RRepoGEO

REPOGEO REPORT · LITE

Tencent-Hunyuan/OmniWeaving

Default branch main · commit 8a741ab2 · scanned 6/4/2026, 2:42:59 AM

GitHub: 886 stars · 27 forks

AI VISIBILITY SCORE
35 /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
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 Tencent-Hunyuan/OmniWeaving, 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

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

OVERALL DIRECTION
  • highreadme#1
    Add a concise introductory sentence to the README to clarify its nature as an AI research framework

    Why:

    CURRENT
    The README currently starts with `# OmniWeaving` followed by a centered, more descriptive title.
    COPY-PASTE FIX
    Add the following sentence immediately after the main title (or as the first paragraph): "OmniWeaving is an official implementation of a cutting-edge AI research framework for unified video generation with free-form composition and reasoning, built upon HunyuanVideo-1.5."
  • mediumreadme#2
    Clarify the project's license directly in the README

    Why:

    COPY-PASTE FIX
    Add a 'License' section to the README, stating: "This project is released under the terms specified in the [LICENSE](LICENSE) file. Please refer to the file for full details on usage and distribution."

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 Tencent-Hunyuan/OmniWeaving
Avg rank
—
Lower is better. #1 = top recommendation.
Share of voice
0%
Of all named tools, what % are you?
Top rival
DaVinci Resolve
Recommended in 3 of 2 queries
COMPETITOR LEADERBOARD
  1. DaVinci Resolve · recommended 3×
  2. RunwayML · recommended 1×
  3. Adobe After Effects · recommended 1×
  4. EbSynth · recommended 1×
  5. Topaz Video AI · recommended 1×
  • CATEGORY QUERY
    How to generate high-quality videos with flexible composition and intelligent reasoning capabilities?
    you: not recommended
    AI recommended (in order):
    1. RunwayML
    2. Adobe After Effects
    3. EbSynth
    4. Topaz Video AI
    5. Stable Diffusion
    6. ControlNet
    7. Automatic1111's web UI
    8. Pika Labs
    9. Midjourney
    10. DaVinci Resolve
    11. Adobe Premiere Pro
    12. Synthesia
    13. HeyGen
    14. DaVinci Resolve

    AI recommended 14 alternatives but never named Tencent-Hunyuan/OmniWeaving. This is the gap to close.

    Show full AI answer
  • CATEGORY QUERY
    What are the best unified solutions for free-form video content creation and generation?
    you: not recommended
    AI recommended (in order):
    1. DaVinci Resolve
    2. Adobe Creative Cloud
    3. CapCut
    4. HitFilm Express
    5. Final Cut Pro
    6. Descript
    7. KineMaster

    AI recommended 7 alternatives but never named Tencent-Hunyuan/OmniWeaving. 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 Tencent-Hunyuan/OmniWeaving?
    pass
    AI named Tencent-Hunyuan/OmniWeaving explicitly

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

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

Subscribe to Pro for deep diagnoses

Tencent-Hunyuan/OmniWeaving — 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