RRepoGEO

REPOGEO REPORT · LITE

masamasa59/ai-agent-papers

Default branch main · commit 1e1aad7d · scanned 5/17/2026, 3:08:00 AM

GitHub: 1,390 stars · 109 forks

Scan history for this repo

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.

Score trend (left → right: older → newer)

2 ready scans. Expand the table below for newest-first rows (10 per page, paginated).

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 masamasa59/ai-agent-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 intro to clarify repo type (paper collection vs. implementation)

    Why:

    CURRENT
    This repository curates the latest research papers on the applications and architectural technologies of AI agents. We perform weekly Arxiv searches using specific keywords and pick only those that are particularly interesting. Rather than striving for comprehensiveness, we add papers when they introduce a distinctively new approach or novel concept that stands out from existing methods.
    COPY-PASTE FIX
    This repository serves as a curated, up-to-date collection of research papers on AI agents, focusing on their applications and architectural technologies. Unlike agent frameworks or libraries, this repo is a resource for researchers and developers to understand the latest advancements, not to deploy or build agents directly. We perform weekly Arxiv searches using specific keywords and pick only those that are particularly interesting. Rather than striving for comprehensiveness, we add papers when they introduce a distinctively new approach or novel concept that stands out from existing methods.
  • highlicense#2
    Add a LICENSE file to the repository

    Why:

    COPY-PASTE FIX
    Create a LICENSE file in the repository root with an appropriate open-source license (e.g., MIT, Apache-2.0, or CC-BY-4.0 for content).
  • mediumhomepage#3
    Add a homepage URL to the repository settings

    Why:

    COPY-PASTE FIX
    Add a homepage URL to the repository settings, linking to a relevant project page, blog post, or the GitHub Pages for this repo if one is created.

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 masamasa59/ai-agent-papers
Avg rank
—
Lower is better. #1 = top recommendation.
Share of voice
0%
Of all named tools, what % are you?
Top rival
AutoGPT
Recommended in 2 of 2 queries
COMPETITOR LEADERBOARD
  1. AutoGPT · recommended 2×
  2. BabyAGI · recommended 2×
  3. AutoGen · recommended 2×
  4. LangChain Agents · recommended 1×
  5. LlamaIndex Agents · recommended 1×
  • CATEGORY QUERY
    Need to understand the latest advancements in autonomous AI agent systems and their applications.
    you: not recommended
    AI recommended (in order):
    1. AutoGPT
    2. BabyAGI
    3. LangChain Agents
    4. LlamaIndex Agents
    5. AutoGen
    6. Hugging Face Transformers Agents
    7. DeepMind's AlphaCode 2

    AI recommended 7 alternatives but never named masamasa59/ai-agent-papers. This is the gap to close.

    Show full AI answer
  • CATEGORY QUERY
    Where can I find a survey of novel planning and reasoning techniques for LLM agents?
    you: not recommended
    AI recommended (in order):
    1. ReAct
    2. AutoGPT
    3. BabyAGI
    4. AgentGPT
    5. LangChain
    6. LlamaIndex
    7. DSPy
    8. CrewAI
    9. AutoGen

    AI recommended 9 alternatives but never named masamasa59/ai-agent-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 masamasa59/ai-agent-papers?
    pass
    AI named masamasa59/ai-agent-papers explicitly

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

  • If a team adopts masamasa59/ai-agent-papers in production, what risks or prerequisites should they evaluate first?
    pass
    AI did not name masamasa59/ai-agent-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?

  • In one sentence, what problem does the repo masamasa59/ai-agent-papers solve, and who is the primary audience?
    pass
    AI did not name masamasa59/ai-agent-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?

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  • Brand-free category queries5 vs 2 in Lite
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