Teardowns, tactics, and short essays on generative engine optimization for service businesses — written in plain English by operators, not marketers.
We pulled 2,400 tax questions from Perplexity and ChatGPT, tagged every source cited, and looked for patterns. Here's what the cited firms have in common, what the ignored firms are missing, and a repeatable pattern any practice can copy.
Read the full teardownA structural template grounded in how AI Overviews select sources. Copy-paste it for your next post.
Read article →Voice profiles fail below a sample threshold. Here's what the threshold is and what to put in your samples.
Read article →A projections walkthrough built on industry research. No customers yet, just the math from the data we have.
Read article →Most E-E-A-T advice is aimed at publishers. Here's what matters when you're a local practice with 4 staff and no PR budget.
Read article →The structural difference between cited and uncited accounting content, and how to close the gap.
Read article →Each engine has a different idea of authority. Here's what that means for your content strategy and what to prioritize first.
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