Technical SEO as ongoing engineering, not a one-off checklist.
A standalone audit lists issues; technical SEO as a service prioritises fixes by commercial impact, implements them with your developers or ours, and proves movement in crawl stats — not vanity position checks on a single keyword.
Depth you do not get from a generic services paragraph.
Crawl and render parity
We compare what users see with what Googlebot renders after JavaScript execution, including lazy-loaded pricing and consent banners that accidentally block LCP images. SSR vs CSR decisions are documented with rollback plans.
Indexation budgets on large sites
Faceted parameters, session tokens, and legacy international paths can waste crawl. We use Search Console coverage, server logs where available, and sampling to decide noindex vs canonical vs 404 — with before/after snapshots.
Structured data that matches visible content
Rich result eligibility decays fast when JSON-Ld drifts from DOM text. We version schema alongside template releases and add CI checks for required properties on templates that matter commercially.
How this differs from our paid audit product
The /audit engagement is a bounded diagnostic with a written report. Technical SEO retainers assume follow-through: ticket writing, acceptance testing, post-deploy re-crawl, and sometimes emergency rollback support during releases.
Questions
Straight answers on this specialism.
It helps on large or ambivalent indexation cases. When logs are unavailable, we lean on CDN edge logs or Search Console crawl stats with clear caveats about sampling limits.
Yes. Tickets ship with reproduction steps, expected crawler behaviour, and verification queries so QA can sign off without SEO jargon.
Smaller sites still break hreflang during HTTPS migrations, ship duplicate home URLs, or lose rich results after a theme update. The difference is volume of edge cases, not whether fundamentals matter.
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