RRepoGEO

REPOGEO REPORT · LITE

vakra-dev/reader

Default branch main · commit fbf5a54b · scanned 6/7/2026, 8:46:29 PM

GitHub: 531 stars · 38 forks

AI VISIBILITY SCORE
40 /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
3 / 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 vakra-dev/reader, 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
    Add explicit disambiguation in README to counter RSS reader miscategorization

    Why:

    CURRENT
    The current README starts with 'Open source web infrastructure for AI.'
    COPY-PASTE FIX
    Add a sentence like: 'Reader is *not* an RSS reader or content consumption tool; it is a robust web infrastructure for AI agents, designed for scraping, crawling, and automating the web at scale.' directly after the main H1 or initial description.
  • mediumreadme#2
    Integrate competitor context and specific use cases into README problem statement

    Why:

    CURRENT
    Building agents that need web access is frustrating. You piece together Puppeteer, add stealth plugins, fight Cloudflare, manage proxies and it still breaks in production.
    COPY-PASTE FIX
    In the 'The Problem' section, expand on how Reader directly addresses the limitations of existing solutions like Puppeteer, Playwright, or Selenium when building AI agents that require reliable web access, specifically mentioning challenges with anti-bot defenses (Cloudflare, Turnstile), TLS fingerprinting, and proxy infrastructure.
  • lowabout#3
    Refine GitHub repository description for clearer AI agent focus

    Why:

    CURRENT
    Open source web infrastructure for AI. Scrape, crawl, and automate the web, clean markdown, browser sessions, ready for your agents.
    COPY-PASTE FIX
    Robust open-source web infrastructure for AI agents. Scrape, crawl, and automate the web at scale, with built-in anti-bot bypass, clean markdown, and managed browser sessions.

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 vakra-dev/reader
Avg rank
Lower is better. #1 = top recommendation.
Share of voice
0%
Of all named tools, what % are you?
Top rival
SeleniumHQ/selenium
Recommended in 3 of 2 queries
COMPETITOR LEADERBOARD
  1. SeleniumHQ/selenium · recommended 3×
  2. microsoft/playwright · recommended 3×
  3. puppeteer/puppeteer · recommended 2×
  4. berstend/puppeteer-extra · recommended 1×
  5. 2Captcha · recommended 1×
  • CATEGORY QUERY
    How to reliably scrape dynamic websites for AI training, bypassing common anti-bot defenses?
    you: not recommended
    AI recommended (in order):
    1. Puppeteer (puppeteer/puppeteer)
    2. puppeteer-extra-plugin-stealth (berstend/puppeteer-extra)
    3. 2Captcha
    4. Anti-Captcha
    5. Selenium (SeleniumHQ/selenium)
    6. selenium-stealth (kaliiii-gh/selenium-stealth)
    7. Playwright (microsoft/playwright)
    8. Scrapy (scrapy/scrapy)
    9. Scrapy-Splash (scrapy-plugins/scrapy-splash)
    10. Splash (scrapinghub/splash)
    11. Scrapy-Playwright (scrapy-plugins/scrapy-playwright)
    12. Scrapy-Selenium (scrapy-plugins/scrapy-selenium)
    13. Zyte API
    14. Bright Data
    15. Oxylabs
    16. Smartproxy
    17. Apify SDK (apify/apify-sdk-js)
    18. hCaptcha Enterprise

    AI recommended 18 alternatives but never named vakra-dev/reader. This is the gap to close.

    Show full AI answer
  • CATEGORY QUERY
    What open-source web infrastructure helps manage headless browsers for large-scale AI data extraction?
    you: not recommended
    AI recommended (in order):
    1. Playwright (microsoft/playwright)
    2. Playwright Test (microsoft/playwright)
    3. Docker
    4. Kubernetes (kubernetes/kubernetes)
    5. Selenium Grid (SeleniumHQ/selenium)
    6. Selenium WebDriver (SeleniumHQ/selenium)
    7. ChromeDriver
    8. GeckoDriver (mozilla/geckodriver)
    9. Puppeteer (puppeteer/puppeteer)
    10. Browserless (browserless/browserless)
    11. Headless Chrome
    12. Headless Firefox

    AI recommended 12 alternatives but never named vakra-dev/reader. 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 vakra-dev/reader?
    pass
    AI named vakra-dev/reader explicitly

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

  • If a team adopts vakra-dev/reader in production, what risks or prerequisites should they evaluate first?
    pass
    AI named vakra-dev/reader 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 vakra-dev/reader solve, and who is the primary audience?
    pass
    AI named vakra-dev/reader explicitly

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

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vakra-dev/reader — 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