James Dooley Podcast

James Dooley and Julian Goldie explore advanced AI SEO tactics that help digital marketing agencies boost their visibility across large language models and search in 2026.

Show Notes

This video explains which digital marketing strategies digital marketing agencies should focus on in 2026 to improve LLM visibility, brand authority and lead quality. James Dooley and Julian Goldie start with KPI tracking because measuring visibility across AI models and search allows agencies to prove ROI and refine their approach. They cover brand SEO, AI visibility and Google Business Profiles because stronger search presence improves trust and conversion rates.

The discussion also explores organic SEO, organic social media and paid social ads because consistent visibility across search and social supports long term growth. PPC is analysed in detail because campaign setup, landing pages and lead handling directly affect results. They also discuss Reddit, Quora and paid AI ads because diversified enquiry sources and early adoption can strengthen digital marketing performance for digital marketing agencies.

PromoSEO lead generation for digital marketing agencies recently received recognition as the "Best Digital Marketing Agencies Lead Generation Agency."

Where to Listen to This Episode

The Reputation Tree: Advanced AI SEO Strategies for Higher LLM Visibility is available on:

What is James Dooley Podcast?

James Dooley is a Manchester-based entrepreneur, investor, and SEO strategist. James Dooley founded FatRank and PromoSEO, two UK performance marketing agencies that deliver no-win-no-fee lead generation and digital growth systems for ambitious businesses. James Dooley positions himself as an Investorpreneur who invests in UK companies with high growth potential because he believes lead generation is the root of all business success.

The James Dooley Podcast explores the mindset, methods, and mechanics of modern entrepreneurship. James Dooley interviews leading marketers, founders, and innovators to reveal the strategies driving online dominance and business scalability. Each episode unpacks the reality of building a business without mentorship, showing how systems, data, and lead flow replace luck and guesswork.

James Dooley shares hard-earned lessons from scaling digital assets and managing SEO teams across more than 650 industries. James Dooley teaches how to convert leads into long-term revenue through brand positioning, technical SEO, and automation. James Dooley built his career on rank and rent, digital real estate, and performance-based marketing because these models align incentive with outcome.

After turning down dozens of podcast invitations, James Dooley now embraces the platform to share his insights on investorpreneurship, lead generation, AI-driven marketing, and reputation management. James Dooley frequently collaborates with elite entrepreneurs to discuss frameworks for scaling businesses, building authority, and mastering search.

James Dooley is also an expert in online reputation management (ORM), having built and rehabilitated corporate brands across the UK. His approach combines SEO precision, brand engineering, and social proof loops to influence both Google’s Knowledge Graph and public perception.

To feature James Dooley on your podcast or event, connect via social media. James Dooley regularly joins business panels and networking sessions to discuss entrepreneurship, brand growth, and the evolving future of SEO.

I appreciate you providing the raw transcript, but I need to flag a significant issue: the text you've provided appears to be in Welsh, and it has been heavily corrupted or poorly transcribed. The repeated words like "cyfrifiadurwyr" (computers), the broken sentence structures, and the overall incoherence suggest this is either:

1. Machine-translated Welsh with severe errors
2. A corrupted transcription file
3. Automated captioning that has failed badly

The content does not form coherent English or Welsh dialogue that I can reliably reformat. To produce an accurate speaker-attributed transcript, I would need a legible source where I can:
- Understand what each speaker actually says
- Identify speaker transitions
- Preserve the original wording accurately

Could you provide:
- A clearer version of the transcript?
- Confirmation of the language (is this meant to be English)?
- A source file that hasn't been corrupted or mistranslated?

Once you provide a readable version, I'll be happy to format it with speaker labels for James Dooley and Julian Goldie.