For decades, the authors and publishers relied on a simple assumption that readers discover books by genre.

If you wanted a mystery, you browsed the mystery shelves. If you loved fantasy, you searched for fantasy novels. Romance readers headed to the romance section, while history enthusiasts looked for historical fiction. Bookstores, libraries, publishers, and online retailers built entire systems around this idea.

While that approach still exists and genres remain essential for categorising books to help the industry organise its catalogues and set reader expectations, we have to admit that they are no longer the primary way many readers discover their next favourite book.

Today’s readers are searching differently. Instead of typing best fantasy novels or romance recommendations, they are searching for books that feel like autumn or for slow-burn enemies-to-lovers romances with witty banter. Instead of browsing by category, they are turning to social media, online communities, and increasingly even AI tools to recommend books based on their moods, personalities, favourite films, hobbies, or life experiences.

Age of genre-ruled book discovery

For much of modern publishing, genre was the language of discovery. A reader who enjoyed detective fiction naturally looked for crime novels. Fantasy fans explored epic worlds filled with dragons and magic. Science fiction readers searched for futuristic adventures or space operas. As such, bookstores reflected this structure where shelves were neatly organised into familiar categories. Online retailers followed the same model, using genres and sub-genres to help readers navigate increasingly vast catalogues. Even publishers built marketing campaigns around genre expectations. Book covers, blurbs, and promotional materials were designed to signal exactly where a title belonged.

This system worked because recommendations often came from librarians, booksellers, newspaper reviews, or that one trusted voracious reader.

Social Media changed how readers discover books

People have always recommended books to one another. What platforms like TikTok, Instagram, YouTube, Reddit, and Goodreads changed was the scale, speed, and language of those recommendations. A single passionate reader can now convince millions of people to pick up a forgotten novel. Books published years earlier found themselves climbing bestseller lists again because someone posted a thirty-second emotional reaction online.

Social media changed the language. One line is all it takes now and it could be anything –
“This book emotionally destroyed me.”
“I haven’t stopped thinking about these characters.”
“If you loved this TV series, you’ll love this novel.”

The recommendations are now built around aesthetics and experience.

This explains why books like The Song of Achilles, The Seven Husbands of Evelyn Hugo, and Fourth Wing continued attracting new readers long after publication. People weren’t simply recommending them as historical fiction, literary fiction, or fantasy. They were recommending the feeling those books created.

Readers are looking for experiences

One of the biggest book recommendation trends of the past five years is the move from descriptive searches to emotional and experiential searches. Readers increasingly ask questions like:
What should I read if I loved Bridgerton?
Which books feel cosy on a rainy afternoon?
I need a novel that will help me get out of a reading slump.
Recommend a book that will make me cry.
I’m looking for books with found family relationships.

Readers are describing the experience they want rather than the category they expect. This change mirrors broader internet behaviour. Streaming platforms recommend films based on viewing habits rather than simply listing genres. Music services create playlists based on moods, activities, or personalities. Shopping websites personalise suggestions based on previous interests.

Books have naturally followed the same path.

Trope-based discovery

If genre once dominated book marketing, tropes have become one of its most powerful companions. Tropes aren’t new. Writers have used them for centuries; it has now become a trend to actively search for them.

Instead of looking for romance, readers might specifically want:

• Enemies to lovers
• Friends to lovers
• Slow burn
• Fake dating
• Marriage of convenience
• Only one bed
• Forced proximity
• Grumpy meets sunshine

Fantasy readers search for:

• Found family
• Chosen one
• Morally grey protagonists
• Reluctant heroes
• Magical academies

These searches are surprisingly specific and help readers find exactly the emotional journey they’re seeking.

For writers, though, it is important to keep in mind that writing solely to chase trending tropes often produces forgettable books. Recognising the tropes already present in your manuscript, however, can make it significantly easier for the right readers to discover your work.

Mood as a search category

Perhaps the most fascinating shift in reader psychology is the rise of mood-based recommendations. Readers increasingly choose books the way they choose music – on how it makes them feel. Some common searches include:

• Books that feel hopeful
• Comfort reads
• Cosy fantasy
• Books for heartbreak
• Books to escape reality
• Books that restore your faith in humanity
• Books that will emotionally devastate you

This trend focuses on the desired emotional outcome, as more and more readers are reading because they want to escape, laugh, cry, reflect, learn, or simply spend time with memorable characters.

