Parsability

Eight-page Framer build for an AEO and GEO practice serving B2B SaaS across Asia.

The challenge was an abstract subject: how AI engines decide what to cite, and why those citations shift month to month. It had to read clearly and quickly for technical founders who decide fast. Delivered a CMS-driven Insights journal with an article template the client publishes into, FAQ blocks written as structured fields that render on the page and feed the schema from one source, a full JSON-LD layer with Article, FAQPage and BreadcrumbList on every article plus a single sitewide Organization and Person entity, an llms.txt index, custom-coded lead capture with scroll and exit triggers, and a sticky CTA. Built to be as machine-readable as the service it sells.