AI in Content Marketing: 4 Proven Workflows

AI has transformed the marketing industry. 

From AI in content marketing to customer insights, its versatility is reshaping the day-to-day experience for everyone in the industry. In fact, let’s see if ChatGPT can come up with its own intro for this piece. 

“AI is really shaking things up in marketing, making it easier and smarter to connect with people in ways we couldn’t before. Imagine being able to craft personalized messages that actually feel like they’re speaking directly to each customer—that’s what AI allows us to do by analyzing all kinds of data about their preferences and behaviors. We’re not just reacting to what customers want right now; we’re anticipating what they’ll want next.

But it’s not just about efficiency. AI helps us dig deeper to understand what motivates our customers and what messages resonate with them. For anyone new to marketing, learning to leverage AI is a powerful way to stay ahead in the game and connect with customers on a whole new level.”

Ok, it’s not the worst intro, right? It would still need some human attention, but the fact that marketers can now use an AI tool to put together an entire blog in minutes is something that many of us didn’t see coming just a few years ago. So, how is AI reshaping digital marketing? In this blog, we’ll break down how it could make your life easier.

What Is AI Marketing?

AI marketing is the process of using artificial intelligence to make marketing decisions based on collected data, analysis of that data, and any target market or economic trends.

Here’s how important AI is to digital marketing: 61% of marketers say artificial intelligence is the most important aspect of their current data strategy. In addition, the AI technology they are working with is boosting business productivity by up to 40%. 

‍What’s more important is that AI has the power of machine learning. Like humans, as AI gains more experience, it can automatically improve marketing campaigns with performance-based data collection.

On top of that, AI has the power‍ to quickly analyze big data and analytics for marketers faster than humans, cutting the information down to its most crucial components for better marketing strategy recommendations.

But how is all of this possible? Well, there are tons of AI tools taking marketing by storm. Here are some of the most impressive ones we’ve seen.

The AI Tools Transforming the Marketing Industry

• AI Writing Tools: Everyone knows ChatGPT. It has 700 million active weekly users, and there’s no question that many of them are using AI in content marketing. Jasper AI is another option for copywriting. According to its creators, Jasper has “read” over 10% of the internet, allowing it to craft copy in a wide range of styles. Surfer SEO is another which can help craft SEO-friendly content, and Undetectable AI takes AI in content marketing to rewrite and avoid AI detectors.
• For Visual Design: AI design tools such as Midjourney, Adobe Firefly, and DALL-E can help generate images to enhance deliverables such as landing pages, social media posts, paid advertisements, and more.

• For CRM: Breeze, HubSpot’s new platform, can help marketing teams craft and run tailored customer outreach, streamlining the sales process. It can even respond quickly to site visitors who may have questions before converting. Similarly, Agentforce from Salesforce can resolve customer inquiries and engage with potential leads around the clock.

How AI Is Enhancing Efficiency

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Nearly three-quarters (72%) of agency and brand marketers worldwide plan to use AI in 2026. Leaders who don’t learn how to properly leverage AI tools for marketers are at risk of falling behind. Here is why:

Personalization

The great thing about many of these digital marketing AI writing tools is that they can be “trained” to create specific forms of content. 

Take ChatGPT, for example. While you can simply open the app and give it a prompt, there are ways to take AI in content marketing to the next level. You could create conversation threads to feed it information and teach it about your voice and tone. While the final product will likely still need human edits, it can help you create content that doesn’t sound as generic as the words you might get from a simple prompt. 

Beyond AI in content marketing, AI can also be a great tool for tailoring campaigns to certain audiences. AI-driven algorithms, for example, could analyze customer data to recommend the best type of advertisement when targeting specific audiences. AI tools can also help you create a more customized, engaging experience for your target audience to drive sales and ROI.

Content Automation

If you could use AI writing tools to save valuable time, would you leverage that power? One of AI’s biggest impacts on digital marketing is its ability to automate smaller, more routine tasks. Think social media captions, email headlines, data analysis, customer segmentation, and so much more. Saving time on these tasks can give your team more time to focus on the creative or strategic aspects of campaigns. 

Audience Targeting

When it comes to targeting specific audiences, AI goes beyond guesswork and instead dives into precise, data-driven insights. Imagine an AI tool analyzing your customer data like demographics, purchase history, and browsing behavior, and then suggesting exactly where and when to run ads for optimal impact. These tools can segment audiences down to incredibly specific groups, making it possible to create hyper-personalized campaigns that speak directly to your target’s preferences and pain points.

This can help brands maximize their ROI, boosting not only engagement but also conversion rates. Think about it this way: AI isn’t about casting a wider net; it’s about casting a smarter, data-driven one.

