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AI Copywriting | 2025 Guide

AI Integrations With Copywriting Tasks, How-To’s, Real Life Examples

by Sarah Check & AI Sarah

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TL;DR

AI copywriting is fast and affordable, but it’s only as effective as the strategy it’s part of. While AI excels at generating content, analyzing data, and streamlining workflows, it tends to homogenize both writing’s content and voice. Humans have to steer AI to avoid generic output.The best-performing businesses use AI to support existing systems, and allocate human expertise for AI-resistant tasks. AI is particularly useful for A/B testing, translation, repurposing content, and automating routine tasks, but humans have to handle accuracy, persuasion, and high-converting copy. Studies show that human-written content still outperforms AI in traffic and conversions.

What Is An AI Copywriter?

It’s AI software that writes text for marketing – and with a human copywriter steering it, it doesn’t lose strategy or quality control.

Whether you’re a freelance copywriter or salaried staff member, AI copywriting is a conversation all marketers need to join. Their competitors already have.

A recent survey showed that most copywriters use AI – only 21%  aren’t using it.  21% use it daily, 48% use it weekly, and 9% use it monthly. Most copywriters are using it to some degree (20i).

Sometimes the results of AI copy are excellent. Other times, they’re underwhelming.

For example, JD.com’s AI copywriting system boosted their click-through rates by 4.22% and conversion rates by 3.61% (Arxiv, 2021). 

On the other hand, in Neil Patel’s study of human writing vs. AI writing, the human written ones drove 5.44X more traffic than the AI-written ones (Neil Patel).

What are successful businesses doing differently with their AI copywriting? And what can we learn to do for ourselves?

We built this guide to discuss how businesses are using AI copywriting today: what’s working, what isn’t, and how to start using it effectively in your own marketing (or your client’s). 

Copywriters have had to completely rethink their strategy since AI arrived. Our goal with this guide is to make shifting gear actionable and easier.

Human-produced copywriting is expensive and time consuming. Text generation, one of the most accessible uses of AI, seems an obvious replacement for many businesses. 

Traditional copywriting is expensive and time-consuming. Hiring a $5K/month contractor or a full-time copywriter at $38 per hour adds up quickly. So, with AI text generation becoming one of the most accessible and affordable tools, many businesses see it as an obvious replacement.

AI copywriting is fast, easy, cheap… but does it work?

Answers are mixed, especially when it comes to measuring money-making outcomes. Good copy alone isn’t the goal – it’s conversions and revenue that matter.

AI copywriting is relatively new, but results are emerging. Successful companies are sharing patterns in how they use it, and themes are appearing:

  • They’re using AI to support systems that are already working.
  • AI-resistant tasks are handled by people.
  • Data analysis is the prominent use case.

We’ll discuss all three.

How Can AI Help With Copywriting?

It can obviously help with generating copy and content, but it’s proving to be especially helpful with A/B testing, translation, and improving workflows.

AI in copywriting goes beyond basic text generation. It makes sense – copywriting is more than just writing.

“Some of the most frequent and important feedback we hear from marketers and [small and midsize businesses] about content creation is that they don’t have the time, data, expertise or tools necessary to create great tailored content, not to mention the time it takes to analyze it.” – John Humphrey, Head of Data Platform Product at Intuit Mailchimp (MailChimp, 2023). 

76% of marketers use AI mainly for basic content creation and copywriting, but they aren’t stopping there. SurveyMonkey also found marketers using AI a great deal for:

  • Optimizing content, like SEO and email marketing
  • Brainstorming 
  • Doing research
  • Analyzing data for insights
  • Automating tasks

So – how is this different from pre-AI marketing? 

For one, it scales substantially. Instead of manually combing through customer reviews for insights, AI can handle it within seconds. Instead of working through writer’s block with an internet search or muscling through, AI can instantly offer ideas.

AI is also much cheaper than hiring copywriters or marketing managers. Speed and low cost are clear advantages, but it bottlenecks at quality.

AI is clearly helpful – but does it improve results? 

It depends on the task. A recent meta-analysis found that human-AI teams performed worse than the best humans or AI alone in decision-making tasks – but showed significant gains in content creation (Arxiv, 2024).

