Digital Marketing In The Age Of AI

AI has forever changed our world.

It’s right up there with other groundbreaking innovations like the printing press, electricity, and the internet. 

When OpenAI launched ChatGPT to the public in November of 2022, reactions were mixed. Since then, the influence of LLMs and AI tools across every industry, especially marketing, cannot be overstated (even though AI has been around since much before ChatGPT’s launch).

Depending on who you ask, AI is either a marketer’s dream or the death of creativity as we know it. LinkedIn is full of takes from across the spectrum. Some copywriters are drawing a hard line, vehemently shouting, “I will not be replaced by a machine!” from their keyboard soapbox. Meanwhile, other marketers are eagerly sharing how AI has completely revolutionized how they work. 

Regardless of where you fall on the spectrum, some truths about AI can’t be denied:

• AI is an extremely powerful tool–and it’s not going anywhere.
• Companies that learn to leverage AI will have a clear advantage.  
• AI is fundamentally different from other tools that came before it. 

So even if you’re skeptical, it’s worth asking: How can AI support my workflow? 

Because at the end of the day, AI is a tool. And like any tool, its value depends on how you use it.

In this post, we’ll unpack what AI really means for digital marketing, from automation and personalization to SEO and ethical concerns. We’ll show you how marketing professionals and small business owners can use AI to work smarter (not sloppier), cut through the noise, and stay human in a world that’s increasingly machine-assisted.

AI this, AI that. What even is AI?

We should probably start with a clear definition of what artificial intelligence is, just to make sure we’re all on the same page. 

And who better to define AI, than AI itself?

Here’s the definition ChatGPT gave me when I asked it to explain AI to me as if I were five:

Great. The brain inside a really smart robot friend. Hopefully, that clears things up a little. 

While AI may have only become a household interest with the launch of ChatGPT and other large language models (LLMs), it isn’t a single tool or app. It’s a field of science. And it’s been around for decades. It’s concerned with building machines that can mimic human intelligence: learning from data, solving problems, recognizing patterns, and making decisions.

More importantly, we’ve been using AI tools long before ChatGPT entered the scene. Recommendations from Netflix’s and Spotify’s algorithms are one example. Customer service chatbots are another. 

When we talk about AI in digital marketing, we’re not just talking about using LLMs to hash out SEO-optimized blog posts or ad copy. In digital marketing, AI technologies usually refer to a handful of specific technologies:

• Machine Learning: Algorithms that get better over time as they process more data (think recommendation engines or dynamic pricing tools).
• Natural Language Processing (NLP): How machines understand and generate human language (like ChatGPT or Google’s search engine).
• Computer Vision: Teaching machines to “see” and interpret images or video (used in visual search or social media filtering).
• Predictive Analytics: Forecasting future trends based on past data (used in email marketing, paid ads, and CRO tools).
• Generative AI: Tools like ChatGPT or DALL·E that can generate new content based on patterns they’ve seen.

Now, let’s zero in a little more on the digital marketing side of AI.

How is AI reshaping the digital marketing landscape?

In just about every way possible.

Not too long ago, “artificial intelligence” felt like some kind of futuristic buzzword. That’s no longer the case. It’s here now. It’s powerful and it’s already baked into the tools and platforms we use every day. From content creation to campaign optimization, data analysis to customer segmentation, AI is reshaping what it means to be a digital marketer.

It can analyze data at speeds no human could match.

It can automate the tedious stuff, like tagging content, scheduling posts, and reporting.

It can spark new ideas, rework old ones, and help you generate better content.

Does it feel like sci-fi? Yeah, a little. But it’s not. 

In fact, 99% of marketers are already using AI in some way. That Google Ads Smart Bidding you set up? AI. Those email subject lines that seem to know exactly what your audience wants to click? AI. The chatbot answering basic questions on your website? Yep, AI too.

As Christina Inge, marketing analytics expert and Harvard instructor, puts it:

“Right now, the vast majority of marketers are underutilizing AI. I’ll be honest with you; it will make your job a lot easier. Let’s take advantage of that.”

And she’s right. 

AI isn’t here to replace marketers, but it will enhance everything we do. If you’re not already using AI to lighten your workload or improve your work in some way, you’re not behind—yet. But you will be very soon. AI is a tool, and you need to learn how to leverage it. 

With all that said, let’s take a look at some of the ways AI is already reshaping digital marketing. 

