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- 🏴☠️ Perform an AI Audit on Your LinkedIn
🏴☠️ Perform an AI Audit on Your LinkedIn
The 2-Week Feedback Loop
Your current LinkedIn strategy is likely flying blind, but you can fix it immediately without hiring a consultant.
I recently stumbled upon a methodology that completely removes the guesswork from personal branding. This talented creator, who has spent three years experimenting with every format imaginable, just released a comprehensive cheat sheet for AI-assisted growth.
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Turning AI Into Your Personal Auditor
The core philosophy behind this approach isn’t just about using AI to generate text; it is about using AI to analyze what already exists. The expert outlines a dual-threat system: visual analysis for your profile and data analysis for your content.
By leveraging the vision capabilities of modern LLMs, you can get an objective critique of your visual branding. Simultaneously, by feeding raw data into these models, you transform them into data scientists that spot trends you might miss. It turns the subjective art of “posting” into an objective science of “optimizing.”
Visual Profile Diagnostics
The first step requires a ruthless look at your digital storefront. The author suggests using tools like Perplexity Comet or a Claude Chrome extension to get immediate, side-by-side feedback on your profile while you browse.
But the real trick is taking a static screenshot of your entire profile and feeding it into ChatGPT or a similar multimodal model. This allows the AI to “see” your banner, headshot, and headline together, analyzing the visual hierarchy and first impressions just like a human visitor would, but with the analytical depth of a marketing expert.
The Exact Prompt Structure
To get the most out of this visual audit, you need to ask the right questions. The creator provided a specific, high-fidelity prompt designed to extract actionable advice rather than generic praise. By pasting the text below along with your screenshot, you force the AI to break down your strengths, weaknesses, and conversion potential.
Here is the exact prompt provided by the original poster:
“Analyze this screenshot of my LinkedIn profile. Break down strengths, weaknesses, and areas to improve in my bio, about, profile picture, banner, experience section, skills, and overall positioning. Tell me what impression my profile creates, who it seems targeted to, and how clear my value proposition is. Give me actionable recommendations, suggested copy improvements, keywords to add, and credibility elements I should include. Finally, rate my profile out of 10 for clarity, positioning, branding, and conversion potential.”
The Two-Week Data Loop
Optimization is not a one-time event. This industry pro recommends exporting your LinkedIn content analytics into a CSV or Excel file and feeding that data into an AI model. The strategy is to do this religiously every two weeks.
You ask the AI to identify specifically what worked, what flopped, and where the hidden opportunities for impressions lie. This creates a feedback loop where your strategy evolves based on hard numbers rather than intuition, ensuring you are constantly doubling down on winning formats while discarding the losers.
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Credits Adam Biddlecombe
Navigating the Human Element
While this data-driven approach is powerful, there is a nuance to consider. AI looks at efficiency and metrics, but it cannot measure human connection or nuance. The advice to specific keywords or “credibility elements” should always be filtered through your own authentic voice.
If you optimize purely for the algorithm based on the AI’s suggestions, you risk sounding robotic. Use the audit to build a strong foundation, but make sure the final creative decisions still feel like you.
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