LinkedIn Content Strategy & Writing Style
Helping Series A-C B2B GTM teams move 3x faster with AI. Positioning, content, launches for pipe & authority. Shipped. 🚅
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Matteo Tittarelli positions himself as a high-velocity GTM Engineer who bridges the gap between traditional B2B marketing strategy and advanced AI implementation. His content strategy centers on the "shipped" mindset, moving beyond generic AI prompts to showcase sophisticated Claude Skills and agentic workflows that automate ICP research, competitive intelligence, and outbound operations. He is notable for his rigorous, data-backed approach to positioning, often using unconventional signals like competitor job postings or confidence-rated research frameworks to drive pipeline authority. By blending strategic consulting with technical transparency, Matteo demonstrates an interesting intersection where he doesn't just advise Series A-C teams on growth but actively builds the automated systems and "GTM engines" that power their execution.
20.5K
16.2K
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4.3
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Come work with me. But only if you open Claude before Google. I'm hiring a Growth Marketer for my client AdvisoryAI, and I'm being very specific about who this is for. Two months ago, they had: grea…
This month, I'm coaching a Series C marketing team to build AI agents. Not "how to use ChatGPT better." How to build GTM systems. Rewind 3-4 months. I was using Claude like everyone else. Prompts…
The GTM Engineer Pulse #22 is live. Recent news • Claude Code source leaked via npm: https://lnkd.in/eTrAr3qh • Cursor ships Composer 2: https://lnkd.in/edeM2Z3d • Lovable Lisa Loops automated testin…
90% of ICP research tells you who you should target. The part that actually saves money tells you who to stop targeting. I run a 12-section ICP framework at the start of every client engagement. Sec…
Most competitor research stops at the homepage. You skim their features page. Check if there's a pricing page (there isn't). Maybe read a G2 review. Then you write a positioning doc based on vibes.…
The GTM Engineer Pulse #21 is live. Is AI brain fry real? Recent News • AI hiring hits highest point: https://lnkd.in/e5gwy3wk • Exa releases WebCode, first search eval built for coding agents https…
4.3 posts/week
Posts / Week
1.9 days
Days Between Posts
2
Total Posts Analyzed
HIGH
Posting Frequency
51.5%
Avg Engagement Rate
STABLE
Performance Trend
260
Avg Length (Words)
HIGH
Depth Level
ADVANCED
Expertise Level
0.82/10
Uniqueness Score
YES
Question Usage
0.3%
Response Rate
Writing style breakdown
<start of post>
Most GTM strategies are built on "vibes" and outdated LinkedIn screenshots.
You spend three weeks arguing about personas in a boardroom. Then you launch. Then you realize your ICP doesn't actually care about your "revolutionary" AI features.
The problem isn't your product. It's your feedback loop.
I run a 5-step "Signal Audit" for every new client. Step 3 is the one that kills the most darlings: The Negative Signal Map.
→ Job title matches but company is shrinking headcount? Negative signal.
→ Using a competitor but just signed a 3-year renewal? Negative signal.
→ High web traffic but zero clicks on technical documentation? Negative signal.
We document these as "Hard Disqualifiers" in the CRM.
One client was burning £10k a month on ads targeting "Head of Sales." We looked at the data. 90% of their successful closes were actually "RevOps Managers" fixing broken data stacks.
We flipped the targeting.
→ Cost per lead dropped by 40%
→ Sales team stopped complaining about "junk leads"
→ Pipeline velocity doubled because we stopped talking to the wrong people
I touched zero "creative" assets to get there. I just fixed the logic.
The best GTM teams don't work harder. They just have better filters.
I broke down the full Signal Audit framework in this morning's newsletter. Including the Claude prompt I use to categorize CRM data.
→ Link: https://lnkd.in/example
Subscribe to get the full system.
PS. I'm hosting a private workshop on this next Thursday. Only 10 spots. DM if you want in.
<end of post>
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