Beyond SEO: How to Get AI to Recommend Your Book (Before the Bestseller)

Alex Strathdee had me on his podcast Before the Bestseller to talk about AI. Here is an AI summary: In the rapidly evolving landscape of book marketing, authors have long been told to master Search Engine Optimization (SEO). But as we move deeper into the age of artificial intelligence, a new, perhaps more critical, strategy has emerged: AI Optimization (AIO), sometimes called Generative Engine Optimization (GEO). In a recent episode of Before the Bestseller, host Alex Strathdee sat down with the legendary Thomas Umstattd Jr.—host of the Novel Marketing Podcast and a self-described “book marketing hero”—to uncover the strategies, struggles, and secrets behind getting AI to recommend your book over the competition. This isn’t just about keywords anymore; it’s about training the digital brain of the internet to recognize your authority. Here is a deep dive into the insights Thomas shared on how authors can navigate this new frontier. The Rainforest Cafe Lesson: Why AI Recommendations Matter To understand the power—and the quirks—of AI optimization, Thomas shared a telling anecdote from a recent family trip to San Antonio, Texas. When planning the trip, he didn’t turn to Google or Yelp; he asked an AI to build an itinerary for his family, specifically requesting fun activities for children. The AI recommended the Rainforest Cafe on the famous Riverwalk. While the Riverwalk is known for authentic Tex-Mex, the AI prioritized the Rainforest Cafe because it offered “animatronic animals,” fitting the specific prompt for “fun activities for kids”. When Thomas arrived, there was a 40-minute wait, while better, more authentic restaurants nearby were actively soliciting customers. The food at the Rainforest Cafe was, in Thomas’s words, “awful,” but the establishment was thriving because it was the kind of place ChatGPT would recommend. The lesson for authors is stark but valuable: The goal isn’t to trick AI into selling a bad product, but to realize that AI recommendations can drive massive traffic. If you want your book to be the one readers find when they ask ChatGPT, “What should I read next?”, you need to understand how the AI thinks. How Does AI Know About Your Book? If you ask an AI model to recommend a book based on a photo of your bookshelf, it can do so with shocking accuracy because it analyzes the books in its Large Language Model (LLM). But how does your specific book get into that model? According to Thomas, one major source is piracy. Recent court cases have revealed that AI companies often train their models on massive datasets downloaded from pirate websites. While this sounds alarming, the courts have generally ruled this as “fair use” because the AI’s reading of the text is considered transformative. Thomas offers a controversial take for nonfiction authors: piracy might actually be beneficial. If pirated copies lead to a million people reading your book and establishing you as a thought leader, you will likely make more money in the long run through speaking engagements and podcast invites than you would have from book sales alone. In the world of nonfiction, the idea itself is often less valuable than the execution and the authority of the author. However, AI training data usually cuts off at the top 7 million most popular books. If your book is new or hasn’t reached that threshold, the AI might not “know” it exists in its core training data. In these cases, the AI relies on external sources it can read, such as Goodreads. The Sycophancy Problem A major pitfall for authors testing their AI visibility is the “sycophancy” of current models. If you ask ChatGPT about your own book, it will often flatter you, telling you exactly what it thinks you want to hear. It might even hallucinate that your book is a bestseller when it isn’t. To combat this, Thomas developed a suite of “AI Knowledge Checkers” in his Patron Toolbox. These tools are designed to blind the AI from the live web, forcing it to answer only from its internal context window. This reveals whether the AI actually knows who you are or if it’s just quickly Googling you to be polite. The Foundation of AIO: Your Author Website If you want to rank in AI recommendations, you must stop relying solely on Amazon or social media. You need a robust author website. Thomas emphasizes that the principles of SEO (Search Engine Optimization) and AIO are nearly identical. If you have been ignoring your website, you are already behind. Thomas highlighted three specific areas of your website that need to be optimized: 1. The Homepage Your homepage needs to be technically sound and content-rich. Thomas’s toolbox includes a scanner that acts like a “curmudgeonly webmaster,” giving you a brutally honest score on your homepage’s effectiveness. 2. The Book Page A common mistake authors make is having a single page listing all their books. For AIO, every single book ...