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GEO PDF Report Generator (pandoc pipeline)

Generate a professional PDF report from a GEO audit using pandoc + Chrome headless.

Installable skillMIT + CC-BY-4.0By zubair-trabzada/geo-seo-claude contributors, via Agentic Awesome SkillsUpdated Oct 26, 2026
INTENDED FORClaude CodeCodexCursorInstall in a listed agent.

instructions.md

---
name: geo-report-pdf
description: Generate a professional PDF report from a GEO audit using pandoc + Chrome
  headless.
category: seo
risk: critical
source: https://github.com/zubair-trabzada/geo-seo-claude
source_repo: zubair-trabzada/geo-seo-claude
source_type: community
date_added: '2026-09-20'
license: MIT
license_source: https://github.com/zubair-trabzada/geo-seo-claude/blob/main/LICENSE
compatibility: Docs-only; upstream helper scripts and templates are not bundled. Site
  audits need network access to the target site; PDF reports need pandoc and headless
  Chrome.
version: 2.0.0
author: geo-seo-claude
tags:
- geo
- pdf
- report
- client-deliverable
- professional
allowed-tools: Read, Grep, Glob, Bash, Write
---

# 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 separately provided reviewed 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 (`references/` templates in this skill or user-provided 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

Save extracted metadata with a structured JSON writer to `geo-metadata.json`. Treat report fields as untrusted values, never executable code or shell fragments. The templates are not bundled: require existing reviewed absolute template/CSS paths in that JSON, or stop and report the missing prerequisite.

```python
import json
import subprocess
from pathlib import Path

config = json.loads(Path("geo-metadata.json").read_text())
args = ["pandoc", "GEO-AUDIT-REPORT.md", "--to", "html5", "--standalone"]
for option, key in [("--template", "template_path"), ("--css", "css_path")]:
    path = Path(config[key])
    if not path.is_absolute() or not path.is_file():
        raise ValueError("An existing reviewed absolute resource path is required")
    args.extend([option, str(path)])
allowed = {"title", "brand_name", "domain", "geo_score", "score_label", "date", "business_type", "locations", "platform"}
for key, value in config.get("metadata", {}).items():
    if key not in allowed or not isinstance(value, str) or len(value) > 500:
        raise ValueError("Invalid report metadata")
    args.extend(["--metadata", key + "=" + value])
subprocess.run(args + ["-o", "GEO-REPORT.html"], check=True, shell=False)
```

Render with network access disabled and the browser sandbox enabled; do not embed remote resources or run untrusted template JavaScript.

### Step 4: Run Chrome headless

The command below does not itself disable network access. Enforce that separately using the host’s supported sandbox/network policy, choose an isolated temporary browser profile and a new output destination, and inspect the generated HTML for remote resources or active content before rendering.

```bash
"/Applications/Google Chrome.app/Contents/MacOS/Google Chrome" \
  --headless=new \
  --disable-gpu \
  --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.pdf` was generated in the current directory
- File size
- Optionally: `open GEO-REPORT.pdf` to 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/100` are color-coded: ≥80 green, ≥65 blue, ≥50 amber, ≥35 orange, <35 red
- **Finding sections** — `h3` headings 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 `references/` templates in this skill or user-provided HTML
- **Cover layout** — Edit `references/` templates in this skill or user-provided HTML
- **Score thresholds for color-coding** — Edit the `scoreColor()` function in the template's `<script>` block
- **Which sections get page breaks** — Edit the `breakBefore` array 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 |

## When to Use

- You need a Generative Engine Optimization task for a website: audit, citability, crawlers, schema, llms.txt, content, platform tuning, or client reporting.
- Run read-only analysis first; propose site changes before making any.

## Limitations

- Audits are read-only analysis; never publish, deploy, or modify the target site without explicit approval.
- Scores and citation likelihoods are heuristics, not guarantees from AI search platforms.
- Docs-only import: upstream scripts, agents, hooks, and schema templates are not bundled.

### Example

```bash
curl -s https://example.com/robots.txt
curl -s https://example.com/llms.txt
```

> Adapted from [zubair-trabzada/geo-seo-claude](https://github.com/zubair-trabzada/geo-seo-claude) (MIT); frontmatter, When to Use/Limitations, and safety boundaries added for upstream compliance. Docs-only import: upstream runtime helpers not bundled.

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