Use AI to Turn The Trusted Advisor's Trust Equation Into a LinkedIn Post

LinkedIn AI prompts work best when they're built on an idea worth sharing, and few ideas are more useful to consultants than the Trust Equation from The Trusted Advisor. This post gives you one prompt that turns that framework into a LinkedIn post grounded in your own experience, not generic advice.

The idea: the Trust Equation

The Trusted Advisor, by David Maister, Charles Green, and Robert Galford, argues that technical expertise alone doesn't earn client trust. Trust is built from four ingredients, captured in a simple formula:

Trust = (Credibility + Reliability + Intimacy) ÷ Self-Orientation

• Credibility: What you say, and the expertise behind it.

• Reliability: Doing what you say you'll do, consistently.

• Intimacy: How safe a client feels being honest with you.

• Self-Orientation: How focused you seem on your own interests rather than theirs. Lower is better, since this sits on the bottom of the equation, so a high self-orientation drags everything else down.

  
  

The authors' core argument is simple: it's not enough to be right. You have to be helpful, consistent, and visibly more invested in the client's outcome than your own.

Why The Trusted Advisor angle works for LinkedIn

A post built on the Trust Equation works because it does something most LinkedIn content doesn't: it shows a consultant thinking critically about their own practice, not just dispensing advice.

A post that picks one part of the Trust Equation and reflects honestly on it- a time credibility wasn't enough, a moment intimacy made the difference, or a habit that keeps self-orientation in check- signals self-awareness.

Readers, including potential clients, trust people who can examine their own blind spots in public.

Why this matters long-term: The Trust Equation alone has four components, each one a separate post. One well-chosen book like this can realistically produce four to six LinkedIn posts without repeating the same idea twice.

The prompt

Before using the prompt, pick one element of the Trust Equation to focus on (Credibility, Reliability, Intimacy, or Self-Orientation) and think of one real moment from your own client work connected to it.

Main prompt

You are a LinkedIn ghostwriter helping a [FIELD] consultant write a post based on the Trust Equation from The Trusted Advisor (Maister, Green, Galford).

Trust Equation element: [CREDIBILITY / RELIABILITY / INTIMACY / SELF-ORIENTATION]

Real moment to draw from:
[DESCRIBE A SPECIFIC CLIENT SITUATION CONNECTED TO THIS ELEMENT. What happened, what you learned]

Write a LinkedIn post that:
- Opens with a single punchy hook sentence. No throat-clearing, no "In today's world".
- Briefly introduces the Trust Equation element in plain language, with no jargon.
- Tells the real moment as a short, honest story that is specific, not generic.
- Draws one clear lesson a fellow consultant could apply this week.
- Ends with a question that invites other consultants to share their own experience.
- Maximum 250 words, short paragraphs, no bullet points, sounds like a person, not a brand account.

Follow-up prompt

Review the post above and tighten it. Cut any sentence that doesn't earn its place. Make sure the opening hook would stop a consultant mid-scroll. Keep the voice conversational, with contractions, short sentences, and no corporate language.

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Frequently Asked Questions

Do I need to read the whole book to use this prompt?

No. The Trust Equation is the single most useful concept from The Trusted Advisor, and this post gives you everything needed to build a LinkedIn post from it. Reading the book adds depth if you want to mine it for more post ideas later.

Can I use this same template with other books?

Yes. This is a repeatable format. Pick any well-known book in your field, identify one core idea or framework, and apply the same prompt structure: explain the idea, connect it to a real moment, draw a lesson, and end with a question.

What AI tools does this prompt work with?

This prompt is tool-agnostic. It works with ChatGPT, Claude, Gemini, or any other large language model.