Today, everybody does thorough research before making a purchase. Without a highly persuasive copy, converting your prospects to customers is a lot harder than convincing your grandpa to abandon his traditional old phone for a new smartphone.
That said, you have two options:
- Hire an expensive copywriter to put together a persuasive copy that talks to the hearts and souls of your customers. Or
- Do it yourself with the help of AI copywriting tools
Hold on, what in the world are AI Copywriters?
What is an AI Copywriting Tool?
An AI Copywriting tool is a content generator that uses AI to create highly targeted copy based on the topics, keywords and context that the user has provided. Most AI Copywriters like Jasper and CopyAI are powered by a Natural Language Processing model called GPT-3, developed by OpenAI.
These AI copywriters have interfaces and templates that utilize popular copywriting frameworks, making it easy to generate exactly what you need for different use cases.
How Do AI Copywriting Tools Work?
There are two ways that AI works with content creation:
1) Using Machine Learning
Machine learning involves training computers to make decisions through trial and error. To train these systems, you must provide examples of what good content looks like. Once trained, the system will try to replicate those results as best as possible.
2) Natural Language Processing
NLP refers to how humans communicate with one another. When people speak, their words don't always follow strict rules. Instead, there's often a lot of variation between different speakers and even within individual sentences.
NLP takes into account these variations so that computer programs can understand human speech better than ever before.
This means that if you're trying to teach a program to talk naturally, you'll need to give it lots of example text from real conversations. If you only feed it short snippets of information, it won't know enough to create something meaningful.
In addition to mimicking normal conversation, NLP software can also recognize patterns in written communication. For instance, it might notice that certain phrases tend to appear together frequently. These combinations could indicate important keywords or themes that should be included in any given piece of content.
In both cases, once the algorithm understands what makes great content, it can start producing similar material automatically.
Examples of Some of the Best AI Writing Tools
- Jasper AI Writer: For writing complete copy and blog posts
- Writecream: For generating highly personalized cold outreach intros for Emails and LinkedIn
- Copymatic: Intuitive tool for quickly generating short copy
- CopyAI: for AI copywriting
- Scalenut: for long copy and SEO blog posts
- Frase AI: for SEO optimized copy
Why Use an AI Copywriting Tool?
AI tools aren't just useful for writing; they can also improve customer service interactions, automate repetitive processes, and more. Here are three reasons why businesses may want to consider using such services:
1) Save Time & Money
If you've got a ton of content to create but not nearly enough resources to spare, then hiring someone to write every single page probably isn't feasible. An AI tool can help by doing most of the heavy lifting for you.
These tools understand context and nuance, which allows them to generate unique ideas based on specific requirements. Plus, their ability to learn from past experiences helps them avoid repeating mistakes. So if you're looking for ways to save money or increase productivity, then you should consider leveraging the power of AI copywriters.
That way, you get to spend more time focusing on things that matter — like growing your company.
2) Improve Customer Service
Chatbot-powered support platforms have been around since the early 2000s. They allow customers to interact directly with automated agents instead of having to wait on hold.
The challenge with earlier chatbots was that they lacked emotional intelligence. A bot programmed without understanding emotions would likely respond to complaints with robotic indifference. This wouldn't exactly inspire confidence in potential buyers.
Today’s chatbots have been programmed in a way as to hold mature conversations and even appeal to the emotional side of users.
These days, companies use them to answer questions about products and services, schedule appointments and resolve billing issues.
3) Nib Writer's Block at its Bud
We’ve all been there. Copywriters and writers alike. Staring on a blank page with a blinking cursor without being able to get started. It’s like our minds are temporarily blocked from functioning, and before we know it, it’s been almost an hour, yet nothing is coming up….
AI copywriting tools don't suffer from writer's block. As long as your hands can reach that generate button, your blank page shouldn’t remain blank for long. Once you have your angle kickstarted for you, then your mind should start ‘working’ again.
Popular Copywriting Frameworks Used by AI Copywriters
With almost every AI copywriting tool discussed in this article, you can expect to find templates based on the following copywriting skills:
AIDA: AIDA framework stands for Attention, Interest, Desire, Action. This framework uses four steps in the persuasive process.