Artificial intelligence excels in speed, but humans lead in judgment. Clearly, AI needs human guidance to stay on track, but it speeds up work compared to manual efforts. 

Here’s how businesses are actually using AI copywriting today, with real-world examples.

AI Can Generate And Improve Content

It’s AI copywriting’s hallmark use. 

Depending on the user’s expertise and marketing needs, there are different ways you can go about content and copy generation with AI.

With specialized AI copywriting tools, like Jasper, Anyword, Writer, and Copy.ai, you get to enjoy a suite of guided support. 

Within a single one of these tools, you can typically get copy/content creation, marketing strategy assistance, and more. It’s a great fit for companies that need a substantial amount of copy, need holistic support with marketing, or need extra security with their data.

General AI tools can also handle AI copywriting, like ChatGPT, Perplexity, Claude, and Gemini. They have a simple chatbot interface, and many are free or inexpensive. Using them for copy and content creation takes more intentional guidance and expertise. They’re especially powerful in the hands of an experienced copywriter or marketer.

Some AI tools improve the output of other AI tools. Plagiarism, inconsistent brand voice, and hallucinations (incorrect data) are common but substantial problems with AI-generated text. Options like Grammarly’s AI helps check text for plagiarism. Software like Acrolinx provides guardrails for AI writing by enforcing highly regulated style guides. These supplemental AI tools are good for companies that have specific quality assurance needs, like data protection or compliance.

Other tools help with repurposing content and copy for different platforms to expand distribution. For example, Recast Studio can take videos or podcasts and repurpose them into blog posts, emails, social madia posts, and more. Lumen5 can do the reverse, taking blogs and making them into videos. This is perfect for businesses that invest in creating quality long-form content to be broken down and repurposed for different platforms.

Text generation is only one facet to AI copywriting. 

AI Can Run Predictions On Copy and Performance

The tournament bracket of A/B testing can get expensive. Multiple versions of copy costs money and testing costs money – and that’s before the big ad campaign (and adspend) can begin. 

Wouldn’t it be nice to get AI to speed things along and help with costs? Google and Meta thought so as well.

Google Ads SmartBidding creates multiple versions of ad copy, then tracks performance metrics to predict what will work best. Similarly, Facebook’s Dynamic Creative generates variations of ads and analyzes their effectiveness. This lets companies find what works best faster, and spend less time testing and more time running ads and making sales.

For less expensive options, other prediction tools can help evaluate copy without A/B testing. For example, Anyword analyses ads and creates predictive performance scores based on extensive data from successful ads. Prescient AI analyzes historical data, creating predictive analytics to forecast ad performance across various platforms. 

Once successful copy is created, reaching even more people becomes a challenge. AI can help expand its reach by breaking through language barriers.

AI Lets You Expand Your Global Reach With Translation

One of the easiest ways to reach and convert more qualified leads is to offer content and copy in different languages. 

Human translation services are an investment, and the cost only goes up when you have a great deal of copy to translate. Generic translation software often misses nuances and distorts meaning, making it hard to preserve a copy’s integrity.

AI translation helps fill that gap, especially when guided by a human translator – just like AI copywriting works best with a copywriter.

Software like DeepL employs AI to translate and localize content while preserving its intended meaning across different markets. Some copy generators, like Copy.ai, have translation and localization features already integrated.

Translation isn’t limited to written content – translating videos, voiceovers, and social media content further expands reach. Veed.io lets you translate subtitles, and even add AI dubbing in a different language.

AI can also help with keeping translated content SEO friendly. AI tools like Semrush and Clearscope help optimize translated content to match local search behaviors.

Beyond the actual copy writing, AI is also valuable for streamlining the processes behind it.

AI Integrates Right Into Your Workflow

Copywriting – and marketing in general – is full of ancillary tasks. 

Many companies are using AI integrations to decongest workflows, especially with data compilation, analysis, and retrieval. Time saved is money saved, and human energy saved is more brainpower that can go to a company’s innovations and nuanced tasks.

Increasingly, all kinds of software are getting their own version of an AI integration. Google’s Gemini, Microsoft’s Copilot, project management tools like Clickup, Notion, and Asana – it’s becoming hard to find software that doesn’t have an AI feature.

