Episode Details

E981: Growth strategist Cody Schneider joins the show to discuss how AI agents are changing the way marketing, SEO, and product growth work.

Cody explains how he builds automated workflows that analyze Search Console data, refresh content, generate new articles, run marketing experiments, and even manage advertising campaigns. The conversation covers practical systems for scaling SEO, building internal data infrastructure, and using AI to automate repetitive work while maintaining high-quality output.

The episode also explores how content strategies are evolving in 2026, how to avoid common mistakes with AI-generated content, and why many marketers are focusing on the wrong tools instead of building repeatable systems.

Topics covered: - Cody Schneider's SEO workflow using Search Console data as a feedback loop - How to find easy keywords by analyzing page two and page three rankings - Using AI agents to refresh content and increase organic traffic - Why updating content can produce quick ranking improvements - Building internal linking strategies that help pages rank faster - Using AI to generate outlines and write content section-by-section - The role of personal experience and transcripts in improving AI-generated content - Why relevance to your product matters more than raw traffic - Lessons from large sites like HubSpot that expanded content too broadly - How to structure blog pages with TLDR sections and strong calls to action - Tracking conversions from blog content using Google Tag Manager and Google Analytics - Building dashboards to monitor organic growth and user behavior - Why branded search is a key signal for sustainable SEO growth - How Cody publishes large volumes of content while maintaining performance - Experiments with publishing thousands of articles and managing them over time - Strategies for avoiding common AI SEO pitfalls such as "mount AI" traffic spikes - Why maintaining content and refreshing pages is critical for long-term rankings - A practical link-building method using low-cost advertising and link exchanges - The growing importance of citations for AI search results and answer engines - How AI tools like ChatGPT and Claude choose sources for citations - Why getting mentioned in authoritative sources can dramatically increase visibility in AI results - Using newsjacking to capture search demand around emerging topics - Examples of using trending news to drive traffic and awareness - Why combining SEO, social distribution, and PR strategies creates stronger growth loops

The discussion also explores AI infrastructure and the systems Cody uses behind the scenes: - Building data pipelines that combine Search Console, analytics, and advertising data - Using data warehouses and semantic layers to organize marketing data - Creating conversational analytics systems that allow AI to analyze performance data - Using AI to categorize traffic, identify patterns, and generate reports - Building agents that can run marketing workflows automatically

Cody also explains his philosophy around automation and AI agents: - Why most people focus on tools instead of outcomes - How to design agents that run marketing loops such as testing, measuring, and iterating - The difference between general-purpose AI tools and custom automation systems - Why many AI tools create unnecessary complexity - How building small, focused agents can produce better results

The episode closes with a discussion about the future of marketing workflows and how AI agents may replace many repetitive roles in growth teams. Cody shares examples of agents that can manage email triage, generate marketing content, schedule posts, analyze campaigns, and run advertising experiments with minimal human input.

⭐️ Cody Schneider on LinkedIn - https://www.linkedin.com/in/codyxschneider/ ⭐️ Cody Schneider on 𝕏 -

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