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.
Black Friday offer: 25% off, already applied. A year of CXL, this course included.
From CXL, trusted by 90,000+ marketers at companies like these:
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.
Black Friday offer: 25% off, already applied. A year of CXL, this course included.
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
Marketing Engineer: eight-week cohort, starts 11 January
Live Tuesdays, 3 PM UTC, to 9 March. With Diane Wiredu, Ann Smarty, Tyler Durman and Nick Christensen. Included in the annual plan.
Meet your instructors
Learn B2B marketing and AI by doing.
CXL is a B2B marketing training company focused on AI and conversion optimization. Marketers learn by doing: instead of setting time aside to watch courses, they build AI workflows, agents, landing pages and experiments on the work they already need to do, with live guidance from practitioners. Founded by Peep Laja.
This is what marketers said after our live workshops and courses
B2B eCommerce platform
Sales signed off the target in writing before the brief passed Gate 1. Five review rounds took the drafts to 87% and 96%.
Campaign engine
Co-Founder, Feral MKT
“That alone used to take me a whole day working in AI-assisted mode (more days without AI), since I had to write all the copy from scratch because I didn’t like what Claude used to give me. This time it took me about an hour.”
Campaign engine
Fractional CMO & GTM Strategist
“I fixed the site and Crunchbase last week and reran Build 1 this morning with the same questions, tools and judge. Accuracy went from 53% to 71%, and wrong answers went from three to none.”
AI visibility tracker
Social club for people 60+, pre-launch
A paid first dinner, to test whether older adults will pay for it themselves. All four channels reached ship after 9 fixes.
Campaign engine
Senior copywriter, elective healthcare agency
“I was really impressed with how it handled the copy, including adding a medical compliance check due to the industry I work in … I loved all of the quality checks and scoring, since I usually do that type of QA work manually.”
Campaign engine
Clinic management software
A campaign to win 50 demo or trial requests in 7 weeks: five channels, all drafted and through Gate 2.
Campaign engine
E-commerce & Brand Strategist
“I built a visual plugin on top of your Marketing Brain, two actually: Visual Brain for the brand’s visual direction and Product Visual for product image storyboards … I put my own brand through it and it already gives me something I can work with.”
Own plugins on Marketing Brain
AI-Forward Marketing Executive
“I was in your workshop 12 hours ago. I already have a workflow live… I feel like a freaking WIZARD!”
Last cohort
Fractional CMO practice, launching
Tested a new fractional CMO offer on her own website, using public data only.
Marketing Brain
Marketing Communications Manager, TXI
“Connecting my systems made the biggest difference. Pulling deals straight from our HubSpot CRM, plus Semrush data on our content, gave the ICP and the messaging real evidence instead of guesses.”
Marketing Brain
Director of Messaging
“Being able to identify valuable work to be done, build a workflow/agent to do it effectively and consistently, and deploy it across my team will be a skill that sets my team and I apart within the org.”
Workflows
Marketing agency for health clinics
Ran the brand book through it: every claim about the buyer came back tagged hypothesis or blank.
Marketing Brain
Content Strategist
“This course got me to take writing instructions seriously and tailor them to how I work. Before, I was mostly just chatting with AI. Now I’m trying to build actual workflows.”
Workflows
Founder, Mesh Creative Studios
“Biggest learning: the review forced me to stop claiming things I hadn’t proven yet.”
Campaign engine
Here is what other marketers said
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