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Michele Torti teaches AI agency owners how to land their first paid client by positioning voice AI as a business solution, not a tech toy. His distinctive move is the aggressive problem-solution format (63% of posts) paired with bold statement hooks that create urgency through contrarian claims and social proof, then funneling readers into gated content via comment CTAs.
9.3/wk
23 posts in 30d
129
avg per post
56.1%
comments / total
0.5%
reposts / total
problem-solution
Mon · 10 AM CET
Direct, slightly provocative, and unapologetically transactional. Torti writes like he's correcting a misconception you didn't know you had. He uses short declarative sentences ("It's not.", "That is too vague.", "Which is why they win.") and pairs vulnerability with authority, often admitting what "most people" get wrong before positioning himself as the exception. The tone feels like a mentor who's impatient with busywork and obsessed with results.
Their highest-engagement posts, broken down line by line. Steal the structure.
Voice AI is one of the biggest opportunities in the AI space right now… 99% of AI agency owners are doing it completely wrong. Everyone is sleeping on this. The demand is exploding. The supply is tiny. And the few who get it… are scaling stupid fast. Like Matthew Who went from 0 → $15K/month selling voice AI agents Without ANY technical background. We broke down EVERYTHING he did Inside a 2-hour masterclass that's honestly ridiculous. Here’s what you’ll learn inside: → How to get “dangerous enough” with Retell, Vapi, and n8n in weeks → The 3 voice agent offers with the highest close rate → A lead gen system that actually gets replies in 2026 → A simple sales framework that turns voice agents into ROI → Delivery systems that don’t break the moment you scale Everything you need to know to understand and start offering voice AI agents. 90% of people are building voice agents like tech toys. The top 10% are building them like business systems. That’s why they win. If you want the full breakdown 1. Make sure we are connected 2. Comment "VOICE" and I’ll send it your way.
Opens with a bold opportunity claim ('Voice AI is one of the biggest opportunities') that feels timely and validates the reader's interest, then immediately destabilizes them with '99% of AI agency owners are doing it completely wrong,' creating cognitive dissonance that forces continued reading.
Hook + contrarian claim, then a short 3-line proof statement (demand exploding, supply tiny, few are scaling fast), then a named case study (Matthew, 0 → $15K/month), then a bulleted breakdown of what's inside the masterclass (5 specific learnings), then a reframe (90% building like toys, 10% like systems), then a two-step CTA (connect + comment VOICE).
Two-step CTA (make sure we're connected, then comment VOICE) drives high comment engagement (933 comments) because it's low-friction, creates a sense of exclusivity (gated content), and the comment requirement surfaces the post to more people's feeds.
Use a named case study with a specific metric and a disqualifying detail (no technical background) to make your proof feel both credible and accessible, then gate the full breakdown behind a comment to maximize engagement.
One of my clients just closed a $2500 Voice AI deal. Not from ads. Not from “going viral.” Not from 10 certifications. He built an inbound AI receptionist. Positioned himself properly. & closed the deal. Whereas I’ve seen people spend 6 months learning tools and make $0. The…
Leads with a specific dollar amount ($2500) and a concrete deliverable (Voice AI deal), then immediately negates three common paths to success (ads, virality, certifications), forcing the reader to wonder what the actual path was. The specificity of the dollar amount makes it feel real and replicable.
Hook with dollar amount, then three negations (not from X, not from Y, not from Z), then a short explanation of what actually happened (built inbound receptionist, positioned properly, closed deal), then a contrast (people spend 6 months learning, make $0), then a reframe section explaining why voice AI works (4 bullet points of operational value), then a section on what beginners get wrong (too vague positioning), then a breakdown of what's in the full recording (3 specific learnings + the deal structure), then a two-step CTA.
Same two-step CTA (connect + comment VOICE) but the post emphasizes commitment ('If you're committed to starting an AI agency') to self-select for serious readers, which likely increases comment quality and conversion.
Lead with a specific dollar amount, then use negation to dismantle what readers think they know, then teach positioning by contrasting vague language with specific language, making the reader feel like they've been corrected rather than lectured.
