RRepoGEO

REPOGEO REPORT · LITE

ivan-bilan/The-NLP-Pandect

Default branch master · commit 40d6c4cb · scanned 5/15/2026, 3:37:39 AM

GitHub: 2,038 stars · 280 forks

AI VISIBILITY SCORE
22 /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
1 / 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
    Reposition README opening to emphasize curated guide/roadmap

    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 highly structured and curated guide, designed as a comprehensive learning roadmap for Natural Language Processing. It helps you find almost anything related to NLP that is available online, offering a guided path through topics, tools, research, and best practices.
  • mediumtopics#2
    Add more specific topics to clarify repo's nature as a guide/collection

    Why:

    CURRENT
    awesome-list, deeplearning, natural-language-processing, naturallanguageprocessing, nlp, pandect
    COPY-PASTE FIX
    awesome-list, deeplearning, natural-language-processing, naturallanguageprocessing, nlp, pandect, nlp-guide, nlp-roadmap, nlp-resources, resource-collection, learning-path
  • mediumhomepage#3
    Add repository URL as homepage in About section

    Why:

    COPY-PASTE FIX
    https://github.com/ivan-bilan/The-NLP-Pandect

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
Speech and Language Processing by Jurafsky and Martin
Recommended in 1 of 2 queries
COMPETITOR LEADERBOARD
  1. Speech and Language Processing by Jurafsky and Martin · recommended 1×
  2. Natural Language Processing with Transformers by Lewis Tunstall, Leandro von Werra, and Thomas Wolf · recommended 1×
  3. huggingface/transformers · recommended 1×
  4. Deep Learning for NLP (CS224n) by Stanford University · recommended 1×
  5. Hugging Face Blog · recommended 1×
  • CATEGORY QUERY
    Looking for an extensive guide to natural language processing tools, research, and best practices.
    you: not recommended
    AI recommended (in order):
    1. Speech and Language Processing by Jurafsky and Martin
    2. Natural Language Processing with Transformers by Lewis Tunstall, Leandro von Werra, and Thomas Wolf
    3. Hugging Face Transformers library (huggingface/transformers)
    4. Deep Learning for NLP (CS224n) by Stanford University
    5. Hugging Face Blog
    6. Hugging Face Documentation
    7. Hugging Face Datasets library (huggingface/datasets)
    8. Hugging Face Accelerate library (huggingface/accelerate)
    9. Applied Text Analysis with Python by Benjamin Bengfort, Tony Ojeda, and Rebecca Bilbro
    10. NLTK (nltk/nltk)
    11. spaCy (explosion/spaCy)
    12. scikit-learn (scikit-learn/scikit-learn)
    13. spaCy Documentation
    14. spaCy Universe
    15. NLTK Book (Natural Language Processing with Python)

    AI recommended 15 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 collection of NLP datasets, benchmarks, and learning materials?
    you: not recommended
    AI recommended (in order):
    1. Hugging Face Datasets
    2. ¡ß Transformers
    3. Papers With Code
    4. NLP Progress
    5. Kaggle
    6. Google Dataset Search
    7. Stanford NLP Group Resources

    AI recommended 7 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 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?

  • 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