The Blog
Insights on agentic SEO, AI systems, and the AI shift in search and content. Written for AI makers.
Your brand might rank on Google and still be invisible to half your potential audience. ChatGPT, Perplexity, Claude, and Gemini are now search surfaces — and they don’t pull from the same places Google does. If you’re not checking whether AI platforms mention your brand, you’re optimizing blind. This article is part of the Agentic [...]
AI agents scored AI agents workflow (KD 10, 590 searches/mo) across 5 dimensions to surface it as a hidden gem. Here’s how agent reasoning beats sorting spreadsheets.
An agentic SEO pipeline uses Claude Code as the orchestrator, MCP servers as the data layer, and Airtable as the storage backend. Instead of switching between keyword tools, spreadsheets, and AI chat windows, a single system runs the full research loop — from brand analysis through SERP deep dives — in one session. This post [...]
You open a keyword tool, pull a list, sort by volume, export to a spreadsheet, and start writing content modeled on what already ranks. That’s been the workflow for a decade. Agentic SEO replaces most of it — not with a better keyword tool, but with an AI agent that reasons through your data and [...]
How an AI Operating System differs from Zapier, Make, and n8n. Where automation wins, where AIOS pulls ahead, and how they work together. For AI makers.
Build an AI operating system using just a project folder — markdown files for commands, agents, skills, and rules. No database, no deployment, no infrastructure.
How MCP servers connect an AI Operating System to Airtable, DataForSEO, Blotato, and other services. Real tool names, configuration, and the connector pattern.
Why Claude Code works as an AIOS orchestrator. File access, MCP tools, reasoning, and extensibility. The real tradeoffs between CLI and GUI approaches for AI systems.
How the five-layer AIOS architecture works. What goes in each layer, why the separation matters, and how they interact.
