Pillar 111,260 UK searches / mo

Technical Foundations

Crawlability, rendering, indexing and structured-data foundations that decide whether you are even in the candidate pool.

Answer first

Technical foundations are the checks that decide whether a page is even eligible to be ranked or cited: it must be reachable, return 200 over HTTPS, be indexable, render its content in the raw HTML, declare one canonical URL, sit in the XML sitemap and pass Core Web Vitals. Laurelin's 330-check register puts 100 of its checks in this pillar because no amount of content or authority work matters for a page a crawler cannot fetch. This hub links the technical audit service, the pillar-one audit checks, the IndexNow submitter and the graph tooling that maps a site's crawl structure.

None of the visibility work matters if a machine cannot crawl, render and index the page in the first place. This is the foundation layer, codified as a 330-point technical audit across four pillars, every check cross-referenced to a primary source. Second-largest cluster by demand and the strongest bottom-of-funnel intent.

Which technical SEO foundations services does Laurelin offer?

Which free tools and lab builds cover technical SEO foundations?

What has Laurelin published on technical SEO foundations?

Which of the 330 audit checks belong to technical SEO foundations?

130 checks in the Technical Foundations pillar of the 330-check AEO audit, each cited to a primary source. The most consulted first.

All 130 technical foundations checks

Frequently asked questions about technical SEO foundations

What is a technical SEO foundations audit?

A systematic pass over crawlability, indexation, rendering, canonicalisation, site speed, HTTPS, sitemaps and URL structure, each check tied to a documented Google or W3C source. Laurelin runs it as the first 100 checks of the 330-check AEO audit and reports every failing item with its severity, its evidence and the fix.

Do AI crawlers follow the same rules as Googlebot?

Largely. GPTBot, ClaudeBot, PerplexityBot and Google-Extended obey robots.txt, fetch the raw HTML and mostly do not execute JavaScript, so server-rendered content, clean status codes and open robots rules matter more for AI search than for Google, not less.