RRepoGEO

REPOGEO REPORT · LITE

dleemiller/WordLlama

Default branch main · commit ee2b5302 · scanned 5/20/2026, 7:26:55 AM

GitHub: 1,451 stars · 50 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 dleemiller/WordLlama, 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

2 prioritized changes generated by gemini-2.5-flash. Mark items done after you ship the fix.

OVERALL DIRECTION
  • highabout#1
    Clarify the 'About' description to prevent miscategorization

    Why:

    CURRENT
    Things you can do with the token embeddings of an LLM
    COPY-PASTE FIX
    A fast, lightweight NLP toolkit for fuzzy deduplication, similarity, ranking, clustering, and semantic text splitting, optimized for CPU.
  • mediumhomepage#2
    Add a homepage URL

    Why:

    COPY-PASTE FIX
    https://github.com/dleemiller/WordLlama

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 dleemiller/WordLlama
Avg rank
—
Lower is better. #1 = top recommendation.
Share of voice
0%
Of all named tools, what % are you?
Top rival
spaCy
Recommended in 1 of 2 queries
COMPETITOR LEADERBOARD
  1. spaCy · recommended 1×
  2. Stanza · recommended 1×
  3. TextBlob · recommended 1×
  4. NLTK · recommended 1×
  5. Gensim · recommended 1×
  • CATEGORY QUERY
    Looking for a lightweight NLP toolkit for semantic text processing on CPU.
    you: not recommended
    AI recommended (in order):
    1. spaCy
    2. Stanza
    3. TextBlob
    4. NLTK
    5. Gensim

    AI recommended 5 alternatives but never named dleemiller/WordLlama. This is the gap to close.

    Show full AI answer
  • CATEGORY QUERY
    How to perform fast text deduplication and clustering in a resource-constrained environment?
    you: not recommended
    AI recommended (in order):
    1. datasketch
    2. SHA-256
    3. MD5
    4. scikit-learn
    5. TfidfVectorizer
    6. cosine_similarity
    7. K-Means
    8. DBSCAN
    9. scipy.sparse
    10. simhash
    11. suffix_trees
    12. HashingVectorizer

    AI recommended 12 alternatives but never named dleemiller/WordLlama. 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 dleemiller/WordLlama?
    pass
    AI named dleemiller/WordLlama explicitly

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

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

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

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dleemiller/WordLlama — 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