GEO PDF report generator (pandoc pipeline)
Quick answer
- 01What is it?
- Generate a professional PDF report from a GEO audit using pandoc + Chrome headless. Converts GEO-AUDIT-REPORT. Its edge is a particular angle on search and SEO workflows, giving the agent tighter constraints than a plain GEO PDF report generator (pandoc pipeline) request.
- 02Inputs
- Context for search and SEO workflows: your goals, audience, constraints, and any source material the skill asks for.
- 03Output
- A ready-to-use result for search and SEO workflows: the analysis, copy, or recommendations the agent produces.
Add this skill
Install as a package
Installs this one skill package for your coding agent, including any supporting files that skill ships with — not every skill in the repository. Read the tutorial.
$ npx skills add zubair-trabzada/geo-seo-claude --skill geo-report-pdfUse in Profound
Copy this file into a new Profound Skill. That's it, nothing else to install.
Copy and create in ProfoundGEO 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
- Read
GEO-AUDIT-REPORT.mdin the current directory (created by/geo audit) - Extract cover metadata from the report (brand name, domain, GEO score, date, locations)
- Run
pandocwith the bundled CSS + HTML template to produce a self-containedGEO-REPORT.html - 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
pandoc GEO-AUDIT-REPORT.md \
--to html5 \
--standalone \
--embed-resources \
--template ~/.claude/skills/geo/templates/geo-report-template.html \
--css ~/.claude/skills/geo/templates/geo-report-style.css \
--metadata title="GEO Audit Report — <brand_name>" \
--metadata brand_name="<brand_name>" \
--metadata domain="<domain>" \
--metadata geo_score="<geo_score>" \
--metadata score_label="<score_label>" \
--metadata date="<date>" \
--metadata business_type="<business_type>" \
--metadata locations="<locations>" \
--metadata platform="<platform>" \
-o GEO-REPORT.html
Replace <field> placeholders with values extracted in Step 2. If a field is not found in the report, omit that --metadata flag — the template has sensible defaults.
Step 4: Run Chrome headless
"/Applications/Google Chrome.app/Contents/MacOS/Google Chrome" \
--headless=new \
--disable-gpu \
--no-sandbox \
--print-to-pdf="$(pwd)/GEO-REPORT.pdf" \
--print-to-pdf-no-header \
--no-pdf-header-footer \
--virtual-time-budget=5000 \
"file://$(pwd)/GEO-REPORT.html"
Step 5: Report completion
Tell the user:
GEO-REPORT.pdfwas generated in the current directory- File size
- Optionally:
open GEO-REPORT.pdfto preview it
What the PDF Contains
- Cover page — Dark navy gradient, brand name, domain, GEO score badge (colored by score), audit date, business type, locations, CMS platform
- Score tables — Cells containing
XX/100are color-coded: ≥80 green, ≥65 blue, ≥50 amber, ≥35 orange, <35 red - Finding sections —
h3headings containing "Critical / High / Medium / Low" get severity-colored left-border callout blocks (red / orange / yellow / green) - Section page breaks — Major sections (High Priority, 90-Day Roadmap, Component Score Summary, Generated Schema) break to new pages automatically
- Code blocks — JSON schema templates render with dark theme monospace styling
- Page footer — Brand name · GEO Audit · date + page numbers (via CSS
@page)
Customizing the Report
- Colors / typography — Edit
~/.claude/skills/geo/templates/geo-report-style.css - Cover layout — Edit
~/.claude/skills/geo/templates/geo-report-template.html - Score thresholds for color-coding — Edit the
scoreColor()function in the template's<script>block - Which sections get page breaks — Edit the
breakBeforearray in the template's<script>block
Troubleshooting
| Problem | Fix |
|---|---|
pandoc: command not found | brew install pandoc |
| Chrome not found | Check path: /Applications/Google Chrome.app/Contents/MacOS/Google Chrome |
| PDF is blank / empty | Increase --virtual-time-budget to 8000 |
| Cover metadata missing | Check GEO-AUDIT-REPORT.md has the standard header format |
| Fonts not loading | PDF is rendered offline; system fonts are used as fallback — this is expected |
Common questions
How do I install GEO PDF report generator (pandoc pipeline) in Cursor, Claude Code, or Codex?
Run npx skills add zubair-trabzada/geo-seo-claude --skill geo-report-pdf in the project where you want it, then ask your agent for the skill by name. The --skill flag installs only GEO PDF report generator (pandoc pipeline), not every skill in the repository.
Where does GEO PDF report generator (pandoc pipeline) come from and what license is it under?
GEO PDF report generator (pandoc pipeline) comes from the zubair-trabzada/geo-seo-claude repository on GitHub. That repository has 9.5K GitHub stars. The skill is published under the MIT license.
Prefer plain text? Read the GEO PDF report generator (pandoc pipeline) guide as markdown.
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