AI Copywriter Definition, What They Do, How They Do It
Table of Contents
TL;DR
An AI copywriter can refer to software that generates marketing copy using artificial intelligence – or a human using AI tools to enhance their writing. Here, we break down what AI copywriters do, how the writing process actually works, and when human judgment is still essential. AI copywriters essentially do the same thing as regular copywriters, and still need the same quality control.
What Is An AI Copywriter?
An AI copywriter can refer to a human that uses AI when writing copy, a human copywriter that optimizes copy for AI visibility, or a copywriting software that utilizes AI.
So, what is an AI copywriter in practical terms?
- It can mean the software – a digital tool that generates marketing copy using artificial intelligence.
- But it can mean a person who uses that software, or other AI tools, to streamline or enhance their copywriting work.
- Many copywriters use the term to mean they specialize in writing copy that shows up in AI-generated responses — like answers from ChatGPT or Google’s AI results.
All three of these definitions are now part of the AI marketing conversation.
If you’re a business owner trying to write your own site or emails, you’ve likely seen AI tools pitched as time-saving magic. And if you’re a professional copywriter, you’ve probably heard conflicting takes on whether AI is a threat, a shortcut, or just another tool in the box.
As an AI copywriter myself, I’ve seen a rush of people launching courses, tools, and agencies promising “AI-powered SEO” or “AI-optimized content.”
But what’s often missing is proof of results. There’s more to great copy than generating professional-sounding text. And there’s more to getting found in search engines or AI platforms than pumping out content.
AI is changing how we write – but it hasn’t replaced the fundamentals of copy that converts.
Whether you’re outsourcing to a tool or using AI to improve your own writing, it helps to know what’s actually happening behind the scenes. This blog is a straight explainer:
- What an AI copywriter actually does
- How the process works
- How to tell when AI-generated copy is good enough – and when a human still needs to step in.
Let’s go!
What Does An AI Copywriter Do?
An AI copywriter does most of the same things any copywriter does – just with help from a machine.
That includes writing website copy, ads, sales pages, email sequences, blog posts, lead magnets, product descriptions, and more.
The difference is in how that copy is produced.
Generating Text vs. Assisting The Copywriting Process
Some use AI to generate full sections of content, which a human editor then refines and shapes. And in some cases, businesses or agencies rely entirely on AI-generated drafts with minimal oversight—though that approach tends to come with quality trade-offs.
Sometimes, AI is used as an on demand assistant. I’ve seen copywriters using it to:
- Run searches and organize research, both for external data (like articles cited in a blog) to internal data (like a bank of customer testimonials)
- Do lots of brainstorming, especially for outlines, headlines, and bouts of writer’s block
- Get editing suggestions, particularly to clean up clunky phrasing and improve transitions between sections.
Many companies are hyping super-fast, low-effort AI content tools for copywriting. But survey data from Siege Media shows content marketers using AI to streamline parts of their process rather than replace it end-to-end.
Outlining (71.7%), idea generation (68.0%), and drafting (57.4%) are the top uses, whereas tasks like editing or enforcing strategy are less commonly handed to AI (Siege Media, 2025).
In my own projects, I use AI throughout the process. It varies quite a bit between different types of copy as well.
I’ve tried several AI copywriting software and LLMs, but I now exclusively use ChatGPT (the Pro subscription – $20/month). Making my own GPTs, using the web searching, and having the “memory” have made it worth it.
To me, it matters more that it follows my directions – not that it sounds like me. That’s because my writing process is more about organizing voice notes than generating new text. I also have an involved editing process, which cleans up the voice.
Tactically, here’s the best uses of AI in the copywriting process that I’ve found:
Project Management
Use a fresh chat to help you clarify your goals and make a roadmap. It can be for a 10,000 ft view of your whole business strategy or something closer to earth, like planning an email sequence. It’s fantastic to keep up the conversation through the process, noting what’s working well and what isn’t.
Research (Internal And External Data)
Particularly for gap analysis for blogs (e.g. what your competitors are/aren’t doing that you could be) and real-life examples to cite within your content.
Outlining Copy
I cannot emphasize how helpful a solid outline is for smoothing out the entire process. Web pages, blogs, sales pages, whole email campaigns – AI’s outlining help lets you jump from details to big picture view without getting so overwhelmed. Have AI give you suggestions and ruthless feedback on building outlines that match user intent and your ultimate goals.
