Search · AI · Performance
Two audiences read your site. You designed for one.
People skim it. Machines parse it, and more and more, they are the ones deciding whether you get recommended at all.
What a machine reads, on most sites
{
"@type": "LocalBusiness",
"name": "…",
"makesOffer": null,
"priceRange": null,
"areaServed": null
}
Six problems we solve
Organised by what keeps you up at night, not by which software we know.
- Get Found
You don't show up on Google, or in AI answers
- Measurement
You spend, and you don't know what it returns
- Performance & Accessibility
Your site is slow, and it fails the tests
- Sell Online
You want to sell more, not just have a website
- AI Automation
You want to do the same with fewer people
- Build
You need someone who actually builds it
Two things almost nobody else does
We find what the tools cannot see
A fixed-price investigation that finds the cause, proves it with a measurement, and shows the fix.
Agent-Ready CertificationYour site is probably invisible to AI, and nobody told you
Structured data, llms.txt, machine-readable catalogues and verified crawler access, tested with the real agents, with a before and after.
What tools don't report
Found in production, on real sites, by opening them up.
2 070 ms
of CPU on every page of a content platform, spent by one anti-spam widget: more than triple all the site's JavaScript.
65 526
shopping carts stored in the database of that same platform, against 261 orders ever placed.
14 h / day
of server CPU spent delivering 71 bytes, with the first answer thrown away.
Clients are not named. The numbers are exactly as measured.