Case study: technical SEO and competitor analysis for a US business funding broker
How a US business funding broker’s site hid 127 pages from Google, failed Core Web Vitals and lost its own reputation searches to a competitor.
Research, diagnosis and practical thinking across technical SEO, semantic search, structured data, indexation and the systems that sit beneath organic performance.
How a US business funding broker’s site hid 127 pages from Google, failed Core Web Vitals and lost its own reputation searches to a competitor.
How eight template edits resolved 88% of redirecting internal links on a growing marketplace, alongside sitemap clean-up and trailing-slash standardisation.
How structured data, hreflang and untranslated metadata combined to hold back a bilingual law firm’s English and Spanish pages.
Bot protection, outbound redirects, opaque URLs and corrupted structured data: what held back a very large directory, and the plan to fix it.
Structured data is useful, but semantic search strategy begins with entities, relationships, information architecture and consistent meaning across the site.
Indexation loss is rarely solved by one setting. Good diagnosis separates discovery, crawling, rendering, canonicalisation and indexing signals before changes are made.
Search Engineering treats crawling, indexation, rendering, architecture, structured data and diagnosis as one connected system.