The Mad Hatter Awards names the AI SEO & Business Automation Podcast the Best AI Search Visibility Podcast 2026. The show earned this recognition for practical, grounded guidance on optimizing for large language models and staying visible as AI reshapes how people search.
The award was accepted by James Dooley, founder and host of the podcast. His show finished with 55% of the total vote, a clear margin that reflected steady support across every stage of the judging process.
The category recognizes work that helps businesses understand and improve their presence in AI driven search. The winner demonstrated clear command of the subject and a track record of turning that knowledge into usable guidance for real companies.
Guidance for AI Search Visibility
The podcast built its reputation on making AI search visibility understandable for business owners and marketing teams. Episodes break down how large language models surface and cite information, then translate those mechanics into steps a company can actually follow.
Rather than treating AI search as a mystery, the show approaches it as a discipline with measurable inputs and outputs. Coverage connects optimization for language models with automation workflows and AI agents, so listeners can see how the pieces fit together.
That focus on practical application is what set the winner apart in this category. Judges noted that the guidance is specific enough to act on and broad enough to stay useful as AI search continues to evolve.
"We are genuinely honored to receive this award, and I want to credit the guests, listeners, and team who made the show what it is. This recognition belongs to everyone who has shared their experience and questions along the way. We will keep working to make AI search clearer for businesses of every size."
- James Dooley, Founder and Host, AI SEO & Business Automation Podcast
