RRepoGEO

REPOGEO REPORT · LITE

zarazhangrui/codebase-to-course

Default branch main · commit ff8837ec · scanned 5/18/2026, 5:43:08 PM

GitHub: 4,389 stars · 462 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
23 /100
Critical
Category recall
0 / 2
Not recommended in any query
Rule findings
1 pass · 0 warn · 1 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 zarazhangrui/codebase-to-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
    Emphasize AI-driven learning for non-technical users in the README's first paragraph

    Why:

    CURRENT
    A Claude Code skill that turns any codebase into a beautiful, interactive single-page HTML course.
    COPY-PASTE FIX
    This AI-powered tool transforms any codebase into a beautiful, interactive single-page HTML course, specifically designed to help non-technical 'vibe coders' understand how software works.
  • hightopics#2
    Add relevant topics to improve AI categorization

    Why:

    COPY-PASTE FIX
    ai-education, code-understanding, llm-powered, interactive-learning, non-technical-users, generative-ai, developer-tools, html-course
  • mediumlicense#3
    Add a LICENSE file to the repository

    Why:

    COPY-PASTE FIX
    Create a LICENSE file in the repository root, choosing an appropriate open-source license (e.g., MIT, Apache-2.0, GPL-3.0) that aligns with your project's distribution intentions.

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 zarazhangrui/codebase-to-course
Avg rank
—
Lower is better. #1 = top recommendation.
Share of voice
0%
Of all named tools, what % are you?
Top rival
Understand. (by SciTools)
Recommended in 1 of 2 queries
COMPETITOR LEADERBOARD
  1. Understand. (by SciTools) · recommended 1×
  2. CodeSee Maps · recommended 1×
  3. sourcegraph/sourcegraph · recommended 1×
  4. Kite · recommended 1×
  5. GitHub's Code Navigation · recommended 1×
  • CATEGORY QUERY
    What tools help non-technical users understand how a codebase functions interactively?
    you: not recommended
    AI recommended (in order):
    1. Understand. (by SciTools)
    2. CodeSee Maps
    3. Sourcegraph (sourcegraph/sourcegraph)
    4. Kite
    5. GitHub's Code Navigation
    6. Jupyter Notebooks (jupyter/notebook)
    7. Visual Studio Code (microsoft/vscode)
    8. Code Tour (microsoft/codetour)

    AI recommended 8 alternatives but never named zarazhangrui/codebase-to-course. This is the gap to close.

    Show full AI answer
  • CATEGORY QUERY
    How to generate an interactive HTML course from a code repo for AI-driven development?
    you: not recommended
    AI recommended (in order):
    1. Jupyter Book (executablebooks/jupyter-book)
    2. Sphinx (sphinx-doc/sphinx)
    3. MyST-Parser (executablebooks/myst-parser)
    4. Furo (pradyunsg/furo)
    5. PyData Sphinx Theme (pydata/pydata-sphinx-theme)
    6. Quarto (quarto-dev/quarto-cli)
    7. MkDocs (mkdocs/mkdocs)
    8. Material for MkDocs (squidfunk/mkdocs-material)
    9. mkdocs-jupyter (danielfrg/mkdocs-jupyter)
    10. GitBook (GitbookIO/gitbook)
    11. Docusaurus (facebook/docusaurus)

    AI recommended 11 alternatives but never named zarazhangrui/codebase-to-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
    fail

    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 zarazhangrui/codebase-to-course?
    pass
    AI did not name zarazhangrui/codebase-to-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?

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

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

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zarazhangrui/codebase-to-course — 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