Leveraging AI for Small Business Marketing

Most "AI for business" books are written for enterprises with dedicated data teams and six-month implementation cycles. This book is for the rest of us.

In eight tightly-scoped chapters, Jayson K. walks small-business owners through every part of marketing where AI is genuinely useful today — and just as importantly, where it is not. You start with content: prompts that turn a one-paragraph brief into a full campaign, and the editorial patterns that keep on-brand voice intact across dozens of drafts. You move into customer research: clustering survey responses, mining support tickets, and turning post-call notes into next quarter's roadmap. Then you tackle the operations layer — scheduling, lead scoring, reporting — the unglamorous plumbing that decides whether an AI experiment survives past month two.

Each chapter is structured the same way: the problem, the workflow as a series of steps you could literally hand to an assistant, example outputs with commentary, and a "first try" checklist so you know what success looks like before you start changing copy or sending emails. By the final chapter you have a stack of workflows you can deploy the morning after you finish the book.