Artificial intelligence tools can help you as a copywriter or marketer. Some work so well that they will put many out of business. Many tools are coming on the market.
Because some tools are more valuable, I've decided to assemble an inventory. So many copywriters and marketers debate their usefulness. My goal here is to answer the “what” question so we can focus on “how.”
Rather than discussing what tools are best, let's look at how to use these tools to profit. I've tried each of these tools. They are all fundamentally the same.
The critical value of artificial intelligence tools is time savings. It's like delegation to a helpful yet naive assistant. You'll get a practical response if you ask the right questions.
With the wrong questions (prompt), you'll go down a time-wasting rabbit hole.
Yet, you'll get patterned garbage if you don't have suitable prompts. Remember, artificial intelligence will give you an answer even if it is wrong.
It's the same challenge you'll face with staff. Something I cover in my STAFFING ARBITRAGE SECRETS program. Even with tools, you have significant professional responsibility if you want results.
Artificial Intelligence Tools That Help With Images
With most of these tools, I have someone on staff use them. For this article's sake, I took the time to use each tool listed here. However, I don't recommend you “use” any of them when you can delegate.
- Magic Eraser removes objects from images. This is perfect for making call-out cards or cleaning up images quickly. A “call out card” is a blank background to overlay text.
- Adobe Express lays out images with text overlays. Excellent for putting together thumbnails, book covers, and social media posts. Provides thousands of templates.
- Canva uses AI for image generation, image ideas, and design elements. Has a teams option that simplifies billing. Thousands of templates.
I'll write a separate article about image tools as this list grows. What artificial intelligence image tools are you using in marketing?
Writing tools that use Artificial Intelligence
There are so many tools on the market. Likely be many more by the time this publishes. I've even used AI API for internal Python tools. But if you don't want to be a data nerd, then start here:
- Rytr is an AI writing assistant. This tool helps with content generation and ideas. Your copy can be written alongside your thoughts.
- Copy AI A blogging and marketing-centric AI tool that helps you write faster. Writing more engaging emails is the promise.
- Jasper Promises to write blog posts and artwork faster. Content generation for advertising and articles.
- Wordtune helps improve the quality of your writing. Like other editors, there is a sidebar to make suggestions. Great for proofreading.
- Grammarly checks your work for English language proficiency. Use this to write more clearly. There is also sentiment analysis.
- QuillBot is an AI-powered paraphrasing tool that helps improve writing. You have options for rephrasing or English dialects.
- Writer Writing platform with team access. Seeks to improve writing workflow from creativity, and drafting, to distribution.
- Regie.AI is an AI content platform for creation and management. Write blogs, social posts, and sales sequences, and manage content in one place.
- Originality.AI A plagiarism checker and AI detector for content publishers. Promises a future version with complete site scanning.
- Copymatic Helps rewrite existing copy, summarize, and check for plagiarism. It can build marketing copy from templates.
Sentiment analysis is understanding how your writing might sound to other people. AI tools tend to apply writing rules, check for common errors, and make writing clearer.
My bet is this is the next bubble. Artificial intelligence tools work equally well. Some have better interfaces than others.
Your success comes from the methodology and approaches you have with these tools. I won't hire as many cub copywriters, but that doesn't mean I'll write more regular newsletters.
NOTE: If you're in India or the Philippines, living large on SEO, email copywriting, or social media posts, you are in trouble. For $20 a month, I can replace thousands of dollars in your services. Write with your questions and challenges; we need to get your rates up domestically.
Content marketing was dead a long time ago. Artificial intelligence writing tools will make it less effective, but most marketers will be too busy to notice.
Any one of these tools can bury you in mediocre copy. If volumes of content are all you need, they'd still be selling encyclopedias door to door.
A Quick Background On My Writing Process
These tools help with my third draft. While you can use them to create new content, they tend to produce resources for a general audience.
My first draft is post-research, collecting ideas into a logical order as quickly as possible. Driving out core content based on copy formula, top of mind, and experience.
RELATED: Extreme Productivity Insights for Smart Copywriters (YouTube, 29:11)
The second draft cleans up those original materials for the projects at hand. This is audience-specific material that is also structurally aligned with the content purpose.
In simple language, the second draft is ready to run by a client as a concept. However, it's not ready to publish.
How I Use AI To Write More Clearly
Writing to a niche audience is different. You need to focus on the emotional motivations of your audience. A good first draft is made better, but the foundation needs to be there.
- AI summarizes content,
- AI writes social media,
- AI helps with customer avatars,
- AI checks grammar and spelling,
- AI mines content for new ideas,
- AI helps turn analytics into intelligence,
- AI saves me 2 hours a day easily,
Your judgment is also necessary regarding the applicability of the response to your audience. AI tools tend to provide you with what has the highest probability of acceptance by the operator.
There are ways I cheat with the tools. For example, I'll paste the short copy into the Hemingway Editor using a Grammarly-enabled browser. This gives me good synthases of suggestions.
Another way is pushing a year's worth of analytics through a multivariant model to give me ten top-performing pieces of content. That content is fed to AI to suggest new content for a specific target audience.
My focus is on readability for a general knowledge level niche audience. Neither tool does an excellent job of talking to the niche, but they make my writing easy for a child to understand.
Together I can get my writing down to a fifth-grade reading level. Yet it is hard for me to game either tool. Lowering reading levels alone can be done with short sentences.
That's when Grammarly kicks in when a sentence loses context. Seeing both tools work together means one pass instead of two. Yet I don't write in any of these editors.
Why Methodology Is More Important Than Tools
My first draft is produced in Markdown using as simple an editor as possible. No spell checking, no grammar checks, only words on a page. All my writing is in an Obsidian vault.
My vault contains 22 years of writing, plus research, maps of content, and observations. All of that is linked into my draft, then removed as content evolves. Millions of words.
This means I build on my experiences and research before presenting materials to artificial intelligence. I'm using natural intelligence to establish context to judge suggestions.
If you don't do this, you'll accept AI recommendations that sound good but aren't factual. My theory is that machine learning produces generic ideas and concepts because it doesn't have context.
You could have the wrong audience, idea, or approach even with the right tools. Treat AI as a writing assistant, not as a cub copywriter. Your knowledge and skills still matter.
If you have an advertising budget of $10,000 or more, contact my offices about a recent optimization breakthrough that can instantly triple that budget's impact.
