RRepoGEO

REPOGEO REPORT · LITE

btahir/open-deep-research

Default branch main · commit 3da9abdb · scanned 6/23/2026, 6:13:00 PM

GitHub: 2,140 stars · 198 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
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
  • hightopics#1
    Add relevant topics to the repository

    Why:

    COPY-PASTE FIX
    ai, research-assistant, report-generation, web-search, open-source, llm, gemini-alternative, gpt, anthropic, deepseek, jinaai
  • highreadme#2
    Reposition the README's opening paragraph to clarify its nature as an application and alternative

    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 an open-source application and powerful AI-powered research assistant that generates comprehensive reports directly from web search results. It serves as a direct alternative to commercial solutions like Gemini Deep Research, offering 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.
  • mediumcomparison#3
    Add a 'Comparison with Alternatives' section to the README

    Why:

    COPY-PASTE FIX
    ## Comparison with Alternatives

Unlike LLM frameworks such as LlamaIndex or LangChain, Open Deep Research is a complete, ready-to-use application designed for end-users to generate AI-powered reports, rather than a library for developers to build their own. While it leverages powerful AI models like GPT-4 and Gemini, it integrates them into a streamlined workflow for search, content extraction, and report generation, offering a more comprehensive solution than using generic APIs directly. It also differs from web scraping tools like ScrapeStorm or Browse AI by focusing on synthesizing information into structured reports, not just data extraction.

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
ScrapeStorm
Recommended in 1 of 2 queries
COMPETITOR LEADERBOARD
  1. ScrapeStorm · recommended 1×
  2. GPT-4 API · recommended 1×
  3. Claude 3 Opus API · recommended 1×
  4. Gemini Advanced API · recommended 1×
  5. Browse AI · recommended 1×
  • CATEGORY QUERY
    How can I generate comprehensive research reports from web search results using AI?
    you: not recommended
    AI recommended (in order):
    1. ScrapeStorm
    2. GPT-4 API
    3. Claude 3 Opus API
    4. Gemini Advanced API
    5. Browse AI
    6. Make
    7. Zapier
    8. Axiom.ai
    9. Octoparse
    10. BeautifulSoup
    11. Scrapy
    12. OpenAI API
    13. Perplexity AI
    14. ChatGPT Plus
    15. Google SGE

    AI recommended 15 alternatives but never named btahir/open-deep-research. This is the gap to close.

    Show full AI answer
  • CATEGORY QUERY
    Seeking an open-source alternative for AI-driven research report generation with customizable models.
    you: not recommended
    AI recommended (in order):
    1. LlamaIndex
    2. Haystack
    3. LangChain
    4. OpenAI's API
    5. Hugging Face Transformers Library

    AI recommended 5 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 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?

  • If a team adopts btahir/open-deep-research in production, what risks or prerequisites should they evaluate first?
    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?

  • 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