Besides content generation, AI features usually offer sentence rewording, paragraph expansion, proofreading, research assistance, text-to-speech, speech-to-text, templates, and on-demand brainstorming. 

Many popular AI, like ChatGPT, offer browser extensions (WSJ, 2024). Research and collecting findings is becoming more streamlined and intuitive.

These AI tools can help general workflow, but many companies use AI for more granular strategy – like data analysis or creating copy with strict branding. When customization and security matter most, they’re choosing premium or custom AI solutions.

For example, Estée Lauder integrates AI throughout their marketing workflow with over 240 custom GPTs (OpenAI). Their system can analyze a staggering 75+ years of customer data. 

If they ask their “Fragrance Category Analyst” GPT about the top three benefits consumers seek in scented soaps, they get a rich analysis from real customer feedback. These kinds of highly-relevant insights and excerpts are pure AI copywriting gold.

Next, let’s talk practically. How do you actually use AI in the copywriting process?

How Do I Use An AI For Copywriting?

Besides asking AI to generate text, you can use AI for building out marketing strategy, doing research, outlining and brainstorming, and optimizing the copy for AI and SEO.

Copywriting AI is not a one-stop shop, even with sophisticated tools. Today’s copywriter has to decide about how and when to use AI during the writing process:

  1. Research – Exploring the business’ data and looking into competitor
  2. Strategy – Ensuring the copy they create will fit appropriately into the bigger funnel
  3. Outline – Pulling together the structure to make the flow cohesive and thorough
  4. Drafting – Putting together the copy
  5. Editing & Optimization – Adjusting for clarity, formatting, SEO, readability, and engagement.

A/B testing and distribution may also be in the copywriter’s scope, but here, we’ll discuss AI copywriting within the classic tasks.  

Research – AI Adds Speed, But Needs Fact Checking

Research is crucial but time-consuming – and copywriters are welcoming the help. A Marketing Week survey revealed 46% marketers are already using AI for market research (Marketing Week, 2024). 

A copywriter can use models like Gemini Deep Research or Perplexity to get relevant sources almost instantly. More involved models – like ChatGPT’s Deep Research – handles intensive research. 

How To Do Research With AI

Simply open up the model and type in the context of what you need to research. AI research tools provide source links, letting you verify their accuracy and relevance. 

AI saves you from guessing keywords by finding and presenting relevant information for you. If you need more or different results, just ask, and it keeps researching. Check out competitors, target audiences, and relevant sources.

In-house data is also valuable for AI copywriting research. AI can help with both data retrieval and analysis. For example, AI can process a large document of customer feedback or performance metrics to identify patterns that can guide improvements.

SEO is another great area for AI support. You can use SEO tools that utilize AI (like SEO.AI) or general models to get suggestions for keywords. 

It’s important to remember that an AI keyword suggestion isn’t necessarily an evidence-based recommendation. Using AI to analyze keywords and SEO themes from relevant top-ranking businesses is a good way to get insights for your own SEO strategy.

Human Review Can’t Be Skipped

  • Check information for relevance and accuracy. Like search engine results, being at the top doesn’t guarantee quality.
  • Make sure the sources are valid. Unfortunately, AI can hallucinate information, even including fake references and links. Always click and verify sources before trusting them.
  • Keep the research aligned with your goals. Your research, especially what you reference within copy, needs to support the specific call-to-action (CTA). Unrelated backlinks clutter the reader’s focus and aren’t helpful for SEO.
  • If you’re doing research in company data, be mindful of data protection. Don’t put sensitive information out on ChatGPT.

Human review takes time, but it’s still faster than manual research and much better than using AI without fact-checking. Poor research harms audience trust and weakens your content. Hallucinated information also hurts credibility with search engines.

Strategy – AI Helps Find Funnel Leaks And Fixes

A Salesforce survey found that 71% of marketers use AI to spark creative ideas (Salesforce, 2025).

It’s one of AI’s most popular uses when doing AI copywriting. Copywriters know writer’s block burns time – and that they don’t want to sacrifice great strategy just to come up with words. Great copy won’t fix a broken sales funnel, and a strong funnel still can fail with weak copy. 

Stepping back to clarify goals helps prevent funnel leaks. 

Extra brainstorming helps prevent missing copy elements.

