REPOGEO REPORT · LITE
droidrun/mobilerun
Default branch main · commit bbb4048a · scanned 5/23/2026, 10:22:03 PM
GitHub: 8,395 stars · 875 forks
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.
2 ready scans. Expand the table below for newest-first rows (10 per page, paginated).
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 droidrun/mobilerun, 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.
- highreadme#1Reposition the README's core value proposition as an LLM agent framework
Why:
CURRENT<p align="center"> <strong>Mobilerun is an open-source framework for controlling Android and iOS devices with LLM agents.</strong><br> It gives agents mobile-native tools to inspect UI state, understand screenshots, tap, swipe, type, plan multi-step workflows, and return results through a CLI or Python API. </p>
COPY-PASTE FIX# Mobilerun: An LLM Agent Framework for Android and iOS Automation Mobilerun is an open-source framework designed to empower Large Language Model (LLM) agents to control Android and iOS devices with natural language commands. It provides agents with mobile-native tools to inspect UI state, understand screenshots, tap, swipe, type, plan multi-step workflows, and return results through a CLI or Python API.
- mediumcomparison#2Add a 'Comparison to Alternatives' section in the README
Why:
COPY-PASTE FIX## Comparison to Alternatives Unlike traditional mobile automation tools such as Appium, UI Automator, or XCUITest, Mobilerun is specifically built as an **LLM agent framework**. While these tools provide programmatic control, Mobilerun focuses on enabling AI agents to understand and interact with mobile devices using natural language and high-level reasoning. Compared to general-purpose LLMs like GPT-4o or GPT-4V, Mobilerun provides specialized, mobile-native tools and a structured environment for agents to execute complex, multi-step workflows directly on Android and iOS devices, bridging the gap between AI intelligence and mobile interaction.
- lowabout#3Expand the 'About' description with more keywords
Why:
CURRENTAutomate your mobile devices with natural language commands - an LLM agnostic mobile Agent 🤖
COPY-PASTE FIXAutomate Android and iOS mobile devices with natural language commands using an LLM-agnostic agent framework. Empower your AI agents to interact with mobile apps, inspect UI, and execute complex workflows for testing, research, and more. 🤖
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.
- Appium · recommended 2×
- UI Automator · recommended 2×
- OpenAI GPT-4o · recommended 1×
- GPT-4V · recommended 1×
- XCUITest · recommended 1×
- CATEGORY QUERYHow can I automate mobile app interactions using a large language model agent?you: not recommendedAI recommended (in order):
- Appium
- OpenAI GPT-4o
- GPT-4V
- UI Automator
- XCUITest
- Adb
- Google Gemini
- Microsoft Playwright
- YOLO
- DETR
- GPT-3.5
- Llama 2
AI recommended 12 alternatives but never named droidrun/mobilerun. This is the gap to close.
Show full AI answer
- CATEGORY QUERYNeed a framework to control Android devices with natural language commands for testing.you: not recommendedAI recommended (in order):
- Appium
- UI Automator
- Robot Framework
- Espresso
- TestProject.io
AI recommended 5 alternatives but never named droidrun/mobilerun. This is the gap to close.
Show full AI answer
Objective checks
Rule-based audits of metadata signals AI engines weight most.
- Metadata completenesspass
- README presencepass
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 droidrun/mobilerun?passAI named droidrun/mobilerun explicitly
AI answers can be confidently wrong. Read for accuracy: does it match your actual tech stack, audience, and differentiator?
- If a team adopts droidrun/mobilerun in production, what risks or prerequisites should they evaluate first?passAI named droidrun/mobilerun 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 droidrun/mobilerun solve, and who is the primary audience?passAI named droidrun/mobilerun 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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droidrun/mobilerun — 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