seo-chargeback-codes — programmatic SEO with funnel to chargeback-drafter

50+ pages, one per chargeback reason code (Visa / MC / Amex / Discover). Each page targets a specific search ("4855 chargeback", "10.4 fraud reason code", etc) and funnels traffic to our chargeback-drafter product ($99-499 per dispute).

Why this works

• Merchants experiencing a chargeback search the exact reason code to understand what hit them
• Existing top-ranked pages (Stripe blog, Chargebacks911) are generic; ours go specific per code with win-rate data and a tool
• Each visitor is high-intent buyer (just got disputed for $X; ready to spend $99 to fight back)

Per-page structure

# Reason Code XXXX: <Description>
## What this code means
## What you (the merchant) see
## What the customer claims
## Industry win rate
## Evidence you need
## How to draft the rebuttal (link to chargeback-drafter $99)
## Related codes

Generation

scripts/gen_pages.py runs Qwen against the codes registry (data/codes.yaml) and emits one MDX file per code into pages/<code>/. Output is a Next.js static site deployed to Vercel free tier.

Monetization

• Direct CTA on every page: "Need a rebuttal letter? Buy now — $99"
• Trail of breadcrumbs links to the openclaw-revenue.vercel.app product page
• Mediavine ads after 50K monthly pageviews
• Email-list build via "Get the chargeback-evidence checklist" (lead-gen for the SaaS upsell)

Niche scaling

Same template applies to:

• IRS notice codes (CP series — every notice code as one page)
• ICD-10 codes (medical billing, but huge volume)
• Stripe error codes
• AWS service quotas
• HS tariff codes (international shipping)
• USPTO trademark statuses
• PCI DSS controls