AI killed generic content

When I started writing on LinkedIn in early 2024, I leaned on generic tips. I even wrote a post called “How to be a better marketer in 2024.” Engagement was flat. People skimmed it and moved on.

Then I shifted. I stopped writing “how to” and started writing “how I did it.” My reach doubled overnight. Comments got specific. Leads began referencing the exact stories I’d shared.

That’s the reality of AI: anyone can spin up “10 tips” in seconds. That’s not impressive anymore - it’s expected. What cuts through is experience-led content:

• Specificity → your story names the niche, the context, and the constraint.
  Scarcity → only you have your process, mistakes, and receipts.
• Proof → you can show artefacts, not just opinions.
• Trust → readers see decisions, not platitudes.

Weak: “10 AI tips for marketers.”
Strong: “How I cut my LinkedIn writing time by 60% using a 3-step AI loop.”

So how do you systemise this? Build a story bank.

Here’s how I do it with clients at Linked Agency:

Open a Google Doc.

After each milestone, answer four questions:

• What are my achievements?
• What are my goals?
• What have I done to move closer?
• What’s my experience - obstacles, stories, context?

Then upload that doc into a ChatGPT Project. Now, when you ask the model for a LinkedIn post or newsletter draft, it’s not inventing - it’s drawing from your lived archive. AI sharpens and ships; the experience is yours.

The rule is simple: if a stranger could post it, rewrite it.

AI makes content cheap. Experience keeps it valuable.

Tell the story only you can tell. Show the receipts. Then let AI do the packaging.

— Charlie

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