RRepoGEO

REPOGEO REPORT · LITE

VITA-MLLM/VITA

Default branch main · commit 35d064a6 · scanned 5/13/2026, 10:54:14 AM

GitHub: 2,512 stars · 181 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 VITA-MLLM/VITA, 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
  • highabout#1
    Add a homepage URL to the repository's 'About' section

    Why:

    COPY-PASTE FIX
    https://[your-project-homepage-url-here]
  • highreadme#2
    Reposition the README's main heading to emphasize 'open-source' and 'real-time interactive multimodal LLM'

    Why:

    CURRENT
    # VITA-1.5: Towards GPT-4o Level Real-Time Vision and Speech Interaction
    COPY-PASTE FIX
    # VITA-1.5: The First Open-Source, Real-Time Interactive Multimodal LLM, achieving GPT-4o level Vision and Speech Interaction.
  • mediumreadme#3
    Clarify the project's license directly in the README

    Why:

    COPY-PASTE FIX
    ## License
VITA-MLLM/VITA is released under [Specify License(s) here, e.g., Apache 2.0, MIT, or a custom license description]. Please refer to the LICENSE file for full details.

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 VITA-MLLM/VITA
Avg rank
—
Lower is better. #1 = top recommendation.
Share of voice
0%
Of all named tools, what % are you?
Top rival
Whisper
Recommended in 1 of 2 queries
COMPETITOR LEADERBOARD
  1. Whisper · recommended 1×
  2. YOLO · recommended 1×
  3. VITS · recommended 1×
  4. Tacotron2 · recommended 1×
  5. FastSpeech2 · recommended 1×
  • CATEGORY QUERY
    What open-source models enable real-time vision and speech interaction for applications?
    you: not recommended
    AI recommended (in order):
    1. Whisper
    2. YOLO
    3. VITS
    4. Tacotron2
    5. FastSpeech2
    6. SeamlessM4T
    7. OpenVINO Toolkit
    8. Kaldi
    9. OpenCV
    10. Coqui TTS
    11. Vosk
    12. MediaPipe

    AI recommended 12 alternatives but never named VITA-MLLM/VITA. This is the gap to close.

    Show full AI answer
  • CATEGORY QUERY
    Looking for a powerful multimodal LLM that understands both video and audio in real-time.
    you: not recommended
    AI recommended (in order):
    1. Google Gemini
    2. OpenAI GPT-4o
    3. Meta Llama
    4. Microsoft Copilot
    5. Hume AI

    AI recommended 5 alternatives but never named VITA-MLLM/VITA. 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 VITA-MLLM/VITA?
    pass
    AI named VITA-MLLM/VITA explicitly

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

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