RRepoGEO

REPOGEO REPORT · LITE

Dainoar/SuperAutoStudy

Default branch master · commit a2788b37 · scanned 6/1/2026, 10:57:15 PM

GitHub: 533 stars · 47 forks

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 Dainoar/SuperAutoStudy, 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
  • hightopics#1
    Add specific domain-relevant topics

    Why:

    CURRENT
    java, llm, springboot
    COPY-PASTE FIX
    java, llm, springboot, online-learning, course-automation, academic-assistance, educational-tools, auto-study, chaoxing-xuexitong
  • highreadme#2
    Add a direct repositioning statement to the README

    Why:

    COPY-PASTE FIX
    SuperAutoStudy is an open-source platform designed to automate online course tasks and quiz completion for platforms like Chaoxing Xuexitong, not for spaced repetition or flashcard management. (Insert this immediately after the H1, before the current first paragraph)
  • mediumhomepage#3
    Set the repository as the homepage link

    Why:

    COPY-PASTE FIX
    https://github.com/Dainoar/SuperAutoStudy

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 Dainoar/SuperAutoStudy
Avg rank
—
Lower is better. #1 = top recommendation.
Share of voice
0%
Of all named tools, what % are you?
Top rival
Selenium WebDriver
Recommended in 1 of 2 queries
COMPETITOR LEADERBOARD
  1. Selenium WebDriver · recommended 1×
  2. Puppeteer · recommended 1×
  3. Playwright · recommended 1×
  4. AutoHotkey · recommended 1×
  5. iMacros · recommended 1×
  • CATEGORY QUERY
    Seeking a self-deployable tool to automate online course progress and quiz completion.
    you: not recommended
    AI recommended (in order):
    1. Selenium WebDriver
    2. Puppeteer
    3. Playwright
    4. AutoHotkey
    5. iMacros

    AI recommended 5 alternatives but never named Dainoar/SuperAutoStudy. This is the gap to close.

    Show full AI answer
  • CATEGORY QUERY
    What open-source Java projects help automate online learning tasks with intelligent answering?
    you: not recommended
    AI recommended (in order):
    1. Apache OpenNLP
    2. Stanford CoreNLP
    3. Deeplearning4j (DL4J) (deeplearning4j/deeplearning4j)
    4. Apache UIMA
    5. DKPro Core (dkpro/dkpro-core)
    6. Apache Lucene
    7. Apache Solr
    8. OpenNMT-py (OpenNMT/OpenNMT-py)

    AI recommended 8 alternatives but never named Dainoar/SuperAutoStudy. 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 Dainoar/SuperAutoStudy?
    pass
    AI did not name Dainoar/SuperAutoStudy — 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 Dainoar/SuperAutoStudy in production, what risks or prerequisites should they evaluate first?
    pass
    AI named Dainoar/SuperAutoStudy 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 Dainoar/SuperAutoStudy solve, and who is the primary audience?
    pass
    AI named Dainoar/SuperAutoStudy explicitly

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

Embed your GEO score

Drop this badge into the README of Dainoar/SuperAutoStudy. It auto-updates whenever the report is rescanned and links back to the latest report — easy public proof that you care about AI discoverability.

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MARKDOWN (README)
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<a href="https://repogeo.com/en/r/Dainoar/SuperAutoStudy"><img src="https://repogeo.com/badge/Dainoar/SuperAutoStudy.svg" alt="RepoGEO" /></a>
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Dainoar/SuperAutoStudy — 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