How Readers Find Books Now

The question hasn’t changed. “What should I read?” The person — or machine — answering it has.

A reader once walked into a bookstore and said, “I’m looking for a mystery set in Alaska.” The bookseller reached for a shelf and handed her a book.

Then readers typed essentially the same words into Google.

Now they can type a complete question into ChatGPT, Claude, Perplexity, or another AI assistant and receive a conversational answer with specific book recommendations.

The question is the same. The scale is different. And the author’s relationship to the answer is worth understanding.

The Experiment

Try something. Open whatever AI assistant you have on your phone or computer. Type a question a reader might ask if they were looking for a book like yours.

“Recommend a mystery set in Alaska.”

“What are the best memoirs about commercial fishing?”

“Suggest a children’s book about wildlife.”

Look at what comes back. Is your book in the answer?

Now look at the books it does recommend. What do they have in common? Ask the AI why it chose them. Ask for sources. Try a different wording. Try a narrower question. Try a broader one.

You are not testing the AI. You are learning how a growing number of readers are now discovering books. And you are seeing, for the first time, whether the information available about your book is sufficient for this new kind of recommendation to find you.

What We Know and What We Don’t

AI assistants with web search capabilities can find and synthesize information from across the internet when answering a reader’s question. They can draw from book descriptions, reviews, author pages, reading lists, and other publicly available sources. Different systems work differently, and even the same assistant may answer from its training data in one situation and search the live web in another.

Nobody can guarantee an AI assistant will recommend your book. The systems are complex, their methods are proprietary, and their results change depending on how the question is asked.

What we can say with confidence is simpler: accurate, public information about your book gives both human readers and web-search-enabled systems something real to find. The work you have already done — claiming your Goodreads profile, maintaining a consistent author bio, keeping your Amazon listing current, building a website connecting you to your subject — serves this new channel the same way it serves every other.

The Three-Week Progression

In campaign 131, you searched your own name and saw what a reader sees. In campaign 132, you searched for yourself on Goodreads and saw what the reading community sees. Now you have asked an AI assistant about the kind of book you wrote and seen what this new discovery channel finds.

Three searches. Three perspectives. Each one reveals something different about how your book exists in the world beyond your own desk.

I wrote in The Power of Authors: “Technology changed the way I publish — but more importantly, it changed who could find the books I produce.” This has been true at every technological shift in my six decades of publishing. The bookstore gave way to online retail. Online retail gave way to social media. Now social media shares the stage with AI assistants answering questions in plain conversation.

The author’s job has not changed. Write something worth reading. Make accurate information about it available where people — and now systems — can find it.

The way readers ask for books is changing. Be curious about it. Test it. And make sure when someone comes looking for information about your book, there is something trustworthy to find.

If this idea resonates with you, you will find the same philosophy throughout The Power of Authors by Evan and Lois Swensen, where every shift in technology is treated as an opportunity to reach the reader who has not found the book yet.

The Power of Authors is available from Amazon or your favorite bookseller: http://evanswensen.com. If you’d like an autographed copy, you can order it here: http://bit.ly/4pgmzjM.

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