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 (e.g. "Poor", "Fair", "Good")
date	**Audit Date:** line
business_type	**Business Type:** line
locations	**Locations:** line
platform	**CMS:** line

Step 3: Run pandoc