James Dooley interviews Dan Petravich on how AI is changing link building for SEO. Dan explains why most outreach fails because links get forced into finished content, then shares how he trained machine learning models to predict natural link placement and detect obvious paid links. They cover unlinked brand mentions, why Gemini sometimes auto-links known entities, and why brand authority and knowledge graph presence now sit at the centre of modern link building strategy.

James Dooley speaks with Dan Petravvic about AI SEO and what it takes to rank in AI overviews and LLM driven search. Dan explains why SEO and GEO are not the same, why “generative engine optimisation” is a misleading label, and why AI SEO is the most practical framing for the industry. The conversation breaks down selection rate optimisation, model bias, and how tools like Treewalker.ai probe probabilistic outputs to find weak confidence points in brand understanding. Dan also explains why traditional SEO still matters because LLMs pull from top search results, why brand familiarity often beats technical hacks, and how user behaviour signals and multi channel marketing build the kind of notability models trust. The episode finishes with practical ideas around branded queries, persona based prompting, and Microsoft’s UserLM approach to simulating realistic user journeys.

In this discussion, James Dooley and Kazra Dash break down why speed to lead is one of the biggest factors in converting enquiries into paying customers. They explain how slow response times cause lead drop off, even when traffic and lead volume are strong. Using GoHighLevel CRM as the example, they walk through automated follow ups, workflows, email, SMS and WhatsApp responses that instantly engage prospects. Real world use cases show how acting within minutes improves contact rates, warms leads, and significantly increases conversion rates for lead generation and commission based business models.

In this GoHighLevel review, James Dooley is joined by Kasra Dash to explain why they believe GoHighLevel is the best CRM software for lead generation businesses. They break down how speed to lead, automated follow ups, and multi channel nurturing directly improve conversion rates, especially for commission based and no win no fee models. The discussion covers AI voice agents, conversation AI, automation workflows, multi step forms, WhatsApp and SMS integration, and why having everything in one platform simplifies GDPR compliance. Real world examples show how GoHighLevel replaces multiple tools while increasing efficiency, conversions, and profitability.

In this episode of James Dooley’s podcast, James speaks with Dan Petrovic about what it really means to be a dad entrepreneur in the age of artificial intelligence. Dan shares how raising a child alongside rapid AI adoption changes priorities, learning, and creativity. The discussion explores how children instinctively recognise AI generated content, why originality still matters, and how parents can prepare their kids for future careers without forcing a direction. Dan explains the importance of broad knowledge, avoiding mediocrity, and building true expertise in a world where AI will widen the gap between capable and incapable people. This conversation blends parenting, technology, and long term thinking in the AI era.

Want a clear view of where SEO is heading as AI takes over the front end of search. In this conversation, James Dooley sits down with Dan Petrovic to break down what actually drives visibility in LLM answers, AI Mode results, and RAG systems. Dan explains why “selection” matters more than clicks, how models pull short extracts rather than full pages, and why condensed, high-substance writing wins when the machine only sees a slice of your content. They dig into query fan out, why prompt tracking is mostly a distraction, and how to probe model confidence to find the weak spots in how AI understands your brand.

The episode also covers practical tactics for improving AI recommendations, including citation mining, lookalike content that matches what gets cited, and outreach strategies that get your brand included inside the sources AI already trusts. Dan shares a real case study showing the difference between fast wins through traditional SEO signals in grounding, versus slower influence that only appears when a new model version is released. If you care about brand visibility in 2026 search, this is a no-fluff blueprint for how to think and what to test.

In this episode, James Dooley is joined by Dawood Khan to break down AI search visibility and how brands get cited and recommended inside LLMs like ChatGPT, Claude, Perplexity, and Gemini AI Overviews. The discussion moves beyond traditional SEO into omni-channel brand visibility, explaining why platforms such as Reddit, Quora, and Facebook now play a critical role in AI-driven discovery. Dawood explains how LLMs use external citations, how brand mentions influence rankings, and why branded searches and clicks are becoming a dominant signal. The episode connects AI recommendations, brand building, and real commercial outcomes heading into 2026.

In this episode, James Dooley sits down with Daward Khan, founder of crowdreply.io and crowdscale.ai, to break down how Reddit marketing now fits into modern SEO. They discuss why Reddit threads are increasingly dominating search results, how user behaviour has shifted away from long-form affiliate content, and why brands, SaaS companies, and local businesses are turning to Reddit for visibility, trust, and conversions.

The conversation covers how Reddit karma and account age influence comment visibility, the role of upvotes in ranking comments, and why subtle brand mentions outperform aggressive promotion. Daward explains how crowdreply.io enables scalable Reddit engagement through aged, high-karma accounts, while crowdscale.ai provides a fully managed service for brands that want hands-off Reddit growth.

The episode also explores how Reddit impacts AI search platforms such as ChatGPT and Perplexity, why Reddit is a key citation source for LLMs, and how businesses can use Reddit for brand reputation management, local SEO, SaaS growth, and long-term organic visibility heading into 2026.