LinkedIn Outreach for Aerospace AI CTOs: A 3-Touch Sequence Guide (2026)

Origami's built-in LinkedIn sequencer lets you take the Aerospace AI CTO list you just built and start outreach from the same platform—no CSVs, no middle tools. The sequencer is included on all paid plans; you only pay for credits used to enrich leads. This guide walks you through refining your list for LinkedIn, running a 3-touch sequence with copy you can steal, and what reply rates to expect.

You already know how to build a list of Aerospace AI CTOs using a simple English prompt inside Origami. Now you’ve got a clean list of verified names, emails, phone numbers, titles, and company details. That list is the fuel. The sequence is the engine. Here’s how to turn that list into conversations with CTOs who are actively shaping AI in aerospace—DRL, autonomous flight, AI/ML certification, and edge-deployed models.

Step 1: Refine and Segment Your List for LinkedIn

Before you send a single connection request, look at the list through the lens of a CTO’s buying triggers. In Origami, you can filter, tag, and remove leads directly from the prospect dashboard.

Remove poor fits immediately.

• Anyone with “VP of AI/ML” or “Director of Data Science” but not a CTO or Head of AI/Autonomy might be a great second-degree touch but not your primary target. Aerospace AI CTOs hold budget and approval power for flight-critical AI systems, simulation toolchains, and edge infrastructure. Focus there.
• Check company size & business model. A CTO at a 2-person drone startup is a different sale from one at a $2B defense prime. Both are valid, but your messaging will split: the startup CTO needs speed and cost avoidance; the defense prime CTO needs compliance (DO-178C, FAA/EASA) and vendor security reviews. Segment accordingly.
• Exclude anyone who recently changed roles (LinkedIn ‘Open to Work’ or announcement posts). They’re unlikely to have budget authority yet.

What a qualified Aerospace AI CTO looks like:

• Leads an AI/autonomy or advanced technology group within aerospace (commercial, defense, or urban air mobility).
• Has publicly shared content about AI certification, model deployment on avionics hardware, digital twin integration, or predictive maintenance.
• Works at a company that either builds aircraft, drones, UTM platforms, or critical defense systems—where AI models must meet strict verification & validation gates.
• Has a track record of speaking at events like AIAA SciTech, AUVSI Xponential, or FAA/EASA workshops.

Once you’ve refined, segment into buckets like:

• Defense primes (Lockheed, Raytheon, Northrop, BAE, Airbus Defence)
• eVTOL / Urban Air Mobility (Joby, Archer, Lilium, Wisk)
• Autonomous drone systems (Shield AI, Skydio, Anduril)
• Aerospace Tier 1 suppliers (Honeywell, Collins, BAE Systems, GE Aerospace)
• AI-first aerospace startups (anything under $50M funding, building autonomy stacks)

This segmentation will shape the variable fields you insert in your sequence later. Origami lets you tag each contact by segment so you can send sequences with slight messaging tweaks to each cohort.

Step 2: Create Your LinkedIn Sequence with Real Copy

Now the list is clean. You need a 3-touch LinkedIn sequence. Origami gives you two paths:

1. Paste your own templates: Write a connection request note, a Day-3 follow-up, and a Day-7 final message directly into the sequencer. Set delay days between touches and hit launch. You’ll use the copy I’m about to give you.
2. Let the agent write it: Ask Origami’s AI agent to generate a personalized 3-day sequence for all leads automatically. It reads each lead’s enriched profile—title, company, industry, tech stack—and crafts messages that feel hand-written. You can then review and tweak before launch. That removes hours of copy creation.

For full control, the first option is what I’ll detail. Below is the exact sequence you can steal, broken by segment.

The Sequence for Defense Prime CTOs

Touch 1 – Connection Request Note (max 300 characters):

Saw your talk at [event/conference] on certifying AI for mission-critical systems. I’m working on something that shortens FAA airworthiness evidence cycles for learned components. Would be great to connect.

Why this works: Name-dropping a specific event (you’ll personalize from the lead’s Linkedin activity) shows research. The term “learned components” is DO-178C/DAL language. A CTO will recognize you understand the domain.

Touch 2 – Day 3: Follow-up message (send after they accept)

Subject line: “V&V for learned components – a shortcut”

Great connecting, [First Name].

I noticed your team is pushing the envelope on autonomous flight controls. A challenge we commonly see is how to generate enough high-fidelity synthetic training data that holds up under DO-178C traceability without breaking the simulation budget. We built a pipeline that lets engineering leads like you certify machine-learned functions 40% faster by coupling digital twin environments with automated evidence packaging. No rip-and-replace—it sits on top of your existing sim stack.

Worth 15 minutes to see if this applies to your upcoming certification milestones?

Pain points woven in: FAA/EASA traceability, synthetic data quality, budget pressure, avoiding ground-up rebuild of simulation infrastructure.

Touch 3 – Day 7: Final message (soft close)

Subject line: “Missed my note”

Hi [First Name],

I know you’re heads-down on [mention a recent contract or program if known]. If certifying AI models is on your roadmap for 2026-27, I can show you how [Company Name] reduces the evidence burden by using runtime assurance patterns already accepted in draft FAA guidance. My calendar link is below—or reply here and I’ll find a time that works.

[Calendar link]

Key: Use a calendar link and make it easy. If they’re interested, they’ll book. If not, they’ll ignore—and the sequence ends. No passive-aggressive breakups.

