If you’re someone who uses AI every day, you can probably catch within seconds when a sentence starts with, “In this ever-changing era of digital marketing…”, it screams artificial intelligence and ai copy.
Don’t worry this article won’t begin like that. We’re not here to talk about “AI’s sweeping impact across every digital domain”.
Instead, we’ll focus specifically on AI and copywriting, the collaboration of automation and creativity that determines the words you read in ads, emails, websites, and scripts nowadays. David Ogilvy would love this article.
And in all honesty, if we tried covering everything AI touches, this article would be a book.
Why Do People Choose AI in Copywriting?
We know the reality of copywriting, it isn’t just about catchy and witty slogans anymore, it involves brainstorming, research, strategy, tone development, SEO alignment, constant iteration and hours & hours of staring at a blank wall.
And to add to the productive efforts, ai copywriting comes to play here. This brings us to the question, what is ai copywriting? It’s the use of artificial intelligence to assist in the creation of marketing and promotional text.
When deadlines stack up and multiple campaigns need content at once, AI copywriting jumpstarts the writing process. We know the initial results aren’t perfect, but they give us something to ideate with.
It’s a step towards curating initial drafts with basic (ai) copy generation, providing professionals like yourself a jump start.
Moreover, AI copywriting can enhance and enrich the ideation process by suggesting alternative phrasings, styles, and perspectives.
It’s also a brilliant tool for gathering knowledge in unfamiliar industries. For example, a B2B tech or website copy ai writer might need to quickly learn about blockchain or logistics platforms.
Thus, feeding AI a few prompts can offer a quick 101, backed with semi-structured content that can then be refined and studied for corrections.
And for brand related communications, brand voice and tone consistency is above everything else. Thus, AI tools help smooth out inconsistencies.
How?
Tools like Grammarly and Hemingway analyze sentence structure, tone, and readability. These tools are often AI-powered and assist copywriters in keeping the brand voice aligned throughout campaigns.
If you are someone who works with international teams across time zones, using such tools can be boon as quality checks can’t always be instant.
Why Can AI Be the Help You Need in Copywriting?
The best AI for copywriting does more than string together sentences.
For instance, building Standard Operating Procedures (SOPs) becomes a cake walk with the help of AI as it helps in organizing how your team approaches everything in copywriting from idea brainstorming to editing.
With that being said, we can streamline content workflows, keeping everyone on the same page,which is especially helpful in large organizations.
How?
Here’s an interesting practice that I have adopted: I process the result from a ChatGPT free version to Google Gemini for mistakes, SEO practices check and sentence structure and then pass the same through ChatGPT 4.0 for cross-verification.
This multi-layered check boosts the content’s reliability and minimizes errors, repetition and hallucinations, which are AI-generated inaccuracies.
Moreover, AI has shown significance in strategic thinking for work and process planning along with hyper-personalization for campaigns set for email marketing, social commerce and performance marketing.
A few years ago, this would be unthinkable but now, AI can segment audiences based on behavior, demographics, and past interactions to craft personalized content that drives clicks and conversions.
Plus, in terms of research, AI can scan forums, Reddit threads, Google help community reviews, and comment sections, these are the sources that human researchers might miss.
This enables a deeper understanding of audience sentiment and pain points.
That being said, can you calculate the amount of time you would require to do the research structured above?
It will probably cost you days, if not weeks. And for this, cost-effectiveness is another major draw.
A copywriting AI can reduce the need for hiring large teams for basic content needs, freeing up budgets for higher-level strategy and human-led creativity.
Areas Where AI Falls Short
Despite tons of use cases for ai copywriting, there are notable limitations that you should get your awareness educated on.
Firstly, the facts that AI generates and provides you as results are often too generic and cliche for your readers to read.
Why?
Developers build and train AI models on broad data, so they often miss the mark on showcasing industry-specific knowledge, unless we use extremely detailed and exclusive prompts. But even then, the AI doesn’t always follow our prompts.”
You could ask an AI not to rephrase, and it may still do so (I have been facing this issue for so long, I understand your pain).
This lack of prompt exactness leads to repetition, dilution of tone, or even off-brand messaging. Imagine creating a 10-post LinkedIn series only to find that half of them sound identical, this happens far too often.
Creativity is also an issue. AI may offer multiple headline variations, but many sound similar and uninspired. AND FULL OF EMOJIS.
Use of creativity also opens the doors for emotional intelligence, the core of powerful copy, is something AI doesn’t genuinely possess. It can mimic empathy, but can’t originate it.
You may find AI tools built to exercise mental health, but they also have their limitations.
Another problem is exaggeration.
AI copywriting tools sometimes use over-the-top phrases that sound unrealistic or inauthentic, especially in sensitive industries like healthcare or finance. Without human checks, these errors can lead to reputational damage.
Try this: ask AI if the stats it has provided you as results are true or not. I am sure it would give you a no, to cancel this, use the multi-layer check with ChatGPT free version then Google Gemini and then ChatGPT 4.0.
And then there’s the issue of originality. AI pulls from existing datasets. So while the phrasing might be new, the ideas rarely are.
For example, articles generated purely by copywriting ai on the topic of productivity will likely sound like a rehash of top-ranking blog posts from the past five years.
Will AI Really Take Our Copywriting Jobs?
In one word, NO!
Professionals and researchers have pointed out that AI must be treated as an addition to your efforts, a push to your ideas.
You would have to command a juicer to cold press and squeeze out juice from the fruits, the juicer would not just understand unsaid commands and just get you your juice.
Just like that, ai copywriting is as plain as a juicer sitting idle without the commands from you.
Copywriters around the world would still require to “humanise”, “optimize” the content ai copywriting feeds them along with making it “conversational”.
Without this, your content is as good as unpressed fruits in a juicer.
Great copy doesn’t just inform, it also persuades, connects, and moves people emotionally, and all that without the use of overly used emojis.
AI might help you outline a newsletter, but it won’t sit in a brainstorm meeting and tell you that your campaign needs to be “more chaotic Gen-Z energy.” It can’t understand audience mood shifts based on recent trends. It doesn’t watch TikToks or hear sarcasm on Reddit threads.
Think of AI as a calculator. It enhances the human brain, but doesn’t replace it. A calculator can solve equations, but only a human can decide which problem is worth solving.
Personally Used AI Tools
I, personally, rely on a suite of best AI copywriting tools, each serving a different purpose in the content production cycle:
ChatGPT 4.0: Ideal for ideation, first drafts, tone tweaking.
Claude: Used for deeper contextual understanding and restructuring narratives. And cross referencing.
Gemini: Final review and structuring.
Gamma AI: Used for making PPTs that aren’t boring.
ClipChamp: Helps with video editing, voice syncing, and subtitle generation.
ElevenLabs: Brilliant for AI-generated voiceovers for scripts and reels.
Midjourney: Great for creating visual metaphors and imagery for content-led campaigns.
Canva AI: Speeds up design with smart layout suggestions, resizing, and even social post generation.
Each of these tools plays a role, not as replacements, but as assistants to my team of copywriters, designers, and marketers.
