Our approach
The Visitor Who Arrives Now Already Knows Half of It
Conversion pages were largely designed for a cold visitor who found you through a search result and needed educating from scratch. That visitor is becoming rarer. The one arriving now has often already read an AI summary comparing you to two competitors, and lands with specific questions rather than general curiosity.
That inverts the page's job. Long educational preamble that used to build interest now creates friction, because they already have the context. What they need is the specific detail the summary couldn't give them — real pricing, real limits, real proof — and a fast path to acting on it.
The other half of this is mechanical. Slow pages lose informed, impatient visitors quickly, and the same performance work that helps them helps the crawlers feeding the assistants that sent them.
The common approach
The RankOnTime approach
Pages built for a cold, uninformed visitor
Pages built for a visitor who arrived pre-researched
Long educational preamble above the offer
Specific detail and proof surfaced immediately
Pricing gated behind a demo request
Pricing accessible, because they already expected to find it
Forms collecting everything up front
Minimum viable form, enrichment afterwards
Performance treated as an engineering concern
Performance measured for buyers and bots together
Testing based on opinion
Testing prioritised by measured friction, not preference