RRepoGEO

REPOGEO REPORT · LITE

nickscamara/open-deep-research

Default branch main · commit eea0962c · scanned 5/26/2026, 6:22:35 PM

GitHub: 6,238 stars · 736 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 nickscamara/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 README opening to clarify it's an AI agent application template

    Why:

    CURRENT
    An Open-Source clone of Open AI's Deep Research experiment. Instead of using a fine-tuned version of o3, this method uses Firecrawl's extract + search with a reasoning model to deep research the web.
    COPY-PASTE FIX
    Open Deep Research is an open-source, full-stack application template for building AI agents that perform deep web research and structured data extraction. It leverages Firecrawl's powerful extract and search capabilities with a reasoning model to enable comprehensive web data analysis.
  • hightopics#2
    Add relevant topics to improve categorization

    Why:

    COPY-PASTE FIX
    ai-agent, deep-research, web-scraping, data-extraction, firecrawl, nextjs, react, llm, vercel, full-stack, ai-sdk, agentic-ai
  • mediumlicense#3
    Clarify the project's license in the README

    Why:

    COPY-PASTE FIX
    ## License

This project is licensed under [Insert specific license name(s) here, e.g., 'the MIT License and Apache-2.0 License']. Please see the `LICENSE` file for full details.

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 nickscamara/open-deep-research
Avg rank
—
Lower is better. #1 = top recommendation.
Share of voice
0%
Of all named tools, what % are you?
Top rival
scrapy/scrapy
Recommended in 1 of 2 queries
COMPETITOR LEADERBOARD
  1. scrapy/scrapy · recommended 1×
  2. crummy/BeautifulSoup · recommended 1×
  3. microsoft/playwright · recommended 1×
  4. SeleniumHQ/selenium · recommended 1×
  5. explosion/spaCy · recommended 1×
  • CATEGORY QUERY
    How to build an AI agent for deep web research and structured data extraction?
    you: not recommended
    AI recommended (in order):
    1. Scrapy (scrapy/scrapy)
    2. Beautiful Soup (crummy/BeautifulSoup)
    3. Playwright (microsoft/playwright)
    4. Selenium (SeleniumHQ/selenium)
    5. spaCy (explosion/spaCy)
    6. NLTK (nltk/nltk)
    7. Pandas (pandas-dev/pandas)
    8. Scikit-learn (scikit-learn/scikit-learn)
    9. PyTorch (pytorch/pytorch)
    10. TensorFlow (tensorflow/tensorflow)
    11. Portia (scrapinghub/portia)
    12. Apify
    13. Cheerio (cheeriojs/cheerio)
    14. JSDOM (jsdom/jsdom)
    15. Puppeteer (puppeteer/puppeteer)
    16. Microsoft Power Automate Desktop
    17. AI Builder
    18. Azure Cognitive Services
    19. Google Cloud Dataflow
    20. Cloud Natural Language API
    21. Cloud Vision API
    22. Requests (psf/requests)
    23. Regular Expressions

    AI recommended 23 alternatives but never named nickscamara/open-deep-research. This is the gap to close.

    Show full AI answer
  • CATEGORY QUERY
    What frameworks are best for AI-powered research applications with real-time web data and user authentication?
    you: not recommended
    AI recommended (in order):
    1. Django
    2. Django REST Framework
    3. Django Channels
    4. Next.js
    5. Socket.IO
    6. Node.js
    7. Express
    8. Python
    9. FastAPI
    10. NextAuth.js
    11. Auth0
    12. Firebase Authentication
    13. React
    14. Vue.js
    15. Angular
    16. Ruby on Rails
    17. Action Cable
    18. Devise
    19. Phoenix
    20. Elixir
    21. Phoenix LiveView
    22. Pow
    23. Guardian

    AI recommended 23 alternatives but never named nickscamara/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 nickscamara/open-deep-research?
    pass
    AI named nickscamara/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 nickscamara/open-deep-research in production, what risks or prerequisites should they evaluate first?
    pass
    AI named nickscamara/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 nickscamara/open-deep-research solve, and who is the primary audience?
    pass
    AI did not name nickscamara/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?

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nickscamara/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