The SEO Council

Project Overview
A privacy-first diagnostic suite that evaluates web content through the mental models of leading SEO specialists. Select a persona — Lily Ray, Mark Williams-Cook, Kevin Indig, or Pedro Dias — paste any page’s HTML, and receive a weighted content audit scored across schema, meta analysis, author signals, crawl analysis, citation quality, freshness, and self-promotion density.
The entire inference layer runs locally in the browser via WebLLM and WebGPU. No data leaves the device. The parchment-toned design system frames the tool as a deliberate, institutional workspace — one part council chamber, one part field manual.
Materials & Infrastructure
- Role
- Creator & Developer
- Framework
- Astro 5
- Styling
- Vanilla CSS (Parchment Design System)
- Data
- WebLLM (Local via WebGPU)