RRepoGEO

REPOGEO REPORT · LITE

tinyfish-io/tinyfish-cookbook

Default branch main · commit dc2dbc76 · scanned 5/14/2026, 9:47:55 AM

GitHub: 1,933 stars · 290 forks

AI VISIBILITY SCORE
33 /100
Critical
Category recall
0 / 2
Not recommended in any query
Rule findings
2 pass · 0 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 tinyfish-io/tinyfish-cookbook, 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 core value proposition for AI agents in README

    Why:

    CURRENT
    Welcome to the **TinyFish Cookbook!** A growing collection of recipes, demos, and automations built on TinyFish — the web layer for AI agents.
    COPY-PASTE FIX
    Add the following sentence as the very first paragraph after the main H1 title and any initial badges/links: 'This cookbook provides open-source examples, recipes, and automations for building AI agents that reliably search the live web, read pages cleanly, and automate multi-step browser flows using the TinyFish web agent platform.'
  • mediumabout#2
    Refine the repository description to emphasize AI agent capabilities

    Why:

    CURRENT
    A collection of sample apps and recipes built with the TinyFish web agent. Open-source examples for you to learn & build!
    COPY-PASTE FIX
    Open-source examples and recipes for building AI agents that reliably search the live web, read pages cleanly, and automate multi-step browser flows using the TinyFish web agent platform.
  • lowcomparison#3
    Add a comparison section to the README

    Why:

    COPY-PASTE FIX
    Add a new section to the README titled '## TinyFish Cookbook vs. General Web Automation Tools'. In this section, explain that while tools like Playwright or Selenium provide low-level browser control, TinyFish offers a higher-level, agent-centric API specifically designed for LLMs to interact with the web, focusing on structured output and managed browser flows rather than raw DOM manipulation. Emphasize that this cookbook provides examples tailored to this agent-first approach.

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 tinyfish-io/tinyfish-cookbook
Avg rank
—
Lower is better. #1 = top recommendation.
Share of voice
0%
Of all named tools, what % are you?
Top rival
Playwright
Recommended in 2 of 2 queries
COMPETITOR LEADERBOARD
  1. Playwright · recommended 2×
  2. Selenium · recommended 2×
  3. SerpApi · recommended 1×
  4. Beautiful Soup · recommended 1×
  5. Requests · recommended 1×
  • CATEGORY QUERY
    How can my AI agent reliably search the live web and automate browser flows?
    you: not recommended
    AI recommended (in order):
    1. SerpApi
    2. Playwright
    3. Selenium
    4. Beautiful Soup
    5. Requests

    AI recommended 5 alternatives but never named tinyfish-io/tinyfish-cookbook. This is the gap to close.

    Show full AI answer
  • CATEGORY QUERY
    Where can I find open-source examples for building web automation with AI agents?
    you: not recommended
    AI recommended (in order):
    1. Playwright
    2. GPT-4 Vision
    3. LlamaIndex
    4. LangChain
    5. PlaywrightBrowser
    6. SeleniumBrowser
    7. AutoGPT (Significant-Gravitas/AutoGPT)
    8. BabyAGI (yoheinakajima/babyagi)
    9. Selenium
    10. OpenCV
    11. Puppeteer

    AI recommended 11 alternatives but never named tinyfish-io/tinyfish-cookbook. This is the gap to close.

    Show full AI answer

Objective checks

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

  • Metadata completeness
    pass

  • 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 tinyfish-io/tinyfish-cookbook?
    pass
    AI named tinyfish-io/tinyfish-cookbook explicitly

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

  • If a team adopts tinyfish-io/tinyfish-cookbook in production, what risks or prerequisites should they evaluate first?
    pass
    AI named tinyfish-io/tinyfish-cookbook 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 tinyfish-io/tinyfish-cookbook solve, and who is the primary audience?
    pass
    AI did not name tinyfish-io/tinyfish-cookbook — 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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  • Deep reports10 / month
  • Brand-free category queries5 vs 2 in Lite
  • Prioritized action items8 vs 3 in Lite