GitHub - TheCraigHewitt/seomachine: A specialized Claude Code workspace for creating long-form, SEO-optimized blog content for any business. This system helps you research, write, analyze, and optimiz
3 hours ago
- #Content Creation
- #Marketing Tools
- #SEO Optimization
- SEO Machine is a Claude Code workspace designed for creating long-form, SEO-optimized blog content, offering specialized commands like /research, /write, /rewrite, /analyze-existing, /optimize, performance-review, publish-draft, article, priorities, and additional research and landing page commands.
- It includes specialized agents for content analysis, SEO optimization, meta element creation, internal linking, keyword mapping, editing, performance analysis, headline generation, CRO analysis, and landing page optimization, along with 26 marketing skills covering copywriting, CRO, strategy, channels, SEO, analytics, and more.
- The system provides advanced SEO analysis through modules for search intent detection, keyword density and clustering, content length comparison, readability scoring, and SEO quality rating, and integrates with data sources like Google Analytics 4, Google Search Console, and DataForSEO for real-time performance insights.
- SEO Machine is context-driven, using brand voice, style guides, SEO guidelines, and examples to guide content creation, and organizes workflows with structured directories for topics, research, drafts, and published content.
- Setup involves cloning a GitHub repository, installing Python dependencies, customizing context files (e.g., brand-voice.md, writing-examples.md), and quick-start instructions with examples.
- Key commands include /research for keyword research and competitor analysis, /write for creating SEO-optimized articles, /rewrite for updating content, /analyze-existing for evaluating existing posts, and /optimize for final SEO audits.
- Specialized agents automatically analyze content post-writing, covering comprehensive data-driven analysis, on-page SEO, meta creation, internal linking, keyword mapping, human-like editing, performance prioritization, headline generation, and CRO analysis.
- The system integrates with real-time data sources and includes Python modules for analysis, such as search intent analyzer, keyword analyzer, SEO quality rater, content length comparator, and readability scorer, plus landing page optimization modules.
- It features a structured directory organization with context files, data sources, configuration, WordPress integration, and content directories, emphasizing the importance of well-configured context files for content quality.
- Content requirements include minimum word counts, unique value, factual accuracy, keyword optimization, internal and external links, meta elements, proper hierarchy, readability standards, and structured flow with compelling introductions and CTAs.
- Best practices involve researching before writing, reviewing context, planning links, following briefs, integrating keywords naturally, adding value with examples, citing sources, reviewing agent output, and self-editing.
- Workflow examples are provided for creating new content and updating existing posts, along with tips for effective writing, common pitfalls to avoid, and maintenance routines for keeping the system updated.