A technical SEO audit checklist for B2B tech companies

Most technical SEO audits we inherit are generic. They flag the same forty issues you’d see on any WordPress site, miss the things that actually move rankings for technology companies and leave the marketing team with a 200-row spreadsheet nobody can prioritise.

When we audit a B2B tech site, whether it’s an MSP with twelve service-area pages or a SaaS platform with hundreds of programmatic templates, we’re looking for a smaller set of problems that disproportionately affect performance. This is the checklist we actually use.

Start with crawl budget, not crawl errors

For most marketing sites under 500 pages, crawl budget is a non-issue. For tech sites it often isn’t. Headless CMS deployments, faceted product filters, parameter URLs from CRM forms and old documentation subdomains all eat crawl budget before Google reaches the pages that earn revenue.

We start every audit by exporting Search Console’s Crawl Stats report and comparing it to a fresh Screaming Frog crawl. Three things we check first:

• The ratio of crawled URLs to URLs in the XML sitemap. If Googlebot is spending 70% of its time outside the sitemap, something is wrong.
• Response code distribution over the past 90 days. A spike in 304s is fine. A creeping increase in 5xx errors during business hours usually points at an origin under load.
• Average response time by URL pattern. We’ve found that grouping by directory (/blog, /docs, /resources) surfaces problems that page-level reports hide.

For a recent enterprise software client, this single exercise revealed that 40% of crawl was going to a deprecated knowledge base nobody had thought to retire. Removing it freed budget for the product pages they actually wanted indexed.

Indexation: what’s in, what shouldn’t be, what’s missing

Crawled does not mean indexed. We pull the Page Indexing report from Search Console and reconcile it against the sitemap, the crawl and a site: operator search. Common patterns we find on tech sites:

• Staging environments accidentally indexed because robots.txt was overwritten during a deploy.
• Old campaign landing pages from three agencies ago, still ranking and pulling traffic to dead forms.
• Trailing-slash and case-sensitivity duplicates (/Pricing vs /pricing) in PHP-based stacks.
• JavaScript-rendered pages where Google has indexed the shell but not the content. We use the URL Inspection tool to compare rendered HTML against view-source.

If you’re working on a JavaScript-heavy site, our notes on WordPress vs headless for B2B tech cover the rendering trade-offs in more detail. Crawl reconciliation also surfaces the subfolders versus subdomains question for docs and blogs.

Information architecture and internal linking

Site structure is where most B2B tech sites lose ranking potential. The pattern we see repeatedly:

1. A flat structure where every service, location and case study sits one click from the homepage.
2. No clear hub-and-spoke between pillar topics and supporting content.
3. Orphan pages created by sales or product teams that nobody in marketing knew existed.

We crawl the site, export the inlinks data and map it visually. Pages with fewer than five internal inbound links rarely rank for anything competitive. Pages buried four clicks deep behave like they don’t exist.

For larger sites, we then plan a remediation. Our piece on internal linking strategies for large tech websites walks through the framework we use. The topic clusters approach explains how we group content for crawl efficiency and topical authority.

Core Web Vitals and rendering performance

Google has been quietly tightening the Core Web Vitals thresholds again and most tech marketing sites we audit fail at least one. The usual suspects:

• LCP held back by a hero image loaded via a CMS that ignores fetchpriority.
• INP regressions from third-party tag managers firing on first interaction.
• CLS from late-loading cookie banners and chat widgets.

We run Lighthouse in lab mode, then check the Chrome User Experience Report (CrUX) for field data. Lab numbers tell you what could be wrong, field data tells you what users actually experience. We have a separate, more detailed page speed checklist for tech sites and a recent piece on what still matters in Core Web Vitals in 2026.

Structured data: the right schema, correctly nested

Most tech sites either have no structured data or have copied a Yoast default that doesn’t match the page type. For a B2B SaaS or MSP, we audit:

• Organization schema on the homepage with sameAs entries for legitimate profiles.
• LocalBusiness schema for IT support firms with physical offices, properly nested with serviceArea.
• Product or SoftwareApplication schema on SaaS pricing and feature pages.
• Article schema on blog posts, with author entities that exist as real Person pages.
• FAQ schema only where the questions are genuinely useful, not stuffed for SERP real estate.

We validate everything in the Rich Results Test and Schema Markup Validator. Tools like Sitebulb will flag missing schema, but they won’t tell you whether what’s there is semantically correct.

XML sitemaps, robots.txt and canonicals

These three files are the most common source of self-inflicted SEO damage we see. The audit:

• One sitemap per content type, indexed from a sitemap index. Blog, services, case studies, resources.
• No noindex pages in any sitemap. No 301s, 404s or canonicalised duplicates either.
• Robots.txt clean of accidental Disallows on /wp-content/uploads, /api or anything Google needs to render the page.
• Canonical tags self-referencing on indexable pages, pointing to the chosen version on duplicates.

A surprisingly common issue: a canonical tag on a paginated blog archive pointing to page 1, hiding pages 2 onwards from indexing. Older Yoast versions did this by default.

Logs, then competitors, then content

Once the technical foundation is mapped, we pull server logs (or Cloudflare logs if the site sits behind it) for the past 30 days and look at what Googlebot is actually crawling versus what we want it to crawl. Log analysis is the single most underused part of technical SEO on B2B tech sites.

Then we benchmark against two or three direct competitors using Ahrefs or Semrush. Not for keyword gaps at this stage, but for technical signals: how many indexed URLs, average page weight, how aggressively they use schema, where they sit on Core Web Vitals. For SaaS specifically, we publish a wider set of SaaS SEO benchmarks for 2026 you can use as a reference point.

Prioritisation: the only output that matters

A technical SEO audit is worthless without prioritisation. We score every issue on three axes: traffic impact, implementation effort and risk. Anything in the top-right of that matrix gets a ticket in the client’s project tracker with a recommended fix, an owner and a deadline. Everything else goes in a backlog with notes.

For an MSP we worked with last quarter, the audit surfaced 47 issues. Six made the priority list. Fixing those six lifted organic sessions 31% over the following 90 days. The other 41 sat in the backlog and most were never needed.

If you’d like a second pair of eyes on your own site, tell us about it. We’re usually able to spot a few quick wins in a 30-minute call. Our SEO services page has more on how we approach this work end to end.