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Is AI Writing Good Enough to Sell? (My Results After 6 Months)

By Dan7 min read

Affiliate Disclosure: This post contains affiliate links. If you sign up for MadeThis through my link, I earn a commission at no extra cost to you. I only recommend products I personally use and believe in.

Is AI Writing Good Enough to Sell? (My Results After 6 Months)

This is the question I had before I started. I was using AI to help me write content and create digital products, and I genuinely didn't know if people would pay for something that AI helped produce.

Six months later, I have real numbers. Here's what I found out.

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What I Was Selling

Over six months, I published 11 digital products on my MadeThis store:

  • 3 AI prompt packs (collections of curated, tested prompts for content creators)
  • 2 content workflow guides (step-by-step systems for using AI to run a content business)
  • 4 blog post template collections (structured outlines and formats for different post types)
  • 2 short "starter guides" for beginners (how to start an online business using AI tools)

All of them were created with significant AI assistance. Some were primarily AI-generated with heavy editing. Some were mostly me, with AI handling first drafts of certain sections.

The price range: $9 to $47. Most products sat at $17–$27.

The Results

Total products sold: 247 units across 11 products in 6 months

Total revenue: $4,830

Best-selling product: A prompt pack for content creators — 89 units at $27 = $2,403. I'll come back to why this one did so well.

Worst performer: A $9 "starter guide" that I rushed. It sold 8 units total. Quality and effort showed through, even at a low price point.

Average unit economics: ~$19.55 per unit, which means the average product price across all sales was slightly below my midpoint.

What I Learned About "Good Enough to Sell"

The short answer: yes, AI writing is good enough to sell — but only if you've done the editing, structuring, and quality work on top of it.

The products that sold best were the ones where:

  1. The core insight was mine (from experience, not generated)
  2. AI handled the drafting and structural work
  3. I edited heavily for clarity, voice, and accuracy
  4. The finished product was genuinely useful to the buyer

The products that sold worst were the ones where I let AI do too much of the thinking — not just the writing. When the strategy is generic and the content is predictable, buyers feel it. Even if they can't articulate "this was AI-written," they sense that it doesn't offer anything they couldn't have figured out themselves.

The Prompt Pack Success Story

My best-selling product — the AI prompt pack — worked for a specific reason: it contained prompts that I had tested and refined over months of real use. The quality and specificity of the prompts was the product. They weren't theoretical. They were the actual prompts I used to produce content that ranked.

That's proprietary experience. That's what people paid for. The AI didn't provide that — I did. The AI helped me document and format it quickly.

This is the key insight: AI can scale your output, but the value still has to come from you. Your experience, your tested process, your specific results. AI is a production tool, not a value-creation tool.

Do Buyers Know or Care?

Honestly? Most buyers don't ask. In 247 sales, I had exactly two people ask if AI was involved in creating the products. Both were asking out of curiosity, not suspicion. Both were satisfied with honest answers.

What buyers care about: does this help me accomplish my goal? Is it clearly written? Is it worth the price? Does it feel like someone who actually does this made it?

The "made by AI" question is the wrong question. The right question is: "Is this genuinely useful?"

What Changes When You Add AI

Without AI tools, I'd have created maybe 3–4 products in 6 months instead of 11. The creation speed genuinely multiplied.

That matters for two reasons:

  1. Volume diversification: More products means more surface area. Not every product is a hit. Having 11 products means some underperform while others carry the revenue.
  2. Testing cycles: I can test more pricing strategies, more formats, more topics. AI lets me produce product experiments faster, which accelerates learning.

The Part Nobody Talks About: Distribution

Here's the thing most people miss: it doesn't matter how good your AI-assisted product is if nobody can find it.

My distribution strategy:

  • Blog posts (SEO-driven) that naturally mention and link to my products
  • Pinterest traffic driving readers to those blog posts
  • Email list built from blog readers

All of my 247 sales came through organic traffic, not paid ads. The content brought the audience; the products captured the revenue.

My store is on MadeThis, which handles product hosting, checkout, and delivery. That part is frictionless. The work is in building the traffic.

If you're building the same model, my MadeThis review covers how I set up the store side of the business.

The Real Answer

AI writing is good enough to sell — but only if you're using AI as a production lever, not a thinking replacement.

Bring the insight. Bring the experience. Bring the editorial judgment. Let AI handle the drafting, the structuring, the first passes. Then edit until it's genuinely excellent.

$4,830 in six months from 11 products, mostly created with AI assistance. I'd call that good enough to sell.

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