Working on large enterprise websites is a different challenge compared to smaller sites because there are usually hundreds or thousands of pages, multiple teams involved, and fixes take longer to go through approvals and development cycles. So prioritisation becomes really important.
The first thing I always do is a full technical audit. Tools like Screaming Frog, Semrush, and Google Search Console together give a clear picture of everything that needs fixing. But the key is not treating every issue equally.
Indexing and crawlability issues come first. If Google can't properly crawl or index your pages, nothing else matters. Fixing blocked pages, incorrect robots.txt rules, noindex tags on important pages, and crawl errors is always the starting point because these directly impact whether your content even shows up in search.
Site speed and Core Web Vitals come next. Enterprise sites tend to have a lot of legacy code, heavy scripts, and unoptimised images that slow everything down. These affect both rankings and user experience so they're high priority, especially now that Google weighs Core Web Vitals as a ranking factor.
Duplicate content and canonicalisation issues are very common on large sites. Multiple URLs serving the same content confuses Google and splits your ranking signals. Fixing canonical tags and consolidating duplicate pages is something I prioritise early because it directly impacts how authority flows across the site.
Broken links and redirect chains come after that. Large sites accumulate these over time especially after redesigns or migrations. Long redirect chains slow down crawling and dilute link equity so cleaning these up is worth doing before moving to other fixes.
Structured data and schema markup I treat as a separate workstream. It doesn't need to block other fixes and can be rolled out gradually across page types. But for enterprise sites it has a big impact on AI search visibility and rich results so I always make sure it's on the roadmap.
The most important thing I've learned on enterprise projects is to tie every fix to business impact. Development resources are limited and competing with other teams for priority. When I can show that fixing a specific issue affects pages that drive the most revenue or leads, it's much easier to get it moved up in the development queue.