geo-report-pdflisted

# GEO PDF Report Generator (pandoc pipeline) ## Prerequisites - **pandoc** — `brew install pandoc` - **Google Chrome** — must be installed at `/Applications/Google Chrome.app/` No Python dependencies. No ReportLab. No JSON data wrangling. ## How It Works 1. Read `GEO-AUDIT-REPORT.md` in the current directory (created by `/geo audit`) 2. Extract cover metadata from the report (brand name, domain, GEO score, date, locations) 3. Run `pandoc` with the bundled CSS + HTML template to produce a self-contained `GEO-REPORT.html` 4. Run Chrome headless to print the HTML to `GEO-REPORT.pdf` The pandoc template (`~/.claude/skills/geo/templates/geo-report-template.html`) injects: - A full-bleed dark navy cover section with the GEO score badge - Per-section cover metadata (date, business type, locations, platform) - JavaScript that runs inside Chrome before printing to color-code score cells and severity-tag finding sections ## Workflow ### Step 1: Check for audit report Look for `GEO-AUDIT-REPORT.md` in the current directory. If absent, tell the user to run `/geo audit <url>` first. ### Step 2: Extract cover metadata from the report Read the top of `GEO-AUDIT-REPORT.md` and extract: | Field | Where to find it | |---|---| | `brand_name` | First H1 title (after "GEO Audit Report:") | | `domain` | Second bold line (e.g. `**Domain:** alexamediasolutions.com`) | | `geo_score` | Line matching `## Overall GEO Score: XX / 100` | | `score_label` | Word after the score on that same line