RRepoGEO

REPOGEO REPORT · LITE

tinyfish-io/tinyfish-cookbook

Default branch main · commit eacd0a00 · scanned 6/24/2026, 10:03:18 PM

GitHub: 2,053 stars · 312 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)

3 ready scans. Expand the table below for newest-first rows (10 per page, paginated).

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 the README's opening to clarify its role for AI agents

    Why:

    CURRENT
    The current README excerpt starts with the title, then badges, then a pricing announcement, then '## About This Repository'.
    COPY-PASTE FIX
    Insert a new line right after the main title `# The TinyFish Cookbook` (and before any badges or pricing info): `A collection of practical, open-source examples and recipes for building AI agents with the TinyFish web layer.`
  • mediumtopics#2
    Add more specific topics to emphasize AI agent examples

    Why:

    CURRENT
    agent, agentic, ai, cookbook, examples, tinyfish, typescript, web-agents, web-automation
    COPY-PASTE FIX
    agent, agentic, ai, ai-agent-examples, agentic-workflows, cookbook, examples, tinyfish, typescript, web-agents, web-automation
  • lowcomparison#3
    Add a 'Comparison to other tools' section in the README

    Why:

    COPY-PASTE FIX
    Add a new section to the README, e.g., `## Comparison to other tools` explaining how TinyFish Cookbook differs from generic web scrapers (like Playwright, Selenium) by focusing on examples for AI agents and leveraging the TinyFish web layer. For example: "Unlike general-purpose web automation libraries such as Playwright or Selenium, the TinyFish Cookbook provides examples specifically tailored for AI agents to interact with the web via the TinyFish platform, focusing on agentic workflows rather than raw browser control."

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
Robocorp
Recommended in 2 of 2 queries
COMPETITOR LEADERBOARD
  1. Robocorp · recommended 2×
  2. Apify · recommended 2×
  3. microsoft/playwright · recommended 1×
  4. SeleniumHQ/selenium · recommended 1×
  5. puppeteer/puppeteer · recommended 1×
  • CATEGORY QUERY
    How can I build AI agents that interact with websites lacking direct APIs?
    you: not recommended
    AI recommended (in order):
    1. Playwright (microsoft/playwright)
    2. Selenium WebDriver (SeleniumHQ/selenium)
    3. Puppeteer (puppeteer/puppeteer)
    4. Beautiful Soup (crummy/BeautifulSoup)
    5. requests (psf/requests)
    6. LangChain (langchain-ai/langchain)
    7. Robocorp
    8. Robot Framework (robotframework/robotframework)
    9. Apify

    AI recommended 9 alternatives but never named tinyfish-io/tinyfish-cookbook. This is the gap to close.

    Show full AI answer
  • CATEGORY QUERY
    Looking for examples to create AI agents that perform multi-step browser automation flows.
    you: not recommended
    AI recommended (in order):
    1. Playwright
    2. LangChain
    3. LlamaIndex
    4. Puppeteer
    5. Selenium
    6. AutoGPT
    7. BabyAGI
    8. Browserless.io
    9. Apify
    10. Robocorp

    AI recommended 10 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 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?

  • 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 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?

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  • Brand-free category queries5 vs 2 in Lite
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tinyfish-io/tinyfish-cookbook — RepoGEO report