RRepoGEO

REPOGEO REPORT · LITE

Integuru-AI/Integuru

Default branch main · commit b063940a · scanned 5/28/2026, 1:23:26 PM

GitHub: 4,603 stars · 358 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 Integuru-AI/Integuru, 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 H1 and opening paragraph to clearly state the repo's core function

    Why:

    CURRENT
    # Integuru v0

This repo contains the earliest version of the Integuru agent we released publicly. It shows the original approach: using browser network requests to generate runnable integration code for platforms without official APIs.
    COPY-PASTE FIX
    # Integuru v0: The AI Agent for Permissionless Integrations

This repository showcases Integuru v0, the foundational open-source AI agent designed to build permissionless integrations by reverse engineering platforms' internal APIs. It demonstrates the original approach of using browser network requests to automatically generate runnable integration code for platforms lacking official APIs.
  • mediumreadme#2
    Add a 'What makes Integuru v0 unique?' section to highlight its differentiators

    Why:

    COPY-PASTE FIX
    ## What makes Integuru v0 unique?

Unlike traditional browser automation tools (e.g., Playwright, Selenium) or API sniffers (e.g., Postman, Fiddler), Integuru v0 is an AI agent that *automatically generates executable Python code* for integrations by intelligently analyzing browser network traffic and reverse-engineering internal APIs. It goes beyond mere recording or inspection to create functional, permissionless integrations.
  • lowreadme#3
    Clarify the purpose and ongoing relevance of the v0 repository

    Why:

    CURRENT
    We've kept building since then. The newest version of Integuru is available at www.integuru.com.
    COPY-PASTE FIX
    While Integuru has evolved significantly since this initial release (with the newest version available at www.integuru.com), this v0 repository remains a valuable open-source reference for understanding the foundational techniques of AI-driven internal API reverse engineering and integration code generation. It serves as a proof-of-concept for our core methodology.

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 Integuru-AI/Integuru
Avg rank
—
Lower is better. #1 = top recommendation.
Share of voice
0%
Of all named tools, what % are you?
Top rival
microsoft/playwright
Recommended in 1 of 2 queries
COMPETITOR LEADERBOARD
  1. microsoft/playwright · recommended 1×
  2. OpenAI GPT-4/GPT-3.5 Turbo · recommended 1×
  3. Claude · recommended 1×
  4. SeleniumHQ/selenium · recommended 1×
  5. langchain-ai/langchain · recommended 1×
  • CATEGORY QUERY
    How to automate tasks on web platforms lacking public APIs using AI agents?
    you: not recommended
    AI recommended (in order):
    1. Playwright (microsoft/playwright)
    2. OpenAI GPT-4/GPT-3.5 Turbo
    3. Claude
    4. Selenium (SeleniumHQ/selenium)
    5. LangChain (langchain-ai/langchain)
    6. LlamaIndex (run-llama/llama_index)
    7. Puppeteer (puppeteer/puppeteer)
    8. Robocorp (robocorp/rpaframework)
    9. UiPath
    10. Automation Anywhere
    11. Tampermonkey
    12. Greasemonkey
    13. Autogen (microsoft/autogen)

    AI recommended 13 alternatives but never named Integuru-AI/Integuru. This is the gap to close.

    Show full AI answer
  • CATEGORY QUERY
    Tool to reverse engineer internal APIs and generate integration code from browser traffic?
    you: not recommended
    AI recommended (in order):
    1. Postman
    2. Insomnia (Kong/insomnia)
    3. Fiddler Everywhere
    4. Fiddler Classic
    5. mitmproxy (mitmproxy/mitmproxy)
    6. Chrome DevTools
    7. Firefox Developer Tools
    8. Paw

    AI recommended 8 alternatives but never named Integuru-AI/Integuru. 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 Integuru-AI/Integuru?
    pass
    AI named Integuru-AI/Integuru explicitly

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

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

    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