One chat with an AI model about the copy you’re writing can provide significant clarity – especially if you’re feeling lost in the details.

Here’s How You Can Use AI For Help With Copy Strategy

  • Define key metrics. What analytics should be tracked – and what benchmarks should you aim for? AI helps clarify performance indicators and navigate complicated analytics dashboards. 
  • Clarify copy objectives. What’s the CTA? Does the copy’s “ask” align with where it is in the funnel and the value you’re offering? Using an AI chatbot as a sounding board can help you write a more compelling CTA.
  • Talk through past campaigns for insights. Have AI ask you questions about a launch, campaign, or particular piece of copy. Whether it was a success or a flop, AI can help tease out the elements that you want to replicate – or avoid. 

It’s as easy as opening up your preferred AI platform (Claude, ChatGPT, Perplexity, etc.) and typing out your thoughts, asking for feedback. Using AI as a second set of eyes works both while planning the copy and as a review after it’s written.

Outline – AI Discovers The Gaps And Ideal Flow

A strong outline reduces rework in copywriting – and 41% of marketers are using AI support for it (HubSpot 2024). 

Here at Check Copywriting, getting AI support outlining copy is one of our favorite uses. We like to create the outline first, then using AI for organization and competitor gap analysis, but AI can also generate an outline from scratch.

Here’s How You Can Use AI For Outlining Copy

  • Get suggestions on points relevant to what you want to cover. For example, if you’re drawing a blank on sections for a web page or blog, ask AI for input.
  • Ask about points that competitors/industry leaders talk about. This helps you see what your audience expects from your copy.
  • Ask about points that competitors/industry leaders DON’T talk about. Gap analysis shows you details that will make your copy and content competitive.
  • Get recommendations on organization. Ask about the flow of your outline. How can it be arranged so reader interest is honored, and the flow is smooth?
  • Get suggestions on where to add certain elements. Have AI tag parts of your outline that would be strengthened with a testimonial, case study, statistic, relevant quote, or image.

If you prefer handling your headings and title during the outlining process, AI can give you suggestions that integrate keywords you’d like to use.

Content Creation – AI Expedites Drafting

Salesforce also found that 76% of marketers use AI to draft copy (Salesforce, 2025).

Copywriters draft differently, so AI use can vary a great deal. At Check Copywriting, we enjoy using a custom GPT that analyzes the outline and asks the copywriter relevant questions, organizing and cleaning up their voice dictation into a finished draft. We also use AI on-demand for editing individual sentences and paragraphs.

Here Are Ways Writers Use AI During The Content Drafting Process

  • Generate content from scratch. While this doesn’t produce particularly original or on-brand writing, it’s a great start for writers that want an organized rough draft to edit.
  • Generate content based on research, notes, and/or an outline. This creates a more targeted draft but still needs editing for brand voice.
  • Use an AI copywriting tool. Software like Jasper, Anyword, Writer, and Copy.ai are designed for copy and content, unlike general AI models like ChatGPT.
  • Use AI on-demand while you type. Manual copywriting is faster with AI when you can generate ideas and ask questions during the writing process.
  • Have AI clean up voice-dictated copy. Many copywriters dictate copy for speed and keeping text sounding conversational. There’s no need to manually proofread when AI easily fixes errors.
  • Give AI testimonials and case studies to integrate. This saves you from manually working them into the copy.
  • Create content variations. AI easily creates multiple versions of copy for testing. You can start with all AI-generated copy, or test AI-generated copy against human written copy.
  • Distill and recycle copy. AI lets you quickly create meta data, summaries, newsletters, and more from other existing pieces of copy.

AI slightly changes how drafting is done – and it’s the same case with copyediting.

Editing and Optimization – AI Offers Robust, Custom Suggestions

Machine learning substantially speeds up text review and proofreading (Hurix, 2025). Upload your draft to AI, and after a few seconds of “reading,” AI gives you instant, tailored feedback.

Copy that was initially AI-generated also avoids common human errors like grammar, spelling, and punctuation. 

However, editing isn’t just about fixing mistakes – copy needs to persuade. Copyediting is about enhancing clarity, consistency, and impact.