Polishing Your Copy
AI is the second set of eyes you need when it’s 2 in the morning, and you don’t want to wait a week for an editor (or pay for them). I used it to suggest edits and propose relevant images and where they should go. I’ll also run blogs through to generate meta data and list additional places I could add my keywords.
There’s a lot of talk online about what AI “can” or “can’t” do – but in my experience, the output rises and falls with the input.
If you’re an expert (both in copywriting and AI), you can get AI to produce truly top-tier copy. If you’re less experienced, you’ll probably get OK copy.
It’s not just about prompting. It’s about direction and course correction. The skills you need to manage a human team well roll directly over to working with AI. If your goals aren’t clear and reasonable, and your instructions aren’t specific, the results won’t be either.
Executive training on team communication has been more practical and effective for me than any AI course or prompt library I’ve used. I highly recommend listening to podcasts and presentations from CEOs on communication if you’d like to prompt AI more effectively.
An AI copywriter handles the same things as a regular copywriter – but how do they actually write it?
How Does An AI Copywriter Actually Write Content?
There’s lots of ways to “write content” as an AI copywriter, from fully AI-generating copy to merely getting AI suggestions and feedback during the writing process.
There’s no single workflow for AI copywriting – and that’s part of the point. Depending on the project (and the writer), the process might look wildly different.
For example, my process for writing pillar pages and writing blogs is very different. Both use AI, and the pillars may feel like long versions of a blog, but it takes different processes to produce each.
Planning, Drafting, Getting Feedback
Through lots of trial and error with using AI to help with copywriting, I found that:
- Web pages need to be built in section blocks, and are design-heavy. Clarity rules over SEO, layout, and sounding professional. AI is helpful with suggesting section arrangements and noting areas for improvement.
- Pillar pages lean on the strategy you’re creating. Don’t simply crank these out. These are the foundation of your brand’s content playground. AI is helpful for planning the content playground and internally linking blogs you can create.
- Blogs answer questions. Sometimes ones the reader is searching for, sometimes ones they didn’t know they’d be interested in. AI is helpful for outlining, keyword placement, and editing suggestions and keeping your blog on track.
- Emails nurture people. AI doesn’t have access to email data like it does to web data, so it’s especially bad at email generating, which makes it sound bland and fake. AI is especially helpful for taking data you’ve gathered about your list (high performing emails, subject lines, etc.) and building more like it.
The #1 consideration is knowing what you want before you generate a single word.
That’s the biggest mistake I see beginners make – especially businesses trying to write their own copy with AI.
They open a tool like Jasper or ChatGPT, ask it to “write a homepage,” and get frustrated when the result sounds generic. Then they give it paragraphs about their goals and audience, and get slightly less generic copy.
Even when they provide lots of context, these companies massively underestimate how important data-gathering and testing is.
There’s no right answer to what you should say on your copy. You can only make an educated guess, and see if it helps, then make tweaks with more educated guesses.
AI can really help you make an educated guess, but these companies don’t give themselves a fighting chance when they don’t share ultra-relevant details with AI. Things like company case studies, customer testimonials, and actual numbers and results from their launches.
If you’re new to using AI for copywriting, start by getting clear on:
- What you’re trying to sell
- Who you’re speaking to
- What action you want them to take (the CTA)
- What you’ve seen work (or flop) in the past
- ANY original company material that would add relevant context (launch analytics)
Remember – you can always ask AI to ask you what it needs for better context.
Use AI to help structure your thoughts. Not just spit out content. Ask it to help you outline your message. Talk through your offer. Define your voice. Solidify your destination before you ask it to help with the map.
For professional copywriters, AI becomes more of a collaborative engine.
Some use it as a research assistant, pulling key themes or angles from long interview transcripts.
Others use it to test multiple hooks, subject lines, or calls to action.
Many layer their workflow: using AI first for speed, then editing heavily for tone, clarity, and conversion.
No matter the workflow, the best results come from strong inputs. That looks like original data, stats from previous launches, real testimonials, and clear messaging strategy.
AI can help surface those elements and strengthen the structure. It can’t invent them for you.