If you want to start an AI automation agency in 2026 Then keep reading ❌ Stop learning more tools. ❌ Start learning how to get clients. Because every day I talk to beginners who are stuck in the same loop: → watching tutorials → learning new tools → building random systems → no…
Opens with a conditional commitment ('If you want to start an AI automation agency in 2026') that self-selects for the right audience, then immediately offers a reframe ('Stop learning more tools. Start learning how to get clients.') that feels like insider knowledge and creates urgency by implying the reader is currently wasting time.
Hook + reframe, then a description of the beginner loop (watching tutorials → learning tools → building systems → no clients → no momentum), then a claim that it's not the beginner's fault but a learning problem, then an authority move (6-figure agency owner breakdown), then a numbered list of 4 key learnings (why tutorials kill progress, learning vs doing, value-based pricing, warm network outreach), then a benefit statement (save months of trial and error), then a two-step CTA.
Two-step CTA (connect + comment AAA) with a benefit statement ('this video will save you MONTHS of trial and error') that emphasizes time savings, which is a high-value promise for busy entrepreneurs.
Use a numbered list of specific, actionable learnings (not vague concepts) and pair it with a time-savings promise in the CTA, which appeals to the reader's scarcity mindset and drives comments from people who feel urgently behind.
Torti's two-step CTAs (connect + comment a keyword) are engineered for comments. The comment requirement creates a visible action that surfaces the post to more feeds, and the gated content (masterclass, video, breakdown) creates FOMO. Additionally, his posts correct reader assumptions ("Stop learning tools. Start learning how to get clients."), which makes readers feel like they've been let in on a secret and want to engage to confirm they're on the right path.
Reposts are extremely low (0.5% repost rate), suggesting Torti optimizes for direct engagement and lead capture, not virality. His content is too specific to his niche (AI agency owners) and too transactional (gated behind CTAs) to encourage sharing. The few reposts likely come from people already in his ecosystem who want to share the resource with peers.
Low. Torti's posts are designed for immediate action (comment to get the breakdown), not for long-term reference. Readers are incentivized to engage now, not save for later. The gated content model means the post itself is a teaser, not the full resource, so there's no reason to save it once you've commented.
Teaches how to position and sell voice AI agents (specifically AI receptionists) as high-ticket solutions that solve real operational problems like call handling and lead qualification, not as tech toys.
Breaks down the step-by-step system to go from zero to first paying client, emphasizing warm network outreach, positioning, and clarity over tool mastery.
Corrects common beginner mistakes (learning too many tools, chasing trends, guessing strategies) and reframes what actually matters: doing over learning, clarity over skill, systems over randomness.
Positions LinkedIn not as a content platform but as a lead generation and sales machine, teaching how to structure posts to attract ideal clients and filter out tire-kickers.
[Topic] is one of the biggest opportunities in [space] right now. [Contrarian claim about who's doing it wrong].
“Voice AI is one of the biggest opportunities in the AI space right now… 99% of AI agency owners are doing it completely wrong.”
→ Opens with validation (opportunity exists) then immediately creates cognitive dissonance (but you're probably doing it wrong), forcing the reader to keep reading to understand the gap.
One of my clients just [specific result: dollar amount or metric]. Not from [common misconception]. [They did this instead].
“One of my clients just closed a $2500 Voice AI deal. Not from ads. Not from 'going viral.' Not from 10 certifications.”
→ Anchors credibility with a concrete number, then uses negation to dismantle reader assumptions about what it takes, creating curiosity about the actual method.
If you want to [goal] in [timeframe]. Then keep reading. [Negation of what NOT to do].
“If you want to start an AI automation agency in 2026. Then keep reading. ❌ Stop learning more tools. ❌ Start learning how to get clients.”
→ Self-selects for committed readers while immediately offering a reframe that feels like insider knowledge, making the reader feel like they're being let in on a secret.
I [achieved specific result]. Meanwhile, most [target audience] [fail at same thing]. Not because [surface reason]. But because [real reason].