Here’s How You Use AI To Edit Copy

  • Have AI assign headings and structure. AI can assign H1, H2, and H3 tags based on your content structure. This helps with readability for both humans and algorithms.
  • Have AI assign emphasis and styling. AI can bold for key points, italicize for emphasis. It can also restructure dense paragraphs into easy-to-read lists or bullets. This helps with reading skimmability, keeping visitors on the page longer.
  • Ask AI to audit your piece for brand voice consistency. Does the copy match your brand’s tone? Is the style and reading level appropriate? AI can check for consistency and suggest refinements. Results are even better if you can specify or attach a brand voice guide.
  • Ask AI to give you feedback on clarity and readability. AI can note complex sentences, wordiness, jargon, and clunky transitions. More helpfully, it can suggest specific improvements.
  • Ask AI to give you feedback on the CTA. Does your call to action stand out? Does the “ask” align with the type of copy it’s in? AI can evaluate clarity, persuasiveness, and placement to better optimize for conversions.
  • Ask AI for an SEO audit against your keywords. AI can highlight the density and suggest additional places to integrate it. 

Editing manually can be tedious, and outsourcing is often expensive and slow. At the very least, AI editing is a valuable first pass.

Unfortunately, while there’s decent generators for many types of copy, we don’t yet have foolproof AI editing. 

Several Critical Issues Aren’t Always Caught By AI

  • Plagiarism. Use a plagiarism checking tool. Not only is pure AI copywriting text prone to plagiarism – AI’s not good at checking for plagiarism. Unless an AI is specifically trained on checking for plagiarism, don’t risk it. A tool like Quetext or Scribbr, can help instead. Avoiding plagiarism is worth the effort – it can hurt SEO.
  • Overediting. Don’t ask AI to apply edits directly to a large body of work. A copywriter’s editing skills add brand voice and nuance to copy. Having an AI edit copy often strips these elements, requiring another round of edits to restore them. Instead, attach your copy to your prompt and request editing suggestions provided separately, which you can implement or ignore.
  • Hallucinations. If you have any research or links within your copy, verify the source. If you have testimonials or reviews in your copy, make sure they are not fictional. Erroneous or hallucinated sources are a legal liability and hurt your brand reputation.

Copy creation needs human review throughout the whole copywriting process, from outlining to finalizing. Ethical copywriting is good for customers (they get better content that’s not bootlegged) and for the company (they avoid legal issues).

But how does the modern copywriter allocate their efforts? What should they delegate to AI, and what should be done manually?

Next, we’ll cover where AI excels – and where human skill is better.

Will AI Replace Copywriting?

Yes, in a sense – instead of replacing copywriting, AI is replacing some copywriters with those who know when to use AI and when to rely on human expertise. Copywriting is just one part of marketing, and copywriters who know how to handle AI-resistant tasks aren’t getting replaced. 

“[AI] doesn’t have a human experience. It doesn’t have a unique point of view. Anything that AI generates that tries to offer that is based on actual human work.” – Meredith Stiehm,

President of the Writers Guild of America West (Time100 AI, 2024)

The promise of AI copywriting is compelling: faster, easier, cheaper.

Companies, not surprisingly, report that tasks with AI are significantly quicker, which saves money in itself. A survey found that workers save an average of an hour daily (Adeco Group, 2024).

Getting over 12% of your workday back is great. But is faster necessarily making outputs better?

AI Copywriting Performance Reality Check

Studies on AI vs. human performance, specifically with copywriting ROI, are limited. While doing research for this guide, we found that most case studies around AI in marketing involved different levels of workflow integration. They often measured productivity perception and time saved, rather than actual conversions or progress indicators.

However, in one notable study, Neil Patel’s team analysed over 700 articles over the course of a year – half AI-written, half human-written (X, 2024). 

The outcome was striking. The human-written content didn’t just perform better; it drove 5.54 times more traffic. 

This doesn’t mean AI is ineffective, but it does suggest we need to be strategic about how we use it. Copy that’s purely AI written is convenient, but doesn’t reliably deliver results.

In an AI ad study from EastsideCo, human writing again took the lead. Even though the team’s ads cost more than the AI ads, they had a lower cost-per-conversion (40% lower) because of how well they converted (108% higher than the AI ads) (EastsideCo, 2024). The AI ad cost less upfront, but the human-written ads were cheaper in the long run.

