Five ways to use AI for copywriting
Advertising copy remains an important digital marketing tool. AI can help writers develop relevant drafts, adapt messages, and explore more ideas. Here are five ways to use it when creating copy intended to attract the right people and support conversions.
1. Improve search relevance with keyword-informed copy
AI can help connect content topics with audience needs and draft headline options. However, keyword insertion in Google Ads is a separate mechanism: it inserts an ad-group keyword into a predefined template. It does not generate arbitrary copy.
For example, an editor can ask AI for different ways to present “running shoes,” then check accuracy, clarity, and alignment with the product range. Separately configured keyword insertion works with the keyword, not necessarily the person’s exact search query.
2. Draft variations for different formats
One offer may need an ad headline, a short description, and a landing page. AI can draft each version, while an editor checks that the meaning and important conditions remain intact. Product photography, lifestyle imagery, and brand elements can be combined with copy to communicate the key message.
3. Improve calls to action
AI can suggest several calls to action. Choose one that matches the reader’s readiness and the actual next step on the website. For example:
- “Buy now”
- “Sign up”
- “Request a quote”
You can also uselead formsas a relevant response to a specific customer need.
4. Build a testing culture
AI makes it easier to draft headline, description, and ad variations. In campaigns such asPerformance Max, supplying more suitable image and text assets gives the system more combinations to explore; this is not the same as a controlled A/B experiment. Compare the arguments behind the wording as well as the wording itself. Record the hypothesis each version tests so the results can lead to a meaningful conclusion.
5. Combine creativity with AI
Although AI offers speed and scale,human creativityremains essential. Your understanding of the product and customer gives direction to AI-assisted drafting and optimization. Tip: do not rely on generation alone. Add specific insights and useful detail that distinguish your brand.
A practical workflow: from brief to finished copy
The quality of AI-assisted work depends on the editor’s input and review. “Write an ad” is not enough. Start with the product, customer need, substantiated benefits, and offer limitations.
- Collect the facts. List verifiable features, prices, and conditions. State what the model must not invent: testimonials, guarantees, discounts, certifications, or delivery timelines.
- Describe the audience and situation. Who will read the copy, what problem are they solving, and what do they already know? Someone comparing suppliers needs different arguments from someone discovering a new category.
- Ask for different hypotheses. Instead of ten nearly identical headlines, request distinct approaches based on the customer’s problem, a specific feature, or ease of choosing. Every version should use verified facts.
- Edit the draft. Remove vague adjectives, repetition, and claims you cannot substantiate. Check language, brand voice, and alignment with the landing page.
- Check the format. Confirm headline lengths, format requirements, and policies against the platform’s current interface. Asking AI to respect a limit is not enough: count and verify the result.
- Test and record the learning. Save the hypothesis, copy version, and evaluation metric. Choose based on meaningful business actions, not only the editor’s preference.
An example brief for an AI copywriter
The following is an illustrative brief, not a client result. Adapt it to your product by replacing example information with verified facts.
Develop three distinct copy concepts for a consultation booking page. The audience is small online-store owners. The goal is to explain that the consultation covers advertising goals and performance measurement. Do not promise a particular sales increase. Do not invent client experience, prices, or guarantees. For each concept, suggest a headline, a short description, and a next action. Separately list any facts that need clarification before publication.
Then ask: “Identify repetition, unsupported promises, and places where the reader needs more detail.” This can help the editor, but a person must perform the final check.
How to evaluate ad copy after launch
A headline that generates more clicks may attract less relevant visitors. Compare CTR with conversions, lead quality, and sales. Record changes to budget, audience, offer, and landing page, since they can affect results alongside the copy.
If conversions are counted incorrectly, creative testing will not provide a reliable answer. Before evaluating results, review the principles of PPC data quality. Connecting creative, the landing page, and measurement is central to a systematic approach to Google Ads.
How to use AI for SEO content
For an article or service page, begin with the reader’s need: what answer should they receive, and what can they do afterward? AI can help outline the piece, suggest questions, and review the logic. Add real examples, your own observations, and verified sources.
Google recommends evaluating usefulness and quality regardless of how content is created. Producing pages at scale without adding value, primarily to manipulate rankings, may violate spam policies. Check facts, title-to-content alignment, and whether the page provides a complete answer before publishing.
After publication, you can assess search visibility using Search Console Insights, and plan copy improvements alongside site structure and SEO work.
Conclusion
AI does not replace a copywriter, but can expand their capabilities. Used carefully, it can help you:
- improve relevance;
- explore more testable variations;
- adapt calls to action;
- prepare campaigns faster.
At Pro Resultat, we combine AI assistance with editorial review and analysis. Contact us to discuss how to improve your advertising copy.
Frequently asked questions about AI copywriting
Can I publish AI output without editing it?
We recommend reviewing every asset. A model may invent a feature, omit an important condition, or produce a persuasive but unsupported claim. Pay particular attention to numbers, quotes, names, and links.
Is keyword insertion generative AI?
No. It is a separate Google Ads feature that inserts an ad-group keyword into a predefined template. It does not create arbitrary copy or necessarily insert the user’s exact search query.
How many copy variations should I prepare?
Start with a few meaningfully different hypotheses your team can evaluate. Many paraphrases of one argument are usually less useful than a clear comparison of different needs and offers.
