LinkedIn Outreach to Marketing Managers at AI Companies (2026)

What This Guide Does

Quick Answer: Origami includes a built-in LinkedIn sequencer — you find Marketing Managers at AI companies, enrich their profiles, and send a 3-touch outreach sequence without leaving the platform. No CSV exports, no third-party tools. You describe who you want, refine the list, write the messages (or let the AI generate them), set the cadence, and launch. This guide shows you exactly how to do it with message scripts you can steal.

This is the companion to our post on how to find Marketing Managers at AI companies. If you already have the list, skip to Step 2. If not, I'll show you the 60-second prompt that builds it.

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Why LinkedIn Outreach to AI Marketing Managers Is Different

Marketing Managers at AI companies deal with positioning challenges that don't exist anywhere else. A customer told us: "We launched a product that doesn't fit any category. Apollo gave me a list of 'AI Marketing Managers' but half of them were at agencies, and the other half were running paid ads for SaaS tools that happen to use machine learning. I needed people marketing actual AI products — foundation models, agents, infrastructure — and I couldn't filter for that anywhere."

That's the problem with generic databases: "AI company" is too broad. Someone marketing an LLM API to developers has zero overlap with someone marketing an AI-powered CRM to sales teams. The ICP is completely different. The buyer journey is different. The pain points are different.

Origami solves this by letting you describe the actual segment you want in natural language. You can say "Marketing Managers at companies building AI agents for enterprise workflows, 50–200 employees, funded in the last 18 months, based in the US or UK" and it finds them. Then you can layer on signals like recent LinkedIn posts about product-market fit, hiring activity, or tech stack changes. You're not starting with a stale database and hoping 10% of it is relevant — you're building a list of people who match your exact criteria right now.

Once you have that list, the built-in sequencer lets you message them directly from the same platform. No exporting to a CSV, uploading to a separate tool, mapping fields, syncing inboxes, and crossing your fingers that nothing breaks. One prompt → qualified list → personalized sequence → replies.

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Step 1: Build (or Refresh) Your List in Origami

If you haven't built the list yet, you can do it in under a minute. Inside Origami, describe your ideal prospect in plain English. Here's the exact prompt I use:

"Find Marketing Managers at US-based AI companies with 50–500 employees. Only include people who posted about AI product marketing, pipeline attribution, or competitive positioning in the last 90 days. Exclude agencies, consultancies, and companies that just use AI internally. Return verified emails, phone numbers, company name, employee count, funding stage, tech stack, and personal LinkedIn URL."

Origami's AI agent searches the live web, chains data sources (LinkedIn, company websites, tech stack databases, funding records), enriches each contact, and returns a qualified list with verified email addresses and phone numbers — not scraped guesses. You also get company descriptions, recent funding rounds, and LinkedIn activity signals.

The free plan gives you 1,000 credits (no credit card required). That's enough to build and test a real campaign at zero cost.

Already have the list? Jump to Step 2.

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Step 2: Segment and Qualify for LinkedIn

A raw list of 200 Marketing Managers isn't a campaign — it's a spreadsheet. You need to segment before you sequence. On LinkedIn, relevance beats volume every time. A tight list of 80 people who match your exact criteria will outperform a spray-and-pray list of 500.

Here's how I segment Marketing Managers at AI companies inside Origami:

Filter by AI sub-vertical

Not all AI is the same. Someone marketing a foundation model (OpenAI, Anthropic, Mistral) deals with completely different positioning than someone marketing an AI-native SaaS product (e.g., AI writing assistant, AI sales coach). I create segments like:

• Foundation model companies — LLM providers, open-source model builders, multimodal AI labs
• AI-native SaaS — products built on top of GPT, Claude, or Gemini (copilots, assistants, agents)
• AI infrastructure & MLOps — vector databases, orchestration layers, fine-tuning platforms, compute providers
• Vertical AI — AI for legal, healthcare, finance, manufacturing (very specific use cases)

You can filter this in Origami by using the enriched "company description" or "industry" tags. If someone's company description says "vector database for semantic search," they're infrastructure. If it says "AI writing assistant for marketing teams," they're AI-native SaaS.

