REPOGEO REPORT · LITE
xianshang33/llm-paper-daily
Default branch main · commit 45636c32 · scanned 5/17/2026, 9:18:33 AM
GitHub: 1,241 stars · 53 forks
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.
2 ready scans. Expand the table below for newest-first rows (10 per page, paginated).
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 xianshang33/llm-paper-daily, 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.
- highreadme#1Refine the README's opening statement to emphasize curated daily updates
Why:
CURRENT欢迎来到 **llm-paper-daily**! 这是一个获取 LLM、Agent 相关研究论文的每日更新和分类平台。
COPY-PASTE FIX厌倦了在海量 LLM 论文中迷失方向?**llm-paper-daily** 每日为您精选、总结并推送最新的 LLM 和 Agent 研究论文,助您轻松掌握前沿动态。
- highlicense#2Add a LICENSE file to clarify usage rights
Why:
COPY-PASTE FIXCreate a LICENSE file in the repository root with a standard open-source license (e.g., MIT, Apache-2.0, GPL-3.0) that best suits the project's intent.
- mediumhomepage#3Add a homepage URL to the repository's About section
Why:
COPY-PASTE FIXAdd a relevant URL (e.g., a project website, a blog post explaining the project, or a direct link to the `README_en.md` file) to the 'Homepage' field 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.
- Papers With Code · recommended 2×
- Google AI · recommended 2×
- OpenAI · recommended 2×
- Meta AI · recommended 2×
- Hugging Face · recommended 2×
- CATEGORY QUERYHow can I easily stay updated on the newest research papers in large language models daily?you: not recommendedAI recommended (in order):
- arXiv Sanity Preserver (karpathy/arxiv-sanity-preserver)
- Papers With Code
- Connected Papers
- Twitter (X)
- Google AI
- DeepMind
- OpenAI
- Meta AI
- Hugging Face
- Hugging Face Blog/Newsletter
- The Batch by DeepLearning.AI
- Import AI by Jack Clark
- Google Scholar Alerts
AI recommended 13 alternatives but never named xianshang33/llm-paper-daily. This is the gap to close.
Show full AI answer
- CATEGORY QUERYWhere can I find a curated feed of recent research on LLM agents and RAG techniques?you: not recommendedAI recommended (in order):
- arXiv.org
- Hugging Face
- Papers With Code
- AI Alignment Forum
- LessWrong
- The Batch
- Google AI
- OpenAI
- Meta AI
- Anthropic
- Semantic Scholar
AI recommended 12 alternatives but never named xianshang33/llm-paper-daily. This is the gap to close.
Show full AI answer
Objective checks
Rule-based audits of metadata signals AI engines weight most.
- Metadata completenesswarn
Suggestion:
- README presencepass
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 xianshang33/llm-paper-daily?passAI named xianshang33/llm-paper-daily explicitly
AI answers can be confidently wrong. Read for accuracy: does it match your actual tech stack, audience, and differentiator?
- If a team adopts xianshang33/llm-paper-daily in production, what risks or prerequisites should they evaluate first?passAI named xianshang33/llm-paper-daily 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 xianshang33/llm-paper-daily solve, and who is the primary audience?passAI named xianshang33/llm-paper-daily explicitly
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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xianshang33/llm-paper-daily — 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