From Gut Feeling To Machine Precision

Long before ChatGPT captivated public interest, AI tools were hard at work analyzing data and making predictions. AI is a bona fide behind-the-scenes data whiz. If you have a lot of data, as digital marketers tend to have, machine learning and predictive analytics are your best friends.

With the right AI tools, you can essentially give any digital marketing strategy a crystal ball. Only much more accurate and without any of the woo woo. 

Across industries, ML models are hard at work analyzing data to:

• Predict customer behavior before they even know what they want;
• Precisely segment audiences to make campaigns feel more relevant;
• Optimize campaigns in real-time instead of waiting for them to fail;
• Uncover insights that fuel smarter strategies.

Basically, AI is making marketing more proactive instead of reactive. You don’t need to wait until a campaign flops to adjust it. Instead, AI can help you anticipate and optimize for what will happen next  

One of the ways all that data analysis and customer forecasting is being put to use is to provide customers with incredibly relevant and personalized experiences. 

Hyperpersonalization At Scale

AI has made hyperpersonalization a reality. And we’re not talking about slapping someone’s first name in an email subject line. No, no, no, the rabbit hole goes much deeper than that!

Craving a Pumpkin Spice Latte on a crisp fall morning? You’re not alone. And if you’re a Starbucks customer, the company’s proprietary AI tech, Deep Brew, probably knew before you did. By analyzing everything from customer purchase history to local weather, Deep Brew powers personalized recommendations in the Starbucks app to keep customers engaged and purchasing more Starbucks products.

When AI analyzes your behaviors and preferences, it can serve you up content that feels like it was made just for you. It’s why no two newsfeeds are the same. But those kinds of recommendations aren’t limited to content platforms; they’re happening in marketing, too. 

While shopping online, an e-commerce store’s AI says, “Here are other products you may like.” And surprise, surprise, they are all the products you love! Social media platforms show you relevant ads that are able to capture your attention while you’re scrolling. In your inbox, email campaigns deliver messages that seem to be targeting your specific needs. 

By being able to predict users’ wants and needs to personalize marketing at the individual level, customers feel understood. When customers feel understood, they engage more. And when they engage more, they convert more. It’s that simple. 

Websites That Adapt to Every Visitor

It’s not just product recommendations in e-commerce stores that are becoming more personalized. The trend is extending to entire websites. If your website is your digital front door, AI is completely reshaping how it opens and what’s inside after it opens

AI can now personalize your website in real-time. A returning customer might see “Welcome back! Here are new items in your size.” A first-time visitor might see your best-selling products or clearest value proposition. No developer required.

Testing is getting smarter too. Instead of running simple A/B tests, AI can cycle through countless combinations of headlines, images, and layouts to find what actually works. Small changes, big results. 

An example of AI variate testing at work…

Swedish florist, Euroflorist, has been in the e-commerce game since 1995. Every year, they sell an average of two million bouquets, and their monthly unique visitors to their sites exceed ten million. Using AI multivariate testing, they tested different combinations of their product detail page to optimize for conversions. The best performing combination after four iterations increased conversion rates by 4.3%. That may not seem like a lot, but if you have ten million monthly visitors to your site, that represents an additional 430,000 more sales per month!  Source

Meanwhile, those chatbots answering questions at two in the morning? They’re handling the basics, like helping users navigate sites and answering common questions, so teams can focus on the complex stuff that actually needs a human touch. 

And for anyone just getting started or on a tight budget, AI website builders can create entire sites from a simple prompt. They won’t replace real design and development, but they’re a strong starting point for small organizations testing ideas.

Related: Website Strategy In The Age Of Generative AI

Answering User Queries And Reengineering SEO

Remember when the goal of SEO was simply to rank #1 on Google? Yes, those were the days. 

Now, in addition to ranking #1 on Google, SEO strategists are asking a different question: “How do we make sure our brand shows up when people ask ChatGPT, Gemini, or Perplexity for recommendations?”

That’s because people turn to the internet to find answers to their questions. Point blank. And AI is drastically changing how people get those answers. They no longer have to dig through multiple pages to find what they’re looking for. AI chatbots give them instant answers and clean summaries. For a lot of users, that means they get what they need without ever clicking into a website. 

LLMs are treated more like smart assistants than search engines. They summarize, compare, personalize, and recommend. And digital marketers need to get their brands into that mix. 

This doesn’t mean websites are dead—AI still needs to pull information from somewhere. But it does mean you need content that works for both search engines and AI systems.

