RRepoGEO

REPOGEO REPORT · LITE

IAAR-Shanghai/SurveyX

Default branch main · commit 01faa2ca · scanned 6/15/2026, 8:13:10 AM

GitHub: 977 stars · 97 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 IAAR-Shanghai/SurveyX, 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
    Rephrase the README's introductory paragraph to clarify the open-source repo's core function.

    Why:

    CURRENT
    ✨Welcome to SurveyX! If you want to experience the full features, please log in to our website. This open-source code only provides offline processing capabilities.✨
    COPY-PASTE FIX
    ✨Welcome to SurveyX! This open-source repository provides powerful offline processing capabilities for academic survey automation, leveraging Large Language Models to generate high-quality, domain-specific academic papers and surveys. For the full suite of features, please visit our website.✨
  • highlicense#2
    Add a LICENSE file to the repository.

    Why:

    COPY-PASTE FIX
    Create a `LICENSE` file in the repository root, specifying the chosen open-source license (e.g., MIT, Apache-2.0, GPL-3.0).
  • mediumabout#3
    Expand the repository's 'About' description.

    Why:

    CURRENT
    Academic Survey Paper Generation.
    COPY-PASTE FIX
    Automate the generation of academic survey papers and literature reviews using Large Language Models (LLMs). This open-source repository provides offline processing capabilities for research literature synthesis.

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 IAAR-Shanghai/SurveyX
Avg rank
—
Lower is better. #1 = top recommendation.
Share of voice
0%
Of all named tools, what % are you?
Top rival
Hugging Face Transformers
Recommended in 1 of 2 queries
COMPETITOR LEADERBOARD
  1. Hugging Face Transformers · recommended 1×
  2. Gensim · recommended 1×
  3. spaCy · recommended 1×
  4. OpenNMT · recommended 1×
  5. SciBERT / BioBERT · recommended 1×
  • CATEGORY QUERY
    How can I automate the generation of academic survey papers from research literature?
    you: not recommended
    AI recommended (in order):
    1. Hugging Face Transformers
    2. Gensim
    3. spaCy
    4. OpenNMT
    5. SciBERT / BioBERT
    6. Apache OpenNLP
    7. NLTK

    AI recommended 7 alternatives but never named IAAR-Shanghai/SurveyX. This is the gap to close.

    Show full AI answer
  • CATEGORY QUERY
    What LLM-based tools assist with automated literature synthesis for academic research?
    you: not recommended
    AI recommended (in order):
    1. Elicit
    2. Scite.ai
    3. Connected Papers
    4. Semantic Scholar
    5. ResearchRabbit
    6. ChatGPT/GPT-4
    7. Humata AI

    AI recommended 7 alternatives but never named IAAR-Shanghai/SurveyX. 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 IAAR-Shanghai/SurveyX?
    pass
    AI did not name IAAR-Shanghai/SurveyX — 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 IAAR-Shanghai/SurveyX in production, what risks or prerequisites should they evaluate first?
    pass
    AI named IAAR-Shanghai/SurveyX 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 IAAR-Shanghai/SurveyX solve, and who is the primary audience?
    pass
    AI named IAAR-Shanghai/SurveyX explicitly

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

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IAAR-Shanghai/SurveyX — 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