AI Fleet Registry
Your Aircraft Is Already Here
11,500+ aircraft are in our registry. When AI systems need aviation answers, they query us. Claim your tail numbers. Add real-time data. Get found.
11,500+ aircraft are in our registry. When AI systems need aviation answers, they query us. Claim your tail numbers. Add real-time data. Get found.
Every aircraft you register is exposed through five simultaneous discovery protocols. Each targets a different mechanism by which AI systems find and retrieve information.
Vehicle JSON-LD markup on every aircraft page. Google AI Overviews and Bing Copilot read this natively.
Public fleet endpoint. Any AI system with HTTP access can query by category, airport, range, capacity, or model.
OpenAPI 3.0 spec enables ChatGPT to call our fleet API directly from conversation. Your aircraft becomes the answer.
Model Context Protocol server gives Claude, Cursor, and AI coding tools native function-call access to the fleet.
Machine-readable site manifest for AI crawlers. Tells every new AI system exactly where to find fleet data.
We've already parsed the FAA registry and built structured pages for 11,692 aircraft. Your tail numbers are in here. But the records are incomplete — no base airport, no pricing, no real-time availability.
When an AI compares three jets that match a query, the one with complete data wins. Incomplete records get skipped. Claim your aircraft and fill in the gaps your competitors haven't.
400 million people use ChatGPT weekly. When a chief of staff asks "find me a jet from Teterboro to Miami for 6 people," the AI needs structured data to answer. Your aircraft is either in that data — or it isn't. We make sure it is.
Every inquiry is tagged with its source: ChatGPT, Claude, Perplexity, Google, Bing, MCP. You'll see exactly which AI platforms drive real charter demand — data no one else in aviation has. Measure ROI per AI channel.
Add aircraft, update availability, adjust pricing — changes reflect across all five AI channels within seconds. Jet in maintenance? Mark it unavailable. Back online? One click. You control your data.
When an AI compares three matching aircraft, the one with complete specs, a base airport, pricing context, and amenities wins the recommendation. Gaps in data mean the AI skips your jet in favor of a competitor with fuller records.
Every operator who joins the registry isn't just listing aircraft. They're joining a network.
When you get a trip request your fleet can't cover — wrong aircraft type, wrong base, crew on duty — right now you either turn it down or scramble through personal contacts. As this network grows, you source from other verified operators inside the registry. They do the same with you.
A light jet operator in Teterboro picks up overflow from a heavy jet operator in Fort Lauderdale. A turboprop shop in the Midwest sources a coast-to-coast leg to someone with a super-mid. Nobody loses the client. The trip stays in the network.
The bigger the network gets, the more cost-efficient every Part 135 certificate becomes — not just your own utilization, but access to a vetted pool of operators who fill the gaps your fleet can't.
We're not replacing AvBuyer, Controller, or JetNet. We're building the layer underneath them — the data infrastructure AI systems need to answer aviation questions. This is additive, not competitive.
| Traditional Listings | The Jet Finder | |
|---|---|---|
| Built for | Human browsers | AI agents |
| Data format | JS-rendered pages, PDFs | Structured HTML, API, MCP |
| AI accessibility | None — data behind walls | Five open channels |
| Cost to list | $500–$5,000+/month | Free |
| Lead source visibility | "Web inquiry" | Specific AI system tagged |
| Operator network | None | Cross-source from verified ops |
Operators ask this. They should. Here's the answer — no posturing, no fine print.
The more aircraft in the registry, the more useful our API becomes to AI systems. We need your fleet to build something worth querying. You're not doing us a favor — this is the foundation of our platform.
Lead referral fees, broker data access, analytics licensing — all on the demand side. We don't charge operators because your incentive and ours are aligned: more aircraft, more value, more leads for everyone.
Every operator who joins makes the network more valuable for every other operator. Cross-sourcing, overflow routing, broader fleet coverage — this only works at scale. We're building scale.
Down the road: priority AI ranking, scheduling system integration, enhanced analytics. Optional. The free tier stays free. We build features operators want to pay for — not ones they're forced into.
When someone asks ChatGPT, Claude, Perplexity, or any AI assistant to find a private jet — your aircraft shows up in the answer. Not a generic listing. Your specific tail number, with specs, availability, and a way to contact you. We make your fleet data machine-readable across five AI discovery channels simultaneously.
Your website is probably built in WordPress or Squarespace with JavaScript rendering — AI crawlers can't parse it. Your fleet specs live in PDFs, behind login walls, or scattered across broker databases. AI systems need structured, machine-readable data served over open protocols. That's what we built — Vehicle schema markup, REST API, MCP protocol, OpenAPI spec, and llms.txt. Five channels. One submission.
Nothing. No listing fees, no monthly subscription, no contracts. We monetize the demand side — lead referrals, broker data access, analytics licensing — not the operator. Your incentive and ours are aligned: the more aircraft in the registry, the more valuable the platform becomes.
OpenAI reports 400 million weekly active users. Perplexity handles 15 million queries per day. Google AI Overviews appear on a majority of search results. When a chief of staff or executive assistant needs a flight, they're increasingly asking AI first. Google returns 10 blue links. AI returns a direct answer — with specific aircraft. If your jet isn't in the data source, you don't exist in that answer.
Every inquiry is tagged with its source: ChatGPT, Claude, Perplexity, Google, Bing, MCP. This is logged in your operator dashboard. Over time, you'll see which AI platforms drive real charter demand — data no one else in aviation has.
Minimum: tail number and model name. We can pull FAA data for the rest. But complete data wins — base airport, availability, passenger capacity, range, hourly rates, and amenities all make your aircraft rank higher in AI responses. The form takes about 3 minutes per aircraft.
Yes. Your operator dashboard lets you add, edit, and remove aircraft instantly. Changes reflect across all five AI channels within seconds. You also receive an API key at signup for programmatic fleet management — sync from your scheduling system, push availability changes automatically.
Those are listing platforms built for human browsers. We're built for AI agents. Our data is structured for machine consumption across five open protocols. We're not replacing those platforms — we're building the data layer underneath them. You're not choosing between us and them. You're adding a discovery channel that didn't exist before, at no cost.
You control what's public. Aircraft specs (FAA public record) are always visible. Pricing, availability, and amenities are shown only if you provide them. Login credentials, API keys, and internal notes are never public. Accounts use bcrypt password hashing with rate-limited login and automatic session expiration.
Your competitors do. When someone asks any AI for a charter that matches what you fly, the AI returns their aircraft — not yours. AI systems learn from patterns. The sources they reference early become the sources they default to. There's no advantage to waiting. The cost is zero, setup takes 5 minutes, and every day your aircraft isn't in the AI data layer is a day demand flows to someone else's jet.
Create your operator account, claim your tail numbers, and make your fleet discoverable across the entire AI ecosystem. The registry is live. Your aircraft are waiting.
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