AI Playbook

Rebuild Your LinkedIn Positioning in 60 Minutes: LLM Prompt Templates for Technical Founders

Feb 2026 · 18 min read · By Lukas Timm

Your LinkedIn headline says "CEO at [Company Name]." Your About section is a paragraph you wrote 3 years ago. Your last post was a company announcement that got 12 impressions. Meanwhile, your competitor with an objectively worse product is getting inbound from enterprise buyers because their founder actually sounds like someone worth talking to.

The difference isn't talent. It's positioning. And you can fix yours in 60 minutes with the right prompts.

This guide gives you exactly what it says: six copy-paste prompt templates you can run through Claude, ChatGPT, or any capable LLM to completely rebuild your LinkedIn presence. No marketing jargon. No vague advice about "building your personal brand." Just a sequential prompt chain that takes you from a generic profile to one that actually attracts the buyers you want to talk to.

I built these prompts after running positioning exercises for 15+ B2B tech founders — mostly in robotics, ADAS, autonomous systems, and physical AI. The founders who went through this process consistently saw measurable changes in inbound quality within 30-60 days. Same product. Same network. Different words.

Overview diagram of the 6-step LLM prompt chain for LinkedIn positioning, showing the sequential flow from unique insight extraction through content pillars

Why Positioning Is the Highest-Leverage Activity for Technical Founders

Before we get into the prompts, you need to understand why this matters more than anything else you could spend an hour on today.

One client went from "AI-powered fleet management" — which describes roughly 200 companies — to a specific claim around their unique data advantage: the fact that they had 4 billion miles of real-world driving data that no competitor could replicate. Inbound doubled in 60 days. Same product. Same team. Different words on their LinkedIn profile and in their posts.

That's what positioning does. It doesn't change what you build. It changes whether the right people understand why they should care.

Why Engineers Struggle With Positioning

If you're a technical founder, you almost certainly have a positioning problem. Not because you're bad at communication — but because you're too close to the technology.

Engineers describe how things work. Buyers care about why things matter. When you say "we use transformer-based architectures with multi-modal sensor fusion for real-time perception," you're describing the mechanism. What your buyer hears is noise. What they need to hear is "we cut autonomous vehicle development time by 6 months because our perception stack works out of the box with any sensor configuration."

This is the fundamental translation problem. You know your technology at a depth that makes it hard to zoom out and describe it from the buyer's perspective. You default to technical specificity because that's how you think. But your VP of Engineering buyer doesn't evaluate you on architectural elegance — they evaluate you on whether you solve their problem faster, cheaper, or more reliably than the alternative.

The 4-Question Framework

Every positioning exercise comes down to four questions. If you can answer these clearly, you can build everything else — headline, About section, content pillars, post hooks — from these answers:

  1. What do you build? Not the technology. The outcome. What does the world look like after someone uses your product?
  2. Who cares? Not "everyone in automotive." The specific person with the specific pain who would pay you money this quarter.
  3. Why now? What changed in the market, technology, or regulation that makes your solution timely? Why couldn't this company have existed 3 years ago?
  4. What proof? What evidence do you have that this works? Customers, metrics, background, patents, data advantages — anything that makes your claim credible rather than aspirational.

The six prompts below are designed to force these answers out of you and then translate them into LinkedIn-ready positioning. Let's go.

The 6-Step LLM Prompt Chain

This is a sequential chain. Each prompt builds on the output of the previous one. Don't skip steps. Don't try to combine them. Run them one at a time, review the output, refine if needed, then move to the next step. The whole chain takes about 60 minutes.

You can use Claude, ChatGPT, Gemini, or any capable LLM. The prompts are model-agnostic. I recommend starting a fresh conversation for this — don't dump these into a thread that already has 50 messages of context.

Visual flow diagram showing the 6 prompt steps in sequence with estimated time for each step, from unique insight extraction at 10 minutes through content pillars at 10 minutes

Step 1: Extract Your Unique Insight (10 min)

The goal of this first prompt is to force the LLM to identify the single most compelling thing about your company — the insight that only you can credibly claim. Most founders have never articulated this clearly because they're too deep in the daily work of building.

Copy and paste this prompt, filling in the bracketed sections with your specifics:

I'm the founder/CEO of [company]. We build [what you build] for [who].

