“Golden age for discoverability”
Media Transformation Summit: Thad McIlroy and Emma House discuss how AI, metadata, and audience insights are reshaping the way books are found.
As AI changes how books are found and recommended, publishers are being encouraged to think beyond metadata – rethinking websites, backlists, reader targeting and even literary festivals as part of a broader discoverability strategy. The Media Transformation Summit, a digital conference organized by Publishing Signal, powered by knk, in partnership with the Digital Publishing Report (DPR), brought together Thad McIlroy, technology analyst and consultant at The Future of Publishing, and Emma House, international publishing consultant. Their session: Content and Target Audience: How Content Gets Discovered, Positioned, and Connected with the Right Readers.
Published: 1.8.2026 | Photo / video: Magnific
Building on earlier discussions about metadata and AI, the conversation quickly moved beyond technical optimization to a broader question: how can publishers ensure that the right books reach the right readers? While metadata, SEO and GEO remain the foundation of discoverability, both speakers argued that publishers now need to think less about simply being found – and more about helping books find their audiences.
House was particularly optimistic about where the industry is heading. Rather than seeing AI as just another disruption, she described the current moment as "a golden age for discoverability," where books have more opportunities than ever to reach readers who might never have found them through traditional channels. "There is a greater opportunity for the book to find the reader as well”, she observed.
Beyond metadata
One message echoed throughout the Summit, and this session reinforced it once again: metadata is no longer optional. If search engines and AI systems cannot understand a book, they have little chance of recommending it.
For McIlroy, however, the industry is still treating metadata as an afterthought instead of a core publishing task. “Until you get the metadata right, you can't publish a new book," he pointed. "The metadata is so fundamental."
At the same time, he suggested that discoverability has evolved beyond traditional metadata alone. Generative AI is increasingly looking for richer contextual information: descriptions, excerpts, reviews, author biographies and other supporting material that helps explain what a book is actually about. "The best metadata about a book is the book," McIlroy noted, encouraging publishers to expose more of their content online whenever possible.
That observation naturally led the discussion to another often-overlooked asset: publishers' own websites. Rather than simply reproducing the same ONIX information available on retail platforms, both speakers suggested treating them as living repositories, enriched with reviews, excerpts and contextual information that AI systems can actually learn from.
When books discover unexpected readers
If metadata helps AI understand books, AI is also changing how publishers understand readers. House explained that recommendation systems now make it possible to move beyond traditional demographic targeting. Instead of focusing only on age, gender or location, publishers can increasingly reach audiences based on emotions, values and interests.
Rather than replacing editorial intuition, AI expands publishers' understanding of who their readers might be, revealing opportunities that conventional marketing strategies can easily overlook.
"If your book doesn't get mentioned," McIlroy suggested, "think about how to solve that problem”. His recommendation was simple: ask AI questions that your own books should be able to answer. If they never appear in the responses, there's probably work to do.
Discoverability doesn't end online
Despite the session's strong focus on AI, neither speaker saw digital discovery as replacing physical spaces.
Neither speaker believed that AI would replace the human side of discoverability. Literary festivals, bookstore events and author conversations, they argued, remain some of the most powerful ways for readers to encounter books – particularly writers they weren't actively looking for. "I still am a big advocate of physical book events and author interaction sessions and literary festivals”, House said. "They still hold enormous value."
McIlroy agreed, pointing out that no single channel drives book sales on its own. Physical events, social media, search engines and AI recommendations all contribute to building an audience over time, making discoverability an increasingly multifaceted process rather than the result of one successful campaign.
The hidden value of the backlist
Buried in the conversation was a point that might matter more than anything else discussed: publishers may already be sitting on their biggest opportunity, and it's not new at all. It's the backlist.
House challenged the idea that older titles are static, dead weight on a catalogue. Instead, she argued AI can help spot books quietly regaining cultural relevance, or connecting with readers who weren't even the original target audience. A sales spike, a shift in reader behavior, a viral moment, a broader cultural wave – any of these can signal that a forgotten title is due for a second life.
"Many publishers sit on huge backlists," she observed. "This is quite often where the gold mines will sit". McIlroy picked up the thread, invoking a line from publishing consultant Mike Shatzkin that's become something of an industry truism: "Every backlist book is brand new to someone who's never seen it before."
Neither speaker oversold what AI can actually do here – nobody claimed it's a crystal ball for the next bestseller. The real value, they suggested, is quieter than that: helping publishers understand today's readers more clearly, spot opportunities faster, and put books – even books that had fallen out of the spotlight – back in front of the readers most likely to fall for them.

Emma House is an international publishing consultant specialising in event curation and management, research and reports, international business development and mentorship. Her career spans 26 years across magazine, book and journal publishing. She was Head of International Development at the London Book Fair and Deputy CEO at the Publishers Association before setting up her own consultancy. She is chair of the Scholarly Networks Security Initiative, project lead for Quick Reads at The Reading Agency, vice-chair of the Publishing Training Centre, and a member of the advisory group for Oxford Brookes University Centre for Publishing Studies.

Thad McIlroy is a technology analyst and consultant to the publishing and media industry. He has followed developments in publishing technology for decades and now focuses intensively on the impact of AI on publishing. As director of The Future of Publishing and contributing editor at Publishers Weekly, he reports on AI, innovation and startups in the publishing industry. He has published twelve books and more than 500 professional articles, serves on the advisory board of Johns Hopkins University Press, and is a guest lecturer at George Washington University.
