An AI-operated demand engine that turns paid attention into real, qualified private-charter buyers — built on a brand people already want in on.
One door in. An AI carries every lead from an ad to a real quote.
Demand starts with desire. These are the video ads live in-market — the reels that stop the scroll and pull high-intent travellers to one place to act.
Attention lands on one page — flyjetr.app/quote — and an AI concierge carries it all the way to a real aircraft recommendation.
Behind those five stages is one AI doing the work a room of brokers used to. AVA doesn't wait on a form — she reads intent, qualifies, sources, quotes, and follows up: 24/7, in any language, at near-zero marginal cost. This is the engine, step by step.
Natural-language understanding pulls origin, destination, date and passengers from a 60-second quote, a WhatsApp message, or an @mention on the timeline — no rigid form, answered in the lead's own language.
AVA scores every lead with reasons, filters test + bot traffic, and fires server-side conversions — so we know exactly which ad produced which real, contactable buyer.
She sources live aircraft across Avinode's 10,000+ jets, matches the right class to the route, and returns a real all-in quote — the step that used to take a human broker hours.
AVA runs the concierge follow-up, answers questions, manages the live request queue, and books — then net brokerage revenue routes to the treasury that backs the token economics.
The destinations sell themselves.
This isn't a landing page with a form. It's a private-aviation product — editorial destination pages, an in-app concierge, and booking in about sixty seconds. The funnel sends demand into something real.
Not vanity clicks — named, contactable, high-intent people on real routes, each auto-qualified and quoted by the concierge.
Most early funnels chase whatever the browser reports — numbers inflated by bots and double-counting. We track server-side and attribute every lead, so each dollar optimizes toward real buyers.
Creative that makes private aviation feel owned, not rented — demand starts before the form.
Sourcing, qualifying and quoting without staffing cost. The model scales with spend, not headcount.
Server-side, attributed, screened. We optimize toward qualified buyers, not browser noise.
A live booking app, 10,000+ aircraft, and a real Gulfstream anchoring the brand inside a $34B market.
Every booking carries an embedded brokerage margin inside a single all-in price. The product is real today — a booking app on live aircraft supply — and the brand is anchored by a tangible Gulfstream, wrapped in a tokenized-ownership story on Base.
Instagram sells the flights. X tells the $JETR token story. Both funnel real demand through one quote page.
Spend is intentionally paused while we sharpen the two highest-leverage levers, then re-open into a system we can measure and trust. Capital discipline on a proven funnel — not a stall.
A real booking product, an AI that sells it, and a funnel that already produced real, qualified buyers — now tuned to scale.