Here's what makes us different from competitors:
- [Unique technical approach]
- [Unique data advantage]
- [Unique market insight]

Our ideal customer is: [describe them - title, company size, industry]
They currently solve this problem by: [current alternative - manual process, competitor, internal tool]
The biggest pain point with the current approach is: [specific pain - cost, time, accuracy, reliability]

Based on this, identify:
1. My single most compelling unique insight (the thing only I can credibly claim)
2. The "why now" angle (why this matters more today than 2 years ago)
3. The language my buyer would use to describe their problem (not my technical terminology)
4. A one-sentence positioning statement that a VP of Engineering would immediately understand
5. The #1 objection a buyer would have, and the most credible counter-argument

How to use the output: Read the five items the LLM generates. If the unique insight feels generic ("we use AI to..."), your inputs weren't specific enough. Go back and add more detail about what actually makes you different. The more specific your inputs, the sharper the output. Don't settle until the insight feels like something your competitor genuinely cannot say.

Pro tip: If you struggle to fill in the "what makes us different" section, that's a signal. You might not have a positioning problem — you might have a differentiation problem. That's a harder issue, but better to discover it now than after you've spent 6 months posting content that doesn't convert.

Step 2: Identify Buyer Language (10 min)

This is the step most founders skip. And it's the step that matters most for LinkedIn specifically. Your buyers don't search for or respond to your internal technical vocabulary. They think in terms of their problems, their KPIs, their boss's priorities.

This prompt takes your technical features and translates them into the language your buyer actually uses:

I'm building positioning for a B2B tech company. My buyer is [title, e.g., VP of Engineering] at [company type, e.g., automotive OEMs with 500+ engineers].

Here's how I currently describe what we do:
"[Current positioning/tagline]"

The problem: I'm using engineering language, not buyer language.

Help me translate. For each of these technical features:
1. [Feature 1, e.g., "Real-time multi-sensor fusion with sub-10ms latency"]
2. [Feature 2, e.g., "Pre-trained perception models on 4B miles of driving data"]
3. [Feature 3, e.g., "Hardware-agnostic deployment across any sensor configuration"]

Rewrite each as:
- The business outcome it enables (what changes in the buyer's world)
- The pain it eliminates (what they stop dealing with)
- A one-sentence "so what" that a non-technical VP would understand

Then:
- Suggest 5 alternative ways to describe what we do using ONLY buyer language (no technical terms)
- List 10 phrases my buyer would type into Google or LinkedIn when looking for a solution like ours
- Identify the emotional driver behind this purchase (what does the buyer fear if they don't solve this?)

How to use the output: The "so what" lines are gold. Those are the phrases you'll weave into your headline, About section, and posts. The Google/LinkedIn search phrases tell you what keywords to include in your profile so you show up when buyers are actively looking. The emotional driver is what makes your content resonate at a gut level, not just an intellectual one.

Common mistake: Founders read the buyer-language translations and think they're "dumbed down." They're not. They're translated. Your buyer is smart — they just think in different terms than you do. A VP of Engineering at a Tier 1 supplier doesn't need to know your model architecture. They need to know whether you'll save them 6 months and $2M on their next program.

Step 3: Rewrite Your LinkedIn Headline (5 min)

Your headline is the single most important line on your LinkedIn profile. It appears in search results, in comment threads, next to your posts, and in connection request previews. Most technical founders waste it on "CEO at [Company]" — which tells the viewer nothing about why they should care.

The formula: [What you do] for [who] | [credibility signal]

Here's the prompt:

Using the unique insight and buyer language from our previous conversation, write 10 LinkedIn headline options for me.

My current headline: "[Your current headline]"

Requirements:
- Maximum 120 characters (LinkedIn's headline limit)
- Follow this formula: [What you do] for [who] | [credibility signal]
- Use buyer language, not technical jargon
- Include a specific outcome or metric where possible
- The headline should make a VP of Engineering stop and think "I need to talk to this person"
- No buzzwords: do not use "innovative," "cutting-edge," "revolutionary," "leverage," or "synergy"

For each headline, explain:
- Why it would resonate with my target buyer
- What curiosity it creates
- What credibility signal it sends

Then rank the 10 from strongest to weakest and explain your ranking.

Before and after examples from actual positioning exercises with physical AI and deep tech founders:

Notice the pattern. Every "after" headline answers three questions instantly: what do they do, who do they do it for, and why should I believe them? The "before" headlines answer zero of those questions. That's the difference between a profile that generates inbound and one that doesn't.

