Propel-Lab LLC · Fukuoka, Japan
Engineering the Next Generation
of Business Models with AI
An AI/LLM technology studio building eight business lines — LLMO consulting, education, marketing automation, agent consulting, AI-driven media and e-commerce, and creative.
About Propel-Lab
Propel-Lab LLC is an AI/LLM technology company founded in 2025, headquartered in Fukuoka, Japan. We leverage AI and Large Language Models to engineer next-generation business models.
Vision
Reinvent how companies operate through AI-native systems.
Company Info
- Company
- Propel-Lab LLC
- Location
- Fukuoka, Japan
- Founded
- April 2025
- Founder
- Ken Imoto
- Focus
- AI / LLM / Agent Engineering
LLMO — LLM Optimization
As ChatGPT, Claude, Gemini, and Perplexity replace the search box, being found means being cited by language models — not just ranked by Google.
Propel-Lab is an LLMO company in Japan. We help businesses become discoverable and quotable by AI search through three concrete layers:
structured data (JSON-LD), an llms.txt manifest, and clean Markdown delivery of the same content humans read.
This site is our reference implementation. Every page ships machine-readable Markdown at /company.md and /products.md, a full /llms.txt, and an /ai/ directory built for language models to read directly.
What LLMO covers
- ▸ Structured data and entity modeling so models understand who you are
- ▸ llms.txt and Markdown endpoints for direct machine consumption
- ▸ Content written to be quoted, not just to rank
- ▸ Measuring citations and referrals from AI search engines
See the LLMO book for the full method.
Services
LLMO Audit & Implementation Support
LLM Optimization Consulting
We measure how often your site is cited across Perplexity, Claude, Gemini, and ChatGPT, then deliver a prioritized P0/P1/P2 roadmap — fixed scope, upfront pricing, no sales meetings. From the free open-source llmo-checker to audit reports and monthly implementation support. See Work With Us.
LearningMate
Educational Content & Publishing
Planning, producing, and selling educational content focused on LLM technologies. Published books on Claude Code, Context Engineering, and LLMO in both Japanese and English via Kindle and Zenn.
AI-Loop
Marketing Automation
SNS automation and content marketing support powered by LLM agents. Data-driven content strategy, cross-platform performance analytics, and automated post generation.
AutoCrew
Business Automation Consulting
Multi-agent system architecture and business process automation using LLMs. Leveraging MCP (Model Context Protocol) and CLI Skills for advanced agent design and workflow optimization.
KaoriQ
AI-Driven E-Commerce Automation
Autonomous e-commerce operations powered by LLM agents — automated content generation, SEO/LLMO optimization, and product curation. Currently running kaoriq.com, a data-driven fragrance platform with personality-based recommendations and daily bilingual content publishing.
mypcrig
AI-Driven Content Media
Autonomous PC-selection media powered by LLM agents — use-case guides, real benchmark data, and search-intent-driven article generation, fully automated. Currently running mypcrig.com, with GA4 + Search Console feedback loop and daily auto-publishing for AI developers, gamers, and creators.
legacydram
AI-Driven Curation Media
Autonomous whisky curation media powered by LLM agents — distilled through an engineer's lens, every bottle read as somebody's commit history. Currently running legacydram.com, with bilingual EN/JA daily publishing and a people-first editorial policy (no listicles, no sponsored posts).
Yureru
Music & Creative
A music project that captures fleeting emotional moments through music, words, and visuals. Featuring virtual singers Yumei and Silk Reign — 409+ tracks published, 3,815+ YouTube subscribers.
Founder
Ken Imoto
AI Systems Engineer
Propel-Lab was founded by Ken Imoto, an engineer exploring how AI, automation, and agent-based systems can redesign modern business operations.
His work focuses on building AI-native organizations powered by LLMs, automation, and distributed agents. With 8+ years of experience spanning Android/Web development, edge computing, and robotics, he now leads research in AI agent design, context engineering, and LLM Optimization (LLMO).
- ▸ Former robotics engineer: Pepper × SLAM (Aldebaran co-development / SoftBank live deployment)
- ▸ Managed 5 parallel projects with AWS/Azure/Firebase simultaneously
- ▸ Achieved 300% productivity boost in TypeScript dev via LLM × Context Engineering
- ▸ Kindle author: 14 books (Practical Claude Code / LLMO — bilingual JP/EN)
Publications
Practical Claude Code
Context Engineering for Modern Development
How Claude Code's design philosophy and CLAUDE.md patterns achieved a 300% productivity boost in TypeScript development.
LLMO — Three Paths for AI to Discover Your Content
LLM Optimization Guide
A practical guide to LLMO: structured data, llms.txt, and Markdown delivery — making your content discoverable by ChatGPT, Claude, and Gemini.
MCP Security in Practice
Complete Guide for Production Deployment
Security best practices for deploying Model Context Protocol in production environments.
Claude Code QuickStart
Get Started Fast
A free quick-start guide to Claude Code for developers looking to integrate AI into their workflow.
Contact
Interested in our services? Have questions about AI agent design, LLMO, or our publications?
We'd love to hear from you.