RRepoGEO

REPOGEO REPORT · LITE

instavm/clickclickclick

Default branch main · commit e4ce8f95 · scanned 6/9/2026, 7:27:04 PM

GitHub: 694 stars · 84 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)

2 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 instavm/clickclickclick, 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 paragraph to clarify its unique LLM-driven UI automation focus

    Why:

    CURRENT
    The current README starts with `## ClickClickClick ### A framework to enable autonomous android and computer use using any LLM (local or remote)` without an immediate strong introductory paragraph.
    COPY-PASTE FIX
    Add this text immediately after the H1/H2:
"ClickClickClick is not just an auto-clicker; it's a powerful framework for building AI agents that can autonomously control Android and desktop environments using any Large Language Model (LLM), local or remote. It bridges the gap between advanced LLM reasoning and practical UI automation, enabling complex, goal-driven interactions with any application."
  • mediumtopics#2
    Expand and refine GitHub Topics for better category matching

    Why:

    CURRENT
    agents, ai-agents-framework, android-automation, antrophic, computer-use, framework, gemini, generative-ai, molmo, ollama, openai, operator
    COPY-PASTE FIX
    agents, ai-agents-framework, android-automation, antrophic, computer-use, framework, gemini, generative-ai, molmo, ollama, openai, operator, llm-agents, ui-automation, desktop-automation, mobile-automation, ai-control, device-automation, human-computer-interaction-automation
  • mediumreadme#3
    Add a dedicated 'Why ClickClickClick?' or 'Comparison' section to the README

    Why:

    COPY-PASTE FIX
    Add a new section to the README:
"## Why ClickClickClick? (Differentiators)
Unlike generic UI automation tools (e.g., PyAutoGUI, Playwright) that require explicit scripting, ClickClickClick empowers Large Language Models (LLMs) to autonomously understand and interact with any Android or desktop UI based on high-level goals. It goes beyond pure AI agent frameworks (e.g., AutoGPT, BabyAGI) by providing the direct, visual interaction layer necessary for real-world device control, making it a unique solution for LLM-driven autonomous computer and mobile use."

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 instavm/clickclickclick
Avg rank
—
Lower is better. #1 = top recommendation.
Share of voice
0%
Of all named tools, what % are you?
Top rival
OpenAI GPT-4o
Recommended in 1 of 2 queries
COMPETITOR LEADERBOARD
  1. OpenAI GPT-4o · recommended 1×
  2. GPT-4 Turbo · recommended 1×
  3. AutoGPT · recommended 1×
  4. BabyAGI · recommended 1×
  5. AgentGPT · recommended 1×
  • CATEGORY QUERY
    How can I build an AI agent to autonomously control a computer or Android device?
    you: not recommended
    AI recommended (in order):
    1. OpenAI GPT-4o
    2. GPT-4 Turbo
    3. AutoGPT
    4. BabyAGI
    5. AgentGPT
    6. Selenium
    7. Playwright
    8. Appium
    9. PyAutoGUI
    10. SikuliX
    11. LangChain
    12. LlamaIndex
    13. Android Debug Bridge (ADB)

    AI recommended 13 alternatives but never named instavm/clickclickclick. This is the gap to close.

    Show full AI answer
  • CATEGORY QUERY
    What tools help an LLM interact with and automate tasks on a desktop or mobile UI?
    you: not recommended
    AI recommended (in order):
    1. Playwright (microsoft/playwright)
    2. Appium (appium/appium)
    3. Microsoft Power Automate Desktop
    4. PyAutoGUI (asweigart/pyautogui)
    5. SikuliX (SikuliX/SikuliX1)
    6. AutoIt
    7. Puppeteer (puppeteer/puppeteer)

    AI recommended 7 alternatives but never named instavm/clickclickclick. 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 instavm/clickclickclick?
    pass
    AI did not name instavm/clickclickclick — 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 instavm/clickclickclick in production, what risks or prerequisites should they evaluate first?
    pass
    AI named instavm/clickclickclick 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 instavm/clickclickclick solve, and who is the primary audience?
    pass
    AI named instavm/clickclickclick 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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instavm/clickclickclick — 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