Signs of a technical SEO problem
Pages indexed inconsistently
Some pages rank, near-identical ones don't, with no content difference to explain it — usually a crawling, canonicalization, or rendering issue, not a content problem at all.
Core Web Vitals failing in Search Console
Slow LCP, layout shift, or poor interactivity scores that content edits can't fix, because the underlying cause is render-blocking scripts, unoptimized images, or third-party tracking tags.
Traffic dropped after a migration or redesign
A site move, CMS change, or redesign that quietly broke redirects, canonical tags, or the sitemap — and nobody caught it until organic rankings had already fallen sharply.
Structured data errors in Search Console
JSON-LD that doesn't validate against the schema, or valid schema that doesn't actually match what's visible on the page — either one can cost you rich results entirely.
New pages take weeks to get indexed
A new blog post or landing page should appear in Google within days. When it takes weeks or never happens, that's usually a crawl-budget or internal-linking problem, not a content quality issue.
What changes
A crawl budget that isn't wasted
Duplicate URLs, parameter variations, and low-value pages stop competing with your real content for Google's limited crawl attention.
Core Web Vitals in the green
Render-blocking resources, unoptimized media, and layout instability fixed at the source, not papered over with a caching plugin.
Indexation that matches intent
Every page that should rank is indexable and self-canonical; every page that shouldn't (thin, duplicate, parameter-driven) is deliberately excluded.
Structured data that actually validates
JSON-LD audited against both the schema.org spec and what's visibly on the page, so it earns rich results instead of a Search Console warning.
Faster indexing for new content
Internal linking and crawl-budget fixes so a newly published page reaches Google's index in days, not weeks — which matters most for time-sensitive content.
What's included
How we get there
Crawl the site the way Google does
We run an independent crawl and compare it against Search Console data to find where the two disagree — that gap is usually where the problem lives.
Prioritize by impact, not by ease
A quick fix that doesn't move rankings isn't worth doing first. We rank issues by estimated traffic impact, not by which ones are simplest to close.
Fix at the source
Root-cause fixes to code, configuration, and architecture — not band-aids that mask a symptom in Search Console while the underlying issue persists.
Validate against real crawlers
Every fix is checked against Google's own tools (URL Inspection, Rich Results Test) before we call it done, not just against our own crawler.
Monitor for regressions
Technical issues creep back in with every deploy. We can set up ongoing monitoring so a regression gets caught in days, not months.
Tools we use
Case study coming soon
No verified technical SEO case study is published yet for this specific page. We'll add one here once a project completes and the outcome is confirmed with the client — see content/claims-register.md for how we gate proof before it ships.
Timeline
Timelines depend heavily on whether fixes require code changes your team implements versus changes we can make directly, and how many templates or page types are affected by each issue.