Eight expert audits,
in one report

50+ checks across eight weighted categories — SEO, performance, accessibility, Shopify best practice, conversion, technical, security and compliance — combined into one score you can trace point by point.

Every failed check becomes an issue carrying its evidence, the business impact, the points it costs you, the fix, and a link to the documentation that backs it.

LCP, CLS, TBT and INP from Google PageSpeed Insights — CrUX field data from real Chrome users where your traffic supports it, Lighthouse lab data where it does not, and we always say which you got.

Not just the p75. What share of your visitors waited more than four seconds, phone and desktop measured separately, dated to the 28-day window it came from so a fix shipped last week is not mistaken for a fix that failed.

Which Google rich results your pages qualify for, which they miss and why — with the Product, Organization and Breadcrumb JSON-LD generated for you to paste in.

The theme and its version, every app and tracking pixel loading on the storefront, your markets and currencies, and a catalogue sample — all read from the public store before you grant anything.

Every page we opened — homepage, products, collections, blog and policies — with a screenshot of each as it rendered at the moment we measured it, plus one of your cart, which Shopify tells crawlers not to fetch.

The findings turned into a roadmap ranked by what each one is worth, split by who has to do the work — what you can change in admin today versus what needs a developer.

The whole report as a PDF for the team, or a public link anyone can open without an account. Your audit history and screenshots stay in your dashboard.

Up to ten product pages from your live catalogue, each scored out of 100 against the 16 things that decide whether a visitor buys — and it tells a product problem from a theme problem, so you know whether to fix one listing or one snippet.

Up to six collections scored on filtering, sorting, what each product card says for itself, and whether the page gives Google anything to rank it on as a category. Almost every fix lands in one template.

The last page before the money, on 15 checks from wallet buttons to when the delivery cost is finally mentioned. Your cart drawer is read too, and the score says which checks an empty cart could not answer rather than guessing them.

Each scanned page carries the HTTP status your server returned, how long it took, how many kilobytes of HTML it sent, and a photograph of how it rendered. A page that 404s keeps its row — that is a finding, not a gap.

Each finding priced as a monthly range, from published elasticity research applied to your own traffic, AOV and conversion rate. Always a range with a confidence level, never a single number, and the arithmetic is shown rather than asserted.

What each app on your storefront actually costs — measured by loading the page without it, not estimated. Its subscription price and the conversion its weight costs you, on one row, so an app that earns less than it takes is visible.

A link scan sees the dead ends on pages it can crawl. Your analytics add the ones nothing links to any more — the deleted product three blogs still point at, the collection an ad is still landing on — which is where the expensive 404s live.

Re-audit on a schedule. A check is a full audit, not a lighter second measurement, so what the alert reports is the same number your report shows.

A move has to fail three independent tests before we email: it went the wrong way, it moved further than the metric’s own noise floor, and it moved further than your store’s own history. Alerts are per episode, not per check, so a problem is reported once rather than every morning.

Every audit is kept, so the score, each category and each metric carry a history — and you can show what changed after you shipped a fix, rather than asserting it.