RRepoGEO

REPOGEO REPORT · LITE

nancheng58/Awesome-LLM4RS-Papers

Default branch main · commit 760406b5 · scanned 6/6/2026, 9:07:29 AM

GitHub: 763 stars · 65 forks

AI VISIBILITY SCORE
22 /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
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 nancheng58/Awesome-LLM4RS-Papers, 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 README opening to emphasize 'awesome and curated list'

    Why:

    CURRENT
    This is a paper list about Large Language Model-enhanced Recommender System. It also contains some related works.
    COPY-PASTE FIX
    This is an **awesome and curated list of research papers** specifically on Large Language Model-enhanced Recommender Systems (LLM4RS). It provides a structured collection of key works for researchers and practitioners in this field.
  • highlicense#2
    Add a LICENSE file to the repository

    Why:

    COPY-PASTE FIX
    Create a `LICENSE` file in the repository root with the content of the Creative Commons Attribution 4.0 International (CC-BY-4.0) license, suitable for a curated list of content.
  • mediumhomepage#3
    Set the repository homepage URL

    Why:

    COPY-PASTE FIX
    Set the repository's homepage URL to `https://github.com/nancheng58/Awesome-LLM4RS-Papers` in the repository settings.

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 nancheng58/Awesome-LLM4RS-Papers
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. huggingface/transformers · recommended 1×
  3. BERT · recommended 1×
  4. RoBERTa · recommended 1×
  5. T5 · recommended 1×
  • CATEGORY QUERY
    Looking for research on integrating large language models into personalized recommendation systems.
    you: not recommended
    AI recommended (in order):
    1. OpenAI API
    2. Hugging Face Transformers (huggingface/transformers)
    3. BERT
    4. RoBERTa
    5. T5
    6. Llama 2
    7. Sentence-BERT (UKPLab/sentence-transformers)
    8. Google's PaLM 2 / Gemini API
    9. BLOOM
    10. Falcon
    11. Cohere API
    12. Google's Dialogflow / Vertex AI Conversation
    13. BlenderBot
    14. DialoGPT
    15. GPT-2/GPT-NeoX

    AI recommended 15 alternatives but never named nancheng58/Awesome-LLM4RS-Papers. This is the gap to close.

    Show full AI answer
  • CATEGORY QUERY
    Where can I find recent academic papers on LLM applications in recommendation engines?
    you: not recommended
    AI recommended (in order):
    1. arXiv.org
    2. Google Scholar
    3. ACM Digital Library
    4. IEEE Xplore Digital Library
    5. Semantic Scholar
    6. Microsoft Academic
    7. RecSys
    8. KDD
    9. WWW
    10. SIGIR

    AI recommended 10 alternatives but never named nancheng58/Awesome-LLM4RS-Papers. 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 nancheng58/Awesome-LLM4RS-Papers?
    pass
    AI did not name nancheng58/Awesome-LLM4RS-Papers — 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 nancheng58/Awesome-LLM4RS-Papers in production, what risks or prerequisites should they evaluate first?
    pass
    AI named nancheng58/Awesome-LLM4RS-Papers 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 nancheng58/Awesome-LLM4RS-Papers solve, and who is the primary audience?
    pass
    AI did not name nancheng58/Awesome-LLM4RS-Papers — 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

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  • Brand-free category queries5 vs 2 in Lite
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