Side-by-side comparison of five LinkedIn headline transformations for technical founders, showing the before state of generic CEO titles versus the after state with specific value propositions and credibility signals

Step 4: Rewrite Your About Section (15 min)

Your About section is where interested buyers go to confirm their initial impression. If your headline made them curious, the About section needs to close the loop: confirm what you do, prove you're credible, and tell them what to do next.

Most About sections fail because they're either a resume (nobody cares about your career chronology) or a company pitch (that belongs on your website). Your About section should read like the best 60-second explanation you'd give at a conference when someone asks "what does your company do?"

Here's the prompt. It generates a 4-paragraph structure that consistently outperforms other formats:

Write a LinkedIn About section for me using this structure. Use the unique insight, buyer language, and positioning from our previous conversation.

PARAGRAPH 1 - THE HOOK (2-3 sentences)
Start with the problem I'm obsessed with. Not my company. Not my background. The problem.
Make it specific enough that my target buyer reads it and thinks "that's exactly what I'm dealing with."
Frame it as a tension or contradiction in the industry that hasn't been resolved.

PARAGRAPH 2 - WHAT WE BUILD AND WHY IT'S DIFFERENT (3-4 sentences)
Describe what my company does in buyer language.
Explain what makes our approach fundamentally different (not incrementally better).
Include one specific technical detail that signals depth without being jargon-heavy.
End with the core outcome: what changes in the buyer's world when they use our product.

PARAGRAPH 3 - PROOF (3-4 sentences)
Include these credibility signals (use only the ones that are true):
- Number of customers or users: [X]
- Specific metrics or results: [X]
- Notable customers or logos (if shareable): [X]
- Relevant background or expertise: [X]
- Funding, accelerator, or notable investors: [X]
- Data advantages or moats: [X]
Weave these into a narrative, not a bullet list. The proof should feel earned, not boastful.

PARAGRAPH 4 - CTA (1-2 sentences)
Tell the reader exactly what to do next. Be specific:
- "If you're a [title] at a [company type] dealing with [problem], let's talk."
- Include how to reach you (DM, email, link to booking page).

Constraints:
- Maximum 2,000 characters (LinkedIn's About section limit)
- No buzzwords or marketing jargon
- Write in first person
- Tone: direct, confident, engineer-to-engineer
- Every sentence must earn its place. If a sentence could be deleted without losing meaning, delete it.

How to use the output: The LLM will give you a solid first draft. But don't paste it directly. Read it out loud. Does it sound like you? If it sounds like a marketing agency wrote it, it will read that way to your buyers too. Edit it until it sounds like how you'd actually explain your company to a smart person over coffee. That's the voice that converts.

Iteration tip: After getting the first output, follow up with this refinement prompt: "This is too polished. Rewrite it as if I'm explaining this to a fellow engineer at a conference. More direct. Shorter sentences. Cut any phrase that sounds like it came from a press release." This almost always produces a better second draft.

Step 5: Generate 10 Hook Variants (10 min)

Your positioning is only useful if people see your content. And on LinkedIn, the first two lines of your post determine whether anyone reads the rest. Those first two lines — the hook — are what shows up in the feed before the "...see more" truncation. If the hook doesn't create curiosity, your post dies.

This prompt generates hooks using patterns we've validated across 150+ posts. These formulas consistently outperform generic openings by 3-5x on engagement rate:

I need 10 LinkedIn post hook variants for my company. We [one-sentence description of what you do from the positioning work above] for [target buyer].

Use these proven hook formulas:
1. "Most [industry] companies waste [X months/dollars] on [broken process]. Here's why:"
2. "[Counterintuitive claim that challenges conventional wisdom]. Here's what the data shows:"
3. "I've watched [X] companies try to [common goal]. The ones that succeeded all did this one thing differently:"
4. "Your [buyer's current approach] is costing you [specific amount]. And you probably don't even know it."
5. "The [X]-month enterprise sales cycle isn't your bottleneck. This is:"
6. "We analyzed [X data points] from [source]. The pattern nobody talks about:"
7. "Stop building [common technical approach]. Start building [better alternative]. Here's the difference:"
8. "Cold emailing [buyer type]? You're already in the spam folder. Do this instead:"
9. "[Specific number] companies switched from [old approach] to [new approach] last year. The results:"
10. "The real reason [common industry problem] hasn't been solved isn't technology. It's [actual root cause]."