While AI can write faster, performance metrics are telling a more complex story. 

Neil Patel concluded the study above: “Using it for things like ideation or research can save you a lot of time and provide value.” 

Making smart choices about when to use AI – and when to rely on human expertise – can dramatically improve your copywriting results. 

When To Use AI Vs. When To Use Human Expertise

Research and Planning

AI shines at gathering and analyzing large amounts of data. It’s perfect for initial research and identifying trends. 

However, when it comes to research and planning, human expertise is needed for:

  • Validating information accuracy and relevance
  • Understanding market context
  • Setting meaningful objectives
  • Creating audience segments (unless you have substantial customer data for AI analysis)

Even with a substantial amount of context and data, AI lacks the human experience needed for most niche marketing decisions and planning.

Content Creation

AI is great for generating text – but it struggles with originality and specific context, which are critical for making copy work.

When it comes to copy/content creation, humans are needed for:

  • Integrating niche audience knowledge
  • Assessing plagiarism (with a plagiarism checker)
  • Verifying social proof elements (e.g., testimonials, case studies, ratings) aren’t fictional
  • Understanding breaking news and trends within a niche
  • Integrating original company data (i.e., testimonials, case studies, company expert insights)
  • Brand voice quality control
  • Deciding what CTA align with your marketing funnel

It’s worth noting that there are specialty AI tools built to handle these kinds of tasks. However, they require extensive training and quality control – by humans. They’re often costly, and mainly used by large enterprises.

Optimization and Analysis

Technical tasks are where AI shows the most value. From analysing metrics to pulling insights, AI outperforms humans – but only if the data is accurate.

With technical aspect of copywriting and marketing, humans are needed when:

  • Choosing keywords – AI suggestions are not always up-to-date or evidence based
  • Making strategic SEO decisions
  • Picking the metrics for AI to analyse
  • Locating/putting together the data for AI to analyse (i.e., spreadsheets, documents)
  • Ensuring metrics are accurate and properly collected (prior to AI analysis)
  • Ensuring AI analyses align with marketing goals
  • Making decisions based on AI insights and analyses

There’s lots of judgement calls in marketing – and many have to be made before AI can help. Using AI requires humans choosing how to apply it, providing missing details, and making sense of its outputs.

We’ve talked about how AI is being used for AI copywriting – and how not to use it. 

Let’s discuss, more practically, how you can get started using AI.

How Do I Use AI In My Copywriting Business?

Start by defining what you need AI for – begin with small tasks, gather data, refine your process, and adjust as needed to improve.

“Because of AI, we’re starting to trade our responsibility for mundane tasks for more strategic, directorial duties.” — Daniel Parscale, former Digital Marketing Strategist, CD Baby (Unbounce)

Trying out AI-enhanced copywriting can be simple and low-impact. 

You’re in the driver’s seat. You can integrate AI as little or as much as you’d like. You can add AI to your standard operating procedures (SOPs), or try them out for a time.

Here’s how to begin integrating AI effectively into your marketing process.

Clarify Your Support Needs

What routine tasks bottleneck your time?

AI has endless uses. Start by identifying routine tasks you want to speed up. 

Using AI for brainstorming is often considered the gateway. If you’re extremely new to AI, try opening ChatGPT and asking for some ideas around a project you have. Maybe you need help coming up with additional points for a blog, or you’d like ideas on extra things you can do to optimize a web page.

Playing around with a general model is a great way to get a feel for its capabilities. 

To find tasks AI can improve, review your SOPs. Better yet – ask AI how it can help. Type out a prompt talking about your routines, then ask where AI could make things easier or faster.

Don’t forget to ask follow up questions as you chat with it.

Start With Small Steps & With What You Have

71.7% of marketers say their biggest barrier to using AI is lack of understanding. (InfluencerMarketingHub, 2024).

Good news: AI is one of the easiest technologies to learn. The long language models – the AI we know today, like ChatGPT and Claude – are made to be user friendly.

There’s an overwhelming number of AI copywriting tools – but many businesses already have AI tools at their disposal. The software you’re already using often has AI features.

