Google Maps just got a conversational AI layer and it changes the game for local search. This episode breaks down Ask Maps, Google's new Gemini-powered discovery feature, and what it means for agencies still running the old local SEO playbook. You'll walk away with a clear framework for auditing your clients' local presence for AI recommendation readiness, rethinking how reviews and business profiles function in a dialogue-driven world, and reframing reporting when fewer discovery journeys produce a click. If you manage local for clients, this one is worth your full attention.

The search funnel isn't just shrinking. It's collapsing into a single conversation. A buyer asks an AI to compare options, surface deal breakers, and reduce risk and the model returns an answer that cites a handful of sources and moves on. Your brand is either in that answer, or it's invisible.

In this episode, we break down the three highest leverage content formats that consistently earn AI citations in competitive categories right now: date stamped comparison pages that signal recency, deal breaker sections engineered for fast retrieval, and footer and AI info page patterns that function as a brand knowledge packet.

You'll learn why comparison pages are now part of your sales motion (not just SEO), how to write deal breaker content in the crisp, quotable style that models actually cite, and why your website footer, long treated as dead space, has become a front line brand representation surface.

If you're a CMO, agency owner, or content strategist trying to get ahead of the shift to AI driven search, this episode is your starting point.

Key takeaway: In 2026, format is strategy. The brands that win won't just rank. They'll be the sources AI trusts enough to quote.

LinkedIn just became one of the most important search channels in B2B marketing. Most teams are still using it like it's 2019.

While traditional SEO gets squeezed by AI Overviews and zero-click searches, LinkedIn has quietly turned into a dual-threat asset, dominating Google SERPs for high-intent B2B terms and becoming one of the most-cited sources by LLMs like ChatGPT and Perplexity. Citations of LinkedIn content by AI systems are up over 400%. Its domain now appears in nearly 1 in 5 top-10 Google results for B2B queries. And in June 2025, the platform's algorithm shifted from recency to relevance meaning well-optimized content can keep surfacing for months after it's published.

In this episode, we break down what's actually driving LinkedIn's rise as a search and AI discovery channel, and what B2B marketers need to do differently because of it.

We cover why LinkedIn Pulse articles have become a primary source for LLM citations, how paid amplification on LinkedIn triggers organic relevance signals that extend content life well beyond the campaign, and why the platform is effectively acting as a parasite SEO powerhouse for brands that can't rank on their own domain. We also get into the nuance, including why some LinkedIn content is seeing significant drops in direct traffic even as AI visibility climbs.

In an AI-first world, LinkedIn isn't just a social channel. It's where authority gets built and where AI goes looking for answers.

While everyone's debating what AI is doing to Google, a different search engine is quietly becoming one of the most valuable organic channels in digital marketing.

YouTube processes over 3.5 billion searches every day. It's deeply integrated into Google's ecosystem. Its videos are 200 times more likely to surface in AI-driven search results than other video formats. And most agencies are still treating it like a social platform.

In this episode, we make the case for YouTube Search as a strategic growth engine and break down exactly how agencies should be deploying it for clients right now.

We cover why YouTube's algorithm has shifted away from keyword density toward behavioral signals like retention rate and intent matching, how the "pre-qualification effect" makes video search traffic convert differently than traffic from any other channel, and why a single well-optimized video can keep generating leads for years. We also get into the tactical side — spoken keyword optimization, using Shorts to capture top-of-funnel micro-intent, and how to structure topic clusters that the algorithm actually rewards.

In a zero-click world where traditional organic visibility is getting harder to defend, YouTube Search is one of the few channels where the arbitrage opportunity is still wide open.

The traffic numbers look fine. The revenue story is more complicated.

AI-powered search is no longer coming, it's already reshaping how users find information, evaluate brands, and decide what to buy. AI search traffic is up over 500% year over year. Zero-click searches now account for roughly 60% of all queries. And the attribution models most marketing teams are still relying on? They were built for a different internet.

In this episode, we get into the actual data behind AI's impact on search — what's changing, what it means for organic traffic, and why the businesses that adapt fastest have a real advantage over the ones waiting to see how it plays out.

We cover why AI search visitors convert at dramatically higher rates than traditional organic traffic, how zero-click search is forcing a complete rethink of what a "high-value URL" actually means, and why last-click attribution is quietly causing teams to undervalue their most important pages. We also break down the shift from SEO to Generative Engine Optimization — what it is, why traditional brand strength no longer guarantees AI visibility, and what a smarter content strategy looks like in this environment.

The data is clear. The question is whether your strategy has caught up.

Your leads are coming from AI. Your attribution model has no idea.

As more consumers turn to ChatGPT, Google AI, and other large language models to research products and make decisions, a growing portion of your pipeline is being influenced by interactions that never show up in your analytics. No click. No UTM parameter. No referral source. Just a direct visit from someone who already made up their mind thanks to an AI recommendation you can't see.

In this episode, we break down why traditional attribution models are failing in an LLM-driven world and what marketers actually need to do about it.

We cover the "dark AI" problem and why so much LLM-influenced traffic looks like direct, the metrics that matter for AI visibility citation share, sentiment analysis, and brand voice consistency and how first-party data, schema markup, and RAG are becoming essential attribution infrastructure. We also get into multi-touch attribution for AI exposure, how to run incrementality studies to measure LLM-driven lift, and why asking customers directly is making a comeback.

If your attribution stack was built for a world where every touchpoint gets a click, this episode will show you what you're missing.

More content isn't always better. Sometimes it's the problem.

Most websites grow the same way pages get published to meet immediate needs, then never touched again. Blog posts drift. Landing pages go stale. Duplicate content piles up. And quietly, all of that dead weight starts dragging down the pages that actually matter.

In this episode, we break down content pruning, what it is, why it's one of the most underrated levers in SEO, and how to do it without accidentally killing pages that are driving revenue.

We cover how low-quality and outdated content dilutes your topical authority and wastes crawl budget, why branded and non-branded content require completely different pruning strategies, and which metrics actually tell you whether a page should be kept, updated, consolidated, or cut. We also walk through the most common pruning mistakes, including the ones that look like progress but quietly cost you rankings and link equity.

If your site has been growing for years without a real content audit, this episode is your starting point.