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How to Use AI to Write Website Copy That Actually Converts

AI can write fast. But fast copy isn't the same as converting copy. Here's the framework we use to get genuinely useful output from AI tools.

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The most common complaint we hear about AI-generated website copy is that it sounds like everyone else's. Not wrong, exactly — just featureless. No real specificity, no genuine voice, no reason for a visitor to feel like this company understands them specifically. The copy is grammatically fine and entirely forgettable.

Here's the thing: that's not the AI's fault. It's an input problem. AI copy tools are pattern-completing machines. What they produce is a weighted average of the content they've been trained on — which means if your input is generic, your output will be too. The framework that fixes this is about what you put in, not which model you're using.

Why Most AI Copy Is Flat

Ask any AI tool to "write a homepage for a marketing agency" without additional context and you'll get something that could belong to any of ten thousand marketing agencies. The AI doesn't know your clients, your specific positioning, the exact problems you solve better than anyone else, or what makes a visitor to your site different from someone landing on your competitor's page.

Converting copy is specific copy. It names real problems in the exact language your customers use. It references the specific outcomes you've produced. It has a point of view. Generic input — "we are a results-driven agency that helps businesses grow" — will produce generic output no matter how capable the model is.

The quality of your prompt is a ceiling on the quality of your output. No AI can invent specificity you haven't given it.

The Input Determines the Output

Before you write a single prompt, gather your raw material. This is the work that makes AI copy actually useful:

  • Customer reviews and testimonials: Copy the exact language your customers use to describe the problem they had and the outcome they got. These are your most valuable raw materials — they're the words your prospects use when they describe their own situation.
  • Sales call transcripts or notes: What questions do prospects ask? What objections come up repeatedly? What outcome do they keep describing as the thing they really want?
  • Competitor gap analysis: What do your competitors not say? What claims do they make that you can counter with specifics? What problem do you solve that they don't acknowledge?
  • Your best client outcomes: Specific, measurable results. Not "we helped them grow" — "we helped them reduce cost-per-lead by 40% in the first 90 days."

This research takes an hour or two. It is the single biggest leverage point in the whole process. The AI's job is to arrange and articulate the material you've gathered. Your job is to gather material worth arranging.

Hero Section Copy

Your hero section — the headline, subheadline, and primary CTA above the fold — does one job: make the right visitor feel immediately understood and give them a reason to keep reading. It should answer, in two or three lines: what this is, who it's for, and what changes for the person who hires you.

A prompt structure that produces useful hero copy:

Example prompt: "I'm writing a homepage for a web design studio that specialises in sites for professional service firms. Our clients typically come to us after a DIY website that isn't converting. The main outcome we produce is a website that positions them as credibly premium. Our best testimonial says: 'Within two months of the new site, we started closing larger clients with less friction.' Write three hero headline + subheadline combinations. The tone is confident and direct, not hype-y. Avoid phrases like 'results-driven', 'game-changing', or 'take your business to the next level'."

Notice what that prompt contains: a specific niche, a defined customer journey, a concrete outcome, a real testimonial as evidence, a tone reference, and explicit exclusions. That specificity is what separates useful output from forgettable output.

Services and Features

Services pages fail most often because they describe what you do instead of what the client gets. "We offer brand strategy, web design, and copywriting" is a list of activities. What converts is the transformation: what does the client's world look like after you've done those things?

For each service, give the AI: the typical client's situation before, the specific deliverables, the outcome after, and one concrete example. Ask it to write service descriptions that lead with the outcome and support with the deliverable — not the other way around. Review, edit, cut anything that sounds like it could apply to anyone.

Social Proof and Testimonials

Raw testimonials are rarely maximally effective. They tend to be vague ("Great to work with! Highly recommend"), focus on process rather than outcome, or simply not address the specific concern the reader has at that moment on your site.

AI can help synthesise and position testimonials more strategically. Feed it five to ten of your best client reviews and ask it to: identify the recurring outcomes mentioned, the recurring concerns that were resolved, and the specific language that appears most often. That analysis tells you what your social proof is actually communicating — and where the gaps are.

You can also ask AI to suggest where on the page each testimonial would be most persuasive. A testimonial about speed of delivery is most effective near the pricing section. A testimonial about communication is most effective near the contact CTA. That's a placement question AI handles well when given the context.

Calls to Action

CTA language is one of the highest-leverage, most under-optimised elements on most websites. "Get in touch" and "Contact us" are the defaults because they require no thought. They're also the least motivating options.

Good CTA language names the specific next step and hints at what happens after it. "Book a 30-minute strategy call" is better than "Get in touch." "See how we'd approach your project" is better than "Learn more." AI can rapidly generate twenty CTA variants for a given context — run them past your team and test the ones that feel most aligned with the specific decision the visitor is being asked to make.

Prompt for CTA variants: "I need 10 call-to-action options for a web design agency's homepage button. The visitor is a small business owner who's considering a new website but is nervous about cost and the process being complicated. The CTA leads to a brief discovery form. Avoid anything that sounds salesy or creates pressure."

Editing and Making It Yours

Every AI draft requires a human edit pass. This isn't optional and it isn't a sign that the AI failed. The edit pass is where you add the specificity that makes the copy yours: swap out generic phrases for your actual language, add a detail that only someone who does your work would know, cut anything that sounds like it came from a template.

Read the copy aloud. If you'd never say it in a conversation, it shouldn't be on your website. AI defaults to a slightly formal register that sounds fine written but often feels stilted when spoken. The edit pass should close that gap.

  • Replace any claim that could appear on a competitor's site with something that couldn't
  • Add one specific detail per section — a number, a client type, a named outcome
  • Cut every instance of "innovative", "passionate", "cutting-edge", "results-driven"
  • Check every headline against the question: "Would I stop scrolling for this?"

Used correctly, AI dramatically accelerates the copywriting process without sacrificing quality. The investment is in the preparation — the customer research, the competitor analysis, the outcome mapping — that lets you brief the AI with enough specificity to produce something genuinely useful. Skip that and you'll get fast copy. Do it and you'll get converting copy. The difference is about twenty minutes of thinking before you open the AI tool.