Guides on GEO, AI search, overseas SaaS, business automation, and marketing. Filter by category as well.
A practical look at Perplexity—the AI search product that’s grown quickly overseas: what it does, how it differs from ChatGPT, how well it works in Japanese, and which tasks it’s good (and not good) for—without overclaiming.
Claude Tag lets you @Claude in Slack and hand off shared team work. This guide covers Team/Enterprise beta scope, agent identity, how it differs from Cowork/Code, and what to check before rollout—based on official docs.
Japanese language settings, pricing, members vs. guests, teamspaces, and Notion AI—plus a practical first-month path for wiki and meeting-note rollouts, grounded in Notion’s official docs.
As generative AI search spreads, here’s a priority order for measurement and publishing foundations that small marketing teams should lock in first—plus a pre-purchase checklist.
An independent review of Linear’s features and pricing, with fit checks and a one-week validation checklist for development teams.
Turn project knowledge scattered across chat and people’s heads into something anyone can follow. How PMOs design Jira as the center of work-item context—fields, JQL, dashboards, and automation.
Move Claude beyond Q&A chat into handing off deliverables and tool actions. This guide covers when to use Chat, Cowork, Code, and Tag—and a practical request → research → deliverable → human review workflow.
Claude Cowork is an agent surface for handing off work through finished deliverables—not just chat. This guide covers how it differs from Chat, Desktop vs. web/mobile beta, how to write your first request, and what to know about scheduled tasks and permissions—based on official docs.
A practical on-ramp beyond chat and voice: how to choose among current plugins, custom GPTs, and scheduled tasks—plus what to check before connecting company data.
Before you look at no-code automation with Zapier or Make, sort out permissions, failure handling, and how to read official integration and pricing details.
GEO (Generative Engine Optimization) is the practice of making your brand and content more likely to show up in answers from generative AI tools like ChatGPT and Perplexity. This guide covers how it differs from SEO, where the two overlap, and what you can realistically do today—plus the limits.
What it takes for generative AI like ChatGPT to work with your site’s information—crawlability, indexing, site structure, trustworthiness, and clear brand identity. We’re explicit about what can’t be guaranteed.
Why “SEO is dead” is overstated—based on how search behavior is changing and how AI systems actually work. Then a practical approach: keep SEO as the foundation, layer GEO on top, and set priorities by company size.
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