[작성자:] DesignCopy

500 posts. 5 hubs. 25 topic clusters. Doing that manually? You’d need 10 writers, an SEO manager, and a project coordinator who doesn’t sleep. We do it with Claude Sonnet, 10 Python scripts, and n8n workflows — producing 12 SEO-optimized posts per week. This is the exact AI content pipeline SEO teams ask us about. Every step. Every script. Every quality gate that keeps output consistent at scale. No theory. No “it depends.” Just the system we run, the code we ship, and the results we measure. Want the Full System Blueprint?Read the pillar post: AI SEO Operation —...

Manual SEO audits are a time sink. A full technical and content audit on a 200-page site eats 10 to 20 hours of analyst time — clicking through Screaming Frog exports, cross-referencing Google Search Console, and building spreadsheets nobody reads twice. We built something different. Our SEO audit AI agents run as a swarm of 6 Python scripts, each handling one audit dimension. An orchestrator coordinates them. The full suite finishes in about 15 minutes. This post walks through every script in the toolkit: what it checks, what it outputs, and how to run the whole swarm on your...

Not all AI models are equal for SEO work. Some write beautifully but cost a fortune. Others are dirt cheap but can’t string together a compelling paragraph. We run 5 AI models for SEO across our production operation — handling keyword research, content drafts, technical audits, and link prospecting daily. The surprise? The cheapest model handles 75% of our tasks. The most expensive model (Opus at $15/1M tokens) runs less than 3% of our total workload. Here’s what each model does best, what it actually costs, and when you should use it. The Models We Tested Before breaking down...

OpenClaw’s 430,000+ lines of code make it the most feature-rich AI agent on the market — and the most complex. After ClawHavoc exposed 1,184 malicious skills in the marketplace and CVE-2026-25253 revealed a 1-click remote code execution flaw, plenty of teams started shopping for alternatives. We were one of them. We tested 7 platforms against our production SEO workload (500+ planned posts, daily agentic tasks, multi-model routing). Here’s what we found — with real numbers, not marketing copy. > Quick Navigation: Comparison Table | NanoClaw | ZeroClaw | Nanobot | memU | Kimi Claw | Jan.ai | AnythingLLM |...

Five Frameworks, One SEO Operation — Here’s What Actually Won We had a simple problem: orchestrate keyword research, content generation, quality scoring, and publishing across 500+ blog posts. Five AI agent frameworks SEO teams keep recommending. We tested all of them. CrewAI. AutoGen. LangGraph. Dify. n8n. After eight weeks of building, breaking, and rebuilding workflows, we went with n8n — not because it’s the most sophisticated, but because visual workflows beat code-first frameworks when your SEO team needs to ship content daily. No debating agents. No Python-only bottlenecks. Here’s the honest comparison, with real numbers and the tradeoffs nobody...