Requirements for each hook:
- Maximum 2 lines (must fit above LinkedIn's "see more" fold)
- Specific to my industry and buyer (no generic business advice)
- Creates genuine curiosity (the reader needs to know the answer)
- Grounded in a real insight (not clickbait that disappoints)
- No exclamation marks

For each hook, also suggest a 2-sentence post outline (what the rest of the post would cover) so I can immediately turn any hook into a full post.

How to use the output: Pick your 3 favorite hooks and write full posts from them this week. Pay attention to which hook style generates the most engagement for your specific audience. Over time, you'll discover that 2-3 of these formulas consistently outperform the others for your niche. Double down on those.

What makes a hook work: The best hooks create an information gap. The reader feels like they're missing something important and can only get it by reading the post. "Most ADAS teams spend 60% of their validation budget on scenarios that will never happen in production" — if you're an ADAS team lead, you have to click. You need to know if you're one of those teams.

Step 6: Create Your Content Pillars (10 min)

The final step is building the system that sustains your positioning over time. A great headline and About section get you noticed. Content pillars keep you top of mind. Without pillars, you'll run out of post ideas in 2 weeks and fall back to sharing company announcements.

This prompt generates 3 content pillars using the 40/40/20 formula that we've validated across 15+ B2B tech companies:

Based on the positioning and buyer insights from our conversation, create 3 content pillars for my LinkedIn presence.

Structure them using the 40/40/20 framework:

PILLAR 1: INDUSTRY TRUTHS (40% of content)
Purpose: Expose broken patterns, name the elephants in the room, challenge conventional wisdom in [my industry].
These posts build authority by showing I understand the buyer's world better than they expect.
Generate 5 specific post ideas for this pillar. Each should:
- Name a specific industry problem or contradiction
- Be something I can credibly speak about based on my experience
- Challenge something the audience currently believes or accepts
- Be controversial enough to generate comments, but grounded enough to be defensible

PILLAR 2: DEEP TECH DECONSTRUCTION (40% of content)
Purpose: Take complex technical concepts and explain them in a way that a smart non-specialist can follow.
These posts demonstrate genuine depth and attract technical buyers who value substance.
Generate 5 specific post ideas for this pillar. Each should:
- Break down a technical concept relevant to my buyer's decisions
- Include a specific insight that comes from building, not reading
- Be educational without being condescending
- Position me as the person who actually understands this at a build-level

PILLAR 3: FRAMEWORK TEACHING (20% of content)
Purpose: Give the audience reusable mental models, decision frameworks, and evaluation criteria.
These posts get saved and shared and have the longest shelf life.
Generate 5 specific post ideas for this pillar. Each should:
- Provide a reusable framework or mental model
- Help the buyer make a better decision (even if they don't buy from me)
- Be specific enough to act on immediately
- Position me as a trusted advisor, not just a vendor

For each post idea, include:
- A working title
- A 2-sentence description of the core argument
- The hook formula from Step 5 that would work best for this post
- The expected format (text-only, carousel, or image + text)

How to use the output: This gives you 15 post ideas across 3 pillars. That's roughly a month of content at 3-4 posts per week. More importantly, it gives you a system. When you sit down to write next week, you don't face a blank page. You pick a pillar, pick an idea, apply a hook formula, and write. That's the difference between founders who post consistently and founders who abandon LinkedIn after 2 weeks.

Maintaining the pillars: Every month, review which pillar generated the most engagement and pipeline. If Industry Truths consistently outperform Framework Teaching for your audience, shift the ratio to 50/30/20. Let the data guide you. The 40/40/20 is a starting point, not a permanent split.

These prompts get you 80% there. The last 20% is pattern recognition.

After running positioning for 15+ B2B tech founders, we've built 150+ validated patterns for what converts on LinkedIn — across robotics, ADAS, autonomous systems, and physical AI. Want us to apply those patterns to your positioning? Book a positioning session.

Book a Positioning Session

Common Mistakes When Using LLMs for Positioning

These prompts will give you dramatically better positioning than what you have now. But there are failure modes. I've seen all of them. Here's how to avoid them.

Mistake 1: Accepting the First Output

The first output from any LLM prompt is a starting point, not a final answer. It's like a first draft from a junior copywriter — the structure is usually right, but the specificity and voice need work. Always iterate at least 2-3 times.

After each output, ask yourself: "Is this specific to me, or could any company in my space say this?" If a competitor could swap their name into your positioning and it would still make sense, it's not specific enough. Go back and add more detail about what makes you genuinely different.

