AI native marketing | Online course: Create research-backed and search-optimized content
Build the Claude Code SEO workflow CXL runs on its own blog
Build a Claude Code content and SEO system connected to your GSC, GA4, and content workflows.
- Pull 90-day Google Search Console data automatically to identify the biggest risks, opportunities, and pages to focus on.
- Scrape competitor articles that outrank you and identify missing topics, sections, and content gaps.
- Create an AI writing system using tone of voice guidelines, writing examples, and brand references so AI can write more like your team.
- Set up automated weekly reports through Slack or email to track rankings, traffic, CTR drops, and content performance.
- Connect GSC and GA4 data to identify what content should be refreshed, prioritized, or improved and understand why.
Trusted by marketers at
Your weekly SEO cycle takes hours. The CXL version takes minutes.
Pulling GSC data, clustering keywords, writing briefs, and auditing old posts are all repeatable.
When they stay manual, they eat the time your team needs for actual content work, and the opportunities they surface go stale before anyone acts on them.
Every workflow in this course is based on the system CXL runs on its own blog.
Course overview | Watch it on your schedule
Lesson 01: Build custom marketing agents for specific B2B campaign tracks
Learn to design SEO marketing workflows as agent systems. Map a B2B campaign track into decisions agents make and actions skills execute, setting the foundation for intelligent campaign automation.
- Break down a campaign track into repeatable decision points and executable actions
- Distinguish between agents and skills
- Define inputs, tools, and outputs for each workflow component
- Design your first campaign agent system on paper
- Understand the dependencies before connecting real data and content systems
Lesson 02: Connect AI to live data sources
Your agents are only as smart as the data they see. Connect them to live performance data so they spot opportunities and recommend actions based on what’s working in your campaigns.
- Identify the data sources your agents need to make informed decisions
- Use MCP and connectors to plug agents into your team’s existing tools
- Set up GSC and GA4 integrations for live performance visibility
- Build agent logic that turns raw data into actionable priorities
Lesson 03: Take research to brand-aligned content
From brand guidelines to a working content system. Build agents and skills that embed your tone, SEO strategy, and fact-checking so your system produces research-backed drafts shaped by your brand, not generic AI.
- Define brand context agents need: tone, examples, SEO standards, fact-checking criteria
- Structure different agents for different jobs: research, drafting, quality review
- Build templates and prompts so agents produce work that sounds like you
- Test and refine outputs so they consistently reflect your positioning
Lesson 04: Build content refresh systems based on competitor analysis
Build a system that watches your competitors and the search landscape so you know exactly which content to refresh and why. Stay current without manual audits.
- Monitor competitor content changes and spot gaps in yours
- Identify sections that are outdated or underperforming
- Build specialized agents for different parts of the refresh workflow
- Set up regular scans so content updates happen on schedule
- Keep your catalog current without constant manual reviews
Lesson 05: Summarize analytics and create weekly reports
Much time is wasted on manual reporting. Build agents that pull your performance data, spot trends and gaps, and deliver formatted weekly summaries so your team always knows what’s working and what needs attention.
- Design a reporting agent that pulls data from GA4, GSC, and other sources
- Turn raw analytics into insights that highlight trends and opportunities
- Format reports automatically so stakeholders get consistent, actionable summaries
- Schedule weekly runs so reporting becomes hands-off
- Build feedback loops so insights drive action throughout your team
Join our next AI native marketer cohort
Six weeks. Five working workflows. Starts 28 September 2026.
4PM CEST / 9AM CDT / 2PM UTC
Marketing Brain
You buildA context system on a GitHub repository: your ICP, positioning, voice and proof, wired into Claude Code and n8n via MCP, which connects AI to your tools.
It replacesPasting context into every prompt, and the generic drafts that come back when you don’t.
4PM CEST / 9AM CDT / 2PM UTC
Campaign engine with a quality gate
You buildAn automated workflow: one brief in, a full campaign out (emails, social, enablement, sequences) with sources and a brand voice check before it ships.
It replacesThe generic first draft, and the reviewer who catches what AI made up.
4PM CEST / 9AM CDT / 2PM UTC
AI visibility and AI-era measurement
You buildA share-of-model baseline, how often ChatGPT, Gemini and Perplexity name you, plus AI traffic grouped in GA4 and a citation-gap list of pages to write.
It replacesThe SEO specialist’s monthly report, which misses where buyers now shortlist.
3PM CET / 9AM CDT / 2PM UTC
Marketing insight and reporting agent
You buildAn agent that reads your ad platforms, GA4, CRM and email, then posts one weekly summary: what changed, why it matters, what to do about it.
It replacesThe weekly report you build by hand, and the analyst who explains it.
4PM CET / 9AM CST / 3PM UTC
Company Marketing Brain
You buildThe same context system customized for your team: one versioned source every AI tool draws from, with permissions and a rollout plan.
It replacesEveryone’s private prompts, and the colleague who knows where the answer lives.
Build one AI native workflow every week that you use at work.
You build a context brain your AI draws from, a campaign engine with a quality gate, an AI search visibility baseline, a weekly reporting agent, and the team version of the brain.
Meet your instructors
CXL is where you learn to ship what’s working today.
You get training built for execution.
Led by the top 1% of marketers from leading brands and agencies.
Every course is designed for tangible outcomes: higher conversion rates, faster growth, and smarter decisions. Based on what’s truly filling pipelines, generating demand, and building brands that dominate their categories.
You’re not learning theory. You’re shipping what’s already proven to work.
Here’s why marketers choose CXL
Need some more convincing?
Listen to this agency owner explain why he trains his team at CXL
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