The Sequence for eVTOL / Urban Air Mobility CTOs

Touch 1 – Connection Request Note:

Hey [First Name], I’ve been following [Company]’s progress toward type certification. I work on AI model assurance that accelerates FAA certification for autonomy-driven aircraft. Would love to share some recent data.

Touch 2 – Day 3 Follow-up: Subject: “AI certification data for eVTOL”

[First Name],

I’ve studied the certification pathway for your aircraft class. One bottleneck we solve is the safety case for computer vision models used in DAA (detect-and-avoid) and landing zone selection: running millions of edge cases in certified simulators and automatically compiling the artifacts the FAA’s AI/ML policy working group looks for. We’ve seen teams cut evidence package prep from 6 months to 6 weeks.

Can I walk you through a 10-minute demo with a similar eVTOL OEM?

Touch 3 – Day 7 Final: Subject: “Quick follow-up”

[First Name],

I know certification timelines are tight. If it’s easier, I can share a 2-page summary of how [Company] worked with an eVTOL team to get their perception stack through preliminary type certification review. No pitch, just the process. Interested?

The Sequence for Autonomous Drone System CTOs

Touch 1 – Connection Request Note:

Your work on [specific drone model]’s onboard AI is impressive. I help autonomy engineers run certifiable AI on edge compute with deterministic latency—something we’ve battle-tested with defense UAV programs.

Touch 2 – Day 3 Follow-up: Subject: “Edge AI latency for drone ops”

[First Name],

When you’re pushing neural network inference onto an NVIDIA Jetson or Qualcomm RB5 on-board, jitter can ruin a mission. We built a toolchain that profiles model timing across all flight conditions and auto-generates runtime assurance monitors that keep latency in check, even during on-the-fly retraining. Defense teams use it to pass Army/EASA airworthiness reviews.

Can I send over a technical brief that includes real-world latency numbers from a Group 3 UAV?

Touch 3 – Day 7 Final: Subject: “Edge AI brief”

[First Name],

No worries if timing isn’t right. That brief on edge AI certification is ready—just say the word. Also, if you’re at AUVSI next month, I’d love to buy you a coffee and swap war stories about onboard AI validation.

These messages are 50–100 words each, direct, and free of marketing jargon. They reference real problems aerospace AI CTOs face daily. You can copy-paste them into Origami’s sequencer template builder and replace variables like [First Name], [Company], and any event/program mentions from the enriched data on each lead card.

Step 3: Launch and Track Directly from Origami

Here’s where the platform shines. With your sequence ready, you don’t export the list. You don’t import to another tool. You launch directly from Origami.

1. Go to the prospect list you already refined.
2. Click “Create Sequence” – it opens the LinkedIn sequencer.
3. Choose whether to paste your templates or let the AI generate them. For our example, paste the three touches, set delays: Day 1 (instant after acceptance), Day 3 (wait 2 days), Day 7 (wait 4 days).
4. Hit “Launch”.

Origami’s built-in sequencer handles:

• Automated connection requests: Sends the note you wrote along with the invite.
• Follow-up messages: Only fires after acceptance, with configurable gaps.
• Sending & tracking: Shows opens, clicks, and replies directly in the same dashboard where you built the list.
• Prospect context: While viewing a contact’s activity, you see their enriched profile—title, company, tools used, recent news—so you instantly recall why you reached out.
• Automatic un-enrollment: If someone replies (even a “not interested”), they exit the sequence. You’ll never accidentally send a breakup message after they’ve already booked a meeting.

The sequencer is included on all paid plans. You’re only paying for credits to enrich leads. The sending engine itself is free. That means from list-building to outreach is one platform: find, enrich, sequence, send, track. No syncing, no Zapier, no CSV export.

What response rates to expect

For Aerospace AI CTOs, a well-targeted list with the messaging above typically sees:

• Connection acceptance rate: 22–30% (if the note references a genuine shared context; fallback to generic note drops to 10%).
• Reply rate to Day-3 follow-up: 12–18%.
• Positive replies (meeting booked): 5–8% of accepted connections. These numbers assume you’re reaching 50-100 highly filtered leads, not spraying 500. Aerospace CTOs are a small, tight-knit community. They respond to specificity.

When to iterate on messaging vs. iterate on the list

• If your acceptance rate is below 15% after 50 sent, your connection note is too generic or you’re reaching out to the wrong sub-segment. Try referencing a different pain point (trade FAA for EASA if they’re European) or personalizing with a recent LinkedIn post they made.
• If your reply rate is low but acceptance is solid, refine the Day-3 follow-up. Shorten the message. Test a version that asks a smart question about their current program rather than pitching immediately.
• If you get zero positive replies after two batches, go back to Origami and tighten your list criteria. Re-run the search with added filters: company revenue > $50M, role = CTO + AI, location = US/EEU, and exclude anyone in “stealth mode” startups.

From List to Meeting—One Platform

The hardest part of outreaching to Aerospace AI CTOs isn’t finding them—it’s reaching them with a message that sounds like an insider. The copy above does that. Combine it with Origami’s built-in sequencer and you remove the tedious tool-switching that kills momentum. Build your list, drop in this sequence, and launch. Monitor the replies from the same dashboard where you enriched the leads. When someone asks for a demo, you’ll see their entire profile and know exactly why you contacted them.

The list you already built in Origami is worth nothing if it stays in a CSV. Put it to work.