RRepoGEO

REPOGEO REPORT · LITE

freedmand/semantra

Default branch main · commit 1aed8fd0 · scanned 5/21/2026, 1:38:29 AM

GitHub: 2,708 stars · 158 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
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 freedmand/semantra, 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
    Strengthen README's opening sentence to emphasize local, offline semantic search

    Why:

    CURRENT
    Semantra is a multipurpose tool for semantically searching documents. Query by meaning rather than just by matching text.
    COPY-PASTE FIX
    Semantra is a local, offline tool for semantically searching documents on your computer. Query by meaning rather than just by matching text.
  • mediumtopics#2
    Expand repository topics with more specific keywords

    Why:

    CURRENT
    cli, machine-learning, semantic-search
    COPY-PASTE FIX
    cli, machine-learning, semantic-search, local-search, offline-search, document-search, pdf-search, text-analysis, local-ui
  • lowreadme#3
    Add a 'Comparison' or 'Why Semantra?' section to the README

    Why:

    COPY-PASTE FIX
    ## Why Semantra?

Semantra stands apart from general-purpose AI frameworks like Haystack or Hugging Face Transformers by offering a complete, ready-to-use application for local semantic document search. Unlike generic desktop search tools such as DocFetcher or Recoll, Semantra focuses on meaning-based queries rather than keyword matching, and provides a dedicated local web UI for interactive exploration. It's designed for privacy-conscious individuals who need powerful semantic search without cloud dependencies.

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 freedmand/semantra
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. Llama 2 · recommended 1×
  4. Mistral · recommended 1×
  5. HuggingFaceLocalGenerator · recommended 1×
  • CATEGORY QUERY
    How can I semantically search local PDF and text documents from the command line?
    you: not recommended
    AI recommended (in order):
    1. Haystack
    2. Hugging Face Transformers
    3. Llama 2
    4. Mistral
    5. HuggingFaceLocalGenerator
    6. LlamaIndex
    7. SimpleDirectoryReader
    8. HuggingFaceEmbeddings
    9. llama_cpp
    10. ollama
    11. PyPDF2
    12. python-docx
    13. sentence-transformers
    14. FAISS
    15. DocArray
    16. Weaviate Embedded
    17. SentenceTransformerEncoder
    18. WeaviateClient
    19. Annoy
    20. Hnswlib
    21. faiss-cpu
    22. grep
    23. pdftotext
    24. poppler-utils
    25. mutool
    26. mupdf-tools
    27. ag (The Silver Searcher)
    28. rg (ripgrep)

    AI recommended 28 alternatives but never named freedmand/semantra. This is the gap to close.

    Show full AI answer
  • CATEGORY QUERY
    What is an easy offline tool for semantic document search with a local UI?
    you: not recommended
    AI recommended (in order):
    1. DocFetcher (DocFetcher/DocFetcher)
    2. Recoll (koniu/recoll)
    3. Keypirinha (Keypirinha/Keypirinha)
    4. Everything
    5. DEVONthink
    6. Zotero (zotero/zotero)
    7. Obsidian
    8. Dataview (blacksmithgu/obsidian-dataview)

    AI recommended 8 alternatives but never named freedmand/semantra. 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 freedmand/semantra?
    pass
    AI named freedmand/semantra explicitly

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

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

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

Embed your GEO score

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MARKDOWN (README)
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freedmand/semantra — 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
freedmand/semantra — RepoGEO report