An ecommerce SEO audit built for stores

When you book my ecommerce SEO audit service, I do not run a tool and hand you its PDF. I start by reconstructing how search engines actually experience your store: I crawl it the way Googlebot does, then compare that crawl against your XML sitemaps, your Search Console coverage, and a sample of server log files so I can see which URLs are genuinely being requested, rendered and indexed versus which ones are quietly wasting crawl budget. On a store with thousands of SKUs, the gap between those two pictures is usually where the lost revenue hides, and that gap is the first thing I quantify for you.

The stack I rely on is deliberately boring and verifiable. I crawl with Screaming Frog and Sitebulb, pull historical performance and query data from Google Search Console, cross-check rankings and link profiles in Ahrefs and Semrush, and measure real-world speed with PageSpeed Insights and the Chrome UX Report rather than lab scores alone. For stores that render product data client-side, I inspect the rendered DOM and run JavaScript crawls so I can prove whether critical content and internal links reach the index. Everything I claim is backed by an exported row you can open yourself, not an opinion you have to take on trust.

A good audit makes decisions, not just observations. The hardest calls on an ecommerce site are almost always around faceted navigation: I decide exactly which filter and sort URLs should be indexed, which should be canonicalised, and which should be blocked in robots.txt or served noindex, then I map how that choice affects crawl budget and internal link equity. I review Product and Offer JSON-LD against Google's merchant requirements so your listings qualify for rich results, settle the canonical strategy for colour and size variants, and define exactly how out-of-stock and discontinued URLs are handled so you keep the authority those pages earned.

The mistakes I fix most often are the ones generic reports miss. Index bloat from parameter URLs and internal site search pages; keyword cannibalisation where three thin collection pages compete for the same term and none of them win; pagination handled so that products on page two never get discovered; collection pages with no indexable copy above the fold; and migrations where redirect maps were built on URL guesses instead of actual indexed inventory. I give you a single prioritised list ordered by expected revenue impact against effort, so your developer knows what to ship first and why it matters.