You tried blogging and it didn’t bring in clients, but it doesn’t mean blogging doesn’t work. The other day, I was exercising on my elliptic, I got back to my desk and had a booking notification from a prospect who had read my blog and booked an audit. I’ve been blogging since 2015 and I can tell you that most service providers write blog posts for people who already know them: existing clients, followers, peers… But those people are not the ones typing questions into Google. Google traffic comes from strangers who: ➤ don’t know your name ➤ aren’t loyal to you yet. ➤ are actively trying to solve a problem ➤ aren’t always aware of the solution they need. If your blog starts with context, opinions, or explanations that assume familiarity, it won’t be matching the search intent of those strangers. And Google won’t be showing your website, therefore people who need you will never find it. Blog content that brings clients starts with search intent and needs to contain the exact words someone types when they are worried, stuck, or trying to make a decision. Then the structure does the rest: ➤ Clear headline ➤ Clear problem ➤ Clear outcome ➤ Clear next step ➤ While addressing their mental and emotional states and showing your expertise. That is the difference between content that feels nice and content that gets found. Blogging for business is not about sharing thoughts, it’s about answering the right question better than anyone else. (But you can still sprinkle your thoughts to add personality, life and depth of course). If you want me to tell you why one of your blog posts never stood a chance on Google, DM me and send the link. I will break it down clearly. PS: If you don’t have a blog that works for you 24/7 yet, I’d love to know what’s holding you back.

The workflow looked "too human" for AI. The audit found the opposite. This is one of the most common objections I hear when working with service firms and accounting teams. "Our work is relationship-driven." "Every situation is different." "You cannot automate judgment." These are real concerns. I do not dismiss them. But when I look at the actual workflow underneath that objection, what I consistently find is not human complexity. It is undefined process. The steps have not been written down. The criteria for moving a task forward have never been agreed on. The handoff has no stated output. The team is filling in the gaps with judgment because nobody ever specified what the decision should actually be based on. That is not human complexity requiring human intervention. That is an undefined workflow that has trained everyone to improvise. The audit finding in these situations is almost always the same. The workflow does not need human judgment to function. It needs clarity. It needs a defined trigger, a stated input standard, and a clear output definition. Once those three things exist, the workflow is almost always automatable. Sometimes immediately. Sometimes with minor structural work first. The firms that conclude AI will not work for them are often the ones that tried to automate before they defined. The tool hit the ambiguity and stopped. They interpreted that as the tool failing. The tool was fine. The process was not ready. Clarity before automation is not a slogan. It is the sequence that determines whether AI adoption delivers results or produces confusion. If your team has concluded that your workflow is too human for AI, it is worth examining whether the real barrier is human complexity or process definition. I put together a free 5-question AI Workflow Gap Diagnostic that helps you find the answer in under five minutes. Comment AUDIT below and I will send it directly.