REPOGEO REPORT · LITE

OpenGVLab/Multi-Modality-Arena

Default branch main · commit bd2999a3 · scanned 6/10/2026, 12:53:14 PM

GitHub: 567 stars · 39 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 OpenGVLab/Multi-Modality-Arena, 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

Reposition the README's opening sentence to emphasize 'live leaderboard' and 'evaluation platform'

Why:

CURRENT

Multi-Modality Arena is an evaluation platform for large multi-modality models. Following Fastchat, two anonymous models side-by-side are compared on a visual question-answering task.

COPY-PASTE FIX

Multi-Modality Arena is a live, interactive evaluation platform and public leaderboard for large multi-modality models, inspired by Chatbot Arena. Following Fastchat, two anonymous models side-by-side are compared on a visual question-answering task.

highlicense#2

Add a LICENSE file to the repository

Why:

COPY-PASTE FIX

Create a `LICENSE` file in the repository root with a standard open-source license (e.g., MIT or Apache-2.0) and add a line to the README stating 'This project is licensed under the [License Name] License - see the LICENSE file for details.'

mediumhomepage#3
Set the repository homepage URL
Why:
COPY-PASTE FIX
```
Set the repository homepage to `http://vlarena.opengvlab.com`.
```

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 OpenGVLab/Multi-Modality-Arena

Avg rank

—

Lower is better. #1 = top recommendation.

Share of voice

Of all named tools, what % are you?

Top rival

Hugging Face Open VLM Leaderboard

Recommended in 1 of 2 queries

COMPETITOR LEADERBOARD

Hugging Face Open VLM Leaderboard · recommended 1×
Papers With Code (PWC) Leaderboards · recommended 1×
VLMEvalKit · recommended 1×
MM-Vet · recommended 1×
VQA v2.0 · recommended 1×

CATEGORY QUERY
How can I compare performance of various vision-language models on visual tasks?
you: not recommended
AI recommended (in order):
1. Hugging Face Open VLM Leaderboard
2. Papers With Code (PWC) Leaderboards
3. VLMEvalKit
4. MM-Vet
5. VQA v2.0
6. GQA
7. OK-VQA
8. MS COCO Captions
9. Flickr30k
10. ReferItGame
11. RefCOCO/RefCOCO+/RefCOCOg
12. TorchMetrics
13. Evaluate
14. OpenMMLab's MMEval
15. CLIP
16. BLIP
17. LLaVA
18. Llama
19. MiniGPT-4
20. Flamingo
21. Qwen-VL
AI recommended 21 alternatives but never named OpenGVLab/Multi-Modality-Arena. This is the gap to close.
Show full AI answer
CATEGORY QUERY
What tools help evaluate multimodal AI models using image-based question answering?
you: not recommended
AI recommended (in order):
1. VQA-E
2. Hugging Face Transformers
3. Hugging Face Datasets
4. MLflow
5. Weights & Biases
6. PyTorch Lightning
7. Keras
8. TensorBoard
9. NumPy
10. SciPy
AI recommended 10 alternatives but never named OpenGVLab/Multi-Modality-Arena. 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 OpenGVLab/Multi-Modality-Arena?
pass
AI named OpenGVLab/Multi-Modality-Arena explicitly
AI answers can be confidently wrong. Read for accuracy: does it match your actual tech stack, audience, and differentiator?
If a team adopts OpenGVLab/Multi-Modality-Arena in production, what risks or prerequisites should they evaluate first?
pass
AI named OpenGVLab/Multi-Modality-Arena 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 OpenGVLab/Multi-Modality-Arena solve, and who is the primary audience?
pass
AI did not name OpenGVLab/Multi-Modality-Arena — 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?

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MARKDOWN (README)

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OpenGVLab/Multi-Modality-Arena — 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