Lots of the copywriting process has relatively low creativity – like research, generating text variations, and getting editing suggestions. That’s where AI tends to be especially helpful in expediting the process.
Copywriting is tough to automate – not because AI can’t write (it can do an excellent job), but because great copy depends on highly relevant, constantly changing data.
It’s easy to include too much or too little information and end up with watered-down copy, whether you’re using AI or not. Things like launch numbers, recent events, or a lead’s specific segment all shape what your copy should say to be effective.
Copywriting needs a human hand in most cases. But how do you know when to do things manually versus when to use AI?
When Is AI Copywriting Enough –And When Do You Still Need a Human?
AI copywriting can be enough – but only if it’s driving the results you care about. Humans are needed to set goals, make judgement calls, and keep course correcting the process.
It doesn’t matter whether the copy came from a seasoned writer, a free ChatGPT account, or an expensive agency using AI behind the scenes. If it’s converting leads, ranking in search, or helping customers take action, it’s doing its job.
But AI doesn’t know your goals (both big and small) without your input.
Inputting Original Data Requires Humans
It can’t tell if the sales page it wrote is actually converting. It can’t catch subtle mismatches between your copy and your offer. And it won’t raise a flag if the voice you’re using feels off-brand or confusing to your audience.
Copy isn’t static. Professional copywriters know what to look for to see whether copy is doing its job. And just as importantly – they know what analytics will give them clues on how to write the next copy better.
One of the most helpful habits I’ve built is pausing after a draft and asking:
“Is this just well-written, or is this actually lining up with the goal?”
Also:
“Is there another part of this process – besides text generation – that AI could help with?”
If the copy sounds smooth but doesn’t reflect my goals, my offer, or my audience, it’s not done.
Plus, AI’s limits mirror your own.
If you’re not familiar with what effective landing pages look like, or you’ve never written a nurture sequence, it’s going to be hard to get AI to produce something truly strategic. How do you do quality control when you’re not familiar with what quality copy looks like? You’re shooting arrows at a blurry target instead of investing in some glasses before taking aim.
If your marketing strategy isn’t working, AI isn’t going to magically save it with better words.
That’s why you still need a human perspective to:
- Check and consider analytics. Are people clicking, buying, subscribing? What do you want to do more and less of?
- Get customer feedback. Do your readers feel seen, understood, or inspired to act? How are you collecting that feedback, and what are you doing with it?
- Spot inconsistencies. Does this copy align with your actual offer – or is it just filling space? What are the actual analytics that’ll reveal whether the copy is effective? What else should you check to make sure it’s not hurting your copy’s impact – like slow page loading?
AI can take you far. But the final checkpoint has to be human. Someone who understands the big picture, is willing to adjust based on real-world feedback, and knows how to turn insight into stronger communication.
Have AI Handle Super Standardized Processes
One big benefit of AI that I see many new or non-copywriters miss is knowing which parts of copywriting are standardized (great for AI automation) and which parts need to be flexible (better for humans with AI-human collaboration).
For example, a CarMax, the used car realtor, was overwhelmed with how many car descriptions they needed. A tiny content team versus years of digging through thousands of reviews for each make and model. But with ChatGPT, they were able to aggregate human reviews into useful summaries for the respective cars (CIO, 2023).
In a few hours, CarMax handled the work of dozens of writers – and saved hundreds of hours of research.
Can AI Replace Human Copywriters – And Should It?
AI copywriting has already replaced some human copywriters. But in most cases, it’s not replacing effective ones – it’s exposing the gap between copywriters writing copy that never drove results in the first place.
For businesses, AI bridges an expensive chasm. It gives scrappy founders and lean teams a way to build websites and content, test ideas, and build faster than ever before.
It’s the dream scaling machine for volume, iteration, and speed.
But copywriting isn’t a participation award. Professional copy doesn’t inherently drive revenue. If your message isn’t resonating – if your audience isn’t clicking, signing up, or buying – then the copy didn’t do its job. Human written or AI written.
Strategy, judgment, and real experience still matter.
Mastering the basics still matters.
Testing and iterating still matters.
What’s an AI copywriter? It’s a copywriter with AI, an AI that writes copy, or a copywriter that writes copy that gains AI visibility.
Until it autonomously writes copy that drives conversions that boost revenue, AI will need human help with copywriting.