RRepoGEO

REPOGEO REPORT · LITE

video-db/Director

Default branch main · commit 70e0b3df · scanned 6/27/2026, 9:32:19 AM

GitHub: 1,416 stars · 231 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)

3 ready scans. Expand the table below for newest-first rows (10 per page, paginated).

AI VISIBILITY SCORE
40 /100
Critical
Category recall
0 / 2
Not recommended in any query
Rule findings
2 pass · 0 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 video-db/Director, 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
    Reposition the README's opening to highlight video-native specialization

    Why:

    CURRENT
    Framework to build video agents that can reason through complex video tasks like search, editing, compilation, generation etc & instantly stream the results.
    COPY-PASTE FIX
    Director is the leading open-source framework for building **video-native AI agents** that can reason through complex video tasks like search, editing, compilation, and generation, instantly streaming results. Unlike general-purpose agent frameworks, Director is purpose-built for the unique challenges of video data and interactions.
  • mediumreadme#2
    Add a 'Key Capabilities' section detailing agent types

    Why:

    COPY-PASTE FIX
    ### Key Capabilities
*   **Video Search Agents:** Intelligently search and retrieve specific moments or concepts within vast video libraries.
*   **Video Editing Agents:** Automate complex editing tasks, from cutting and splicing to applying effects based on semantic understanding.
*   **Video Generation Agents:** Create new video content or compilations from existing footage and prompts.
*   **Real-time Video Interaction Agents:** Enable dynamic, conversational interactions with live or recorded video streams.
  • lowtopics#3
    Expand topics with multimodal and video-LLM keywords

    Why:

    CURRENT
    agent, agent-framework, ai-agents, framework, llm, openai, rag, search, text-to-video, video-editing, video-processing, videodb
    COPY-PASTE FIX
    agent, agent-framework, ai-agents, framework, llm, openai, rag, search, text-to-video, video-editing, video-processing, videodb, multimodal-ai, video-llm, video-agent

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 video-db/Director
Avg rank
—
Lower is better. #1 = top recommendation.
Share of voice
0%
Of all named tools, what % are you?
Top rival
langchain-ai/langchain
Recommended in 1 of 2 queries
COMPETITOR LEADERBOARD
  1. langchain-ai/langchain · recommended 1×
  2. run-llama/llama_index · recommended 1×
  3. deepset-ai/haystack · recommended 1×
  4. OpenAI Assistants API · recommended 1×
  5. microsoft/semantic-kernel · recommended 1×
  • CATEGORY QUERY
    What frameworks exist for building AI agents to manage complex video interaction workflows?
    you: not recommended
    AI recommended (in order):
    1. LangChain (langchain-ai/langchain)
    2. LlamaIndex (run-llama/llama_index)
    3. Haystack (deepset-ai/haystack)
    4. OpenAI Assistants API
    5. Microsoft Semantic Kernel (microsoft/semantic-kernel)
    6. Auto-GPT (Significant-Gravitas/Auto-GPT)
    7. BabyAGI (yoheinakajima/babyagi)

    AI recommended 7 alternatives but never named video-db/Director. This is the gap to close.

    Show full AI answer
  • CATEGORY QUERY
    How to develop intelligent agents capable of searching, editing, and generating video content?
    you: not recommended
    AI recommended (in order):
    1. OpenCV
    2. MediaPipe
    3. PyTorch Video
    4. TensorFlow Video
    5. Hugging Face Transformers
    6. ViT (Vision Transformer)
    7. CLIP (Contrastive Language-Image Pre-training)
    8. FFmpeg
    9. MoviePy
    10. Generative Adversarial Networks (GANs)
    11. PyTorch
    12. TensorFlow
    13. VideoGAN
    14. TGAN
    15. Diffusion Models
    16. Stable Diffusion
    17. DALL-E 2
    18. Midjourney
    19. Imagen Video
    20. Phenaki
    21. Neural Radiance Fields (NeRFs)
    22. Blender

    AI recommended 22 alternatives but never named video-db/Director. This is the gap to close.

    Show full AI answer

Objective checks

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

  • Metadata completeness
    pass

  • 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 video-db/Director?
    pass
    AI named video-db/Director explicitly

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

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

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

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video-db/Director — 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