At scale the problems change shape. A single faulty template outranks any content strategy, and the hardest part is usually not knowing what to do but getting it deployed through the people who own the code.
One fix applied to a template moves thousands of URLs, so templates come before pages.
Large sites waste crawl on parameters and filters, leaving real pages unvisited for weeks.
What Googlebot actually crawls, rather than what you assume it crawls.
Link equity distributed deliberately across a site too large to link by hand.
Rules and checks so the next release does not undo six months of work.
Findings translated into what developers, product owners and executives each need to hear.
Crawl, log files and Search Console data across the full site, plus how releases actually ship.
Ranked by revenue at stake and by how much engineering time each item costs.
Work packaged into tickets your development team can accept without translation.
Automated checks so regressions are caught in staging instead of by a traffic drop.
No invented testimonials anywhere on this site. Where results were not verified, we say so on the page.
Two months of local SEO for an Australian local business, measured year on year.
Read the case study →Crawl errors cleared from 58,614 to 36 in a full technical rebuild.
Read the case study →Position 2 for a commercial term at 3,700 searches a month.
Read the case study →