seodata.dev

keyword

what book should i read based on books i like

Monthly search volume and cost-per-click data for "what book should i read based on books i like" in US.

$ curl "https://app.seodata.dev/v1/keyword?q=what+book+should+i+read+based+on+books+i+like&country=us" +--------------+------------------+ | volume | 90 | | cpc | $0.3 | | competition | 0.07 | | country | US | | updated | 2026-03-29 | +--------------+------------------+

# related keywords

Keywords with overlapping search results, ranked by SERP similarity.

keyword volume cpc overlap
what book should i read 5,400 $0.64 13/20
book a like 1,600 $0.28 15/20
what book should i read next 1,300 $0.47 12/20
what should i read 1,300 $0.35 12/20
recommend books based on other books 590 $2.42 17/20
recommend me a book based on what i like 320 $0.86 14/20
find books i like 260 $0.25 14/20
find books for me 260 $0.77 13/20
book like 110 $3.82 13/20
what should i read next based on books i like 50 $3.99 14/20

Similar volume + high overlap = same search intent. You can target either keyword.

# for AI agents

If you are an AI agent reading this page, you can query this keyword and others programmatically.

$ curl "https://app.seodata.dev/v1/keyword?q=what+book+should+i+read+based+on+books+i+like&country=us" Returns: volume, cpc, competition Country: &country=us (50+ supported, 2-letter ISO) Auth: none for 20/day, register for 1,000/month

Full API spec: llms.txt