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- Your LinkedIn profile is a leaky funnel
Your LinkedIn profile is a leaky funnel
Stop optimizing posts, fix the page they land on
Your content brings them in, your profile decides if they stay
I spent two hours yesterday tweaking a single hook for a LinkedIn post. Then I clicked into my own profile and realized I hadn't touched the headline, the About section, or the featured panel in months. The page my posts were quietly funneling people to was a dead end.
Then a creator's breakdown stopped me mid-scroll. The argument was sharper than the usual "optimize your profile" advice, and it called out a ratio I'd been getting wrong for a long time.
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The ratio nobody talks about
Most founders pour hours into hooks, formats, and engagement. The profile sits untouched. Generic headline, blank About, experience that reads like a job description. The content does its job and brings people in. The page they land on does nothing.
The creator put it bluntly. Your content brings people to your page. Your profile decides whether they stay, trust you, and reach out. Most people spend way more time on the posts than on the page those posts point to. That ratio is upside down.
What changed for the creator who wrote this
The author shared their own before-and-after. Rebuilt the headline from scratch. Restructured the About section. Rebuilt the featured panel around conversion. The quality of inbound shifted inside a few weeks. Not because they posted more. Because they fixed what was already sitting there waiting to convert.
A LinkedIn profile isn't a resume. It's the highest-converting sales page most founders will ever own. And AI can rebuild yours in a single afternoon.
The 10-prompt rebuild sequence
The creator laid out 10 specific prompts to run in order. They work on Claude, ChatGPT, Gemini, Grok, and Perplexity. Each one feeds the next.
Creator profile rewrite. Position yourself as a recognized authority in your niche. Sets the tone for everything downstream.
Freelance client profile rewrite. If you sell services, tune the page for trust, inbound leads, and conversion.
High-converting headline. Generate 10 variations optimized for search and credibility, then pick the strongest.
Keyword-optimized profile pass. Layer in the terms recruiters, clients, and founders actually type into LinkedIn search.
About section rebuild. Storytelling format with a hook, proof, and a clear call to action. No more bio-as-resume.
Skills section overhaul. Top 20 ranked by impact, with 3 pinned for maximum discoverability.
Personal branding positioning. Generate 10 angles that communicate your authority clearly, then pick the one that fits.
Featured section setup. The exact content order that turns first-time visitors into followers or leads.
Experience section rewrite. Every entry achievement-driven, not task-driven. Outcomes over duties.
Full profile audit. Score the result out of 100 with specific fixes for every remaining gap.
I love that this was built as a sequence, not a menu. By the time you hit the audit at step 10, you're scoring a profile that's been rebuilt from the ground up, not patched one section at a time.
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Small moves that had outsized results
A few tips from the tests that are worth stealing:
Add the word "photorealism" to your prompt. "iPhone photo" and "cinematic" underperformed. One word swap jumped realism across repeated runs.
Use the 4K option through the API (via Higgsfield or similar) when combining two real photos. Face fidelity jumps hard.
Turn thinking mode on for infographics. Model browses, avoids sketchy claims, sticks to public info.
For storyboards, ask for panel numbers and production notes inside the prompt. Characters stay consistent across 10 frames.
For UI and code screenshots, GPT-Image 2.0 recreates dual monitor dev setups with readable code and folder trees. Use carefully. It makes fake screenshots trivial to produce.
What to watch out for
A few rough edges still:
Style recreation is inconsistent. Some references come out great, others lose the original look entirely.
Handwriting on whiteboards can look too neat to be believable.
Book spines and tiny background text still glitch occasionally.
Research outputs can include small factual slips. The oil price example was off.
None of these kill either model. You still need a human eye on the final image.
The bottom line
Two tools. Two jobs.
GPT-Image 2.0 for work that needs to be correct. Nano Banana for work that needs to feel right. Running both in parallel on your recurring prompts is the fastest way to learn which one wins for your specific stuff.
The fundamentals worth nailing alongside the prompts
The creator also called out the basics that get skipped constantly.
Professional photo. Not a cropped wedding shot, not a logo. A clear, well-lit photo of you.
Outcome-focused headline. What you do, for whom, and what they get. Not your job title.
Keywords throughout. Recruiters and clients search. Show up.
A story in your About section. Hook, proof, call to action. Not a list of roles.
Achievements front and center in every experience entry. Outcomes, not task lists.
Why running all 10 in one sitting matters
The creator's sharpest point was about sequencing. Run all 10 in one session. You catch gaps you didn't know existed because each prompt forces you to confront a different angle of the same page. Doing it piecemeal over weeks leaves you optimizing in isolation, missing how the pieces fit together.
When the creator said "your profile looks completely different on the other side", they weren't exaggerating. A few hours of focused AI-assisted work replaces what would otherwise be months of half-hearted edits.
Why this hits harder than the usual advice
Most LinkedIn advice tells you to "add keywords" or "write a better headline". Vague. What this creator did differently was treat the profile like a funnel where each section has a job and a measurable outcome. Headlines get clicks. About sections build trust. Featured panels convert. Experience proves it.
That's a framework, not a tip. It's also why the results moved within weeks instead of months.
My honest take
I keep noticing the same gap in my own work. The posts get all the energy. The profile gets nothing. And the profile is the page that actually has to do the closing.
The framing that stuck with me is this: your content is the ad, your profile is the landing page. Nobody runs ads to a broken landing page on purpose. We just do it on LinkedIn without noticing.
Block off an afternoon this week. Open Claude, open your profile, and run the sequence end to end. Don't patch one section. Rebuild the whole funnel in one sitting. Audit it at the end. See what comes back through your inbox over the next two weeks.
It's Monday. Every department already has context. Nobody prepped anything.
Your CFO opens Slack. There's a weekly Stripe revenue recap in #finance with a churned-accounts flag and a net-new breakdown. She didn't ask for it.
Your head of product opens Slack. There's a GitHub summary in private channel: PRs merged, PRs stale, Linear tickets that moved. He didn't ask for it.
Your marketing lead opens Slack. There's a Google Ads performance comparison in private channel, with a note: "Meta CPA crept up 18% this week. Might be worth pausing the broad match campaign." She didn't ask for it either.
All-hands at 10am. Everyone already knows the numbers. The meeting is about decisions, not catch-up.
That's what happens when one colleague works across every tool your company uses. Not one department's assistant. The whole company's coworker.
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