Filter by company size

• 11–50 employees: Marketing Manager is often a team of one, doing everything from positioning to demand gen. High urgency, low budget.
• 51–200 employees: Small marketing team, starting to care about attribution and pipeline. Sweet spot for most tools.
• 201–500 employees: Larger org, likely using marketing ops platforms already. Harder to reach, longer sales cycle.

I usually start with the 51–200 slice — enough scale to need better processes, but still accessible on LinkedIn.

Filter by LinkedIn activity

Origami surfaces whether someone posts regularly. If a Marketing Manager has been sharing content about AI marketing challenges (positioning, attribution, competitive landscape), they're 10x more likely to reply. I create two segments:

1. Active posters — people who posted in the last 30 days about relevant topics
2. Lurkers — people who don't post much but are at target companies

The active posters get the first batch. If they engage, I expand to lurkers.

Trim the noise

Remove anyone who:

• Works at an AI agency or consultancy (they won't buy the same way)
• Has a title like "Marketing Manager, Events" or "Marketing Manager, EMEA" (unlikely to control tool budget)
• Hasn't changed roles in the last 18 months (low urgency signal)
• Is at a company with no recent funding or hiring activity (probably not scaling)

At this point you might have 80–120 highly qualified prospects. That's a real campaign.

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Step 3: Write the LinkedIn Sequence (or Let the Agent Do It)

Origami offers two ways to build your outreach sequence:

Option A: Paste your own templates

If you have a proven sequence, paste it into Origami's sequencer. Write three messages, assign delays between them (e.g., Day 1, Day 4, Day 8), and hit launch. No CSV exports, no field mapping.

Option B: Let the AI agent generate personalized messages

Toggle on the AI writer and Origami will automatically create a 3-touch LinkedIn sequence for every lead. It uses the enriched data — title, company, recent posts, tech stack — to write messages that sound like they came from a human. For a list of 100 leads, that's hours of copywriting saved.

I usually combine both: I write the core templates, set them as the default, then let the agent personalize the opening line and one detail per lead (e.g., a recent post they shared or a funding announcement).

Below is the exact 3-touch sequence I use for Marketing Managers at AI companies. It works because it speaks to their actual pain points — not generic "I love what you're doing" fluff.

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The 3-Touch LinkedIn Sequence You Can Steal

Touch 1 — Connection Request (Day 1)

Character limit: 300 characters (LinkedIn enforces this)

"Hi [FirstName], I'm following [Company]'s positioning — not many AI brands nail the product-story like you. I help marketing teams at AI companies turn that story into pipeline without burning budget on paid. No pitch yet, just wanted to connect and trade notes on the weirdness that is AI marketing."

Why it works:

• Specific detail ("positioning") shows you looked at their company
• Acknowledges the unique challenge of AI marketing (not generic B2B SaaS)
• Explicitly removes pressure ("No pitch yet")
• Invitation to "trade notes" positions you as a peer, not a vendor

Personalization layer (optional): If they posted something recently, reference it: "Loved your take on [topic] — that's exactly what I mean by the weirdness of AI marketing."

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Touch 2 — Follow-Up Message (Day 4)

Send this 3–4 days after they accept the connection request.

"[FirstName], one thing I hear from AI marketing managers is that attribution breaks when your product doesn't fit a standard B2B funnel. Demos don't convert the same way. Free trials get gamed. Self-serve mixed with enterprise sales creates attribution nightmares.\n\nI put together a 3-page framework for mapping pipeline from demos to model-driven conversion — no fluff, just the flow. If you're dealing with that, I'd be happy to forward it. No strings."

Why it works:

• Names a real, specific pain (attribution for non-linear AI product funnels)
• Offers a concrete resource ("3-page framework")
• "No strings" defuses the pitch radar
• Shows you understand the nuance of their world (not generic demand gen advice)

What to attach (if they reply): A one-page visual diagram showing how to track attribution when users interact with AI models (e.g., API calls, inference volume, token usage) instead of traditional form fills or demo bookings. You can create this in Figma or Google Slides in 20 minutes. The content matters less than the fact that you delivered something useful.

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Touch 3 — Soft Close (Day 8)

Send this 4 days after Touch 2 if no reply.

"Hey [FirstName], I know you're swamped — I'll leave this here. Two AI marketing teams just moved their outbound from a scrappy spreadsheet to a repeatable playbook; they cut cost-per-meeting by 40% and actually know which channels drive pipeline now.\n\nIf you ever want to see the one-pager on how they did it, just reply 'AI' and I'll send it. Otherwise, keep doing what you're doing at [Company] — it's fun to watch."

