REPOGEO REPORT · LITE

ShareGPT4Omni/ShareGPT4Video

Default branch master · commit 7e02ee61 · scanned 5/20/2026, 4:37:48 AM

GitHub: 1,092 stars · 46 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 ShareGPT4Omni/ShareGPT4Video, 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

Add a concise differentiator statement to the README introduction

Why:

CURRENT

The current README starts with the title and then "Official implementation of ShareGPT4Video...".

COPY-PASTE FIX

Insert the following sentence immediately after the main title or first paragraph: "ShareGPT4Video uniquely addresses the challenge of complex, long-form video understanding and generation by introducing a large-scale, high-quality video-text dataset generated by GPT-4V, enabling superior video captioning and advanced video-language models."

highlicense#2

Add a LICENSE file to the repository

Why:

COPY-PASTE FIX

Create a LICENSE file (e.g., MIT, Apache-2.0, or a custom license if applicable) in the repository root to clearly state the project's licensing terms.

mediumtopics#3

Expand topics to include research-specific and dataset-related keywords

Why:

CURRENT

chatgpt, gpt, gpt-4v, large-language-models, large-multimodal-models, large-video-language-models, large-vision-language-models, sora, text-to-video

COPY-PASTE FIX

Add: video-captioning, video-understanding, video-generation, multimodal-ai, dataset, neurips, research-project, llm-finetuning

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 ShareGPT4Omni/ShareGPT4Video

Avg rank

—

Lower is better. #1 = top recommendation.

Share of voice

Of all named tools, what % are you?

Top rival

CLIP

Recommended in 1 of 2 queries

COMPETITOR LEADERBOARD

CLIP · recommended 1×
DALL-E 3 · recommended 1×
PaLM 2 · recommended 1×
Gemini · recommended 1×
Make-A-Video · recommended 1×

CATEGORY QUERY
How can I improve video understanding and generation using advanced captioning models?
you: not recommended
AI recommended (in order):
1. CLIP
2. DALL-E 3
3. PaLM 2
4. Gemini
5. Make-A-Video
6. Emu Video
7. Hugging Face Transformers Library (huggingface/transformers)
8. BLIP-2
9. InstructBLIP
10. VideoMAE
11. Stable Diffusion (Stability-AI/StableDiffusion)
12. ControlNet (lllyasviel/ControlNet)
13. AnimateDiff (guoyww/AnimateDiff)
14. Perceiver IO
15. Flamingo
AI recommended 15 alternatives but never named ShareGPT4Omni/ShareGPT4Video. This is the gap to close.
Show full AI answer
CATEGORY QUERY
Seeking tools to generate highly descriptive captions for large video datasets efficiently.
you: not recommended
AI recommended (in order):
1. Google Cloud Video Intelligence API
2. Azure Video Indexer
3. Amazon Rekognition Video
4. OpenAI CLIP
5. Hugging Face Transformers
6. InternVideo2
AI recommended 6 alternatives but never named ShareGPT4Omni/ShareGPT4Video. 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 ShareGPT4Omni/ShareGPT4Video?
pass
AI did not name ShareGPT4Omni/ShareGPT4Video — 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 ShareGPT4Omni/ShareGPT4Video in production, what risks or prerequisites should they evaluate first?
pass
AI named ShareGPT4Omni/ShareGPT4Video 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 ShareGPT4Omni/ShareGPT4Video solve, and who is the primary audience?
pass
AI named ShareGPT4Omni/ShareGPT4Video 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 ShareGPT4Omni/ShareGPT4Video. It auto-updates whenever the report is rescanned and links back to the latest report — easy public proof that you care about AI discoverability.

Live preview

MARKDOWN (README)

[![RepoGEO](https://repogeo.com/badge/ShareGPT4Omni/ShareGPT4Video.svg)](https://repogeo.com/en/r/ShareGPT4Omni/ShareGPT4Video)

HTML

<a href="https://repogeo.com/en/r/ShareGPT4Omni/ShareGPT4Video"><img src="https://repogeo.com/badge/ShareGPT4Omni/ShareGPT4Video.svg" alt="RepoGEO" /></a>

Pro

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ShareGPT4Omni/ShareGPT4Video — 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