RRepoGEO

REPOGEO REPORT · LITE

ivan-bilan/The-NLP-Pandect

Default branch master · commit 87385919 · scanned 6/25/2026, 6:12:29 PM

GitHub: 2,036 stars · 279 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)

3 ready scans. Expand the table below for newest-first rows (10 per page, paginated).

AI VISIBILITY SCORE
28 /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
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 ivan-bilan/The-NLP-Pandect, 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 to emphasize its 'curated list' nature

    Why:

    CURRENT
    This pandect (πανδέκτης is Ancient Greek for encyclopedia) was created to help you find almost anything related to Natural Language Processing that is available online.
    COPY-PASTE FIX
    This pandect (πανδέκτης is Ancient Greek for encyclopedia) is a comprehensive, curated collection of almost anything related to Natural Language Processing that is available online, serving as your one-stop reference for tools, papers, podcasts, and best practices.
  • highhomepage#2
    Add a homepage URL to the repository's About section

    Why:

    COPY-PASTE FIX
    https://github.com/ivan-bilan/The-NLP-Pandect
  • mediumtopics#3
    Expand repository topics to include specific resource types

    Why:

    CURRENT
    awesome-list, deeplearning, natural-language-processing, naturallanguageprocessing, nlp, pandect
    COPY-PASTE FIX
    awesome-list, deeplearning, natural-language-processing, naturallanguageprocessing, nlp, pandect, nlp-resources, nlp-podcasts, nlp-benchmarks, nlp-best-practices

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 ivan-bilan/The-NLP-Pandect
Avg rank
Lower is better. #1 = top recommendation.
Share of voice
0%
Of all named tools, what % are you?
Top rival
Papers With Code
Recommended in 2 of 2 queries
COMPETITOR LEADERBOARD
  1. Papers With Code · recommended 2×
  2. Hugging Face Transformers · recommended 1×
  3. Hugging Face Datasets · recommended 1×
  4. Hugging Face Hub · recommended 1×
  5. spaCy · recommended 1×
  • CATEGORY QUERY
    What are the best comprehensive resources for natural language processing tools, papers, and projects?
    you: not recommended
    AI recommended (in order):
    1. Hugging Face Transformers
    2. Hugging Face Datasets
    3. Hugging Face Hub
    4. Papers With Code
    5. spaCy
    6. NLTK
    7. AllenNLP
    8. Stanford CoreNLP
    9. Gensim

    AI recommended 9 alternatives but never named ivan-bilan/The-NLP-Pandect. This is the gap to close.

    Show full AI answer
  • CATEGORY QUERY
    Where can I find a curated list of NLP podcasts, benchmarks, and industry best practices?
    you: not recommended
    AI recommended (in order):
    1. Hugging Face Blog
    2. 🤗 Transformers Library
    3. Papers With Code
    4. NLP Highlights Podcast
    5. The Gradient
    6. Towards Data Science
    7. Stanford NLP Group
    8. Google AI Blog
    9. Meta AI Blog

    AI recommended 9 alternatives but never named ivan-bilan/The-NLP-Pandect. 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 ivan-bilan/The-NLP-Pandect?
    pass
    AI named ivan-bilan/The-NLP-Pandect explicitly

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

  • If a team adopts ivan-bilan/The-NLP-Pandect in production, what risks or prerequisites should they evaluate first?
    pass
    AI named ivan-bilan/The-NLP-Pandect 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 ivan-bilan/The-NLP-Pandect solve, and who is the primary audience?
    pass
    AI did not name ivan-bilan/The-NLP-Pandect — 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?

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ivan-bilan/The-NLP-Pandect — 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