What to look for in a technical SEO audit?
What makes an audit 'technical' specifically?
A technical SEO audit focuses on the infrastructure underneath your content — the elements that control how search engines access, render, and interpret your pages, rather than what those pages actually say.
A non-technical person can read a piece of content and judge whether it's useful; they generally can't tell from reading it whether the page's canonical tag is pointing to the wrong URL, whether the JavaScript is preventing the content from rendering correctly for Googlebot, or whether the redirect chain is losing authority at each hop. These are the issues technical SEO audits are specifically designed to surface.
The crawlability layer: the most critical check in a technical SEO audit
The most fundamental thing to check is whether search engines can actually reach and read each of your important pages. This means: confirming robots.txt isn't accidentally blocking entire sections, checking that no important pages have a noindex meta tag applied by accident (a common consequence of template changes), confirming that your sitemap lists the right pages and those pages actually return 200 status codes, and using Search Console to review which pages are indexed versus excluded and why.
Structured data as a growing technical priority
Structured data (schema markup) has become an increasingly important technical area to audit, particularly as AI-powered search evolves. Incorrect or missing structured data doesn't typically suppress rankings the way a crawlability error does, but it does prevent rich results (such as star ratings and product prices in search listings) and reduces the likelihood of AI search tools accurately citing your pages. Technical audits should validate all structured data using a testing tool, checking for missing required fields, invalid property values, and schema types that don't match the actual page content.
Key Takeaways
- Technical SEO covers infrastructure, not content — how search engines access and interpret your pages.
- Crawlability is the most critical check — a blocked page can't rank regardless of quality.
- Structured data has become a core technical priority as AI search grows.
Related Questions
Frequently asked questions
What makes an SEO audit technical rather than content-focused?
A technical SEO audit focuses on the infrastructure underneath your content: the elements that control how search engines access, render and interpret pages, rather than what the pages say. Anyone can read a piece of content and judge whether it is useful, but they generally cannot tell by reading it whether the canonical tag points to the wrong URL, whether JavaScript is stopping the content rendering for Googlebot, or whether a redirect chain is losing authority at each hop. Technical audits are designed specifically to surface these hidden problems that affect visibility.
How do I check crawlability in a technical SEO audit?
Crawlability is the most critical technical check, because a page search engines cannot reach cannot rank, whatever its quality. Confirm that robots.txt is not accidentally blocking whole sections of the site. Check that no important pages carry a noindex meta tag by mistake, which commonly happens after template changes. Make sure your sitemap lists the right pages and that those pages return a 200 status code. Then use Search Console to review which pages are indexed and which are excluded, along with the reasons given for each exclusion.
Why should structured data be part of a technical SEO audit?
Structured data, or schema markup, has become an increasingly important area to audit as AI-powered search evolves. Incorrect or missing structured data does not usually suppress rankings the way a crawlability error does, but it prevents rich results such as star ratings and product prices in search listings. It also reduces the chance of AI search tools citing your pages accurately. A technical audit should validate all structured data with a testing tool, checking for missing required fields, invalid property values and schema types that do not match the page content.