Google just officially killed SEO — and I stopped paying for it across every brand I run. Google's own CEO said it on stage at Google I/O. Links are becoming an afterthought. AI Overviews now reach 2.5 billion people a month. The classic search results page is basically gone. There's a tool called Ubersuggest that shows you exactly which keywords trigger AI Overviews — and how to get your content cited inside them. This is the new SEO. Want the AI systems I use for content, ads, and automation? My AI Playbook is linked in my bio. Follow me and comment SEO for the latest news and tools on AI 👇 #SEO #AIMarketing #GoogleAI #DigitalMarketing #AITools

Most people automate the wrong thing first. They grab a new AI tool, wire it up, and expect results. They don't come. The problem isn't the tool. It's that they automated a broken process. AI just makes the broken part run faster. Fix: before you automate anything, write out what the ideal human version looks like. Clear inputs, expected outputs, defined handoffs. Then automate that. What's the first AI workflow you built that actually worked — what made it click?

Most people burning $500–2k/month on AI API costs are making the same mistake. They default every request to their best (most expensive) model. Classification. Summarization. Format cleanup. Routing logic. All hitting Claude Sonnet or GPT-4o. The fix: add a classification layer before anything expensive runs. A cheap, fast model (Haiku, Flash, Mixtral) reads the request first and categorizes it. Simple task? Handled cheap. Complex reasoning needed? Routes up to the premium model. I added this to one pipeline and cut API spend by 68% in a week. Output quality didn't move. What's actually eating most of your API costs right now — do you know the breakdown?

90% of bad AI output comes from bad framing, not bad models. The 4-line structure I use: → Role: "You are a [specific expert]..." → Context: here's what I'm building and why → Task: the exact thing I need done → Format: how I want the output (bullet list, code block, table, etc.) Before this structure → I was getting generic output. After → first drafts are 80% usable. Try it on one prompt you ran last week. Post the before/after in this thread.

Dropping this here: ask me anything. I've been building with AI for 3+ years across marketing, content, automation, and client projects. I've tested more tools than I can count and made a lot of expensive mistakes so you don't have to. What do you want to know? Some things people ask me a lot: - How do I start with AI if I'm not technical? - What's the fastest way to automate [specific task]? - Claude vs ChatGPT — which for which job? - How do I build a system prompt that actually works? - What AI tools are worth paying for in 2026? Drop your question below. I'll answer every one.