RRepoGEO

REPOGEO REPORT · LITE

firerpa/lamda

Default branch 9.0 · commit 84edc22f · scanned 5/12/2026, 9:16:32 PM

GitHub: 7,783 stars · 1,043 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 firerpa/lamda, 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 a clear disambiguation statement in the README's introduction

    Why:

    CURRENT
    <h6>An all-in-one next-gen Android automation framework blending robust on-device services with AI-ready agents and extensible tool-calling capabilities.</h6>
    COPY-PASTE FIX
    <h6>FIRERPA Android is a powerful, on-device Android automation framework. Unlike general-purpose libraries or machine learning tools, it's specifically designed for next-gen mobile automation, blending robust services with AI-ready agents and extensible tool-calling capabilities.</h6>
  • mediumreadme#2
    Add a 'Who is this for?' section to the README

    Why:

    COPY-PASTE FIX
    ### Who is FIRERPA Android for?

FIRERPA Android is ideal for developers, security researchers, and QA engineers who need robust, on-device automation for Android devices. This includes:
- **Mobile RPA & Test Automation:** Automating complex workflows, UI interactions, and system controls.
- **Mobile Security Analysis:** Dynamic analysis, reverse engineering, and penetration testing of Android applications and systems, leveraging built-in tools like Frida persistence and IDA debugging support.
- **Device Farms & Cloud Testing:** Managing and automating large fleets of Android devices for various tasks.
  • lowhomepage#3
    Update the repository homepage URL to point to project documentation

    Why:

    CURRENT
    https://device-farm.com/
    COPY-PASTE FIX
    https://device-farm.com/docs/en/

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 firerpa/lamda
Avg rank
—
Lower is better. #1 = top recommendation.
Share of voice
0%
Of all named tools, what % are you?
Top rival
Frida
Recommended in 1 of 2 queries
COMPETITOR LEADERBOARD
  1. Frida · recommended 1×
  2. objection · recommended 1×
  3. MobSF · recommended 1×
  4. Burp Suite Professional · recommended 1×
  5. Ghidra · recommended 1×
  • CATEGORY QUERY
    Seeking an advanced framework for on-device Android automation with AI capabilities.
    you: not recommended
    Show full AI answer
  • CATEGORY QUERY
    What are robust tools for Android mobile security analysis and dynamic reverse engineering?
    you: not recommended
    AI recommended (in order):
    1. Frida
    2. objection
    3. MobSF
    4. Burp Suite Professional
    5. Ghidra
    6. Android Studio
    7. ADB
    8. Wireshark

    AI recommended 8 alternatives but never named firerpa/lamda. 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 firerpa/lamda?
    pass
    AI named firerpa/lamda explicitly

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

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

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

Embed your GEO score

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MARKDOWN (README)
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HTML
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Pro

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firerpa/lamda — 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