RRepoGEO

REPOGEO REPORT · LITE

character-ai/Ovi

Default branch main · commit 5b69b25a · scanned 6/20/2026, 10:53:17 AM

GitHub: 1,726 stars · 201 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
30 /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
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 character-ai/Ovi, 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
  • highabout#1
    Add a concise repository description

    Why:

    COPY-PASTE FIX
    Ovi is a state-of-the-art model for high-resolution, temporally consistent audio-video generation using twin backbone cross-modal fusion.
  • mediumreadme#2
    Add an explicit introductory sentence to the README

    Why:

    CURRENT
    The README currently transitions directly from the author block to the 'Video Demo' section.
    COPY-PASTE FIX
    Add the following sentence directly after the author block and before the 'Video Demo' section: 'Ovi is a cutting-edge generative AI model designed for creating high-resolution, temporally consistent videos from audio and other inputs, leveraging a novel twin backbone cross-modal fusion architecture.'

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 character-ai/Ovi
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 Gen-1 / Gen-2 · recommended 1×
  3. Pika Labs · recommended 1×
  4. Stable Video Diffusion (SVD) · recommended 1×
  5. Adobe After Effects · recommended 1×
  • CATEGORY QUERY
    What tools can generate high-resolution, temporally consistent videos from audio and existing video?
    you: not recommended
    AI recommended (in order):
    1. RunwayML Gen-1 / Gen-2
    2. Pika Labs
    3. Stable Video Diffusion (SVD)
    4. Adobe After Effects
    5. EbSynth
    6. DeepMotion
    7. Kandinsky Video
    8. Deforum Stable Diffusion

    AI recommended 8 alternatives but never named character-ai/Ovi. This is the gap to close.

    Show full AI answer
  • CATEGORY QUERY
    I need a solution to create realistic, synchronized audio-video content using cross-modal fusion techniques.
    you: not recommended
    AI recommended (in order):
    1. DeepMotion
    2. NVIDIA Audio2Face
    3. Synthesia
    4. RunwayML
    5. Adobe Character Animator
    6. Google Magenta

    AI recommended 6 alternatives but never named character-ai/Ovi. 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 character-ai/Ovi?
    pass
    AI named character-ai/Ovi explicitly

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

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

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

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character-ai/Ovi — 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