RRepoGEO

REPOGEO REPORT · LITE

RUC-NLPIR/DeepAgent

Default branch main · commit 2e25aba3 · scanned 5/30/2026, 10:17:52 AM

GitHub: 1,089 stars · 136 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 RUC-NLPIR/DeepAgent, 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", "llm-agent", "multi-agent-system", "tool-use", "api-integration", "reasoning-agent", "agent-framework", "evaluation-benchmark", "www2026"]
  • highreadme#2
    Clarify DeepAgent's role as a comprehensive framework with evaluation in the README opening

    Why:

    COPY-PASTE FIX
    DeepAgent is a comprehensive AI agent framework designed for building, simulating, and evaluating general reasoning agents with scalable toolsets, notably featuring an integrated evaluation benchmark for systematized assessment.
  • mediumhomepage#3
    Add the arXiv paper URL as the repository homepage

    Why:

    COPY-PASTE FIX
    https://arxiv.org/abs/2510.21618

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 RUC-NLPIR/DeepAgent
Avg rank
Lower is better. #1 = top recommendation.
Share of voice
0%
Of all named tools, what % are you?
Top rival
LangChain
Recommended in 2 of 2 queries
COMPETITOR LEADERBOARD
  1. LangChain · recommended 2×
  2. LlamaIndex · recommended 2×
  3. Haystack · recommended 2×
  4. AutoGPT · recommended 2×
  5. Microsoft Semantic Kernel · recommended 2×
  • CATEGORY QUERY
    How to build an AI agent that can reason and use many external tools?
    you: not recommended
    AI recommended (in order):
    1. LangChain
    2. LlamaIndex
    3. Haystack
    4. AutoGPT
    5. BabyAGI
    6. Microsoft Semantic Kernel
    7. OpenAI Function Calling

    AI recommended 7 alternatives but never named RUC-NLPIR/DeepAgent. This is the gap to close.

    Show full AI answer
  • CATEGORY QUERY
    What framework allows integrating a large number of APIs for autonomous AI agents?
    you: not recommended
    AI recommended (in order):
    1. LangChain
    2. LlamaIndex
    3. Microsoft Semantic Kernel
    4. Haystack
    5. OpenAI Assistants API
    6. AutoGPT

    AI recommended 6 alternatives but never named RUC-NLPIR/DeepAgent. 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 RUC-NLPIR/DeepAgent?
    pass
    AI named RUC-NLPIR/DeepAgent explicitly

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

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

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

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RUC-NLPIR/DeepAgent — 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