NERDY HACKS · MARKETING

Turn 50 customer reviews into 14 ad angles with Claude

One marketer let Claude sort happy customers' words into themes and ad angles, which work just as well as social posts.

TOOL USED

Claude (plus Apify to collect the reviews)

SPOTTED ON

@Mo_ali · Jul 15, 2026

THEIR CLAIM

Took about 25 minutes

TL;DR

Can AI turn customer reviews into marketing copy?

Yes. Marketer Mo RezaAli (@Mo_ali) used Claude to turn 50 product reviews into 14 ad angles in about 25 minutes, and picked 3 ads to run with. Mo kept only 4- and 5-star reviews, had Claude cut the vague ones and grouped the rest by theme before writing a single hook. The first try flopped because the input was full of "Great product" filler. If you post reviews in ads or on social media, the FTC treats them as testimonials, so use real words, keep the meaning and ask the customer first. ---

What they did

Mo wanted the words happy customers use when they explain why they bought. So Mo pulled a product's reviews into a spreadsheet with Apify, a web-scraping tool, and kept only the 4- and 5-star ones.

Claude then cleared out the empty praise and kept reviews that named a specific result, use or feeling. About half the pile went. The rest got grouped into four themes: problems solved, benefits noticed, objections removed and reasons people chose the product.

For each theme, Claude drafted three ad hooks in the customers' own language plus one landing-page headline. Your happiest customers have already written your marketing; Mo just let Claude do the sorting.

How it went

By Mo's count, 50 reviews became 14 ad angles in about 25 minutes, and Mo picked 3 ads to try out (source).

The first attempt was a miss. Claude lumped almost everything into one "Great product" bucket, and Mo traced it to noisy input rather than the tool. Cleaning the reviews first made the biggest difference, by Mo's account.

Mo hasn't shared how the ads performed. Mo does add a caution: "AI can find opportunities. It can't tell you which angle will win."

Worth knowing

  • A review in an ad becomes a testimonial. The FTC says consumer reviews featured in your advertising or marketing count as testimonials, so its rules on testimonials apply (FTC Q&A).
  • Never invent or reword in a way that changes the meaning. The FTC's rule, in force since October 21, 2024, bans fake reviews and testimonials, including AI-generated ones, and businesses that knowingly break it can face civil penalties (FTC, 16 CFR Part 465). If AI tidies a quote, put the customer's real words back.
  • Ask before you quote. The FTC confirms you can ask customers to let you quote them in ads (Endorsement Guides Q&A). Asking first also saves an awkward message later.
  • Watch for "best case" results. A review that promises a specific result ("lost 10 pounds", "doubled my bookings") reads as what everyone can expect. Either have proof it's typical or say what results people generally get (Endorsement Guides Q&A, 16 CFR Part 255).
  • Cherry-picking has limits. Using only glowing reviews in marketing is allowed, but the FTC warns that non-representative reviews can still mislead (FTC Q&A).
  • Strip personal details first. Remove surnames, emails, phone numbers and order numbers before pasting reviews into a chatbot. Claude and ChatGPT both let you choose whether your chats help train their models (Anthropic, OpenAI).

Paying for Claude? See cheaper Claude alternatives.

Try it yourself

Paste this into Claude or ChatGPT (both have free plans), then paste 10 to 50 real reviews underneath. Remove names and contact details first.

I run a small business. Below are real customer reviews.

1. Ignore reviews that only say something vague like "great service"
   or "fast delivery". Keep ones that mention a specific result,
   use, problem or feeling.
2. Group the reviews you kept into themes, such as problems solved,
   benefits noticed, worries that went away, and why people chose us.
3. For each theme, write 3 short social post hooks and 1 caption
   (under 40 words) using the customers' own wording.
4. For each hook, show the exact review line it came from,
   copied word for word.

Rules: never invent, merge or change a customer's words. Don't add
claims that aren't in the reviews. No customer names.

Reviews:
[paste reviews here]

More people who did this

  • @Mike_Stelzner (Michael A. Stelzner, founder of Social Media Examiner): had Claude study the Social Media Examiner team's video ads, then cut a four-minute testimonial into a 9:16 vertical video ad, using ChatGPT for the end card and Gemini for the music. Stelzner puts it at about 90 minutes. Oct 15, 2026.
  • @lkr (Laura Roeder, founder of Paperbell): set up a /testimonial command in Claude Code that files screenshots of nice ad comments into the right Google Drive folder, named after the person, ready to use as testimonials. Feb 13, 2026.

Original post

See @Mo_ali's original post on X → (Jul 15, 2026)

Filed under Marketing & Email hacks · Online Sellers · Restaurants & Cafés

FAQ

Can I use AI to turn customer reviews into social media posts?

Yes. Paste real reviews into a chatbot like Claude or ChatGPT and ask it to pick out themes and draft captions or hooks using the customers' exact words. Check every quote against the original before posting. The FTC bans fake or altered testimonials, so AI should format real reviews, never write new ones.

Do I need permission to share a customer's review on social media?

Asking is the safe move, especially if you use their name or photo. The FTC confirms businesses can ask customers to let them quote their comments in ads. A short "Can we share your review, word for word?" message takes a minute and keeps goodwill.

Is it legal to use AI to write reviews for my business?

No. The FTC's rule on consumer reviews and testimonials, in force since October 21, 2024, bans fake reviews and testimonials, including AI-generated ones that pretend to come from real customers. Businesses that knowingly break it can face civil penalties.

Can I post only my best reviews in ads?

You can feature positive reviews, but the FTC warns that non-representative reviews can be misleading. If a review claims a specific result, you need proof it's typical or a clear note on what results customers generally get.

Which AI tool is best for turning reviews into marketing copy?

Any capable chatbot works. Mo RezaAli used Claude, and Claude and ChatGPT both offer free plans. What matters most is the input: remove vague one-word reviews before asking for hooks, or the output turns generic.

How many reviews do I need?

Ten good reviews are enough to find a few themes. Mo started with 50, cut about half as too vague, and still got 14 ad angles.

Sources

  1. FTC: The Consumer Reviews and Testimonials Rule: Questions and Answers — rule in effect October 21, 2024; reviews featured in marketing become testimonials; non-representative reviews can mislead.
  2. FTC: Final rule banning fake reviews and testimonials (Aug 14, 2024) — ban covers AI-generated fake reviews; civil penalties for knowing violators.
  3. eCFR: 16 CFR Part 465, Use of Consumer Reviews and Testimonials — the rule text.
  4. FTC: Endorsement Guides: What People Are Asking — asking customers to quote them in ads; exceptional-results endorsements.
  5. eCFR: 16 CFR Part 255, Endorsement Guides — the Guides' text.
  6. Anthropic Privacy Center: Is my data used for model training? — Claude's training settings.
  7. OpenAI Help: Data controls in ChatGPT — turning off "Improve the model for everyone".
  8. Claude pricing — Claude Free plan exists.
  9. @Mo_ali on X, Jul 15, 2026 — the original post; all figures in What they did and How it went.
  10. @Mike_Stelzner on X, Oct 15, 2026 — testimonial-to-video-ad example and the 90-minute figure.
  11. @lkr on X, Feb 13, 2026 — /testimonial Claude Code workflow.

THE NERD SIGNAL

Rocky digs through the AI noise. You get the good bits.