RRepoGEO

REPOGEO REPORT · LITE

transitive-bullshit/yt-semantic-search

Default branch main · commit 5effc0a5 · scanned 6/14/2026, 7:47:54 AM

GitHub: 540 stars · 48 forks

AI VISIBILITY SCORE
33 /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
2 / 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 transitive-bullshit/yt-semantic-search, 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 H1 and description to clarify its role as a developer starter kit

    Why:

    CURRENT
    # YouTube Semantic Search 
    > OpenAI-powered semantic search for any YouTube playlist — featuring the All-In Podcast 🔥
    COPY-PASTE FIX
    # YouTube Semantic Search Starter Kit 
    > An open-source, OpenAI-powered semantic search *example application* for any YouTube playlist – featuring the All-In Podcast. Build your own AI-powered search for video transcripts.
  • mediumtopics#2
    Add more specific topics to reflect its nature as a developer example

    Why:

    CURRENT
    openai, pinecone, podcast, search, youtube
    COPY-PASTE FIX
    openai, pinecone, podcast, search, youtube, semantic-search, starter-kit, example-app, video-transcription, ai-powered-search
  • lowreadme#3
    Emphasize 'full video transcripts' as a core differentiator in the README intro

    Why:

    COPY-PASTE FIX
    This project uses the latest models from OpenAI to build a semantic search index across every episode of the Pod, leveraging full video transcripts for deep contextual understanding. It allows you to find your favorite moments with Google-level accuracy and rewatch the exact clips you're interested in.

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 transitive-bullshit/yt-semantic-search
Avg rank
Lower is better. #1 = top recommendation.
Share of voice
0%
Of all named tools, what % are you?
Top rival
Pinecone
Recommended in 2 of 2 queries
COMPETITOR LEADERBOARD
  1. Pinecone · recommended 2×
  2. AssemblyAI · recommended 2×
  3. yt-dlp · recommended 2×
  4. Weaviate · recommended 2×
  5. Elasticsearch · recommended 2×
  • CATEGORY QUERY
    How to build a semantic search tool for long YouTube video playlists?
    you: not recommended
    AI recommended (in order):
    1. Pinecone
    2. OpenAI Embeddings
    3. YouTube Data API v3
    4. LangChain
    5. Whisper
    6. AssemblyAI
    7. yt-dlp
    8. Weaviate
    9. Sentence Transformers
    10. Haystack
    11. Elasticsearch
    12. Hugging Face Transformers
    13. Qdrant
    14. LlamaIndex
    15. Chroma

    AI recommended 15 alternatives but never named transitive-bullshit/yt-semantic-search. This is the gap to close.

    Show full AI answer
  • CATEGORY QUERY
    What's the best way to add AI-powered search to a YouTube channel's episodes?
    you: not recommended
    AI recommended (in order):
    1. Castmagic
    2. Podcastle.ai
    3. Descript
    4. YouTube's Built-in Search
    5. AssemblyAI
    6. yt-dlp
    7. Algolia
    8. Elasticsearch
    9. Deepgram
    10. Pinecone
    11. Weaviate

    AI recommended 11 alternatives but never named transitive-bullshit/yt-semantic-search. 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 transitive-bullshit/yt-semantic-search?
    pass
    AI did not name transitive-bullshit/yt-semantic-search — likely talking about a different project

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

  • If a team adopts transitive-bullshit/yt-semantic-search in production, what risks or prerequisites should they evaluate first?
    pass
    AI named transitive-bullshit/yt-semantic-search 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 transitive-bullshit/yt-semantic-search solve, and who is the primary audience?
    pass
    AI named transitive-bullshit/yt-semantic-search explicitly

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

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transitive-bullshit/yt-semantic-search — 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