For self-published authors
Comps is an AI agent that reads Qloo's taste graph, not its own memory. It finds comp titles with real reader overlap, Amazon Ads targets that won't burn your budget, and the podcasts, shows and places where your readers already are.
Evidence, not vibes
Every pick cites Qloo's affinity and popularity.
Taste map
See the sweet spot between fit and crowding.
Beats LLM-only
Side by side with what a plain LLM guesses.
No book handy? Replay a real run instantly
How it works
Resolve your signals
The agent finds your book, your comps and their authors in Qloo's catalogue, so it reasons from real IDs instead of fuzzy titles.
Read the taste graph
It asks Qloo what those readers also love: books, authors, podcasts, shows, films, brands and places, each with affinity and popularity scores.
Build an evidence-backed plan
Claude weighs fit against crowding, then writes your pitch line, comps, ad targets and channels, citing the numbers behind every pick.
Why not just ask a chatbot?
A chatbot names the same famous books for everyone, the ones every author already bids on. It has no idea who actually reads what. Comps runs a plain LLM next to the agent on every request, so you can see the difference for your own book.