RRepoGEO

REPOGEO REPORT · LITE

qx-labs/agents-deep-research

Default branch main · commit 5e7f4b23 · scanned 6/8/2026, 8:22:57 AM

GitHub: 772 stars · 93 forks

AI VISIBILITY SCORE
28 /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
2 / 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 qx-labs/agents-deep-research, 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 the README's opening to clarify it's an application, not a framework

    Why:

    CURRENT
    A powerful deep research assistant built using the OpenAI Agents SDK, designed to perform in-depth research on any given topic.
    COPY-PASTE FIX
    An advanced, multi-agent *application* for iterative deep research, built using the OpenAI Agents SDK. This tool is designed to perform in-depth research on any given topic, generating comprehensive reports.
  • mediumhomepage#2
    Add a homepage URL to the repository's About section

    Why:

    COPY-PASTE FIX
    Add a relevant URL (e.g., a project page, documentation, or a more specific GitHub Pages site) to the 'Homepage' field in the repository's 'About' section.
  • mediumtopics#3
    Add more specific, function-oriented topics

    Why:

    CURRENT
    agentic-ai, agents, deep-research, deepresearch, llms, openai
    COPY-PASTE FIX
    agentic-ai, agents, deep-research, deepresearch, llms, openai, research-automation, knowledge-synthesis, report-generation

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 qx-labs/agents-deep-research
Avg rank
—
Lower is better. #1 = top recommendation.
Share of voice
0%
Of all named tools, what % are you?
Top rival
OpenAI API
Recommended in 2 of 2 queries
COMPETITOR LEADERBOARD
  1. OpenAI API · recommended 2×
  2. LangChain · recommended 1×
  3. LlamaIndex · recommended 1×
  4. AutoGPT · recommended 1×
  5. BabyAGI · recommended 1×
  • CATEGORY QUERY
    How can I build an AI agent system for iterative deep research and analysis?
    you: not recommended
    AI recommended (in order):
    1. LangChain
    2. LlamaIndex
    3. AutoGPT
    4. BabyAGI
    5. OpenAI API
    6. GPT-4
    7. Assistants API
    8. Haystack
    9. CrewAI

    AI recommended 9 alternatives but never named qx-labs/agents-deep-research. This is the gap to close.

    Show full AI answer
  • CATEGORY QUERY
    Seeking a tool to conduct comprehensive topic research using multiple LLM models.
    you: not recommended
    AI recommended (in order):
    1. LangChain (langchain-ai/langchain)
    2. LlamaIndex (run-llama/llama_index)
    3. Haystack (deepset-ai/haystack)
    4. OpenAI API
    5. Anthropic API
    6. Google Cloud Vertex AI
    7. Hugging Face Transformers (huggingface/transformers)

    AI recommended 7 alternatives but never named qx-labs/agents-deep-research. 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 qx-labs/agents-deep-research?
    pass
    AI did not name qx-labs/agents-deep-research — 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 qx-labs/agents-deep-research in production, what risks or prerequisites should they evaluate first?
    pass
    AI named qx-labs/agents-deep-research 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 qx-labs/agents-deep-research solve, and who is the primary audience?
    pass
    AI named qx-labs/agents-deep-research explicitly

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

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qx-labs/agents-deep-research — Lite scans stay free; this card itemizes Pro deep limits vs Lite.

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  • Brand-free category queries5 vs 2 in Lite
  • Prioritized action items8 vs 3 in Lite