RRepoGEO

REPOGEO REPORT · LITE

patil-suraj/question_generation

Default branch master · commit c30e2976 · scanned 5/11/2026, 4:17:57 PM

GitHub: 1,146 stars · 349 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 patil-suraj/question_generation, 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 the README's opening to clarify the repo's role as a library

    Why:

    CURRENT
    The README starts with '# Question Generation using 🤗transformers' followed by a table of contents and then '## Project Details' which begins 'Question generation is the task of automatically generating questions from a text paragraph.'
    COPY-PASTE FIX
    Add the following sentence immediately after the H1 '# Question Generation using 🤗transformers':

"This repository provides a practical, open-source Python library for neural question generation, leveraging state-of-the-art Hugging Face Transformers models."
  • mediumhomepage#2
    Add a homepage URL to the repository's 'About' section

    Why:

    COPY-PASTE FIX
    Set the 'Homepage' URL in the repository's 'About' section to a relevant link, such as a demo, project page, or the repository URL itself if no other dedicated page exists (e.g., 'https://github.com/patil-suraj/question_generation').
  • mediumtopics#3
    Add more specific topics to better categorize the repository

    Why:

    CURRENT
    deep-learning, natural-language-generation, natural-language-processing, nlg, nlp, question-generation, t5, transformer
    COPY-PASTE FIX
    Add the following topics: `python-library`, `huggingface-transformers-implementation`

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 patil-suraj/question_generation
Avg rank
—
Lower is better. #1 = top recommendation.
Share of voice
0%
Of all named tools, what % are you?
Top rival
OpenAI API
Recommended in 1 of 2 queries
COMPETITOR LEADERBOARD
  1. OpenAI API · recommended 1×
  2. Hugging Face Transformers · recommended 1×
  3. Google Cloud AI Platform · recommended 1×
  4. TextCortex AI · recommended 1×
  5. Question.ai · recommended 1×
  • CATEGORY QUERY
    How can I automatically generate questions from a given text passage using AI?
    you: not recommended
    AI recommended (in order):
    1. OpenAI API
    2. Hugging Face Transformers
    3. Google Cloud AI Platform
    4. TextCortex AI
    5. Question.ai

    AI recommended 5 alternatives but never named patil-suraj/question_generation. This is the gap to close.

    Show full AI answer
  • CATEGORY QUERY
    What open-source libraries are available for neural question generation with transformer models?
    you: not recommended
    AI recommended (in order):
    1. Hugging Face Transformers (huggingface/transformers)
    2. Fairseq (facebookresearch/fairseq)
    3. OpenNMT-py (OpenNMT/OpenNMT-py)
    4. T5
    5. BART

    AI recommended 5 alternatives but never named patil-suraj/question_generation. 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 patil-suraj/question_generation?
    pass
    AI named patil-suraj/question_generation explicitly

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

  • If a team adopts patil-suraj/question_generation in production, what risks or prerequisites should they evaluate first?
    pass
    AI named patil-suraj/question_generation 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 patil-suraj/question_generation solve, and who is the primary audience?
    pass
    AI did not name patil-suraj/question_generation — 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?

Embed your GEO score

Drop this badge into the README of patil-suraj/question_generation. 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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patil-suraj/question_generation — Lite scans stay free; this card itemizes Pro deep limits vs Lite.

  • Deep reports10 / month
  • Brand-free category queries5 vs 2 in Lite
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