RRepoGEO

REPOGEO REPORT · LITE

run-llama/semtools

Default branch main · commit fe7f6d26 · scanned 5/9/2026, 5:43:02 PM

GitHub: 1,785 stars · 128 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 run-llama/semtools, 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 README opening to emphasize CLI application for users

    Why:

    CURRENT
    A high-performance CLI tool for document processing and semantic search, built with Rust for speed and reliability.
    COPY-PASTE FIX
    SemTools is a high-performance, user-facing CLI application for document processing and semantic search, built with Rust for speed and reliability. It's designed for anyone who needs to quickly parse documents, perform local semantic search, or query document collections directly from their terminal.
  • mediumhomepage#2
    Add a homepage URL to the repository metadata

    Why:

    COPY-PASTE FIX
    https://github.com/run-llama/semtools
  • lowtopics#3
    Add 'rag' and 'llm-agent' to repository topics

    Why:

    CURRENT
    cli, embeddings, parser, rust, search, semantic, semantic-search, static-embedding
    COPY-PASTE FIX
    cli, embeddings, llm-agent, parser, rag, rust, search, semantic, semantic-search, static-embedding

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 run-llama/semtools
Avg rank
—
Lower is better. #1 = top recommendation.
Share of voice
0%
Of all named tools, what % are you?
Top rival
Haystack
Recommended in 1 of 2 queries
COMPETITOR LEADERBOARD
  1. Haystack · recommended 1×
  2. Hugging Face Transformers · recommended 1×
  3. FAISS · recommended 1×
  4. ChromaDB · recommended 1×
  5. LlamaIndex · recommended 1×
  • CATEGORY QUERY
    How to perform local semantic search and parse documents from the command line?
    you: not recommended
    AI recommended (in order):
    1. Haystack
    2. Hugging Face Transformers
    3. FAISS
    4. ChromaDB
    5. LlamaIndex
    6. HuggingFaceEmbedding
    7. ChromaVectorStore
    8. FAISSPostgresVectorStore
    9. Sentence-Transformers
    10. Apache Tika
    11. pdftotext
    12. catdoc
    13. docx2txt
    14. unzip
    15. grep
    16. Ollama
    17. llama.cpp
    18. Recoll

    AI recommended 18 alternatives but never named run-llama/semtools. This is the gap to close.

    Show full AI answer
  • CATEGORY QUERY
    Looking for a Rust-based CLI tool to ask questions over document collections.
    you: not recommended
    AI recommended (in order):
    1. RAGatouille
    2. Qdrant
    3. LanceDB
    4. Tantivy
    5. Meilisearch

    AI recommended 5 alternatives but never named run-llama/semtools. 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 run-llama/semtools?
    pass
    AI named run-llama/semtools explicitly

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

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

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

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  • Brand-free category queries5 vs 2 in Lite
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