AI native marketing | Online course: AI for audience research and social listening
Build your own AI-powered scraper to reveal what your buyers want.
Instructor: Lucy Woolfenden (with Ronan O’Duffy)
From The Scale Up Collective
Your buyers are already telling you what matters – in LinkedIn threads, Reddit posts, G2 reviews, and sales calls. This workshop shows you how to tap into that live feedback, use AI to surface insight at scale, and turn it into sharp messaging, content, and campaigns.
No big research budget. No long survey timelines. Just a faster, smarter way to stay close to what drives conversions.
- Learn how to identify jobs to be done, pain points, and audiences using real buyer language
- Use AI tools to transcribe and analyse interviews and online reviews
- Build and run your own Google Colab scraper to pull reviews from competitor listings
- Write smart Claude prompts to analyse buyer language, quantify pain points, and find unmet needs
- Set up a repeatable Claude project to structure insights and spot themes
- Avoid common AI prompting pitfalls. We’ll show you what works and what to skip.
- Leave with a working Claude > Colab workflow you can use straight away
Trusted by marketers at
Your buyers are already telling you what they want. You just haven’t been listening at scale yet.
This course is a tactical deep dive into how to use AI to surface unfiltered buyer insights. Fast. You’ll learn how to scan social chatter, scrape reviews, and decode conversations at scale. No panels. No surveys. Just raw, real-time data.
It’s not theory. It’s workflows, tools, and prompts you’ll put to work the next day.
Part 01: Building marketing on evidence
Marketing is often built on assumptions, without supporting evidence. Customer conversations reveal the real “why” behind decisions, and why guessing shouldn’t be an option any more.
- Why traditional research leaves gaps
- Where your audience’s conversations are taking place
- How insights shift fast, and why timing matters
Part 02: How to build your own AI scraper
AI is changing how marketers approach audience research. Build a scraper that allows you to source and process large volumes of voice-of-customer data insights to base your marketing on.
- Find the online spaces where your audience discusses products
- Scrape conversations into clean datasets
- Use AI frameworks like Jobs-to-be-Done to analyze thousands of posts fast
- Verify results so you can trust your insights
- Turn findings into sharper messaging, campaigns, and product decisions
Part 03: Turning insights into action
Apply insights to campaigns, sales enablement, onboarding flows, and product improvements.
- Where audience insights drive the most impact in growth
- How to share findings with leadership and product teams
- Building a repeatable, lightweight research habit
Join our next AI native marketer cohort
Six weeks. Five working workflows. Starts 29 September 2026.
Get set up for AI native workflows
Build your AI workspace: VS Code and Claude wired together, plus your first Claude skill running on your own work.
Marketing Brain
Build a GitHub context repository: your ICP, positioning, voice and proof, wired into Claude Code and n8n via MCP.
Campaign engine with a quality gate
Build a workflow: one brief in, a full campaign out (emails, social, sequences), with sources and a brand voice check.
AI visibility and AI-era measurement
Build a share-of-model baseline: how often ChatGPT, Gemini and Perplexity name you, AI traffic in GA4, pages to write.
Marketing insight and reporting agent
Build an agent that reads your ad platforms, GA4, CRM and email, then posts a weekly summary: what changed, what to do.
Company Marketing Brain
Build the context system customized for your team: one versioned source every AI tool draws from, plus a rollout plan.
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.
This is what marketers said after our live workshops and courses
AI-Forward Marketing Executive
“I was in your workshop 12 hours ago. I already have a workflow live… I feel like a freaking WIZARD!”
Growth Marketer | MBA | Product Owner
“What a great session, and what an incredible week at CXL… what I enjoy the most is this:
Being around curious minds, leaving inspired to test, putting ideas into practice. having conversations that sharpen your thinking, asking (a lot of) questions, sorry, not sorry…
The SEO + n8n session gave me a lot to think about… honestly, I feel like a machine.”
AI/B2B Marketing Programs
“Officially CXL Certified in Redesigning Marketing Workflows for AI.
A great deep-dive into building AI into marketing the right way… rethinking the workflows from the ground up.”
PR & Marketing | MBA
“How is AI affecting the role of a marketer? I have seen this question asked a hundred times and rarely seen a credible answer. CXL ran a webinar this week that actually delivered one.
It had a bit of a cold shower effect, just data and a clear-eyed look at where things are.”
Growth Experimentation | 500+ A/B Tests
“CXL changed my life. I’m not exaggerating, it actually did…
I got so deep in the content that a year later, in a completely unexpected turn of events, I was hired by Speero. Boom. Easily a 50x ROI right there.
CXL doesn’t mess around. They prioritize quality over quantity to make a real impact on your career.”
Here is what other marketers said
Need some more convincing?
Listen to this agency owner explain why he trains his team at CXL
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