-oryx/GeoChat

Default branch main · commit 4850920e · scanned 6/9/2026, 11:58:12 PM

GitHub: 722 stars · 62 forks

Scan history for this repo

Score trend below includes all ready runs (older left, newer right; scroll horizontally if needed). The table is collapsed by default—expand for newest-first rows, 10 per page.

Score trend (left → right: older → newer)

2 ready scans. Expand the table below for newest-first rows (10 per page, paginated).

AI VISIBILITY SCORE
28 /100
Critical
Category recall
0 / 2
Not recommended in any query
Rule findings
1 pass · 1 warn · 0 fail
Objective metadata checks
AI knows your name
2 / 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 mbzuai-oryx/GeoChat, 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
  • highabout#1
    Refine the 'About' description to emphasize model and research focus

    Why:

    CURRENT
    [CVPR 2024 🔥] GeoChat, the first grounded Large Vision Language Model for Remote Sensing
    COPY-PASTE FIX
    [CVPR 2024 🔥] GeoChat: The first grounded Large Vision Language Model (LVLM) for remote sensing research, enabling advanced scene interpretation.
  • highlicense#2
    Add a LICENSE file to the repository

    Why:

    CURRENT
    (no LICENSE file detected — the repo has no recognizable license)
    COPY-PASTE FIX
    Create a LICENSE file (e.g., MIT or Apache-2.0) and add it to the repository root.
  • mediumtopics#3
    Expand repository topics with specific capabilities and domain keywords

    Why:

    CURRENT
    remote-sensing, vlm
    COPY-PASTE FIX
    remote-sensing, vlm, large-vision-language-model, image-captioning, visual-question-answering, scene-classification, object-detection, geospatial-ai, cvpr-2024

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 mbzuai-oryx/GeoChat
Avg rank
—
Lower is better. #1 = top recommendation.
Share of voice
0%
Of all named tools, what % are you?
Top rival
BLIP-2
Recommended in 2 of 2 queries
COMPETITOR LEADERBOARD
  1. BLIP-2 · recommended 2×
  2. RemoteCLIP · recommended 1×
  3. SeCo-ViT · recommended 1×
  4. OpenCLIP · recommended 1×
  5. CLIP · recommended 1×
  • CATEGORY QUERY
    What vision-language models are best for interpreting high-resolution remote sensing imagery?
    you: not recommended
    AI recommended (in order):
    1. RemoteCLIP
    2. SeCo-ViT
    3. OpenCLIP
    4. CLIP
    5. ViT-Adapter
    6. Vision Transformer (ViT)
    7. DINOv2
    8. MAE
    9. Flamingo
    10. BLIP-2

    AI recommended 10 alternatives but never named mbzuai-oryx/GeoChat. This is the gap to close.

    Show full AI answer
  • CATEGORY QUERY
    Need a grounded large vision language model for detailed scene interpretation in satellite data.
    you: not recommended
    AI recommended (in order):
    1. Google Gemini
    2. OpenAI GPT-4V
    3. Microsoft Florence-2
    4. Meta's Segment Anything Model (SAM)
    5. LLaVA
    6. BLIP-2
    7. OWL-ViT

    AI recommended 7 alternatives but never named mbzuai-oryx/GeoChat. This is the gap to close.

    Show full AI answer

Objective checks

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

  • Metadata completeness
    warn

    Suggestion:

  • 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 mbzuai-oryx/GeoChat?
    pass
    AI did not name mbzuai-oryx/GeoChat — likely talking about a different project

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

  • If a team adopts mbzuai-oryx/GeoChat in production, what risks or prerequisites should they evaluate first?
    pass
    AI named mbzuai-oryx/GeoChat 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 mbzuai-oryx/GeoChat solve, and who is the primary audience?
    pass
    AI named mbzuai-oryx/GeoChat 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 mbzuai-oryx/GeoChat. 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/mbzuai-oryx/GeoChat.svg)](https://repogeo.com/en/r/mbzuai-oryx/GeoChat)
HTML
<a href="https://repogeo.com/en/r/mbzuai-oryx/GeoChat"><img src="https://repogeo.com/badge/mbzuai-oryx/GeoChat.svg" alt="RepoGEO" /></a>
Pro

Subscribe to Pro for deep diagnoses

mbzuai-oryx/GeoChat — 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