Useful follow-up prompts for iteration:

Mistake 2: Using Generic Prompts

"Write me a LinkedIn headline" will give you a generic headline. "Write me a LinkedIn headline for a founder whose company's unique data advantage is 4 billion miles of real-world driving data, targeting VP of Engineering at OEMs who are frustrated with 18-month perception stack development cycles" will give you something sharp.

Specificity in = specificity out. This is the single biggest lever in LLM prompt quality, and it applies to every step in this chain. The more detail you feed into the bracketed sections, the better the output. If you're getting bland results, the problem is almost always insufficient input detail, not the prompt structure.

Mistake 3: Letting the LLM Use Marketing Jargon

LLMs have been trained on millions of marketing pages. Their default is corporate speak. You need to actively fight this. If you see any of these words in the output, delete them immediately and ask for a rewrite:

A useful constraint prompt: "Rewrite this entire section. You are banned from using any word that would appear in a corporate press release. Write it as if you're explaining this to a skeptical engineer at a bar."

Mistake 4: Not Feeding in Competitor Context

Positioning is relative. You're not positioning in a vacuum — you're positioning against alternatives. If you don't tell the LLM about your competitors and their positioning, it can't help you differentiate.

Before running the prompt chain, spend 10 minutes pulling the LinkedIn headlines and About sections of your top 3 competitors' founders. Feed those into Step 1 as additional context: "Here's how my three closest competitors position themselves: [paste]. My positioning needs to be clearly distinct from all three."

This single addition often produces the biggest improvement in output quality. The LLM can now identify the white space — the positioning angles your competitors aren't claiming — and steer you toward them.

Mistake 5: Skipping the Buyer Language Step

Step 2 (Identify Buyer Language) is the step founders are most tempted to skip. "I already know how my buyers talk," they say. You probably don't. Or more precisely, you know how they talk to you — but not how they talk to each other when you're not in the room.

The buyer language step is where the magic happens. It's the difference between "multi-modal sensor fusion" (your language) and "our perception stack works with any sensor you're already using" (their language). The first sounds impressive to you. The second sounds like a solution to them. Skip this step and your entire positioning will be technically accurate but commercially invisible.

Visual summary of the five common mistakes when using LLMs for positioning, showing each mistake with its fix and an example of the wrong versus right approach

The Before/After That Changes Everything

Theory is helpful. A real example is better. Here's a complete before/after transformation from a physical AI company founder we worked with. Details are anonymized, but the structure and results are real.

The Before State

Headline: "CEO & Co-Founder at PerceptAI"

About section: "PerceptAI is building advanced computer vision solutions for industrial applications. With over 15 years of experience in machine learning and robotics, I lead a team of 30 engineers developing state-of-the-art perception algorithms. Previously at Google and MIT. We are backed by top-tier VCs and are hiring."

Typical post: "Excited to announce that PerceptAI has closed our Series A! Thank you to our investors, team, and customers for believing in our vision. We're hiring across all roles — check out our careers page! #AI #ComputerVision #Startup"

Results: ~200 impressions per post. Zero inbound from LinkedIn. All pipeline came from warm intros and conferences.

The After State

Headline: "Replacing $3M/year manual quality inspection with computer vision that catches defects humans miss | 8 factories live"

About section: "Manufacturing quality inspection is broken. Companies spend $3-5M per year on human inspectors who catch 85% of defects on a good day and 60% when they're tired. The 15-40% that slip through become warranty claims, recalls, and reputation damage. This is the problem I've spent the last 4 years solving. PerceptAI builds computer vision systems specifically for manufacturing quality inspection. Not generic object detection retrained on factory images — purpose-built models that understand manufacturing defect taxonomy at a level human inspectors can't match. Our system catches 99.7% of defects at line speed, including micro-fractures and coating inconsistencies that are invisible to the human eye. We're live in 8 factories across automotive and electronics manufacturing. Our customers report 60-80% reduction in escaped defects and full ROI within 9 months. Before PerceptAI, I spent 6 years at Google working on visual inspection systems for data center hardware — that's where I learned that the hard part isn't the model, it's deploying it in environments where lighting changes every hour and production lines never stop. If you run QA for a manufacturing operation and your escaped defect rate keeps you up at night, send me a message. I'll show you what 99.7% detection looks like on your actual product line."