Personality as a part of book discovery

Another fascinating development is the growing popularity of identity-based recommendations. Readers now search for books based on personality traits, lifestyles, or interests. Examples include:

• Books for introverts
• Books for overthinkers
• Books for writers
• Books for entrepreneurs
• Books for travellers
• Books for history lovers
• Books for people with busy schedules
• Books for coffee lovers

Some recommendation lists go even further by incorporating personality systems such as zodiac signs or Myers-Briggs types. Whether or not readers believe in astrology or personality typing isn’t really the point. These frameworks provide a playful way of helping readers feel seen.

It’s entertaining, highly shareable, and surprisingly effective at encouraging discovery.

Change in reader psychology

One common misconception is that readers suddenly developed different literary preferences. The truth is that people still enjoy compelling plots, memorable characters, and satisfying endings. The only thing that has changed is how readers describe what they’re looking for.

People still naturally gravitate towards recommendations that feel personally relevant. Compare these two headlines:

Best Fantasy Books of the Year versus Fantasy Books for Readers Who Love Morally Grey Heroes and Found Families

The second immediately feels more personal because it promises an experience aligned with the reader’s preferences.

The future of book recommendations

Book recommendation trends will almost certainly become even more personalised. AI already recommends books based on conversations rather than keywords, and interactive quizzes match readers with novels based on preferences and personality. So, the future of discovery is likely to become even more conversational.

Readers will probably search for more personalised preferences, like –
“I’m looking for something hopeful, under 400 pages, with complex friendships, a touch of magic, and characters who feel real.”

That level of specificity may sound unusual today, but it’s quickly becoming normal.

To be real, genre isn’t disappearing. It remains one of the foundations of publishing and will continue to help readers navigate an ever-growing world of books. But genre is no longer the whole story. Modern readers discover books through emotions, personalities, aesthetics, tropes, communities, and shared experiences. They don’t simply ask what a book is about. They ask how it will make them feel, who it reminds them of, and whether it fits the moment they’re living through.

FAQs

Why do book recommendations seem more personalised now?

Book recommendations have become more personalised because readers increasingly search for books based on their moods, interests, personalities, and favourite story elements rather than just genres. Recommendation algorithms, social media communities, and AI tools now consider factors such as books you’ve enjoyed before, the tropes you like, and even the emotional experience you’re looking for.

How do readers discover new books today?

Readers discover books through a mix of sources, including BookTok, Bookstagram, Goodreads, book blogs, podcasts, YouTube, newsletters, online book clubs, library recommendations, and AI-powered recommendation tools. Many readers also rely on recommendations from friends or search for books that match a specific mood or trope.

Are genre-based recommendations becoming less important?

Not at all. Genres are still an important way to organise books and help readers understand what to expect. However, many readers now combine genre with other preferences. For example, instead of searching for “fantasy novels,” they might search for “cosy fantasy with found family and magical creatures.”

What are book tropes?

Tropes are recurring story elements, character dynamics, or plot devices that appear across many books. Popular examples include enemies-to-lovers, found family, fake dating, slow burn, and chosen one. Unlike genres, tropes describe specific parts of a story rather than the overall category.

Why do readers search for books by mood?

Books often provide emotional experiences as much as entertainment. Some readers want comforting stories after a stressful week, while others look for books that will make them laugh, cry, or inspire them. Searching by mood helps readers find books that match how they want to feel.

Are personality-based book recommendations accurate?

Personality-based recommendations, such as books based on zodiac signs or Myers-Briggs types, are mainly designed for fun and discovery rather than scientific accuracy. Many readers enjoy them because they introduce books they might not have found through traditional searches.

How do AI book recommendation tools work?

AI recommendation tools analyse the information you provide, such as your favourite books, films, genres, or themes, and suggest titles with similar characteristics. Unlike traditional search engines, many AI tools can understand natural-language requests like, “Recommend a hopeful fantasy with strong friendships and minimal romance.”

How can I find books similar to one I’ve loved?

One of the easiest ways is to search for “books like” followed by the title or author. You can also look for recommendations based on shared themes, tropes, character types, or emotional tone instead of focusing only on genre. Online reading communities, librarians, book bloggers, and AI recommendation tools can also help you discover similar reads.

Should I choose books based on trends?

Trends can be a great way to discover books you might otherwise miss, but they shouldn’t be your only guide. The best reading experiences often come from exploring stories that genuinely match your interests, whether they’re bestselling new releases or lesser-known gems recommended by fellow readers.