LLM Mastery: the book
Jabez Reuben is one of seven co-authors of LLM Mastery: How AI Recommends Brands for LLM Domination.
Seven authors · one practical book
Jabez Reuben is a co-author of LLM Mastery: How AI Recommends Brands for LLM Domination.
The book explores how AI systems assemble answers and decide which brands to recommend. It connects the recommendation process with testing, content, entity foundations, third-party coverage and measurement.
- Publisher
- Omnipressent
- First published
- 23 September 2026
- Format
- Ebook
- Amazon ASIN
- B0HKR7SDCJ
The seven credited authors
AI James Dooley, Jabez Reuben, Mike Lovatt, Paul Truscott, Peter Victor Jones, Charles Floate and Rollo Unden. The official author guide identifies AI James Dooley as James Dooley’s digital avatar and gives Peter Jones as an alternate printed form of Peter Victor Jones.
What readers can explore
The opening chapters explain the recommendation pipeline, differences between systems, the Test Test Test method and research inputs. Later chapters discuss content, entity foundations, external signals, buyer queries and ongoing measurement. The official website provides a free opening excerpt and chapter guide.
For a practical introduction here, read how AI recommends brands and how to measure visibility.
The book and the conference
LLM Mastery is also the name of the event series founded by Jabez. The book and the conference are separate offerings. Visit our conference page for the current event listing.
References: Official press kit · All seven authors.