Docket for your situation

The same 93 checks run on every site, but which findings matter most changes a lot by who you are. These pages cover what to look at first.

That is not a marketing framing. Docket scores every lane on every site, and the same finding genuinely carries different weight depending on how the business gets found.

Why the same finding lands differently

Missing LocalBusiness schema is close to fatal for a business that lives on "near me" searches and completely irrelevant to a SaaS company selling to another country. A slow product page costs an ecommerce site money on every session and costs a reference site almost nothing. Neither of those is a judgement about how good the site is; they are facts about which door customers come through.

The place this matters most is the middle of the list. Critical findings are critical for everyone — a page nobody can index cannot help anybody. It is the twenty MEDIUM findings underneath where knowing your own situation turns a report into a plan, and where a tool that only knows how to sort by severity leaves you to guess.

Two things are worth reading whoever you are, because they now apply to every kind of site: whether AI answer engines can reach and cite you, and which of your pages an AI answer replaces outright. Those were niche two years ago.

For SEO agencies

Unlimited client audits with no per-seat or per-crawl cost, and a client-ready PDF that does not need rebuilding in a deck.

For developers

The CLI as a deploy gate — exit codes, a working GitHub Actions job, and what it costs to run on a macOS runner.

For online shops

We audited ten large retailers before writing this one, and the result contradicted the pitch: none had broken product markup. What did show up, and where Screaming Frog is the better tool for a catalogue.

For local businesses

Why you are not in the map pack — LocalBusiness schema, NAP consistency, and the geo signals that decide "near me" results.

More coming, and one that is not

SaaS and in-house marketing pages will appear when each has something specific to say. Near-duplicate pages are the real flag risk in a programmatic set, not thin ones, so a page gets written when there is a measurement behind it rather than to fill a gap in a list.

That standard is why the ecommerce page took as long as it did: the honest version could only be written after auditing real shops, and what came back disagreed with what the page was going to say. If the other two never produce a finding worth publishing, they will not be written, and this paragraph will say so rather than promising them indefinitely.