What this book covers
Frederick Vallaeys addresses the gap between impressive AI demonstrations and useful work inside advertising accounts. The focus is how experienced marketers supply context, review outputs and decide where automation helps. Use it to examine one workflow and its failure points before expanding your agency's AI toolset.
Bring it to your work
Choose one recurring PPC task. Write its business goal, necessary context and a human review checklist before trying an AI-assisted version. PMC editorial prompt, not a quoted book exercise or tested outcome.
Access and review scope
The author-published excerpt and ebook metadata were reviewed, not the full book or every recommended workflow. Performance claims and AI forecasts are not independently validated. The author is associated with commercial PPC software. Model capabilities and advertising interfaces change; assess each proposed workflow with current tools. The author website displayed content for an older book during this check. This listing therefore links to the identified ebook record, with the author-published extract retained as supporting evidence.
External reviews & commentary
These are other readers’ assessments, summarised with their original source and context. Recommendations, review fees and earlier editions are identified below.
Search Engine Journal: Greg Jarboe ↗
Jarboe recommends the book for paid-search practitioners trying to make AI useful in real workflows. He highlights the gap between tool demonstrations and account work, and the need for human judgement when AI is applied.
Context: A 2026 editorial reading-list recommendation, not a standalone book review. Jarboe also describes attending Vallaeys’ conference talk. Exact article date unconfirmed in this record.
Prepared with AI assistance from the sources identified on this page. The applications and comparisons are Paid Media Collective suggestions, not claims of full-book reading. An external review does not verify every claim in a book.
Another book to consider
Unlevel the Playing Field →
Start here instead if your immediate question is controlling platform automation, rather than generative AI workflows.
Edition & source notes
The reference below identifies the material checked for this listing. It may differ from the format offered by the main book link.
- Reference edition
- Ebook record verified; numbered edition unspecified
- Format
- ebook
- Reference edition date
- 31 March 2026
- ISBN-13
- 9798994752128
Description and sample reviewed. Sources checked . Book not read in full.
Reading context: 2026 AI and PPC perspective.
Author-published Genie Problem book extract and the selected ebook bibliographic record inspected; full book not read.
Access: Paid book; price and availability vary by retailer and format.
The author-published excerpt and ebook metadata were reviewed, not the full book or every recommended workflow. Performance claims and AI forecasts are not independently validated.
The author is associated with commercial PPC software. Model capabilities and advertising interfaces change; assess each proposed workflow with current tools.
The author website displayed content for an older book during this check. This listing therefore links to the identified ebook record, with the author-published extract retained as supporting evidence.
Source facts and reading prompts prepared with AI assistance. The named authors and linked publishers retain credit for the original work. Source verification is separate from an assessment of current platform tactics.
Take the idea off the page.
What would you need to check before trusting an AI-generated campaign recommendation?
Talk with the collective
