RRepoGEO

REPOGEO REPORT · LITE

ai-agents-2030/awesome-deep-research-agent

Default branch main · commit e2744741 · scanned 6/3/2026, 4:53:15 PM

GitHub: 617 stars · 55 forks

AI VISIBILITY SCORE
17 /100
Critical
Category recall
0 / 2
Not recommended in any query
Rule findings
1 pass · 0 warn · 1 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 ai-agents-2030/awesome-deep-research-agent, 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

2 prioritized changes generated by gemini-2.5-flash. Mark items done after you ship the fix.

OVERALL DIRECTION
  • highlicense#1
    Add a LICENSE file to the repository

    Why:

    CURRENT
    (no LICENSE file detected — the repo has no recognizable license)
    COPY-PASTE FIX
    Add a `LICENSE` file to the root of the repository, choosing an appropriate open-source license such as MIT or Apache-2.0. This clarifies usage terms for contributors and users.
  • mediumreadme#2
    Clarify the README's opening to emphasize its 'awesome list' nature

    Why:

    CURRENT
    # Awesome Deep Research Agent

We maintain a curated collection of papers exploring the path towards **Deep Research (DR) Agents**, focusing on formulating core concepts and mapping the research landscape.
    COPY-PASTE FIX
    # Awesome Deep Research Agent

This repository is an **awesome list** and a curated collection of papers exploring the path towards **Deep Research (DR) Agents**, focusing on formulating core concepts and mapping the research landscape. It serves as a comprehensive roadmap and resource hub for understanding and developing autonomous deep research agents.

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 ai-agents-2030/awesome-deep-research-agent
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. arXiv.org · recommended 1×
  4. Papers With Code · recommended 1×
  5. Hugging Face · recommended 1×
  • CATEGORY QUERY
    What resources can help me understand the current landscape of deep research agents?
    you: not recommended
    AI recommended (in order):
    1. arXiv.org
    2. Papers With Code
    3. Hugging Face
    4. DeepMind Blog
    5. OpenAI Blog
    6. The AI Engineer Summit
    7. Generative Agents: Interactive Simulacra of Human Behavior
    8. LangChain
    9. LlamaIndex

    AI recommended 9 alternatives but never named ai-agents-2030/awesome-deep-research-agent. This is the gap to close.

    Show full AI answer
  • CATEGORY QUERY
    Where can I find a comprehensive roadmap for developing autonomous deep research agents?
    you: not recommended
    AI recommended (in order):
    1. GPT-3
    2. GPT-4
    3. AlphaFold
    4. Auto-GPT
    5. BabyAGI
    6. LangChain
    7. LlamaIndex
    8. MetaGPT
    9. MuZero
    10. AlphaZero
    11. SOAR
    12. ACT-R
    13. PDDL

    AI recommended 13 alternatives but never named ai-agents-2030/awesome-deep-research-agent. This is the gap to close.

    Show full AI answer

Objective checks

Rule-based audits of metadata signals AI engines weight most.

  • Metadata completeness
    fail

    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 ai-agents-2030/awesome-deep-research-agent?
    pass
    AI did not name ai-agents-2030/awesome-deep-research-agent — 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 ai-agents-2030/awesome-deep-research-agent in production, what risks or prerequisites should they evaluate first?
    pass
    AI named ai-agents-2030/awesome-deep-research-agent 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 ai-agents-2030/awesome-deep-research-agent solve, and who is the primary audience?
    pass
    AI did not name ai-agents-2030/awesome-deep-research-agent — 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

Drop this badge into the README of ai-agents-2030/awesome-deep-research-agent. It auto-updates whenever the report is rescanned and links back to the latest report — easy public proof that you care about AI discoverability.

RepoGEO badge previewLive preview
MARKDOWN (README)
[![RepoGEO](https://repogeo.com/badge/ai-agents-2030/awesome-deep-research-agent.svg)](https://repogeo.com/en/r/ai-agents-2030/awesome-deep-research-agent)
HTML
<a href="https://repogeo.com/en/r/ai-agents-2030/awesome-deep-research-agent"><img src="https://repogeo.com/badge/ai-agents-2030/awesome-deep-research-agent.svg" alt="RepoGEO" /></a>
Pro

Subscribe to Pro for deep diagnoses

ai-agents-2030/awesome-deep-research-agent — 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