At the same time, AI is transforming how marketers optimize for search. Keyword research that once took hours of manual sifting can now be handled in seconds with AI. These tools surface insights we’d likely miss, like long-tail keywords with low volume but high intent, or content gaps competitors haven’t filled.

Technical SEO is also evolving. AI can now scan websites continuously for broken links, crawl issues, or performance slowdowns, things that might otherwise go unnoticed for weeks. It can auto-generate schema markup, alt text, sitemaps, and even suggest structural improvements based on user behavior.

All of this is a bit of a double-edged sword, because AI makes it easier than ever to do SEO, it also means everyone else can do the same. When the bar for production drops, the bar for performance rises. 

So yes, we can do more, faster. But to win attention, and ultimately conversions, you need content that’s more strategic, more helpful, and more human than ever.  

Content Creation Gets A Boost (But Humans Still Matter)

Let’s address the elephant in the room: yes, the internet is flooded with AI-generated content. A lot of it is poorly written and easy to spot. It’s generic and not particularly helpful. But there are plenty of writers who have already incorporated LLMs in their workflows, and they’re better at their jobs for having done so. 

Computer science professor Cal Newport put it best in a New Yorker piece about writers using ChatGPT. He wrote, “A.I. isn’t writing on our behalf, but neither is it merely supporting us while we write from scratch; it sits somewhere in between….We’re not yet used to the idea that [writer] might chat with a computer program to release cognitive strain, or ask the program for a rough draft to help generate mental momentum.”

That’s exactly where AI’s strength lies. It bridges the gap between inspiration and execution. 

AI is helping digital marketers and writers:

• Break through writer’s block when they’re staring at a blank page
• Improve idea generation and brainstorm better
• Write first drafts they can add their expertise, brand voice, and human insight to make it genuinely valuable content
• Generate multiple variations of headlines or social posts to test
• Rephrase clunky sections to sound more natural
• Adapt existing content for different audiences or platforms

Think of AI as a collaborator, not a replacement for your copywriter. 

Even the best prompt engineering can’t prevent AI from occasionally hallucinating a stat, misquoting a source, or confidently inventing something completely false. LLMs are biased. They’re not fact-checkers. And they don’t always know how to connect with other humans. 

Here’s what it all boils down to: AI can’t replace good writing, but it is absolutely helping people get there faster and easier.

Related: How To Be A Better Content Marketing Expert Than ChatGPT

Overhauling Paid Advertising Beyond Smart Bidding

If you’ve run ads on Google or Meta recently, you’ve already used AI—their bidding algorithms are powered by it. But AI is transforming more than just how much you bid.

Let’s start with creative. Generative AI tools like ChatGPT can instantly spin out dozens of headlines and descriptions. You don’t have to use them as-is, but they’re great for brainstorming or testing new angles. Neil Patel’s team ran a 30-day experiment comparing human-written and AI-generated ads. Human copy still performed best, but using AI to generate new variations of the human-written copy further boosted performance.

Targeting is getting smarter, too. Instead of guessing who might convert, AI can analyze your CRM data and build predictive audiences based on actual behavior. That means better targeting, better reach, and (hopefully) better ROI.

Landing pages haven’t been left behind, either. Tools like Unbounce and Instapage use AI to build and optimize landing pages, test different versions, and personalize content in real time based on who’s visiting.

And finally, let’s not forget one of AI’s biggest strengths: data analysis. No need to sift through spreadsheets to analyze campaign performance. AI tools (and even ChatGPT with the right prompts) can summarize performance reports in plain English and surface trends or recommendations you might have missed.

Just remember that if you’re uploading client data into any AI system, especially proprietary or personal information, you need to do so carefully. Check the tool’s terms of use, make sure you’re following data privacy best practices, and never share anything you wouldn’t want exposed. Being smart with AI means using it responsibly. 

How To Implement AI Throughout Your Digital Marketing Efforts

By now, you’ve probably at least experimented with AI. The question is, are you making the most of it?

Probably not. 

Heck, we’ll be the first to admit we’re still finding and looking for new ways to incorporate new AI tools into our workflows. We know we’ve barely scratched the surface of all the ways AI can help us save time and money.

And we’re not alone. 

Despite so many companies investing in AI, according to McKinsey & Company, “only 1 percent of leaders call their companies ‘mature’ on the deployment spectrum, meaning that AI is fully integrated into workflows and drives substantial business outcomes.”

