Earn Coverage · Build Authority · Third Party Corroboration
Digital PR for AI Search: How Earned Coverage Builds Brand Visibility in ChatGPT, Gemini and Google AI
Every article ever written about your brand is now evidence in a trial you did not know was happening, and the jury is a machine. When a buyer asks ChatGPT, Gemini or Google AI who to trust, the answer is assembled from the coverage record of your market. Digital PR for AI Search is the method for making earned coverage count twice: once with the reader, once with the machine that will quote it to your next customer. Co-written by four practitioners in SEO, digital PR and AI visibility, including Peter Victor Jones.
Kindle · 4 co-authors
- Book Name
- Digital PR for AI Search: How Earned Coverage Builds Brand Visibility in ChatGPT, Gemini and Google AI
- Authors
- AI James Dooley, Peter Victor Jones, Paul Truscott and Ben Nicholls
- Publisher
- Omnipressent
- Format
- Kindle Edition
- Print Length
- 44 pages
- Date Published
- 7 November 2026
- Language
- English
- ASIN
- B0HQQDVZPS
- Official Website
- digitalprforaisearch.com
Inside Digital PR for AI Search
This is not a book about writing a better pitch. It assumes you can earn the coverage, and it has no patience for reporting reach.
Why coverage is evidence, not exposure
Reach decays in a week; a credible third party stating your facts compounds for years.
Why the paragraph replaced the link as the prize
Models read the sentence around a mention, not the anchor text.
Which publications the machines actually read
Build the target list from the sources AI answers cite, not a domain authority spreadsheet.
The brand sheet
One page of canonical facts that makes every journalist tell the same story.
Data studies, expert commentary and press releases
The three formats machines lift most readily, and how to build each so the attribution survives.
Consistency as the multiplier, and the coverage machines cannot use
Why ten placements that agree beat fifty that vary, and the eight kinds of placement that corroborate nothing.
From coverage to knowledge graph, and how to measure it
Presence, framing, consensus and citation share, tracked monthly.
The 90-day digital PR sprint
Audit, correct, place, study, measure.
Co-Authors of Digital PR for AI Search
All four practitioners who wrote Digital PR for AI Search: How Earned Coverage Builds Brand Visibility in ChatGPT, Gemini and Google AI.
AI James Dooley
Digital Avatar And Spokesperson Of LLM Leads
AI James Dooley is the digital avatar of James Dooley, the serial entrepreneur from Manchester who founded FatRank, PromoSEO and LLM Leads, and the UK's first AI influencer entrepreneur.
Visit aijamesdooley.co.uk/about-ai-james-dooley →
Peter Victor Jones
AI SEO And Lead Generation Specialist
Peter Victor Jones has worked in search since 2008 and created the ECHO framework along with the concepts of Entity Confidence and Share of Answer. He is co-director of ADI Leak Solutions and marketing director for a national home services brand, and the lead generation systems he has built across SEO and Google Ads bring in more than twenty thousand leads a year.
Visit petervjones.com →
Paul Truscott
Search Measurement Analyst
Paul Truscott trained as a financial technical analyst before he ever optimised a page, earning the IFTA Certified Financial Technician designation and the Bronwen Wood Memorial Prize for the best paper internationally. He has since generated more than 150,000 leads for home service businesses and created original search measurement frameworks including Citation RSI.
Visit paultruscott.com →
Ben Nicholls
Founder Of JamPrime And Co-Founder Of Jam Press
Ben Nicholls is a former national newspaper picture editor, co-founder of Jam Press and founder of JamPrime.
Visit www.jamprime.com →Where To Buy
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