Focused products rather than service lines — each with a defined scope, clear operating boundaries and a specific buyer use case.
Each card leads with the constraint rather than the benefit. That is the information a technical buyer actually needs first.
Manual QA cannot cover the number of devices your users actually have. This runs your site across a large device and browser matrix, compares what renders against what should render, and surfaces the failures that matter first.
Traditional search reporting stops too early. This accelerates how quickly priority URLs are discovered and refreshed, then measures separately whether search engines found them faster and whether AI answer engines began citing them.
A site audit usually means several tools, several exports and a report assembled by hand. CrawlIT runs discovery, inspection, review and export as one job, so the page a finding came from is still there when someone asks you to defend it.
Worth being explicit about, because the two are frequently sold as though they were the same.
The capabilities on this site describe work we do bespoke, shaped to the system in front of us. A solution is the opposite: a defined instrument, with a definable boundary around what it does and what it does not. Both are useful, and conflating them causes disappointment in both directions.
The quality engineer and CrawlIT are both in beta, and the citation product runs as a scoped pilot. None of them is presented as a mature platform. If you need something that is already widely deployed, the capabilities are the better fit.
Every product page here has a limits section with the same weight as its mechanism section. One cannot force AI citations. One cannot tell you whether a design is good. One produces evidence without claiming compliance. Those are the claims a buyer is most likely to have been misled about elsewhere.
Describe the problem either way. If a product fits it we will say so, and if it does not, we will say that instead.