RRepoGEO

REPOGEO REPORT · LITE

Phantom-video/HuMo

Default branch main · commit 845f4473 · scanned 5/21/2026, 8:17:45 PM

GitHub: 1,225 stars · 238 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
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 Phantom-video/HuMo, 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 clear introductory paragraph to the README

    Why:

    CURRENT
    The README currently jumps from the H1 to links and author list, then "Latest News," lacking an immediate descriptive paragraph.
    COPY-PASTE FIX
    Add the following paragraph immediately after the H1 and before any links or author lists: 'HuMo is a cutting-edge framework for **human-centric video generation** through **collaborative multi-modal conditioning**. It enables users to create realistic and dynamic videos of human subjects by leveraging diverse inputs such as reference images, detailed text prompts, and synchronized audio, offering precise control over the generated content.'
  • hightopics#2
    Add relevant topics to the repository

    Why:

    COPY-PASTE FIX
    video-generation, human-centric, multi-modal, generative-ai, deep-learning, computer-vision, ai-video
  • mediumreadme#3
    Emphasize HuMo's unique value proposition in the README

    Why:

    CURRENT
    The README focuses on news and technical details without a dedicated section for unique value.
    COPY-PASTE FIX
    Add a new section (e.g., 'Key Features' or 'Why HuMo?') that explicitly states: 'Unlike general video generation platforms, HuMo specializes in creating highly realistic human-centric videos, offering fine-grained control through collaborative multi-modal inputs such as reference images, detailed text prompts, and synchronized audio. It is designed for researchers and developers focused on advanced generative AI for human video content.'

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 Phantom-video/HuMo
Avg rank
—
Lower is better. #1 = top recommendation.
Share of voice
0%
Of all named tools, what % are you?
Top rival
DeepMotion
Recommended in 2 of 2 queries
COMPETITOR LEADERBOARD
  1. DeepMotion · recommended 2×
  2. RunwayML · recommended 2×
  3. Synthesia · recommended 1×
  4. Pika Labs · recommended 1×
  5. Meta's Make-A-Video · recommended 1×
  • CATEGORY QUERY
    How can I generate realistic videos of human subjects from multiple input modalities?
    you: not recommended
    AI recommended (in order):
    1. DeepMotion
    2. Synthesia
    3. RunwayML
    4. Pika Labs
    5. Meta's Make-A-Video
    6. NVIDIA's Omniverse Audio2Face
    7. DeepFaceLive
    8. FaceFusion

    AI recommended 8 alternatives but never named Phantom-video/HuMo. This is the gap to close.

    Show full AI answer
  • CATEGORY QUERY
    What tools are available for creating videos of people using image, text, and audio inputs?
    you: not recommended
    AI recommended (in order):
    1. Synthesys X
    2. HeyGen
    3. DeepMotion
    4. D-ID Creative Reality Studio
    5. RunwayML
    6. Pictory.ai
    7. Descript

    AI recommended 7 alternatives but never named Phantom-video/HuMo. 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 Phantom-video/HuMo?
    pass
    AI named Phantom-video/HuMo explicitly

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

  • If a team adopts Phantom-video/HuMo in production, what risks or prerequisites should they evaluate first?
    pass
    AI named Phantom-video/HuMo 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 Phantom-video/HuMo solve, and who is the primary audience?
    pass
    AI named Phantom-video/HuMo explicitly

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

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Phantom-video/HuMo — 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