Content Quality (E-E-A-T 2026)

Content Intelligence Workflow

Before content recommendations, run scripts/analyze-keywords.ts (local-first, no API key). Use it as first-pass evidence for keyword distribution, semantic breadth, local modifier placement, heading coverage, and stuffing risk.

bun run scripts/analyze-keywords.ts <url-or-path> --keyword "<primary keyword>" --synonyms "<syn1,syn2>" --locations "<city1,city2>" --format markdown

It returns density, n-grams, a 0-100 stuffing score, heading coverage, and per-location contextual mentions — purely local HTML parsing.

E-E-A-T Pillars

• Experience: First-hand knowledge signals (case studies, photos, "I tried...")
• Expertise: Author credentials, depth, technical accuracy
• Authoritativeness: Industry recognition, citations, backlinks
• Trustworthiness: Contact info, HTTPS, transparent ownership, fact-checking