RRepoGEO

REPOGEO REPORT · LITE

explosion/spacy-course

Default branch master · commit 77d8ee16 · scanned 5/10/2026, 5:12:38 PM

GitHub: 2,419 stars · 376 forks

AI VISIBILITY SCORE
33 /100
Critical
Category recall
0 / 2
Not recommended in any query
Rule findings
2 pass · 0 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 explosion/spacy-course, 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 primary identity as an interactive course

    Why:

    CURRENT
    # Advanced NLP with spaCy: A free online course
    
    This repo contains both an **online course**, as well as its modern open-source web framework.
    COPY-PASTE FIX
    # Advanced NLP with spaCy: A free online course
    
    This is **the official, free, and interactive online course for advanced NLP with spaCy**, designed for self-study. It provides practical examples and hands-on exercises to build natural language understanding systems using both rule-based and machine learning approaches.
  • mediumreadme#2
    Add a 'Why this course?' section to highlight unique value

    Why:

    COPY-PASTE FIX
    ## ✨ Why this course?
    
    This is the official, comprehensive, and interactive learning resource for spaCy, developed and maintained by Explosion AI, the creators of the library. It ensures you learn the most accurate, up-to-date, and idiomatic ways to use spaCy for advanced NLP.
  • lowtopics#3
    Review topics for additional course-specific or platform-agnostic terms

    Why:

    CURRENT
    binder, course, dependency-parsing, gatsby, gatsbyjs, jupyter, machine-learning, named-entity-recognition, natural-language-processing, nlp, online-course, part-of-speech-tagging, spacy, word-vectors
    COPY-PASTE FIX
    binder, course, dependency-parsing, gatsby, gatsbyjs, jupyter, machine-learning, named-entity-recognition, natural-language-processing, nlp, online-course, part-of-speech-tagging, spacy, word-vectors, interactive-learning, educational-resource, self-study

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 explosion/spacy-course
Avg rank
Lower is better. #1 = top recommendation.
Share of voice
0%
Of all named tools, what % are you?
Top rival
DeepLearning.AI
Recommended in 1 of 2 queries
COMPETITOR LEADERBOARD
  1. DeepLearning.AI · recommended 1×
  2. Coursera · recommended 1×
  3. Stanford University · recommended 1×
  4. YouTube · recommended 1×
  5. Hugging Face · recommended 1×
  • CATEGORY QUERY
    Where can I find an interactive online course for advanced natural language processing?
    you: not recommended
    AI recommended (in order):
    1. DeepLearning.AI
    2. Coursera
    3. Stanford University
    4. YouTube
    5. Hugging Face
    6. Hugging Face Transformers (huggingface/transformers)
    7. fast.ai
    8. edX
    9. Microsoft
    10. IBM
    11. Udemy

    AI recommended 11 alternatives but never named explosion/spacy-course. This is the gap to close.

    Show full AI answer
  • CATEGORY QUERY
    Seeking resources to learn building natural language understanding systems with practical examples.
    you: not recommended
    AI recommended (in order):
    1. Hugging Face Transformers Library & Ecosystem
    2. spaCy
    3. NLTK (Natural Language Toolkit)
    4. fast.ai's "Practical Deep Learning for Coders"
    5. Stanford NLP Group's CoreNLP
    6. Google Cloud Natural Language API
    7. Microsoft Azure AI Language

    AI recommended 7 alternatives but never named explosion/spacy-course. This is the gap to close.

    Show full AI answer

Objective checks

Rule-based audits of metadata signals AI engines weight most.

  • Metadata completeness
    pass

  • 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 explosion/spacy-course?
    pass
    AI named explosion/spacy-course explicitly

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

  • If a team adopts explosion/spacy-course in production, what risks or prerequisites should they evaluate first?
    pass
    AI named explosion/spacy-course 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 explosion/spacy-course solve, and who is the primary audience?
    pass
    AI did not name explosion/spacy-course — 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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  • Deep reports10 / month
  • Brand-free category queries5 vs 2 in Lite
  • Prioritized action items8 vs 3 in Lite