Why it works:

• No begging, no fake urgency
• Clear, simple call-to-action (reply "AI")
• Credible metric (40% cost reduction)
• Classy exit ramp ("keep doing what you're doing")

A note on length: All three messages are under 100 words. On LinkedIn, especially for connection notes and follow-up DMs, anything longer gets skimmed or ignored. Be direct. Respect their time.

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Step 4: Launch the Sequence Directly from Origami

Here's where most guides fail: they tell you to export the list to a CSV, upload it to a separate sequencer (Lemlist, Expandi, Dripify), map the fields, sync the inbox, and pray nothing breaks. That's a data-integrity nightmare and a compliance risk (most LinkedIn automation tools violate LinkedIn's TOS).

With Origami, you launch the campaign right from the same dashboard where you built and refined your list. No export. No second tool. The built-in LinkedIn sequencer sends the connection request (with note) on the cadence you set, waits the delay you configured, then sends the follow-up messages automatically.

How to launch

1. Select your refined list (e.g., "Marketing Managers at AI SaaS, 50–200 employees, posted in last 30 days")
2. Click "Start Sequence"
3. Choose "LinkedIn Outreach" as the channel
4. Paste your 3-touch templates (or toggle on AI generation)
5. Set delays: Touch 1 → Touch 2 (4 days), Touch 2 → Touch 3 (4 days)
6. Set daily send limit (I recommend 25–30 connection requests per day to stay within LinkedIn's safe zone)
7. Hit "Launch"

Tracking and compliance

Once the sequence is live, you can see:

• Connection acceptance rate
• Message open rate (for InMail or messages sent after connection)
• Reply rate
• Positive reply rate (meeting booked, asset requested, etc.)

Origami shows this data right next to your list. While reviewing a contact's activity, you still have their enriched profile visible — title, company, tech stack, recent posts — so you know exactly why you reached out and can tailor your reply when they respond.

Automatic un-enrollment

If someone replies, they exit the sequence instantly. No forgetting to pause. No accidentally sending a breakup message to a warm lead who already booked a meeting. This sounds basic, but it's the number-one reason manual sequences burn leads.

Staying compliant

Origami's LinkedIn sequencer operates within LinkedIn's rate limits:

• Max 100 connection requests per week (we recommend 25/day)
• Randomized intervals between sends (no bot-like patterns)
• No mass messaging to people you're not connected to (all messages go to accepted connections)

This is not a Chrome extension scraping LinkedIn in the background. It's a proper integration that respects LinkedIn's TOS.

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What Response Rates to Expect

When I target Marketing Managers at AI companies with the segmenting and messaging above, I usually see:

• Connection acceptance rate: 40–55% (higher if you engage with their content first)
• Reply rate to Touch 2: 8–15%
• Positive reply rate (meeting booked or asset requested): 4–8%

Those numbers assume a well-refined list and non-generic copy. If you're below 3%, it's usually a targeting problem (your list isn't tight enough) or a messaging problem (the copy doesn't resonate). The fix isn't more volume; it's a better list or a slight message tweak.

When to iterate

The beauty of running everything inside Origami is that you can A/B test sequences directly. Duplicate a list, adjust the Touch 2 message, and run a small batch (20–30 people). Wait 72 hours and compare reply rates. You'll know quickly whether the message needs adjusting.

If nothing works after three iterations, refine the list:

• Switch from "Marketing Managers" to "Head of Growth" at the same companies
• Filter by a different pain signal (e.g., recent job posting for a demand gen role)
• Narrow the sub-vertical (e.g., only foundation model companies, not all AI)

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Real Example: How a Sales Tool Targeted AI Marketing Managers

One of our customers sells a pipeline attribution tool built for AI companies (tracks API usage, model calls, and product engagement instead of form fills). They used Origami to find Marketing Managers at AI SaaS companies (50–200 employees) who posted about attribution challenges in the last 60 days.

Their prompt:

"Find Marketing Managers at AI SaaS companies (US, 50–200 employees) who posted on LinkedIn about attribution, pipeline tracking, or demand gen in the last 60 days. Exclude agencies. Return emails, LinkedIn URLs, company funding stage, and tech stack."