Enhanced Data Analysis

Crunching numbers can be mentally exhausting. Digital marketing AI tools can make it easier. Artificial intelligence can help you dig deeper into customer psychographics, such as interests, motivations, and even likely next actions. As a result, AI can help you create more efficient campaigns that connect with target audiences on a deeper level.

These enhanced analytics tools allow for more impactful and targeted strategies, giving us extra insights into customer behavior and trends. Your team could potentially gain better forecasting, seeing customer trends to capitalize on before your competitors. 

Predictive Analytics

Something else unique to AI marketing is better predictive marketing analytics. Due to machine learning and AI’s ability to comprehend big data at a moment’s notice, AI can predict when, where, and what types of products or services a consumer will be looking for. With this, buying ad spots for marketing campaigns will be easier than ever before because AI will tell you when and where the most optimal placements of your advertisements should be. 

Improved Automated Chatbots

Seeing how important consistent communication between consumers and businesses truly is, customer service has become an integral part of many marketing strategies. 

Recently, automated chatbots for customer service have become the norm, answering questions, completing orders, and acting as communication liaisons between brands and consumers. With the development of AI’s natural language capabilities, businesses are beginning to replace customer service personnel with AI on a grand scale. 

While AI chatbots will predominantly still be answering simple questions that don’t require human expertise, they will also be able to look at past data to deliver personalized results for that particular consumer.

AI in Content Marketing

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Although it’s likely not best to simply copy and paste the copy you generate via AI writing tools, the content that is being produced is only getting better. Through AI in content marketing, your team can also implement A/B testing, track engagement metrics, and optimize your content in significantly less time.

Let’s go a bit further into AI content writing and how you can use it effectively for your marketing strategy.

How to Master Using AI in Content Marketing

Use Workflows for Content Ideation & Drafting

AI in content marketing can streamline the earliest and most time-consuming parts of content creation, including idea generation, outlining, research support, and early draft development. But like any tool, you get the best results when you use it intentionally. 

Below are practical workflows your team can use to speed up your AI content creation process.

Workflow 1: Brainstorming & Idea Generation

AI can be used for blog topics, campaign ideas, social series concepts, video ideas, and angles for ads. Use this workflow when you need fresh thinking or want to explore multiple directions quickly.

Steps:

1. Define the goal. Ex. “Generate blog topics that help SaaS companies understand AI trends and rank on the first page of Google.”
2. Add audience context. Who are they? What do they care about? What problems do they face? What is their sales persona?
3. Use AI to generate a batch of ideas. Ask for 20–30 options. You can use AI writing tools like ChatGPT, Jasper, or Notion AI.
4. Refine the list. Ask for variations based on tone, industry, funnel stage, or complexity.
5. Narrow down your options. Choose the strongest 3–5 topics.

Workflow 2: Research Support & Fact Structuring

AI can also be used for gathering background material, identifying themes, or summarizing complex information. While AI might not be best for deep research, it can organize what you already know and help you identify gaps in your AI content creation.

Steps:

1. Feed the context or source material (if you have it).
2. Ask AI to summarize key insights. This helps condense long reports, transcripts, or articles.
3. Request supporting points or angles.
4. Create a clean list of the most compelling talking points.
5. Double-check any facts manually before drafting. AI can often hallucinate information.
6. Ask AI to naturally add the supporting points or angles to your content draft.
7. Use AI’s recommendations to develop a first draft that includes talking points.

Useful prompts:

• “Summarize the key insights from this article in 5 bullets.”
• “Identify gaps in our argument and suggest areas where additional data would help.”

Workflow 3: Outlining Long-Form Content

AI in content marketing can really come in handy for organizing a structure for blogs, ebooks, guides, pillar pages, and scripts.

Steps:

1. Share the topic, goal of the content piece, and who it is for.
2. Ask for multiple outline options. Try 2–3 formats. 
3. Choose a list-style, narrative, problem-solution, step-by-step, or how-to content piece.
4. Choose the best option for your keyword and refine it. 
5. Add internal talking points, missing sections, or brand POV.
6. Ask AI to expand each section into bullets. 
7. Finalize the outline manually before drafting.
8. Use the finalized skeleton of that draft to begin writing your content piece.

Workflow 4: Variations, Expansions & Style Options

If you’re writing social copy, email subject lines, and ad copy, AI in content marketing can provide high-volume variation when you already know your direction.

Steps:

1. Provide your draft or key message.
2. Ask for multiple variations. Try short, long, punchy, formal, beginner-friendly, etc.
3. Ask for expansions on ideas that feel too thin.
4. Select the strongest outputs and revise manually.

