How Cody Schneider Uses AI Agents to Automate SEO, Ads & Growth

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Mar 12, 2026

Cody Schneider, growth strategist and founder building AI-driven marketing and data infrastructure. He explains using Search Console feedback loops, AI agents that refresh and publish content, and systems for automating ads, experiments, and analytics. He covers internal linking, tracking conversions, scaling publishing while avoiding AI slop, and when heavy automated publishing makes sense.

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ANECDOTE

400k Clicks Then Decay When Maintenance Stops

Cody scaled a site's Excel/how-to category from zero to 400k clicks/month in ~12 months using targeted content and maintenance.
Traffic collapsed after the operator left because nobody maintained the content, showing content is a living product.

ADVICE

Buy Cheap Ads To Recruit Link Exchanges

Scale low-cost link building by running cheap Twitter ads to recruit sites for link exchanges and filter for high-value partners.
Link to their site from an asset and have them link back to a targeted asset to create a triangular exchange that passes value.

INSIGHT

Citations Outrank Volume For AI Search Influence

For AI answer engines, citation relevance (how often a source appears across query fanouts) matters more than sheer brand mentions.
Prioritize getting into the top 10 most-cited sources in your niche to influence AI results and rank stacking.

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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 - https://x.com/codyschneiderxx ⭐️ Cody Schneider on YouTube - https://www.youtube.com/@codyschneiderx ⭐️ Cody Schneider's company, Graphed - https://www.graphed.com/

💰 Edward's SEO Articles - https://edwardsturm.com/articles/search-engine-optimization/

💎 Compact Keywords - My SEO Course - Get paying customers through SEO - Clear step-by-step video breakdowns - SEO templates to be copied and adapted for your products and services: https://compactkeywords.com/

00:00 Intro 00:20 Google Search Console Refresh Loop 02:24 Automating With Data Pipelines 04:02 Relevance Over Volume 07:12 AI Article Production System 08:20 CTAs And Conversion Tracking 10:38 TLDR Above The Fold 11:36 Free Assets And Engagement Signals 15:32 Prompting For Quality Output 20:26 Agent Harnesses And Model Clones 25:18 Wins, Link Exchanges, And Case Study 29:43 Newsjacking For Fast Traffic 35:21 AEO Citation Strategy 38:49 Publishing Velocity On New Sites 41:38 Batch Publish Then Rewrite 43:21 Avoiding Mount AI Penalties 44:53 Keyword Selection At Scale 47:47 Brand Signals And Trust 49:51 Landing Pages Beat Blog Posts 52:42 Warehouse Ontology For Agents 59:10 Model Changes And Retooling 01:00:28 OpenClaw Hype Versus Outcomes 01:05:58 Build Personal Agents With Code 01:14:45 Reducing Hallucinations With Context 01:18:57 Cricut SVG Business 01:19:45 AI Speeding Up Sites 01:21:05 Long Cut SEO Wins 01:24:13 Safe SEO Experiments 01:26:09 Marketing Mix Stability 01:27:45 Social Algorithms And Slop 01:31:38 Short Form Versus Long 01:37:15 LinkedIn Video Playbook 01:39:52 From Idaho To Growth 01:45:32 Cloud Code Workflow Alpha 01:50:52 Agents And The Future 01:51:50 Where To Find Cody

The Edward Show. Your daily search engine optimization podcast: https://edwardsturm.com/the-edward-show/

#growthhacking #searchengineoptimization #growthmarketing #digitalmarketing