→ Final Cohort Starts April 6th. Runs 4-weeks through May 2nd.
→ Small cohort; once seats are gone, this format is gone for good
→ Promo code here: maven.com/britney-mull...
Questions? Drop them below or DM me.
💬 "You're like a drug dealer (and I mean that in the kindest possible way!). My mind has been blown wide open."
💬 "Joining your course has been one of the best decisions I've made truly one of those rare choices that ends up shaping your life and career in ways you never expect."
What students are saying:
💬 "Joining your course has been one of the best decisions I've made, truly one of those rare choices that ends up shaping your life and career in ways you never expect."
Past students include Directors of SEO, agency founders, freelancers, VPs of Marketing, and CMOs from companies like Mayo Clinic, Adobe, Shopify, and BMO. What they had in common wasn't technical skill. It was showing up ready to experiment.
No coding background required. If you can write a Google Sheets formula, you can do this.
✍ Content Marketing Strategy via Dashboard that pulls in real-time social conversations for specific topics, concerns, competitive mentions, etc. by Bhushan Shetty
🧠 A "digital brain" that lets you search across hundreds of books you've read; instantly pulling up highlights, notes, and references on any topic by Thomas Hefke
🔍 Automatically Identify Internal Link Opportunities by Everett Sizemore
🔗 Brand Mentions Strategy: Automated email PR Request vetting + drafted responses given all your previous company info/articles by Maddy French
What Marketers in the course have built:
🤖 Customer Service Agents that provide real-time feedback to your sales staff like, "You're talking too much!!" by Martin Canchola
⏳ End of an Era: The Final Live Actionable AI For Marketers Course starts next Tue, Apr 6th!
We're expanding the ways marketers can learn AI, so this is the last time this course will run as a live, small-group experience with direct, hands-on attention from me.
New post, and my first on Substack!
"The AI SEO Playbook for Google Click Signals"
How user click signals drive website visibility for both Google rankings and AI answers
What exactly are these click signals, and can marketers influence them?
Read & subscribe: signal.zyppy.com/p/google-cli...
insane to me that people drive these... so so dangerous & Tesla/Elon is really good at hiding stories like this. There was an entire documentary on how Tesla autopilot was dec@pitating drivers bc it thought giant semis at specific angles were bridges that they could drive under! Doc disappeared
That's a really great example 🙌 Thank you!
Perhaps! But even electrical grounding works because the earth is a reliable, stable reference. That's exactly what ground truth is in AI; an objective, verified reference point.
Web documents aren't that. They're more like grounding to another wire and hoping it's connected to something stable.
As AI continues to reshape industries, it's more important than ever for us to understand these nuances. By learning the true meaning behind AI terms & tech we can communicate more effectively, make better decisions & drive real results.
19 Days until the next Actionable AI For Marketers Course 🎓
SEOs are now optimizing for a word we don't have a shared definition of. And when AI researchers hear you use "grounding" this way, it'll erode your credibility.
The real irony? Microsoft employs SO many world-class AI researchers. They know the difference. By rebranding RAG and synthetic AI queries as "grounding," a precise technical term has now become a marketing buzzword.
I raised this concern with Microsoft & suggested alternatives like "Retrieval Queries" or "AI Queries," which I feel would be more accurate and less confusing but to no avail.
For example, when you ask "should I bring an umbrella in Seattle?" the AI might internally generate "Seattle weather today" to inform its response.
Calling those "grounding queries" buries an already-misused term one layer deeper.
Microsoft's new "Grounding Queries" metric in Bing Webmaster Tools makes this even more confusing. Those aren't user queries. They're background searches AI quietly generates when a user submits a prompt.
I've since watched real people repeat versions of Microsoft's definition & treat it as fact. And I don't blame them. They're trying to keep up with all of these changes.
Microsoft's own AI Guide features a quote from me where, after pushing back on their "grounding" framing, I said: "RAG does help the LLM ground its response in information from the web, but it's worth remembering that not everything online is true." The caveat got published, the correction didn't
RAG is better-informed guessing. True "grounding" is fundamentally a different thing.
What Microsoft calls "grounding" is actually RAG (Retrieval-Augmented Generation): retrieving web documents to supplement a response. Useful! But web text is written by humans, about reality, not reality itself. Those documents can be wrong, biased, SEO-manipulated, or outdated.
The core problem with LLMs is that there's no ground truth signal during training or generation. The model isn't checking its answer against the facts; it's only predicting the next most likely word.
In some AI models, "ground truth" is the objectively correct real-world data, like sensor readings or medical records, used to anchor the model to reality. Not documents. Not web pages. Reality.
"Grounding" Doesn't Mean What You Think It Means 🗺️
Words matter, especially when they're quietly reshaping how an entire industry thinks.
Grounding comes from "ground truth" rooted in statistics & originally cartography, where it meant going outside to verify that your map matched reality.
Commodity content is a race you win by not running.