RRepoGEO

REPOGEO REPORT · LITE

yunlong10/Awesome-LLMs-for-Video-Understanding

Default branch main · commit cc623f49 · scanned 5/25/2026, 1:22:41 AM

GitHub: 3,180 stars · 143 forks

AI VISIBILITY SCORE
17 /100
Critical
Category recall
0 / 2
Not recommended in any query
Rule findings
1 pass · 0 warn · 1 fail
Objective metadata checks
AI knows your name
1 / 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 yunlong10/Awesome-LLMs-for-Video-Understanding, 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
  • hightopics#1
    Add relevant topics to the repository

    Why:

    COPY-PASTE FIX
    awesome-list, survey, video-understanding, large-language-models, llms, computer-vision, deep-learning, research-papers, datasets, multimodal-llms
  • highlicense#2
    Add a LICENSE file to the repository

    Why:

    COPY-PASTE FIX
    Create a LICENSE file in the repository root with an appropriate open-source license (e.g., MIT, Apache-2.0, or GPL-3.0).
  • mediumabout#3
    Clarify the repository's "about" description to emphasize its nature as a curated resource

    Why:

    CURRENT
    🔥🔥🔥 [IEEE TCSVT] Latest Papers, Codes and Datasets on Vid-LLMs.
    COPY-PASTE FIX
    A comprehensive, curated list of the latest papers, code, and datasets on Video Large Language Models (Vid-LLMs), including our IEEE TCSVT survey.

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 yunlong10/Awesome-LLMs-for-Video-Understanding
Avg rank
—
Lower is better. #1 = top recommendation.
Share of voice
0%
Of all named tools, what % are you?
Top rival
Video-LLaMA
Recommended in 2 of 2 queries
COMPETITOR LEADERBOARD
  1. Video-LLaMA · recommended 2×
  2. Video-ChatGPT · recommended 1×
  3. Awesome-LLM-Video · recommended 1×
  4. VideoPoet · recommended 1×
  5. InternVideo2 · recommended 1×
  • CATEGORY QUERY
    Where can I find a comprehensive survey of large language models for video understanding?
    you: not recommended
    AI recommended (in order):
    1. Video-LLaMA
    2. Video-ChatGPT
    3. Awesome-LLM-Video

    AI recommended 3 alternatives but never named yunlong10/Awesome-LLMs-for-Video-Understanding. This is the gap to close.

    Show full AI answer
  • CATEGORY QUERY
    What are the latest research papers, code, and datasets for video large language models?
    you: not recommended
    AI recommended (in order):
    1. VideoPoet
    2. InternVideo2
    3. Video-LLaMA
    4. Open-Sora
    5. MiniGPT-4V
    6. LAVIS

    AI recommended 6 alternatives but never named yunlong10/Awesome-LLMs-for-Video-Understanding. This is the gap to close.

    Show full AI answer

Objective checks

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

  • Metadata completeness
    fail

    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 yunlong10/Awesome-LLMs-for-Video-Understanding?
    pass
    AI did not name yunlong10/Awesome-LLMs-for-Video-Understanding — 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 yunlong10/Awesome-LLMs-for-Video-Understanding in production, what risks or prerequisites should they evaluate first?
    pass
    AI named yunlong10/Awesome-LLMs-for-Video-Understanding 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 yunlong10/Awesome-LLMs-for-Video-Understanding solve, and who is the primary audience?
    pass
    AI did not name yunlong10/Awesome-LLMs-for-Video-Understanding — 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?

Embed your GEO score

Drop this badge into the README of yunlong10/Awesome-LLMs-for-Video-Understanding. 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/yunlong10/Awesome-LLMs-for-Video-Understanding.svg)](https://repogeo.com/en/r/yunlong10/Awesome-LLMs-for-Video-Understanding)
HTML
<a href="https://repogeo.com/en/r/yunlong10/Awesome-LLMs-for-Video-Understanding"><img src="https://repogeo.com/badge/yunlong10/Awesome-LLMs-for-Video-Understanding.svg" alt="RepoGEO" /></a>
Pro

Subscribe to Pro for deep diagnoses

yunlong10/Awesome-LLMs-for-Video-Understanding — 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