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Matteo Tittarelli

Matteo Tittarelli

LinkedIn Content Strategy & Writing Style

Helping Series A-C B2B GTM teams move 3x faster with AI. Positioning, content, launches for pipe & authority. Shipped. 🚅

United Kingdom
35 Viral ScoreView on LinkedIn

1 person tracking this creator on ViralBrain

Warm Analysis

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.

Performance Overview

Followers

20.5K

Connections

16.2K

Avg. Engagement

52

Engagement Rate

Posts/Week

4.3

Viral Score

35

Posts Analyzed

2

Top Posts by Engagement

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…

LinkedIn post image: Come work with me. But only if you open Claude before Google.
551758 viral
Growth Marketing Hiring7 months ago
View on LinkedIn

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…

691406 viral
AI Agents for GTM Marketing6 months ago
View on LinkedIn

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…

LinkedIn post image: The GTM Engineer Pulse #22 is live.
431616 viral
AI GTM Engineering6 months ago
View on LinkedIn

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…

LinkedIn post image: 90% of ICP research tells you who you should target.
352206 viral
B2B Marketing6 months ago
View on LinkedIn

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.…

LinkedIn post image: Most competitor research stops at the homepage.
30433 viral
Competitive Intelligence6 months ago
View on LinkedIn

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…

LinkedIn post image: The GTM Engineer Pulse #21 is live.
29613 viral
GTM Engineering7 months ago
View on LinkedIn

Posting Patterns & Frequency

4.3 posts/week

Posts / Week

1.9 days

Days Between Posts

2

Total Posts Analyzed

HIGH

Posting Frequency

Timezone: Europe/London

Best Performing Days

ThursdaySundayMonday

Best Performing Times To Post

10:00–12:0012:00–14:30

Topics & Content Focus

Primary Topics

Applied AI for B2B GTM systems (agents, skills, automation) with an operator-first lensContext engineering as the bottleneck in AI-driven outbound/prospecting (reducing tool sprawl, making AI usable fast)ICP strategy as a cost-control lever (negative ICP, disqualification, confidence-rated research)Creator-led distribution loops for GTM Engineers (newsletter drops, skills, podcast seasons, curated ecosystem intel)

Secondary Themes

Outbound workflow design (lead scoring, triggers, email drafting/approval loops)AI tooling ecosystem monitoring (Claude Code, Cursor, Slack/agentification, prospecting tools)Enablement/coaching narratives for in-house teams (Series C+ marketing orgs)Credibility mechanics (frameworks, sourcing, win/loss analysis, “no hallucinations” positioning)

Industry Focus

B2B SaaS go-to-market teams (Marketing Ops, RevOps, Growth, Demand Gen)Applied AI / GTM Engineering category builders and tool buyersMid-market to enterprise marketing orgs (e.g., Series C teams) adopting AI for execution velocity

Content Categories

Implementation playbooks and system breakdownsFramework-led strategy posts (methodologies, sections, criteria)Tool-led case narratives (problem → setup → results)Curated industry pulse (news, jobs, people-to-follow, resources)Audience capture/promotions (newsletter, podcast, product try)

Performance Insights

51.5%

Avg Engagement Rate

STABLE

Performance Trend

Best Performing Topics

Building AI agents and GTM systems (hands-on, behind-the-scenes capability building)ICP rigor that changes sales behavior (negative ICP + confidence-rated research)Curated GTM engineering ecosystem intel (pulse/news/jobs/people)

Virality Signals

Contrarian framing that invites debate (negative ICP, operator accountability)Proof-of-work specificity (counts, timelines, integrations) that increases trust and saves readers timeCuration posts as shareable reference hubs (links, jobs, follow lists)Named tool/product mentions that trigger network cross-pollination

Structure & Quality

260

Avg Length (Words)

HIGH

Depth Level

ADVANCED

Expertise Level

0.82/10

Uniqueness Score

Common Hooks

Direct diagnosis + accountability hook (blame the operator, not the AI/tool)Contrarian reframes (e.g., “the part that saves money is who to stop targeting”)Not-this-but-that positioning (“Not how to use ChatGPT better. How to build GTM systems.”)Tease/announcement hooks for serialized content (podcast season, upcoming drop)Curator headline hook (pulse/news roundup as a single destination post)

Common Endings

Single-action CTA to subscribe/download (newsletter/skill/podcast link)Soft postscript that humanizes or builds anticipation (PS lines)Tool trial recommendation tied to a pain point (“give X a try if you’re tired of…”)

Value Delivery Methods

Actionable frameworks (multi-section ICP methodology, negative ICP emphasis)Operational checklists (context inputs, triggers, review loops)Credibility via constraints (confidence ratings, documented data gaps, anti-hallucination stance)Execution narratives with measurable outputs (time-to-value, pipeline outcomes)High-signal curation (news + jobs + people + resources in one post)

Formatting Style

Short paragraphs with deliberate whitespace for scanningArrow bullets for process/results and “what you get” listsSectioned breakdowns (setup → inputs → outputs → results)Concrete specificity (time-to-value, counts of skills/agents, named tools/integrations)

Audience & Tone

YES

Question Usage

0.3%

Response Rate

Detected Tone

Smart-casual practitioner-expertDirect and slightly provocative (accountability + contrarian takes)System-builder mindset (process over hype)Teacher-operator hybrid (coaching + doing)Tool-literate, ecosystem-nativesemi-formalfirst-person

Interaction Style

Practitioner-to-practitioner discussion (tactics, tools, implementation edge cases)Framework critique/extension (readers compare their ICP/GTM process to the model)Resource-seeking behavior (requests for links, skills, newsletter editions)Tool evaluation chatter (ecosystem comparisons and adoption concerns)

Community Building Signals

Recurring newsletter franchise (Pulse + weekly Skills) that trains habit and expectationPodcast as a second content pillar (season-based anticipation loop)Identity-based community signaling (“GTM Engineer” role/category reinforcement)Network knitting via ‘people to follow’ and jobs sections

Writing Style Patterns

Content Strategy

Hook: Direct diagnosis + accountability hook (blame the operator, Tone: semi-formalCTA: Direct link CTA (subscribe/read full edition)

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.

Here's what it looks like

→ 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.

By end of month 1

→ 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>

1. OVERALL WRITING STYLE & VOICE
1. The Hook: A provocative question or a blunt statement about a common industry failure.
2. STRUCTURAL FLOW & LOGICAL PROGRESSION

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