RRepoGEO

REPOGEO REPORT · LITE

btahir/open-deep-research

Default branch main · commit 3da9abdb · scanned 5/13/2026, 7:37:48 AM

GitHub: 2,136 stars · 198 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 btahir/open-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 clearly state its category and unique value

    Why:

    CURRENT
    A powerful open-source research assistant that generates comprehensive AI-powered reports from web search results. Unlike other Deep Research solutions, it provides seamless integration with multiple AI platforms including Google, OpenAI, Anthropic, DeepSeek, and even local models - giving you the freedom to choose the perfect AI model for your specific research requirements.
    COPY-PASTE FIX
    Open Deep Research is a powerful, open-source **AI research assistant** that generates comprehensive, customizable reports from web search results. It stands out by offering seamless integration with multiple AI platforms (Google, OpenAI, Anthropic, DeepSeek, local models) and providing a full, ready-to-use application, unlike many frameworks or commercial-only solutions.
  • hightopics#2
    Add relevant topics to improve categorization

    Why:

    COPY-PASTE FIX
    ai-research-assistant, report-generation, web-scraping, llm, open-source, generative-ai, multi-llm, research-tool
  • mediumreadme#3
    Add a clarifying sentence about 'Deep Research' in the README

    Why:

    COPY-PASTE FIX
    Note: 'Deep Research' in this context refers to generating comprehensive, in-depth reports from web content, not to the field of deep learning.

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 btahir/open-deep-research
Avg rank
—
Lower is better. #1 = top recommendation.
Share of voice
0%
Of all named tools, what % are you?
Top rival
deepset-ai/haystack
Recommended in 1 of 2 queries
COMPETITOR LEADERBOARD
  1. deepset-ai/haystack · recommended 1×
  2. run-llama/llama_index · recommended 1×
  3. langchain-ai/langchain · recommended 1×
  4. scrapy/scrapy · recommended 1×
  5. crummy/BeautifulSoup · recommended 1×
  • CATEGORY QUERY
    Seeking an open-source tool to generate detailed AI-powered research reports from web content.
    you: not recommended
    AI recommended (in order):
    1. Haystack (deepset-ai/haystack)
    2. LlamaIndex (run-llama/llama_index)
    3. LangChain (langchain-ai/langchain)
    4. Scrapy (scrapy/scrapy)
    5. BeautifulSoup (crummy/BeautifulSoup)

    AI recommended 5 alternatives but never named btahir/open-deep-research. This is the gap to close.

    Show full AI answer
  • CATEGORY QUERY
    Which AI research assistant can synthesize web results using different large language models?
    you: not recommended
    AI recommended (in order):
    1. Perplexity AI
    2. Elicit
    3. Consensus
    4. ChatGPT
    5. Web Pilot
    6. Link Reader
    7. Claude
    8. You.com
    9. YouChat
    10. Bard

    AI recommended 10 alternatives but never named btahir/open-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 btahir/open-deep-research?
    pass
    AI did not name btahir/open-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 btahir/open-deep-research in production, what risks or prerequisites should they evaluate first?
    pass
    AI named btahir/open-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 btahir/open-deep-research solve, and who is the primary audience?
    pass
    AI named btahir/open-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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btahir/open-deep-research — 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