CXL

06/02/2026

We analyzed 1,750 marketing job openings across January and May 2026.
In just four months, the percentage of marketing roles mentioning AI jumped from 30% → 37%.

But the bigger shift wasn’t just more AI mentions.
It was how companies talk about AI.

Mentions of:
- “AI tools / tooling” increased (5% → 15%)
- “Automation” also increased (13% → 21%)
- The market is moving away from vague AI buzzwords and toward practical ex*****on.

Employers increasingly expect marketers to:
- Use AI tools in real workflows
- Automate repetitive work
- Build systems
- Execute faster without sacrificing quality

AI is no longer becoming a “nice-to-have” skill in marketing.
It’s increasingly becoming an operational expectation.

05/26/2026

AI is changing marketing faster than most teams can adapt.

The best marketers today are no longer just campaign managers, copywriters, or channel specialists.
A new type of marketer is emerging: the AI-native marketer.

In this webinar, we’ll break down:
→ What AI-native marketing actually means
→ Which skills are becoming more valuable
→ Why prompting, workflows, systems thinking, and experimentation matter more than ever
→ The shift from “doing tasks” to “designing systems”

If you're experiencing AI FOMO, this webinar will help you understand where marketing is heading and how to stay ahead of it.

Tuesday June 2nd 2026.
6:00 PM CEST.

See you there (Link in description).

05/14/2026

We surveyed B2B marketers about AI adoption, workflows, and skills.

One result stood out by far:
AI Systems showed the largest skill gap overall.
65% of respondents still rated themselves beginner level or below when it comes to building workflows, automations, agents, or scalable AI systems.

At the same time:
42% said building AI agents is the skill they most want to learn.
Many are actively self-teaching and experimenting on the go.

What’s interesting is that the gap is no longer about access to tools.
Most marketers already have access.

The real challenge is figuring out:
What’s actually worth learning.
How to move beyond one-off prompts.

And the biggest blocker?
Time.

43% said they simply don’t have enough time to properly learn and experiment with AI while still keeping up with their day-to-day work.

Most marketers already know AI matters.
They’re trying to figure out what’s actually worth learning before the next wave arrives.

05/11/2026

Is AI FOMO getting worse?

Every other day there’s a new tool, model, feature, workflow, or “must-try” automation.
So we looked at where people are talking about this honestly: Reddit.

We analyzed active discussions in digital marketing subreddits around AI overwhelm, keeping up, and the pressure to adapt.

A few things stood out:

1. The comments weren’t just about what AI can do. They were about how stressful it feels to keep up.
2. Many marketers use AI for small tasks like captions, ideas, drafts, or summaries. But the moment people mention automations or full workflows, they feel lost.
3. A lot of commenters called out the constant LinkedIn hype around AI and the rise of scammy “AI gurus” selling unrealistic promises.

This also showed up in our own data. When we asked people what’s stopped them from developing their AI marketing skills so far, 43% said they don’t have enough time, 24% said they don’t know which skills actually matter, and 18% said they don’t know where to start.

So maybe the answer isn’t to just “learn AI.”
Maybe the answer is much simpler:
1. Pick one tedious task.
2. Try to automate or simplify that.
3. Then move to the next one.
4. Then think in systems.

That’s how AI becomes useful instead of overwhelming.

05/05/2026

Why GitHub is becoming popular with marketers.Because we’re moving from executing tasks with AI → to building systems with it.

A content marketer can build a workflow that audits pages against a brief.
A paid marketer can build a system that flags performance changes daily.
A demand gen marketer can turn ICP research into full campaign angles automatically.

The challenge isn’t the prompt. It’s where all the context, logic, and outputs live.

That’s where GitHub comes in. It's a place to store:
Workflows
Prompts & instructions
ICPs and positioning
Outputs and versions

So tools like Claude Code can actually use that context and run repeatable systems.

The advantage isn’t better prompts anymore.
It’s better systems.

04/27/2026

AI is changing the systems we can build.

In our upcoming webinar, you’ll learn how to use Claude Code to build a marketing engine that can understand your brand, analyze data, and handle the heavy lifting behind better marketing decisions.