When to Use AI vs. When to Write Manually

Use AI when you need:

• Idea variety
• Speed
• Structure and organization
• Summarization
• Formatting help
• High-volume variations
• Help getting past writer’s block

Write manually when you need:

• Brand voice and personality
• Nuance, emotion, and storytelling
• Thought leadership
• Novel ideas or unique POVs
• Sensitive or high-stakes messaging
• Deep subject-matter expertise
• Strategic recommendations

Maintaining Authenticity for AI in Content Marketing

While AI is great for efficiency, your content still needs to feel human because maintaining a genuine voice is essential to preserving trust, credibility, and long-term brand equity.

Why Authenticity Matters: Using E-E-A-T)

Search engines reward content that reflects real human experience and expertise.

That’s why we recommend following the E-E-A-T principle in your AI content creation. E-E-A-T stands for:

• Experience – Have you actually done or lived what you’re talking about?
• Expertise – Are you qualified to teach it or offer guidance?
• Authoritativeness – Are you a trusted source compared to others?
• Trustworthiness – Can readers rely on the accuracy, transparency, and integrity of the content?

AI can’t naturally provide any of these on its own. It doesn’t live experiences, earn credentials, or form opinions.

If your AI content creation sounds like everyone else’s, search engines treat it like everyone else’s. It won’t rank well, and audiences won’t resonate with it either.

Techniques for Adding Human Nuance, Specificity, and Storytelling

To transform AI-assisted writing into authentic, resonant content, weave in elements only you can provide:

1. Add lived experience. Share what you’ve seen in the field, learned from clients, or observed in real scenarios.
2. Use concrete examples and specifics. Replace generalities with real numbers, names, locations, timeframes, or outcomes.
3. Insert your unique point of view. What do you believe about the topic? What does your brand disagree with? What common advice do you think is wrong?
4. Infuse emotional intelligence. Add tone shifts, empathy, humor, sensory detail, or personal reactions where appropriate.
5. Adjust the rhythm. Humans vary sentence length, pose questions, and break rules intentionally. AI rarely does this naturally.
6. Strengthen the narrative arc. Whenever possible, turn informational content into a story.
7. Challenge the AI. Ask it to “push back” or “argue the opposite.” This helps you surface angles you can humanize.

Human Review & Editing Frameworks

Editing AI in content marketing is where real differentiation happens. A clear, repeatable review framework ensures every piece of AI content feels intentional, polished, and unmistakably human.

Below is an editorial flow your team can use for everything from blogs to emails to long-form guides.

1. AI Brainstorm: Start by generating ideas, angles, or topic variations. Explore possibilities quickly, identify strong directions, and clarify what the final piece should accomplish.
2. AI Outline: Once the direction is set, use AI to propose several outline structures. Compare formats and choose the most effective way to tell the story.
3. Human Draft Expansion: This is where the human takes over. Add expertise, insight, nuance, and opinion. Layer in personal experience, add examples, anecdotes, or case context, and fill knowledge gaps AI can’t fill on its own.
4. AI Polish: Once the draft feels complete, hand it back to AI for refinement. Improve clarity, flow, grammar, and consistency without losing the human voice. Use AI to tighten paragraphs, smooth out transitions, and fix grammar or syntax.
5. Human Structural + Tone Edits: The final edit must always be human-led. Ensure the piece feels aligned with brand voice, accurate in its claims, and intentional in every word.
6. The 20/80 Rule for AI Writing. A simple way to think about the human/AI balance: AI covers ~20% of the work. Humans cover the remaining 80%.

Challenges and Ethical Considerations of AI in Digital Marketing

Of course, it’s important to note that there are some things to consider when looking at the benefits of AI in digital marketing. To start, the potential loss of the human touch that makes or breaks so much of digital marketing is a worrying thought.

Dependence on AI

Which option would you prefer? AI in content marketing? Or robots helping to optimize our work? Unfortunately, option one is not impossible. 

As more writers, designers, strategists, and other marketers begin to embrace AI on a larger scale, there is the risk that we become too dependent on it to complete our tasks without it. That’s why balance is key. Striking a balance between AI-driven efficiency and a human touch can help us all ensure that marketing deliverables remain genuine, fostering stronger connections with audiences.

Biases or Discrimination

AI algorithms can sometimes inherit biases from the data they’re trained on, leading to unfair or discriminatory outcomes. 

For example, if the historical data that your AI writing tools have consumed includes demographic or socioeconomic biases, it may perpetuate them. To avoid this, make sure your team continues to audit your AI digital marketing systems, especially if you begin using a new tool.

Privacy and Data Security

According to reports, 76% of those who shop online are worried about the security of their data. AI can add to these fears, as some AI writing tools may not be as direct about how data is being used. This can negatively impact any brand. As a result, transparency in how data is collected, stored, and used is critical to maintaining consumer trust.

How AI Marketing Could Be Used in the Future

‍Virtual and Augmented Reality

It is predicted that AI will be able to create immersive virtual and augmented reality experiences for consumers. Some examples include:

• Personalized virtual shopping experiences
• Virtual product testing
• Virtual events
• Virtual brand experiences (including factory and facility tours)
• Interactive AI marketing campaigns

As the technology grows, many believe that AI will be able to create these realities itself, requiring little oversight from the human side.

