SEO used to be the ultimate growth lever—offering massive “free” traffic to marketers who could outsmart the algorithm. But in 2025, it's a different game.

In this episode, I’m joined by Gaetano DiNardi—an SEO strategist with deep experience across B2B SaaS—to unpack how AI is reshaping the search landscape.

We discuss:

• The SEO playbook for 2025
• How zero-click search is impacting real-world traffic
• Why brand is actually a competitive moat for SEO
• How to appear in AI search previews and LLM recommendations
• When a startup should consider SEO
• How to optimize content for the top, middle, and bottom of the funnel

Whether you’re running SEO for an enterprise brand or figuring out your growth strategy as a founder, this conversation will help you recalibrate your approach to search in the age of AI.

Gaetano DiNardi is an SEO expert and principal consultant at Marketing Advice.

He’s spent over a decade in B2B marketing, helping 50+ SaaS companies drive growth and demand. He’s battled in some of the most competitive trenches out there—categories like identity theft, business VoIP, employee monitoring, insider threat detection, LMS software, and more.

You can find him sharing lessons from the field on LinkedIn and Substack.

• [00:00] - Introduction
• [01:24] - Evolution of search over the past 10 years
• [04:09] - Impact of brand on rankings
• [05:36] - Did SEO degrade search quality?
• [11:30] - Impact of zero-click results
• [20:28] - How to get recommended in AI preview
• [34:15] - When should a startup focus on SEO?
• [41:39] - SEO for TOFU, MOFU, and BOFU

• Marketing Advice
• Marketing Advice Substack
• Scrunch AI - Brand monitoring for AI search
• What is Brand Authority and How Is It Calculated? - Moz

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AI agents are everywhere in conversation right now—but what actually makes them work? It’s not just slapping a large language model into a workflow and calling it a day. Under the hood, real agentic systems operate differently. They make decisions. They adapt. They break out of rigid if-this-then-that logic and enter something closer to human judgment.

In this episode, I talk with Daniel Vassilev, co-founder of Relevance AI, a platform purpose-built for building and deploying true agents. We dig deep into how agentic systems are structured—from core instructions to tool orchestration—and how that foundation changes what’s possible. Daniel explains the difference between automation and autonomy in clear, practical terms that any builder, founder, or operator can understand.

We also explore real-world use cases: where agents shine today, where they fall short, and how teams are already using them to 10x output without ballooning headcount. Whether you’re dabbling in LLM workflows or ready to rethink how your company works entirely, this conversation will level up your mental model.

If you’ve been wondering where the hype ends and the real architecture begins—this is the episode.

Daniel Vassilev is Co-Founder and Co-CEO of Relevance AI, a platform to develop commercial-grade multi-agent systems to power your business. With a background in software engineering, he previously created, grew and monetised two apps to a combined 7 million users, reaching #1 on the App Store top free.

• [00:00] - Introduction
• [01:31] - Defining agentic AI
• [03:28] - AI in linear workflows vs. agentic systems
• [08:19] - How agents work under the hood
• [11:24] - Always-on agents
• [13:43] - Selecting the right tasks for agentic AI
• [17:42] - Copilot vs. Autopilot
• [22:44] - Are there tasks we should never delegate to AI?
• [25:03] - Coolest use cases
• [34:30] - Agent memory and continual improvement
• [37:55] - Compounding effect of agent teams
• [41:39] - Relevance the company and platform

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Disclosure: I am using an affiliate link for Relevance AI, which means I earn a small bonus if you sign up through my content.

Not many people make it to VP of Marketing Operations—Kimi Corrigan has done it twice. In this episode, she shares her journey from marketing coordinator to leading marketing ops at companies like Duo Security, Cisco, Wiz, Expel, and DataRobot. We dive into what it really takes to reach VP level, how to position yourself for leadership, and why marketing ops pros should start asking for that title.

Kimi also gets real about the challenges of scaling teams, navigating internal politics, and balancing the tactical with the strategic. We talk about how marketing ops has evolved, the role of data and strategy, and why building strong cross-functional relationships is just as important as knowing your way around a tech stack.

If you're a marketing ops pro wondering what’s next in your career—or how to level up—this one’s for you.

With over 19 years in marketing operations and leadership, Kimi Corrigan thrives on optimizing marketing strategies for efficiency and effectiveness.

Kimi has held marketing ops leadershiop roles at Duo Security, Cisco, Wiz, Expel, and DataRobot.

https://www.linkedin.com/in/kimicorrigan/

• [00:53] - How Kimi got started in marketing operations
• [03:04] - Early-generation marketing automation
• [05:54] - How you know if MOPS is working well
• [10:11] - Navigating people and organizational problems
• [16:51] - Becoming a VP Marketing Ops
• [22:31] - Operations and strategy
• [33:47] - Composable stacks vs. suites
• [37:51] - MOPS team structure
• [39:50] - Planning cycle

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