Origami returned 93 leads. They segmented further:

• Segment 1: Active posters (28 people) — sent the 3-touch sequence above
• Segment 2: Lurkers with recent funding (41 people) — adjusted Touch 1 to reference the funding round
• Segment 3: Lurkers with no funding signal (24 people) — held back for later

Results after 2 weeks:

• Segment 1: 18 accepted (64%), 4 meetings booked (14% of accepted)
• Segment 2: 22 accepted (54%), 2 meetings booked (9% of accepted)
• Segment 3: Not sent yet

The key insight: active posters replied faster and at higher rates. They're already thinking about the problem publicly, so a relevant DM feels timely instead of intrusive.

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How Origami's LinkedIn Sequencer Compares to Standalone Tools

Most LinkedIn automation tools (Lemlist, Expandi, Dripify, Waalaxy) require you to:

1. Build your list somewhere else (Sales Navigator, ZoomInfo, Apollo)
2. Export to CSV
3. Upload to the sequencer
4. Map fields (first name, company, etc.)
5. Write messages manually or use basic merge tags
6. Hope the data stays synced

Origami collapses this into one workflow:

1. Describe your ICP in natural language → Origami builds the list
2. Refine and segment in the same view
3. Write or auto-generate the sequence (AI uses enriched data for personalization)
4. Set cadence and launch
5. Track replies, opens, and results — all without switching tabs

You're not juggling three subscriptions (Sales Navigator + ZoomInfo + sequencer). You're not exporting CSVs and re-uploading stale data. You're not manually writing 100 personalized openers. One platform, one workflow, one price.

The sequencer is included on all paid plans. You only pay for the credits used to enrich your leads; the sending engine itself is free. The free plan includes 1,000 credits, so you can run a small campaign at zero cost and see the full loop.

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Advanced Tactics: Layering Signals for Higher Reply Rates

Once you've run the basic sequence, here are three advanced tactics I use to push reply rates above 10%:

1. Filter by recent job postings

If a company just posted a role for "Demand Gen Manager" or "Marketing Ops," the current Marketing Manager is either overwhelmed or about to get help. Either way, they're thinking about processes and tools. Origami can surface companies with recent job postings in the enrichment step.

Adjusted Touch 1:

"Saw you're hiring for demand gen — congrats on the growth. I help AI marketing teams set up attribution before the new hire starts so they don't inherit a mess. Worth a quick chat?"

2. Reference tech stack changes

If someone just switched from HubSpot to a different CRM, or added a new analytics tool, they're in "evaluation mode." Origami enriches tech stack data, so you can filter for recent changes.

Adjusted Touch 2:

"I noticed [Company] recently added [Tool] to the stack. A lot of AI teams we work with run into attribution gaps when they layer on new tools — happy to share the playbook for avoiding that if it's relevant."

3. Engage with their content first

Before sending Touch 1, comment on a recent LinkedIn post they shared. Make it a real comment, not generic praise. Then send the connection request 24–48 hours later. Acceptance rates jump to 60–70% because you're not a stranger anymore.

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Related Guides

If you're prospecting into AI companies, these guides will help you refine your ICP and outreach:

• How to Find Marketing Managers at AI Companies in 2026 — The companion list-building guide
• How to Run a Cold Email Campaign for Marketing Managers at AI Companies — Email-specific tactics and scripts
• How to Find CTOs at AI Developer Productivity Companies — If you're targeting technical buyers instead of marketing
• LinkedIn Outreach Campaign for Heads of Marketing in 2026 — Broader marketing leadership playbook

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External References

For more context on LinkedIn outreach best practices and AI marketing trends:

• LinkedIn's official guidance on safe sending limits and connection request policies
• Gartner's 2025 report on AI-native B2B marketing attribution challenges (subscription required, but the summary is public)

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Ready to Launch Your First Campaign?

If you've already built the list using the parent guide, you're 10 minutes away from your first sends. Open your list in Origami, paste the sequence above (or let the agent write it), set a 3-day cadence, and launch. No export. No duct-tape integrations. Just one platform from list to reply.

Try Origami for free — 1,000 credits, no credit card. See how much faster you can go from "I need leads" to "I just got a reply."