Marketing & Sales · GitHub repo
SEO Machine
Claude Code workspace for research, drafting, and optimizing SEO blog content
SEO Machine is an open-source Claude Code configuration built by Castos founder Craig Hewitt to automate long-form SEO content production. It uses custom slash commands and context templates to run competitor analysis, perform keyword research, draft articles, and optimize content for search engines and AI answer engines.
What it's for
- Draft long-form SEO blog articles aligned with your brand guidelines
- Analyze competitor keyword gaps and search intent from the terminal
- Audit content for AI search optimization and direct answer formatting
- Repurpose long-form posts into content for Reddit, LinkedIn, and Quora
Features
- Preconfigured Claude Code commands including /research, /write, /rewrite, /optimize, and /repurpose
- Customizable context templates for brand voice, product features, and internal linking structures
- AI search optimization targeting Perplexity, ChatGPT, and Google AI Overviews
- Integration capabilities with Google Analytics 4, Search Console, and DataForSEO
- AI watermark and telltale phrase detection and removal scrubber
- Config-driven competitor and SERP analysis scripts
Pricing
Open source. Free (requires Anthropic API or Claude Code access)
Details
- Type
- GitHub repo
- Category
- Marketing & Sales
- Topic
- SEO Tools
- Open source
- Yes
- Platforms
- Command line
- For
- Founders, content marketers, and technical SEOs using Claude Code
- Alternative to
- Surfer SEO, Jasper, Frase
- Tags
- seo, content marketing, claude code, anthropic, blogging, geo
Why it was saved
- @coreyganim: Automates the full SEO article pipeline — keyword research, competitor analysis, and full article writing — with a single command; user just adds their own context files.
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