“I scaled my AI agency from $0 to $100K in 12 months. Meanwhile, most agency owners can't make their first $10k. Not because they're not technical. But because they don't have a roadmap.”
→ Uses the creator's success as proof while reframing the reader's potential failure as a systems problem, not a capability problem, which feels solvable.
If you've already decided to [commitment]. This is the part most people get wrong. [Misconception about what matters]. It's not. [What actually matters].
“If you've already decided to start an AI agency. This is the part most people get wrong. They think LinkedIn is about: posting consistently, sounding smart, growing followers. It's not.”
→ Validates the reader's decision, then immediately creates doubt about their approach, positioning the post as a course correction that feels urgent.
[High percentage] of [target audience] are [doing something wrong]. Everyone is sleeping on this.
“90% of people are building voice agents like tech toys. The top 10% are building them like business systems.”
→ Creates an in-group/out-group dynamic and implies the reader could be in the 10% if they keep reading, triggering status anxiety.
“Voice AI is one of the biggest opportunities in the AI space right now…”
→ The post uses a high-friction 'comment to receive' CTA which drives massive engagement signals to the algorithm, while leveraging a zero-to-hero case study to build immediate social proof.
“One of my clients just closed a $2500 Voice AI deal.”
“If you want to start an AI automation agency in 2026”
→ The post uses a 'comment-to-receive' lead magnet strategy which artificially inflates engagement metrics, while the copy effectively agitates the 'tutorial hell' pain point common among beginners.
“I scaled my AI agency from $0 to $100K in 12 months.”
→ The post uses a high-authority financial milestone ($100K) to build trust and leverages a 'comment-to-receive' CTA which triggers the LinkedIn algorithm through high comment volume.
“If you’ve already decided to start an AI agency.”
→ The post uses high-authority social proof ($100K+ agency) and a 'comment-to-receive' CTA to drive high engagement and lead qualification simultaneously.
“If I were to start an AI automation agency in 2026”
→ The post uses a 'future-proof' hook and high-authority social proof (100+ owners, $100K scale) to create FOMO, then leverages a low-friction 'Comment' CTA to maximize lead generation.
“If you’re building an AI agency alongside a job,”
→ The post addresses a specific pain point for part-time entrepreneurs and offers a high-value automated solution in exchange for a low-friction comment, driving high engagement and lead generation.
“I just recorded a Claude Code Masterclass for people entering the AI automation space.”
→ The post creates a knowledge gap by contrasting learning the tool vs. knowing what to build, then positions a free masterclass as the bridge — the numbered module breakdown adds perceived value and st
“One of the reasons why AI agency owners are stuck between $2k - $5k”
→ The post uses a high-friction 'comment-to-receive' CTA which drives massive engagement signals to the LinkedIn algorithm. It leverages a specific pain point (stagnant revenue) and offers a proven fram

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Hook templates, content calendar, posting cadence, and the exact frameworks they use - delivered to your inbox.
Torti posts 9.3 times per week (roughly 1-2 per day), maintaining constant visibility and feed presence. He posted 23 times in the last 30 days, showing consistency even as he scales.
Monday at 9 AM UTC performs best, likely because it catches professionals checking LinkedIn at the start of the work week when they're most receptive to business-focused content.
Long-form posts (180-350 words) dominate his mix at 61% of posts and average 128 engagement, which is slightly below his overall average. However, his top 5 posts are all long-form, suggesting that length allows him to build the narrative tension and proof statements that drive comments. Medium-length posts (80-180 words) average 136 engagement, but they're only 31% of his mix, implying he prioritizes depth over brevity.
avg 144 engagements per post
avg 43 engagements per post
avg 236 engagements per post
Torti's 63% problem-solution format works because his audience is action-oriented and results-driven. They don't want stories or inspiration; they want a diagnosis and a prescription. The 15% story format (averaging only 43 engagement) is his weakest pillar, suggesting his audience doesn't respond to narrative-driven content. The 5% numbered list format (averaging 236 engagement, his highest) shows that when he does use structure, it resonates deeply. This mix reflects an audience that values clarity and systems over personality and vulnerability.