Readalikes

Readalikes

Discover books similar to your favorites without algorithms

similartobooks
@similartobooks
Published on Apr 28, 2026
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3 PeerPush
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Details

Pricing
Free
Platforms

Discovery signals

How AI and people discover Readalikes on PeerPush

Read by AI engines 30dEngines readingHow many times AI crawlers read this listing, and which engines those crawlers belong to.
238
  • ChatGPT
  • Perplexity
  • Claude
  • +4 other AI crawlers

Reads by these AI engines

Crawlers behind these engines read this listing on PeerPush.
PersistenceRead streakConsecutive days, counting back from today, that AI has read this listing every single day.
103 days

Read by AI every day

Read by AI every day for the last 103 days.
Search index 90dSearch indexTimes a search engine AI indexer, such as OAI-SearchBot, crawled this listing.
987 crawls

ChatGPT Search indexer

By OAI-SearchBot, the ChatGPT Search indexer, in the last 90 days.

About Readalikes

Figuring out what to read next is way more painful than it needs to be. Goodreads and Amazon just show what's popular in a genre. And asking Reddit can be overwhelming and result in almost too many suggestions. So we built Similar To to help you find your next great read with the help of community, celebrity, and AI book recommendations. Our AI recommends books based on your description of what you are looking for, previous books you've loved, and your Goodreads reading history. And our community aspect is simple! You can recommend a book like you would recommend one to a friend. Our books are then ranked based on most recommended, not star ratings. This human-centric approach to book discovery ensures high-quality recommendations to help you navigate your reading journey more effectively.

Product Video

Watch a video demo of Readalikes.

Screenshots

Screenshot 1 of Readalikes

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Comments (1)

chaudharyarun5797
@chaudharyarun5797

Book discovery without algorithm bias is something readers have wanted for a while. Curated similarity based on actual content and themes beats popularity-driven recommendations every time.