This is where I document how AI changes the marketing work a solo operator or small team does each week: email, content, social, ads and reporting. Every guide starts from one repeatable task, shows the workflow and prompts, and names the number that tells you whether it paid off.
If you’re starting out, read the marketing automation workflows I tested for revenue first, then the AI marketing automation tools that drive revenue to see what fits your stack. For content and social, AI content marketing tools and the practical guide to AI for social media marketing cover the production side, and AI advertising examples shows what works in paid campaigns.
The rule across all of it: automate the step you repeat, keep a human on anything that reaches a customer, and judge each workflow by the revenue it moves.
If you’ve seen Mad Men, the show about marketing executives in the 1960s, you know how marketing campaigns used to work:
A handful of people sit in front of a whiteboard throwing ideas at the wall to see what sticks. Finally, after hours or days, one brilliant contributor comes up with an off-the-wall idea no one saw coming.
BAM.
The perfect marketing campaign.
But in the age of AI, that’s not how it works anymore.
There was a time when incorporating AI into your marketing strategy felt optional.
As recently as the early 2010s, AI was largely the domain of researchers and technology futurists. Some marketers were experimenting with AI, but most were waiting until the use cases became too obvious to ignore.
This was the era of IBM’s Watson beating human competitors on Jeopardy—there was serious promise, but AI still felt like far-off science fiction to most.
Today, AI is indispensable in marketing. (Heck, you can even ask AI to create an AI marketing strategy for you).
AI social media marketing tools can boost your productivity by 10x.
Remove “ums,” “uhs,” and other filler words automatically from audio and video—in addition to automatically removing the background from video, deleting unwanted objects on the fly, simplifying motion tracking, and so much more.
Here are 5 things you can do easily.
There was a time when marketing campaigns were manual.
Analytics were primitive. Emails weren’t dripped automatically to a list. Customer behavior tracking was clunky and limited.
Marketing automation changed all of that.
From personalized email marketing to lead scoring to analytics, marketing automation connects it all. And it works—80% of companies that use marketing automation see an increase in leads, and 77% see an increase in conversions.
Now, AI is revolutionizing marketing automation.
The AI advertising landscape is changing fast.
What used to be cutting edge—AI-powered programmatic advertising, for example—is now commonplace.
Some of the most innovative examples of AI advertising today are in the realm of market research, predictive analytics, and personalization.
One of the best ways to keep up is by closely watching other companies using AI for marketing—and borrowing what’s working for them.
If the first thing that comes to mind at the thought of AI marketing is:
“The machines are coming!”
You’re right.
Kind of.
AI marketing is here. Already.
Let me give you the overview:
The future of marketing is AI growth marketing, combining “growth hacking” and AI.
Harry’s, a razor brand, collected 100,000 emails in seven days through a viral campaign.
Incorporating classic elements of virality like referrals and gamification, the campaign spread fast across social media as early users jostled to get access to enticing freebies.
The 100,000 emails Harry’s collected were the backbone of their early success in 2013.
Here’s how you can implement AI growth marketing:
While AI technology for content and images has quickly become mainstream, AI marketing is often seen as a more “enterprise” capability.
Tools like Azure AI and the OpenAI codex dominate conversation and can intimidate, making AI marketing feel like a massive undertaking.
But the reality is, you’re probably already using AI for marketing. Functions of AI are embedded into software you already use.
Let me expain:
It’s time for marketers to take AI content marketing seriously.
Like any new technology, AI for content marketing has gone through several iterations in its public perception.
It’s hard to separate buzz and hype from reality.
Here’s what’s going on:
AI for content is here to stay.
You know it, I know it, and anyone who writes words for the Internet knows it.
But here’s the thing:
How useful are all these AI content writing tools and apps?
As with most other things in life — it depends.
I reviewed and rated 41 different tools using AI and machine learning for content, and that’s definitely not all of them.
Here’s how I rated the tools on the list: