The Ultimate Guide to
AI Marketing.

Everything you need to know about how to use AI in your marketing strategy (and the tools to get you started).

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AI marketing: Everything you need to know

These days, it seems like marketing teams are constantly on the lookout for innovative ways to educate audiences, attract customers, and hit their goals. And as budget and headcount fluctuate, the need for a solution to “more demand with less resources” is vital to any organization.

Many companies are now looking to artificial intelligence platforms to hit intense goals without the burnout. And even more than helping with your workload, AI marketing platforms can offer more comprehensive insight into a company's customer base and provide data-driven strategies that drive conversions.

What is AI marketing?

AI marketing is the use of AI technology (often AI content generation tools) to automate marketing tasks, increase team efficiency, and stoke creativity. Example use cases can include anything from creating blog content to sending out sales emails.

Most AI content writing tools and platforms are generative AI-based, which means they are able to generate text and images based on what you ask it to create. How? Because it’s trained on existing data from about 10% of the entire internet!

While AI can help speed up your marketing efforts, you should note that it’s not meant to actually replace any of your team members — it should help augment their work and processes.

Benefits of using AI

Increased Efficiency

One of the biggest benefits of AI marketing is that it can help businesses increase their efficiency. By making the content creation process faster, businesses can free up time and resources that can be better spent elsewhere.

Improved ROI

Another big benefit of AI marketing is that it can help businesses improve their ROI.

Because AI-powered marketing tools are able to provide detailed insights and data-driven recommendations, businesses can make more informed decisions about their marketing spend, leading to better results.

Sparks creativity

Creativity is one of the most underrated aspects of marketing, but without it, your campaigns fall flat and don't perform. Still, it can be hard to get those creative juices flowing.

AI content generators like Jasper also offer the benefit of being your brainstorm buddy — they get ideas on the page to help kickstart your imagination.

Better cross-collaboration

Instead of operating your marketing channels in silos, AI content tools can offer a central creation hub for your team to create assets that match in style and tone of voice.

You can also quickly repurpose copy for all your different channels and campaigns using content templates.

How to use AI in your marketing channels

One of the biggest challenges when bringing AI to your team is understanding exactly how to use it.

Let's explore a few different ways you can incorporate AI into your marketing channels.

AI for blog writing

Have you ever wished you could clone yourself so you could write more articles, faster? Well, you can make that happen with AI content tools (kind of).

Despite what you’ve heard, AI isn’t here to replace writers. It’s here to help them. With AI, writers can:

  1. Generate long-form content quickly
  2. Ditch writer’s block
  3. Create content briefs and outlines
  4. Write blog titles and descriptions at scale

While AI content tools can help you write faster, remember that it won’t be publish-ready immediately. The content you produce with AI will still need to be fact-checked and edited by a human on your team. Most tools even come with a built-in plagiarism checker to help you maintain quality.

AI for copywriting

Not to be confused with blog writing (long-form writing), copywriting (shorter-form writing) is one of the most important aspects of any marketing campaign. But it can also be a lot of work, especially when you’re dealing with tight deadlines and a large volume of assets.

Luckily for copywriters, AI content tools shine when it comes to creating short-form content.

With AI copywriting tools, marketers can generate copy of all kinds, really fast:

  • Ad copy
  • Customized headlines
  • Email subject lines
  • Landing page copy
  • One-pagers

Another underrated benefit of AI content tools is that they can help copywriters with one of the most annoying aspects of the job: writer’s block.

AI for SEO

Search engine optimization is all about understanding what your target audience is searching for then meeting those needs with content. And guess what? AI can help with that.

AI content tools can help SEOs:

  • Do keyword research
  • Create outlines based on SERP research
  • Produce high-quality articles at a faster pace
  • Battle content decay by optimizing older content
  • Write blog titles and meta descriptions at scale

AI has proved to be an incredible resource for SEO professionals, but it should be noted that the content you create should still be reviewed and edited by a human on your team. While AI content outputs are getting better and better every day, it still isn’t in a place where it can be publish-ready right out of the gate.

AI for design

Design is another area where AI is starting to make its mark. If you’ve been keeping up with AI news at all for the past few months, you know how buzzy AI-generated art has become.

Similar to AI writing tools, AI-generated art tools shouldn’t replace your designer, but it should give them another way to spark creativity and produce incredible visuals quickly for:

  • Brand redesigns
  • Infographics
  • Ebook covers
  • UX elements

And so much more.

Challenges of using AI in marketing

Most of today’s challenges with using AI come simply from it being so new and unfamiliar. The two main challenges we see are getting leadership buy-in and creating processes.

1. Piloting AI at your company (and getting leadership buy-in)

Not everyone has an “early adopter” mindset, which means even if you see the value AI can bring to your team, your teammates or leadership may still see it as risky or unproven.

Look for small ways to implement AI in your workflow and speak up about the positive impact you see.

2. Creating new processes

AI tools are relatively new, especially in the marketing world. When implementing a new AI content platform, it may be time consuming to create new processes and best practices from scratch.

Think ahead of time about how you’ll handle the following moving pieces:

  • Team training
  • Project requests
  • Best practice documentation
  • ROI and performance insights

It’s time to embrace AI

If you’re looking for a way to do more with less, AI marketing may be the solution you need.

With so many benefits and potential applications, it’s worth considering how AI can help your team hit its goals. And Jasper is here to help.

Ready to explore an AI-powered marketing strategy?

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Frequently asked Questions

AI Marketing FAQ

What are the different types of AI in marketing?

Generative AI and/or GPT-3 is what most people think of when talking about AI in marketing, but there are a few different types of AI that are important to remember when talking about AI, including natural language processing (NLP), machine learning, and computer vision.

Natural language processing (NLP) is a type of AI that focuses on analyzing and understanding human language in order to improve communication between humans and machines. Machine learning is a type of AI that involves training algorithms to make predictions or take actions based on data. Computer vision is a type of AI that focuses on enabling machines to interpret and understand visual data from the world around them.

Right now, natural language processing is the type of AI that is most impactful and practical for businesses to use. This is the type of AI that powers all generative AI tools, including Jasper.

How do I create an AI marketing strategy?

To create an AI marketing strategy, there are a few key steps you should follow:

1. Identify your marketing goals and objectives, and consider how AI can help you achieve them. This will help you focus your efforts and prioritize your AI initiatives.

2. Research and evaluate different AI technologies that could be useful for your marketing efforts. This could include natural language processing, machine learning, or computer vision, among others.

3. Develop a plan for implementing AI in your marketing efforts. This should include a timeline, budget, and resources needed to successfully integrate AI into your marketing strategy.

4. Begin testing and implementing AI in your marketing efforts. Start with small, controlled experiments and carefully monitor the results to identify any issues or areas for improvement.

5. Continuously evaluate and optimize your AI marketing strategy. This may involve collecting and analyzing data, adjusting your AI algorithms, or experimenting with new technologies and tactics.

Overall, the key to creating an effective AI marketing strategy is to carefully plan and execute each step, and to remain flexible and open to adjustments and improvements as you go.

How can I measure AI's impact on my marketing efforts?

It depends on what you're using it for, but let's use blog production as an example.

AI is successful for a blog writer if it:

1. Speeds up their workflow (Reduces time spent on writers' block and getting to a rough first draft).

2. Performs just as well in search or on socials as it would had the writer written it completely alone.

You should judge the impact of AI content on whether or not it's helping to save you time and meet your team's goals.

More AI marketing resources

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