Landing Page Optimisation
The page converts at 2 percent and nobody can say why. The team has opinions: the headline is vague, the form is too long, the CTA is below the fold. All plausible, none evidenced, and the loudest person wins. Meanwhile the analytics contain the answer — where people stop scrolling, which fields get abandoned, which traffic source bounces hardest — but reading that properly is an afternoon of work that nobody schedules.
Skynet does both halves. It reads the page fresh, without your knowledge of what you meant to say, and it reads the behaviour data through live connectors. The recommendation comes with a reason: not change the CTA, but 60 percent of visitors never scroll to it.
How it works
Read the page cold
Point the agent at the URL. It browses the live page and reports what a first-time visitor would understand — what the product is, who it is for, what happens next. The gap between that and your intent is usually the problem.
Check it against behaviour
Connect analytics so the reading is grounded. Scroll depth, drop-off points, and form abandonment turn a critique into a diagnosis.
Get specific proposals
Ask for rewrites and changes, each with the evidence behind it. A recommendation without a reason is just a preference, and you have plenty of those already.
Test rather than assume
Have the agent draft the variants worth testing and rank them by likely impact. You decide what ships and what gets tested first.
Build it from a prompt
Point it at the page and ask the honest question.
You get a critique that is grounded rather than aesthetic, and a shortlist of changes worth testing. The argument in the room stops being about taste and starts being about what the visitors are demonstrably doing.