- Attention: This introductory paragraph or statement is crafted to have scrolling readers pause and listen
- Interest: Offer eye-opening truths that address the readers’ pain points
- Desire: Build up momentum with a great promise that you can help them with.
- Action: This is your call to action. Marketers love CTA instead. Here you invite your prospects to take action that brings them closer to what they desire, whether making more sales, having quality leads, reducing pressure etc.
An example of an AIDA copy generated by Jasper is as below:
That's a copy that is almost usable right away, all generated in less than two minutes.
Features—Advantages— Benefits (FAB):
- Features: Capabilities of your product or service
- Advantages: Illustrate why this is helpful
- Benefits: Attach the benefits to features.
Remember, in copywriting; we focus on the benefits and the why, not the features. So, since we are talking about AI copywriters, let’s try and run a FAB template on it.
This time, we will use CopyAI’s Features— Advantages— Benefits template. I fed in the following context to guide AI to give me my desired output:
On running the command, we get the following output:
Of course, XDDifference is a company that I just made up, but CopyAI was still able to use my context to generate a copy, which with a few edits, is quite solid. To come up with a copy like that on my own would have required an hour or so of research time alone.
Before— After— Bridge
Before: Emphasize how your prospect’s world looks like right now before trying out your services.
After: Have your prospects imagine the future when that pain point has been dealt with (by your solution)
Bridge: Offer the bridge. Between Before and After, there’s a missing piece, which is your magic wand. Your product is how your prospects can bridge that gap.
Let’s try running the same context with the BAB framework using CopyAI:
Problem — Agitate — Solve
This framework requires you to:
- Identify a problem
- Agitate that problem
- Solve the problem
This framework is often used in social media copy as it is easy to apply in lists and tips. You let prospects imagine life if the problem were to persist without being solved.
An example of PAS copy generated by Jasper for the Writer’s block that AI content generators can solve looks like below:
AI Copywriting Limitations
While AI tools might be able to churn out high volumes of text quickly, they won't always come up with something brilliant or original. And that's okay! Because even though they can't match us word for word, they can certainly provide us valuable content to work with.
That said, here are three limitations worth noting:
1) Limited Creativity
Unlike humans, who possess both conscious and subconscious minds, AI tools only operate within the confines of their programming. As such, they aren't capable of generating new concepts entirely on their own.
This means that they won't come up with original ideas unless you provide explicit instructions. And even then, human intervention will always be needed to perfect the generated copy. Otherwise, they will simply repeat whatever was last used.
2) Failure to Emulate Human Emotions
Appealing to people’s emotional side is one of the most powerful strategies that veteran copywriters use in wording their copy. AI copywriting tools still struggle when it comes to writing copy that isn't just good on paper but one that your target readers connect and relate with.
As these tools continue to be developed, however, it is likely that more personalized and effective copy can be generated using AI. To achieve this today, you need to carefully craft your instruction for AI tools to follow, including the following:
- Marketing angle
- Your branding style
- Whom your target audience is etc.
3) Lack of Contextual Understanding
AI tools tend to focus solely on keywords and phrases rather than considering broader issues. For instance, if you want to write compelling headlines, you need to know why someone wants to buy your product. You also need to think about things like pricing, customer service, delivery times, etc.
Contextual awareness plays a huge role in determining how well an idea resonates with customers. But because AI tools don’t have access to real-time data, they often fail to consider important factors like location, demographics, seasonality, competition, etc.
In other words, while AI tools may be great at producing generic copy, they cannot create truly targeted messages. This is where human writers shine. They not only have the knowledge required to produce relevant messaging, but they also have the flexibility to adapt to changing circumstances.
FAQ About AI Copywriting
Will AI replace Copywriters?
No! There will always be room for human writers who have an eye for detail and creativity. However, AI technology does offer some advantages over traditional methods.
For starters, it doesn't require much manual input. That means less time spent editing and proofreading content after it comes back from production.
Another benefit is that it delivers higher quality output because it learns from previous projects rather than relying solely on intuition.
Finally, it can handle many types of tasks at once.