RRepoGEO

REPOGEO REPORT · LITE

MgArcher/Text_select_captcha

Default branch master · commit dcd1ac31 · scanned 6/25/2026, 7:22:59 AM

GitHub: 1,619 stars · 488 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
17 /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
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 MgArcher/Text_select_captcha, 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

2 prioritized changes generated by gemini-2.5-flash. Mark items done after you ship the fix.

OVERALL DIRECTION
  • highlicense#1
    Add a LICENSE file to the repository

    Why:

    COPY-PASTE FIX
    Create a LICENSE file in the repository root with the content of the MIT License (or another suitable open-source license).
  • mediumreadme#2
    Clarify the README's opening to position it as a captcha *solution*

    Why:

    CURRENT
    一款基于深度学习的高性能验证码识别解决方案，专为文字点选、选字、选择文字等交互式验证码设计。
    COPY-PASTE FIX
    一款基于深度学习的高性能**自动化**验证码识别解决方案，专为**破解**文字点选、选字、选择文字等交互式验证码设计，提供即用型API与库，旨在帮助开发者集成验证码绕过功能。

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 MgArcher/Text_select_captcha
Avg rank
—
Lower is better. #1 = top recommendation.
Share of voice
0%
Of all named tools, what % are you?
Top rival
TensorFlow
Recommended in 1 of 2 queries
COMPETITOR LEADERBOARD
  1. TensorFlow · recommended 1×
  2. PyTorch · recommended 1×
  3. Keras · recommended 1×
  4. MXNet · recommended 1×
  5. CNTK · recommended 1×
  • CATEGORY QUERY
    How can I automate solving text selection or click-based image captchas?
    you: not recommended
    Show full AI answer
  • CATEGORY QUERY
    What deep learning frameworks are available for breaking interactive character verification?
    you: not recommended
    AI recommended (in order):
    1. TensorFlow
    2. PyTorch
    3. Keras
    4. MXNet
    5. CNTK
    6. Theano

    AI recommended 6 alternatives but never named MgArcher/Text_select_captcha. 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 MgArcher/Text_select_captcha?
    pass
    AI did not name MgArcher/Text_select_captcha — 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 MgArcher/Text_select_captcha in production, what risks or prerequisites should they evaluate first?
    pass
    AI named MgArcher/Text_select_captcha 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 MgArcher/Text_select_captcha solve, and who is the primary audience?
    pass
    AI did not name MgArcher/Text_select_captcha — 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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MgArcher/Text_select_captcha — 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