Something is changing in how readers discover books

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Something is changing in how readers discover books, and almost no one in publishing is paying attention to it yet. For years, the path was clear, a reader searched Amazon, browsed Goodreads, used search engines, or asked a friend. Your job as an author was to be visible in those places. |
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“What should I read if I loved this?” “Recommend me a thriller with an unreliable narrator.” “What’s a good book about grief that isn’t depressing?” |
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Increasingly, especially among younger readers, the first question is no longer typed into a search engine. It is asked to an AI. And AI answers these questions instantly, drawing on a very specific set of sources, certain databases, certain platforms, certain structured information it has learned to trust.
But here is the problem. Most books have no presence in those places. This isn’t because the books aren’t good, but because the very specific digital signals that AI systems look for simply do not exist in the places they need to be. |
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The metadata is incomplete. The author platform is not structured in a way AI can read. The information is scattered, inconsistent, or missing entirely from the sources AI actually references.
This is fixable. But almost no one is fixing it. Not authors, not agents, not even the major publishers.
The industry is still optimizing for a discovery landscape that is already fading. Which means authors who understand this now have a window. A chance to build the digital infrastructure that will matter most in the years ahead, while everyone else catches up.
If you would like further details about this, send me an email with the subject AI Book Discoverability and I’ll reply with that information. |
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