As search evolved with E-E-A-T and LLM-driven discovery, wwSEO needed a complete reinvention. eXelor transformed the plugin into an AI engine that creates metadata, semantic structures and Schema.org markup in real time.

Challenge

Legacy rule-based SEO plugins could not keep up with frequent algorithm changes and LLM-based indexing. Manual metadata creation was slow and error-prone for large sites and WooCommerce catalogs. The plugin required a redesign to produce contextual metadata and valid schema dynamically.

Solution

We redesigned wwSEO as an AI-first engine powered by OpenAI and Anthropic Claude. It analyzes WordPress posts, pages and products, extracts meaning and generates optimized titles, descriptions and JSON-LD markup. Editors can preview and approve metadata; the system supports API-key or credit modes for flexibility. Orchestration is handled by n8n with a Node.js backend and AWS + Cloudflare for scale and security.

Result

wwSEO now provides real-time metadata generation, automatic schema creation and adaptive search logic aligned with AI-driven discovery. Sites gained faster indexing, consistent metadata quality and automated SEO for WooCommerce and content-heavy sites. The plugin enables predictive SEO and semantic optimization while remaining easy to use for editors.

Technologies

AI Models: OpenAI GPT, Anthropic Claude CMS Integration: WordPress, Gutenberg, WooCommerce Automation: n8n, Node.js backend Metadata & Schema: JSON-LD, Schema.org Infrastructure: AWS Lambda, Cloudflare CDN Security: OAuth 2.0, encryption