Redirect Mapping with ChatGPT — Prompts & Guide
Create comprehensive redirect maps for site migrations using ChatGPT. Map old URLs to new URLs, handle pattern-based redirects, preserve link equity, and avoid common migration pitfalls.
How to Use ChatGPT for This
Export your old URL list and new URL structure. Feed both to ChatGPT and ask it to create 1:1 redirect mappings based on content similarity. For pattern-based redirects, describe the old and new URL structures and ask for regex redirect rules.
When to Use This Approach
During site migrations, domain changes, URL restructuring, CMS platform changes, or when consolidating multiple sites. Critical for preserving SEO equity during any URL change.
Pros & Cons
Pros
- ✓ Processes large URL lists quickly
- ✓ Identifies redirect chains and loops
- ✓ Generates proper redirect syntax for any platform
- ✓ Catches URL mapping errors before launch
Cons
- ✗ Cannot verify actual page content similarity
- ✗ May miss URL parameters and variations
- ✗ Cannot test redirects in practice
- ✗ Complex regex patterns need careful testing
Best Practices
- 1. Always export your complete URL list from Screaming Frog before starting
- 2. Test redirect rules on a staging environment first
- 3. Monitor 404s in GSC for 3 months post-migration
- 4. Use 308 (permanent) for SEO-preserving redirects
Copy-Paste Prompts
I'm migrating from WordPress to Next.js. Map these 50 old URLs to their new equivalents. Old pattern: /category/post-slug/ New pattern: /blog/post-slug. Create a redirect map in CSV format (old_url, new_url, redirect_type). Flag any that need manual review.
Generate Next.js redirect rules (next.config.js format) for these URL pattern changes: /blog/:year/:month/:slug → /blog/:slug, /products/category/:cat/:product → /shop/:product, /about-us → /about. Include permanent (308) redirects and handle edge cases.
Audit this redirect map for issues: [paste redirect CSV]. Check for: redirect chains (A→B→C), redirect loops, soft 404s (redirecting unrelated content), loss of query parameters, and missing high-traffic pages. Prioritize fixes by likely traffic impact.