Emotion Detection

Soon, AI will use text, voice, and facial recognition to personalize marketing campaigns based on user emotions. This would mean brands could create personalized marketing campaigns that served product and service advertisements at moments deemed more engaging and effective.

Programmatic Advertising

Programmatic advertising will automate almost every advertising process we know. This includes ad targeting, real-time ad optimization, automated ad space buying, ad personalization, and inventory forecasting. These systems will make advertising more efficient, effective, and personalized, resulting in less workforce power to get a marketing campaign up and running.

Will AI for Digital Marketing Steal Our Jobs?

Before we conclude this piece, we wanted to address this very valid concern. 

Almost 60% of marketing employees now consider AI a threat to their jobs, compared to just 36% in 2023. While the thought of a rise in AI writing tools for marketers can be worrying, it’s important to remember that humans will still be behind the prompts and optimizations. 

ChatGPT won’t be able to craft blogs unless directed by a marketing professional. Midjourney won’t be able to generate eye-grabbing paid media ads without the watchful eyes of a designer. The next viral social media campaign will still need to be produced and posted by social media teams. And the majority of AI experts believe these tools will transform marketing roles rather than replacing them. 

All of this is to say: demand for creatives likely won’t drop simply because digital marketing AI tools become more advanced. 

According to a recent report from Google, 71% of marketing leaders believe AI’s rapid growth will change the way they hire going forward. For marketing agencies and in-house teams, finding those who can bring the best out of AI will be key. It’s all about balancing artificial intelligence with human intelligence. So, while those who choose to ignore the power of AI for digital marketing may get left behind, it’s important to remember that having a knowledgeable, professional human to guide every prompt will still reign supreme.

At Marketwake, because data is a big part of every strategy we produce, we’re always searching for new ways to leverage AI writing tools. If you’d like to see what we can do for your brand, be sure to check out our work page. 

Frequently Asked Questions

How is AI transforming marketing strategies?

Digital marketing AI tools help marketers predict trends, enhance customer engagement, and deliver tailored content.

Will AI replace marketers?

While there are fears that AI tools for marketers will eliminate jobs, it is important to remember that humans will still be behind every AI prompt.

How can AI help with content marketing?

AI writing tools such as ChatGPT and Jasper can help marketers with tasks such as brainstorming, research, and first drafts of pieces.

What are some common AI tools marketers are using?

Marketers use many AI tools to enhance their efficiency like: ChatGPT, Jasper AI, Midjourney, DALL-E, Adobe Firefly, and Surfer SEO.

What are the ethical considerations of AI in marketing?

Key ethical considerations for marketers using AI are privacy and data security, algorithmic bias and fairness, consent, transparency, and authenticity.

How is AI used in marketing?

Artificial intelligence (AI) is increasingly being used in marketing to improve the efficiency and effectiveness of marketing campaigns. Some examples of how AI is used in marketing include:

• Personalization
• Predictive analytics
• Content creation
• Chatbots
• Ad targeting
• Optimization
• Influencer marketing
• Voice search optimization

Is AI Marketing the future?

Artificial Intelligence (AI) is expected to play a significant role in the future of marketing. As AI technology continues to evolve, it will enable marketers to analyze large amounts of data, make predictions about customer behavior and automate repetitive tasks, which can help to create more efficient and effective marketing campaigns.

However, it’s also important to note that AI is not a replacement for human creativity, strategy, and judgment. Successful AI-powered marketing campaigns will require human expertise and AI technology to make the most of their capabilities.

Can Google detect AI-generated content?

Yes, Google can detect AI-generated content. But it may not care. If your AI content creation meets Google’s standards for quality, including experience, expertise, authoritativeness, and trustworthiness, and is relevant to user search intent, then Google will still deem your content as important.

Should brands disclose AI use in content creation?

Yes and no. There are studies that have shown disclosing the use of AI is beneficial for some companies, including a 47% lift in ad appeal, a 73% lift in ad trustworthiness, and a 96% lift in overall.

However, if you’re just using AI for small, trivial processes like grammar checking, variation development, etc. AND humans are still the driving force behind your processes, disclosing the use of AI may not be necessary.

How can marketers ensure brand voice consistency?

To ensure brand voice consistency, marketers need a well-defined voice guide. This should outline tone, personality, vocabulary, and phrases to avoid. From there, ensure every writer (human or AI-assisted) reviews the guide before creating anything. Once content is created according to the brand voice guide, use quality assurance checks to have content strategists, account stakeholders, and clients review. If everyone is aligned on the voice and tone guidelines, brand voice consistency will be natural.