Typical post: "Your quality inspectors catch roughly 85% of defects. On a good day. After lunch, when the lighting shifts, or during overtime shifts, that number drops to 60-65%. We know because we measured it across 8 factories before deploying our system. The 15-40% that slip through aren't minor cosmetic issues. They're the warranty claims 6 months from now. They're the batch recall that costs more than your entire QA budget. Here's what nobody in manufacturing wants to admit: the problem isn't that inspectors are careless. The problem is that you're asking humans to do something humans are physiologically bad at — sustained visual attention on a repetitive task for 8 hours. The data from cognitive science is clear on this: human visual attention degrades predictably after 20 minutes of repetitive inspection. No amount of training or motivation changes the neuroscience. So what's the alternative? [Rest of post explaining their approach with specific data]"

Results: Within 30 days, average impressions increased from ~200 to 2,000+ per post. Within 45 days, received the first inbound enterprise inquiry directly from LinkedIn — a VP of Quality at an automotive Tier 1 who said "your post about inspector fatigue described exactly what we're dealing with." That conversation led to a pilot within 90 days.

Same founder. Same product. Same LinkedIn network. The only thing that changed was how they talked about what they do. That's positioning.

What Actually Changed

Look at the structural differences between the before and after:

Every one of these changes came from running prompts similar to the ones in this guide. The founder spent about 90 minutes total on the exercise. The return on that 90 minutes was the highest-leverage marketing activity they'd done in 4 years of building the company.

Timeline showing the 30-day transformation results after repositioning, with impression growth from 200 to 2000 plus, first inbound enterprise inquiry at day 45, and pilot signed at day 90

Advanced Moves: After You've Nailed the Basics

Once you've run the 6-step chain and your profile is repositioned, here are three advanced techniques to accelerate the results.

Technique 1: Competitive Positioning Audit

Every quarter, re-run Step 1 with updated competitor context. Positioning is not static. Your competitors are repositioning too. New entrants are entering your space. Market conditions change. A positioning statement that differentiated you in Q1 might be generic by Q3 if two competitors adopt similar language.

Pull the current headlines and About sections of your top 5 competitors. Feed them into Step 1 along with your current positioning. Ask the LLM: "Given how my competitors currently position themselves, is my positioning still clearly differentiated? If not, what angle should I shift toward?"

Technique 2: Customer Interview Synthesis

The absolute best input for these prompts is direct quotes from your customers. After every sales call or customer conversation, note the exact phrases your buyers use to describe their problem and your solution. Feed those phrases into Step 2 as additional context.

"My customers describe their pain using these exact words: [paste 5-10 direct quotes]. Update my positioning to use language that mirrors these phrases." This produces the most resonant positioning because you're not guessing at buyer language — you're using it directly.

Technique 3: Content Performance Feedback Loop

After 30 days of posting with your new positioning, feed your top 3 performing posts and bottom 3 performing posts back into the LLM. Ask: "Based on what my audience engages with versus what they ignore, what should I adjust about my positioning and content pillars?" Use the engagement data to refine the prompts and re-run the chain with better inputs.

This creates a continuous improvement loop. Each cycle through the prompt chain produces sharper positioning because you're feeding in real market signals, not guesses.

What to Do Next

You now have everything you need to rebuild your LinkedIn positioning in 60 minutes. The prompts are specific enough to produce genuinely useful output and flexible enough to work for any B2B tech company in the physical AI, robotics, ADAS, or deep tech space.

Here's the recommended sequence after you've run the prompt chain:

  1. Update your profile today. Don't wait. Paste in your new headline and About section while the context is fresh. The longer you wait, the less likely you are to do it.
  2. Write your first 3 posts this week. Pick 3 hooks from Step 5, map them to content pillars from Step 6, and write them. Your positioning only works if people see your content.
  3. Build your visual system. Text posts get you started. Carousels and visuals are what scale your reach. Read our guide to AI-generated visuals for LinkedIn to build a visual system that matches your new positioning.
  4. Scale with carousels. Once you're posting consistently, carousels are the highest-reach format on LinkedIn. Our carousel generation guide shows you how to build a full carousel in 15 minutes using AI.
  5. If you're preparing for Demo Day, the positioning work you just did feeds directly into a YC Demo Day LinkedIn sprint — a 7-day content blitz designed to maximize visibility during your launch window.

The founders who get results from LinkedIn aren't better writers or more charismatic than you. They've just done the positioning work. They know exactly who they're talking to, what to say, and how to say it in the language their buyer uses. You now have the same prompts they used. The rest is execution.

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