Last updated: February 2026
Something fundamental has changed in how readers find books. Alongside Google searches and Amazon browsing, millions of people now ask AI tools — ChatGPT, Claude, Perplexity, Gemini — questions like:
- "What's the best book on mental performance for teen athletes?"
- "Recommend a nonfiction book about habit formation"
- "What should I read to understand sourdough baking?"
When an AI tool answers these questions, it doesn't just give an opinion. It synthesises information from across the web, and it cites its sources. If your book and your expertise are visible to these tools, you get recommended. If they're not, someone else does.
AI Discovery is the practice of making your books and expertise visible to AI tools — so they can find you, understand your work, and cite you in their answers.
Try it yourself
Before reading further, test your own visibility:
Most authors who try this discover they're completely invisible. That's not a failure on their part — it's a gap in their infrastructure that can be closed.
What makes AI tools cite one author over another
AI tools don't have preferences. They don't know which books are "good." They cite sources based on what they can find and understand on the open web. The authors who get cited tend to have:
- Structured data — machine-readable information that explicitly tells the AI "this is a book, by this author, about this topic, rated 4.8 stars." Without it, the AI has to guess from raw text — and usually doesn't bother. Read the full guide →
- Content that answers specific questions — if your website has pages that directly answer questions readers ask AI tools, those pages become citable sources. This is what Answer Engine Optimisation is about.
- Accessibility — AI tools can only cite what they can read. Many websites accidentally block them. If your site isn't configured to allow AI tools in, they'll never find you.
- A clear site identity — your website needs to communicate who you are and what you've written in a way that machines can quickly parse and understand.
The five components of AI Discovery
- Structured data — machine-readable markup that tells AI tools what your book is, who wrote it, and how readers rate it. Deep dive →
- Technical configuration — ensuring AI tools can access and crawl your site. Many websites accidentally block AI crawlers without knowing it.
- Answer-optimised content — pages written to directly answer the questions readers ask AI tools. Deep dive →
- Ongoing monitoring — regularly testing what AI tools say about your books and adjusting based on results
What you can do right now
You don't need a full AI Discovery setup to start improving your visibility. Here are practical steps you can take today:
- Test your visibility — ask ChatGPT, Claude, or Perplexity about your topic. Note whether your book comes up. Try different phrasings. This tells you exactly where you stand.
- Write an FAQ page on your website — answer the five most common questions about your topic in your own voice. Clear, direct answers give AI tools something specific to cite.
- Strengthen your About page — make sure it clearly states your name, credentials, what you write about, and why you're qualified. AI tools use this to assess whether you're worth citing.
- Ask your web designer about structured data — find out whether your site has it, and whether it covers your books and your author identity specifically. Learn why this matters →
Why acting early matters
AI-assisted book discovery is still early. Most authors in most niches have zero AI visibility. That means the authors who invest in this now will be the ones AI tools learn to cite first.
Once an AI consistently recommends your book for a topic, that pattern tends to stick. Early movers get a compounding advantage that's difficult for competitors to displace later.
Learn how Answer Engine Optimisation works →