Concise answer
An SEO-friendly redesign starts before development with a complete URL and content inventory. Every valuable legacy page needs an intentional destination, important content and metadata must be preserved or improved, and redirects, canonicals, internal links, indexability, analytics, and forms need validation before and after launch.
Build an evidence baseline before changing URLs
A crawl shows what exists, but it does not show which pages attract qualified traffic, links, enquiries, or branded demand. Search Console, analytics, backlink data, paid-search queries, and sales feedback help identify what must be protected.
Without that baseline, teams can accidentally remove a modest-looking page that performs an important acquisition or navigation role.
Give every legacy URL an intentional outcome
A redirect map should connect each old URL to the closest useful new destination. Redirecting every removed page to the homepage weakens relevance and creates a poor user experience.
- Keep high-value pages when their intent remains useful.
- Consolidate overlapping content only when the destination fully answers the old intent.
- Use one-hop permanent redirects and avoid chains.
- Preserve useful query parameters and remove obsolete tracking carefully.
Validate the technical signals as one system
Canonical URLs, sitemap entries, internal links, structured data, Open Graph URLs, robots directives, status codes, and redirects should all point to the same preferred production URLs.
Preview deployments should be excluded from indexing without accidentally blocking production. Sitemap modification dates should reflect actual content changes rather than the latest build time.
Monitor the migration after launch
A successful deployment is not proof of a successful migration. Teams should monitor redirect hits, unexpected 404s, crawl behaviour, canonical selection, index coverage, rankings, conversions, and form delivery during the stabilisation period.
No migration can guarantee unchanged rankings. The objective is to reduce avoidable loss, preserve intent, and respond quickly when real data shows a problem.