RRepoGEO

REPOGEO REPORT · LITE

DeepXiv/deepxiv_sdk

Default branch main · commit 04d96f70 · scanned 6/6/2026, 10:07:49 PM

GitHub: 718 stars · 40 forks

AI VISIBILITY SCORE
35 /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
3 / 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 DeepXiv/deepxiv_sdk, 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
  • hightopics#1
    Add relevant topics to the repository

    Why:

    COPY-PASTE FIX
    ai-agent, arxiv, scientific-papers, nlp, rag, python-package, research-tool, llm-agents, paper-analysis, academic-research
  • highreadme#2
    Reposition the README's first sentence to clarify its SDK nature

    Why:

    CURRENT
    **DeepXiv is an agent-first paper search and progressive reading tool.**
    COPY-PASTE FIX
    **DeepXiv is a Python SDK for building AI agents that search and progressively read research papers.**
  • mediumreadme#3
    Reinforce the SDK aspect in the 'What DeepXiv Does' section

    Why:

    CURRENT
    ## What DeepXiv Does

DeepXiv is built around two workflows that matter for agents:

1. **Search + progressive content access** — read papers in layers, not all at once.
2. **Trending + popularity signals** — find what's worth reading right now.

The core idea: an agent should
    COPY-PASTE FIX
    ## What DeepXiv Does

DeepXiv is a Python SDK designed to empower developers to build AI agents around two core workflows:

1. **Search + progressive content access** — programmatically read papers in layers, not all at once.
2. **Trending + popularity signals** — programmatically find what's worth reading right now.

The core idea: an agent should

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 DeepXiv/deepxiv_sdk
Avg rank
—
Lower is better. #1 = top recommendation.
Share of voice
0%
Of all named tools, what % are you?
Top rival
Elicit
Recommended in 1 of 2 queries
COMPETITOR LEADERBOARD
  1. Elicit · recommended 1×
  2. Semantic Scholar · recommended 1×
  3. ChatGPT · recommended 1×
  4. Humata AI · recommended 1×
  5. SciSpace · recommended 1×
  • CATEGORY QUERY
    How can I quickly understand complex academic papers using AI assistance?
    you: not recommended
    AI recommended (in order):
    1. Elicit
    2. Semantic Scholar
    3. ChatGPT
    4. Humata AI
    5. SciSpace
    6. ResearchRabbit
    7. Paperpile

    AI recommended 7 alternatives but never named DeepXiv/deepxiv_sdk. This is the gap to close.

    Show full AI answer
  • CATEGORY QUERY
    Python library for AI-driven analysis and interactive querying of scientific articles.
    you: not recommended
    AI recommended (in order):
    1. Haystack
    2. LlamaIndex
    3. Gensim
    4. spaCy
    5. NLTK (Natural Language Toolkit)
    6. Scikit-learn

    AI recommended 6 alternatives but never named DeepXiv/deepxiv_sdk. 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 DeepXiv/deepxiv_sdk?
    pass
    AI named DeepXiv/deepxiv_sdk explicitly

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

  • If a team adopts DeepXiv/deepxiv_sdk in production, what risks or prerequisites should they evaluate first?
    pass
    AI named DeepXiv/deepxiv_sdk 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 DeepXiv/deepxiv_sdk solve, and who is the primary audience?
    pass
    AI named DeepXiv/deepxiv_sdk explicitly

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

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DeepXiv/deepxiv_sdk — 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