Proof in the data

Real projects where technical fixes drove measurable growth. Clients are anonymised by industry - the numbers are theirs, verified in Search Console and analytics before and after.

Ascending results chart
E-commerce

Large product catalogue: +280% indexed pages

50K+ SKUs with severe crawl budget waste and duplicate content. Filter parameters had multiplied the URL space far beyond the real catalogue, and Google was spending its crawl on noise. Canonical rules, parameter handling and internal linking put the budget back on product pages.

+280%indexed pages
2.1xorganic traffic
0.8sLCP, down from 4.2s
5 motime to results
Crawl budgetFaceted navPage speed
SaaS

React SPA to a 96 Lighthouse score

A B2B software company whose React single-page app served empty HTML to anything that didn't execute JavaScript - which included the crawlers deciding its rankings. Server-side rendering for the pages that matter, schema markup that validates, and a Core Web Vitals cleanup.

96Lighthouse score
+180%organic traffic
23rich results won
4 motime to results
JS renderingSchemaCore Web Vitals
News & media

High-volume publisher: 3x crawl rate, -60% index bloat

500K+ URLs with crawl rate issues and years of outdated content bloating the index. Log-file analysis showed where Googlebot's time actually went; automated content pruning - built as a custom tool for this engagement - retired what earned nothing and freed the crawl for what did.

3xcrawl rate
+340%impressions
-60%index bloat
7 motime to results
Log analysisContent pruningAutomation

Your "before" numbers are one audit away.

Every case above started the same way: a free audit that found what was actually broken.