We’ll cover how to build:

- A context engine that scrapes a site, creates brand voice docs, and builds ICP profiles from real data
- Synthetic focus groups to test marketing ideas before publishing
- Live data integrations that connect Claude Code to analytics or keyword data for faster pattern recognition

With Dimitri Opstal, Senior Demand Manager, and Luke Johnson, Demand Manager @ Unmuted.

You’ll learn how to direct AI, where human judgment still matters most, and how to build simple systems that make marketing smarter, not just faster.

Sign up: https://events.zoom.us/ev/As7tWbfOods0KYlZWnRS8PPv5M00eC8LFBJLdu9dhZXSYCFipV5z~Aqs6Hqn-DK2VadaHA19xP_8sZML6WM6mcYeL7g0AQemp_Vt8aAKDJxwGKA

04/14/2026

Analyze competitor search ads at scale.

If you’ve ever tried to break down competitor search ads, you know the real problem isn’t insight… It’s time.

You search query by query, scan the results, compare angles, and only then start connecting the dots.

AI changed that.

So we built a workflow that:
- Pulls Google Ads across multiple queries
- Structures the data automatically
- Uses AI to surface patterns in minutes

This isn’t just for ad copy…It’s about making better decisions.

Before launching any campaign, you can also understand:
- Who you’re up against
- How intense the competition is
- If the keyword is even worth chasing

Here's the links to the tool and the prompt used to build it:
Tool: https://googleads-analysis.lovable.app/
Prompt: https://docs.google.com/document/d/19c7UKIYK6JPleR22pgwnasMbRUu2EPpx_zR8H4EASmY/edit?usp=sharing

Analyze Google Ads competitors, discover messaging strategies, and find competitive gaps.

04/13/2026

What do B2B marketers need in 2026?

Not more AI tools.
Not more prompts.
They need systems.

Because AI is moving fast, and most teams are still stuck deciding which tools to use.

That’s why we’re launching our new AI Agents for B2B Marketing program.
7 courses.
12 live sessions.
Every Tuesday, from June to September.

You’ll learn how to:
- Automate research and content production
- Run SEO workflows like keyword research and audits
- Use buyer pain research to sharpen GTM strategy and ads
- Vibecode your own tools for lead generation

And much more.
No theory. Just real systems you can apply immediately, built by marketers who are doing this every day.

You can join the full program for $499, or take each course separately for $149.
Prices will increase after May 31st.

Save your spot: https://cxl.com/institute/programs/ai-systems-b2b/

04/08/2026

Measuring the modern AI-powered B2B funnel - Starts next week.

GA4 wasn't built to track AI traffic. Most B2B marketers can’t track where their pipeline is actually coming from.

This 4-session live course shows you how to find and label LLM traffic in GA4, clean up your measurement stack, query your data directly through MCP, and build dashboards that show pipeline impact.

Taught by Jeff Sauer, Julie Brade, and Manisha Mistry - who've trained 50,000+ marketers across companies like Nestlé, Target, and 3M.

April 14 to May 5. 90 minutes each.

Sign up - https://cxl.com/institute/live-course/measuring-the-modern-ai-powered-b2b-funnel-live-cohort/

04/07/2026

We built a tool to fix a common AI content issue: losing your tone of voice.

AI content isn’t necessarily bad… but it often sounds the same.

So we built a simple tool that:
- Scrapes your latest blog posts
- Analyzes tone, structure, and writing patterns
- Turns that into a clear tone-of-voice report
- Generates a ready-to-use prompt for your LLM

If you’re using Claude Code, you can even export everything as .md and give your model real examples to learn from.

Because as you scale content production, the real challenge isn’t writing faster… It’s making sure your tone of voice stays consistent.

We'll share the app and the prompt used to build it in the comments.

Prompt: https://docs.google.com/document/d/1fsK7cQ2pp-a5MI85sHaCYXt3grIvqdjusFN26trLoVM/edit?usp=sharing

App: https://blogvoice-analyzer.lovable.app/