In other words, we’re at a tipping point with AI right now. The majority of companies and organizations are still learning how to integrate AI tools. Now’s the time to get on board. Otherwise, you run the very serious risk of being left behind. Because AI is the future. It’s not a trend, and it’s here to stay. 

With that little pep talk out of the way, let’s get to the good stuff. How can you implement AI throughout your digital marketing efforts?

Now, we’re not here to give you a rigid step-by-step guide. That’s what chatbots are for. Instead, think of this as a mindset shift. If you want to figure out the exact prompts to feed an AI tool or which plugin does what, you can literally ask the tool itself. What’s harder, and more valuable, is figuring out how to thoughtfully bring AI into your workflow in a way that feels aligned, efficient, and effective for what you do and how you do it. 

Start With The Work That Drains You

You know the tasks. 

The ones that eat up your time and your will to live. Reports that take hours to compile. Social captions that won’t write themselves. Endless image resizing.

Approach those tasks differently, and with AI in mind. Ask yourself:

• Can AI automate this?
• Can it make the process smoother?
• Can it take the edge off the mental load?

The goal doesn’t always have to be to work faster or get more done. You can just AI to “release cognitive strain,” as Newport puts it. AI can help you accomplish the same output with less friction. Sometimes even better output, with less sweat.

Define What “Better” Means for You

AI doesn’t come with a universal KPI. So figure out what matters most to you or your team

Is it more free time? Higher-quality creatives? Less context switching? Smoother internal process? More conversions? All of the above?

This isn’t about doing everything AI can do. It’s about doing what feels right for your goals, your ethics, and your capacity.

There’s No One-Size-Fits-All And That’s The Point

There are infinite ways to use AI to perform an infinite number of tasks. You could use it to brainstorm ad copy, tag images, summarize meeting notes, or fine-tune SEO metadata. And there’s no “correct” way to do any of it (as long as you’re using it responsibly, of course). 

The magic lies in experimenting, reflecting, and refining. If AI helps you feel less overwhelmed, great. If it helps you do better work, even better.

Think Of AI Like A Smarter Spellcheck

AI isn’t coming for your job. It’s coming for the friction in your job. You wouldn’t have refused to use spellcheck. You like when Spotify nails your mood playlist. AI is just the next evolution of helpful tools—but this one can co-write, co-edit, co-analyze, and co-optimize with you. It’s different. But different doesn’t have to be scary.

Use AI Thoughtfully, Not Thoughtlessly

This isn’t about pushing a button and walking away. This is about using a tool both powerfully and purposefully to amplify your strengths and ease your burdens. You still need a human in the loop. The tools will change. The tech will evolve. But the core question stays the same:

How can you use AI to do better work your way?

And speaking of using AI thoughtfully, that brings us to our last topic.

Ethical Considerations And The Future Of AI

We’re a proud B Corp. So we would be remiss to end a discussion of AI without also discussing the ethical and environmental issues involved. And there are a lot of issues to be addressed. 

There’s the sheer amount of fresh water needed to cool down AI systems. Then there are data privacy concerns, copyright infringement issues, content riddled with bias, and the potential for the spread of misinformation. The list goes on. 

What’s the solution? Short of not using AI, which we’re obviously not saying is the answer, you need to be conscious of how you use AI. Use it responsibly. Don’t feed private data into any AI system, and never publish anything (no matter how much or how little AI was involved in creating it) without reviewing it first. 

As for the future of AI? Well, that’s a little above our pay grade. 

Some envision a utopic future where AI has rid the world of poverty and disease, freeing humans to spend the rest of their days chasing fulfilment and creativity. Others, many of them leading AI researchers, are sounding alarms about existential risks and the potential for AI to end humanity altogether. 

We’re All Learning Together

Here’s something that might surprise you: even the experts are still figuring this out. And that includes the folks building the tools. The truth is, there’s no perfect roadmap for digital marketing in the age of AI. We’re in uncharted territory. 

The platforms will change. The tools will evolve. But your purpose? That’s your north star. 

Use AI to make your work more aligned with your purpose. Let it help you work smarter, achieve more, and free up space for the strategic, creative, human parts of marketing that matter most. 

So whether you’re just dipping a toe into generative AI or you’re already knee-deep in multivariate testing and predictive analytics, stay curious and keep your integrity intact. Because AI isn’t the point. You are! Your brand, your mission, your impact. 

We’re not here to build marketing machines. We’re here to build impactful change. 
And if you’re unsure where to start with digital marketing and AI… let’s figure it out together.