Before investing in new solutions:

  • Check your existing marketing platforms for AI features (i.e., email platform, website platform, customer relationship management system). These AI features support tasks commonly done within the platform.
  • Look for built-in AI tools in your current software (i.e., Google Workspace, Microsoft Office, project management software). 
  • Try a basic subscription to a popular AI platform, like ChatGPT or Claude. This interface will be like a back-and-forth direct message conversation. You can start talking about whatever task you’d like.

Choose a task for AI, then experiment. Don’t try delegating any strategy, judgment, or expertise task – instead, try an analysis or idea generation task. 

Popular, easy AI-assisted tasks include brainstorming, copy feedback, and problem-solving. 

If you’re not sure if an AI feature or model can do the task you have in mind – simply ask it.

Build Your Data Foundation

One of the best ways to leverage AI is analyzing data to guide decisions. But good AI output requires quality input. 

Interested in seeing patterns in your copy? If you haven’t already, start collecting:

  • Customer reviews and testimonials
  • Performance metrics like click-through rates
  • Email engagement statistics
  • Sales conversion data
  • Customer feedback and surveys

Put them in their own respective spreadsheet or document. This makes it easy to share with AI.

When troubleshooting or identifying successes to repeat, share your goals and relevant data with a basic LLM (i.e., ChatGPT, Claude, Perplexity). If you’re not sure what to share…just ask the AI what metrics it needs.

And remember – don’t share sensitive information!

Develop Your Process

After using AI for different things, you’ll learn which tasks it helps with most. Talking to peers about their AI use can help you find useful applications as well.

 Create a clear workflow that combines AI and human expertise:

  • Define your content goals
  • Identify which tasks AI will handle
  • Establish review and editing procedures
  • Set up performance tracking

Guiding AI is very similar to directing an employee. Clarifying your goal and giving regular feedback help them do their job better.

At Check Copywriting, one of the core ways we hone our AI copywriting processes is through time tracking. 

First, we time the task without AI. Then, we track it with AI across multiple projects, measuring each step (research, outlining, writing, editing). If AI speeds up one part, like writing, but slows another, like editing, it shows where AI helps and where it doesn’t.

If you’re unsure how to find insights, upload the data to an AI model and ask for patterns and goal feedback. It’s as simple as telling ChatGPT you’d like help finding insights, then uploading a spreadsheet of tracked time.

Measure and Adjust

When you track results, you have powerful insights for process improvement.

  • Compare AI-assisted content performance against your benchmarks
  • Monitor time saved
  • Analyze conversion rates and engagement metrics
  • Adjust your approach based on what’s working

Take notes during the process – and have AI analyse them. You’ll find patterns on what’s working well, what isn’t, and gaps that still need to be filled. 

Ask AI for suggestions on process tweaks based on your goals. AI saves you mental effort by handling troubleshooting for you.

How Do You Make Money With AI Copywriting? 

By mastering AI management and copywriting yourself. Then AI can be your ultimate employee.

Copywriting has quickly evolved into AI copywriting. 

Businesses once chose between an in-house writer, a contractor, or doing it themselves… but AI has leveled the playing field. Small companies can now access sophisticated copywriting tools that were once available only to major corporations.

But this democratization comes with an important caveat. Faster writing doesn’t automatically mean better results. 

Time-saved statistics are telling us that AI speeds up content creation are promising, but they’re not the whole story. What truly matters are the conversions, traffic, and customer engagement that content generates.

AI has given us copywriters powerful new tools, but success depends on how we use them. The most effective approach combines:

  • AI’s efficiency in data analysis and content generation
  • Human expertise in marketing strategy and judgement calls
  • Deep understanding of specific industries
  • Focus on measurable outcomes

There’s a notable gap in the current conversation about AI copywriting. 

While we see plenty of theoretical discussions about “how AI can be used,” we need more real-world case studies showing successful implementation. The industry needs fewer 10,000-foot views and more practical examples of AI integration into daily operations.

The future of copywriting doesn’t make you pick between AI or human expertise – it’s about delegating tasks to the right players.

To stay competitive, today’s copywriters focus more on strategy and niche expertise than past generations. AI helps make these skills more accessible.

Who Can Help Me Optimize My Website Copy So AI Tools Understand What I Offer? 

If you want your services to show up when people ask ChatGPT or Google AI for help, I can help you structure and write your site to do just that. Book a consult here.