RRepoGEO

REPOGEO REPORT · LITE

leonsim/simhash

Default branch master · commit 78f3b8d5 · scanned 5/9/2026, 5:43:39 AM

GitHub: 1,037 stars · 223 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 leonsim/simhash, 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
  • hightopics#1
    Add relevant topics to the repository

    Why:

    COPY-PASTE FIX
    simhash, python, near-duplicate-detection, text-similarity, data-deduplication, nlp
  • highreadme#2
    Expand the README's opening statement to highlight key features

    Why:

    CURRENT
    simhash
This is a Python implementation of Simhash.
    COPY-PASTE FIX
    leonsim/simhash is a Python implementation of the Simhash algorithm, optimized for efficient near-duplicate text detection. It features an integrated `SimhashIndex` for fast similarity lookups and flexible tokenization options.
  • mediumhomepage#3
    Add the project's blog post as the repository homepage

    Why:

    COPY-PASTE FIX
    http://leons.im/posts/a-python-implementation-of-simhash-algorithm/

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 leonsim/simhash
Avg rank
—
Lower is better. #1 = top recommendation.
Share of voice
0%
Of all named tools, what % are you?
Top rival
difflib
Recommended in 1 of 2 queries
COMPETITOR LEADERBOARD
  1. difflib · recommended 1×
  2. seatgeek/fuzzywuzzy · recommended 1×
  3. explosion/spaCy · recommended 1×
  4. scikit-learn/scikit-learn · recommended 1×
  5. RaRe-Technologies/gensim · recommended 1×
  • CATEGORY QUERY
    What Python libraries help identify highly similar or nearly identical text content?
    you: not recommended
    AI recommended (in order):
    1. difflib
    2. fuzzywuzzy (seatgeek/fuzzywuzzy)
    3. spaCy (explosion/spaCy)
    4. scikit-learn (scikit-learn/scikit-learn)
    5. gensim (RaRe-Technologies/gensim)
    6. TextDistance (life4/textdistance)

    AI recommended 6 alternatives but never named leonsim/simhash. This is the gap to close.

    Show full AI answer
  • CATEGORY QUERY
    Which Python packages offer efficient simhash algorithm implementations for large text datasets?
    you: not recommended
    AI recommended (in order):
    1. datasketch
    2. simhash-py
    3. textdistance
    4. simhash (from lepture)
    5. faiss

    AI recommended 5 alternatives but never named leonsim/simhash. 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 leonsim/simhash?
    pass
    AI named leonsim/simhash explicitly

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

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