AI and testimonials
Can You Use AI Written Testimonials
An AI tool will happily write five glowing testimonials in a second. Publishing them as if customers said them is exactly what the FTC’s rule on fake reviews and testimonials targets. Some AI help is far lower risk, such as fixing a typo the customer then approves. The checklist below separates the two for any quote an AI has touched.
- Spot a quote that no customer actually gave
- Check AI edits against the customer’s meaning
- Cites the FTC pages it relies on
Free checklist
Run this on any quote an AI tool has touched
One quote at a time. If an item in the first group is unticked, stop there.
Your ticks stay in this browser tab. Nothing is sent.
The problem, solved
Why teams reach for AI, and what to do instead
- Problem 1
Our testimonial section is empty
A new business with happy customers but no written praise, and an AI tool offering to fill the gap in seconds.
How StoryProof solves it
Send real customers one collection link. They can record a video, leave an audio note or write a few lines, with no app to install.
- Problem 2
Customers write badly, so we rewrite
A run on paragraph full of typos gets fed to an AI, which returns something polished and slightly different in meaning.
How StoryProof solves it
Nothing a customer submits goes public until you approve it, so there is time to send the tidied version back for their yes before it appears.
- Problem 3
They said it on a call, not in writing
The praise exists, but only as your memory of a conversation, so it gets “reconstructed”.
How StoryProof solves it
Ask them to say it again as an audio note through the link. Audio plays in widgets and on the Wall of Love, in their own voice.
- Problem 4
We do not have time to ask everyone
Generating is quicker than chasing fifty customers by hand.
How StoryProof solves it
Add those customers as contacts and send the request to all of them by email. Contacts and smart lists are on every plan.
- Problem 5
We cannot tell which quotes were edited
After a year of tidying, nobody remembers which testimonials are verbatim and which were reworked.
How StoryProof solves it
Tag every quote you edited, with the customer’s approval, so the edited ones are easy to find and recheck.
AI uses, from fabricated to assisted
A plain reading of the FTC pages listed under sources. It is not legal advice.
In StoryProof
Replace generated quotes with real ones
- 1
Ask customers directly
Add them as contacts and email the collection link with one specific question.
- 2
Read each answer as it arrives
Submissions wait for your approval, so nothing appears before you have checked it.
- 3
Edit only with consent
If a quote needs tidying, send the customer the new wording and approve it only after their written yes.
- 4
Mark what changed
Tag edited quotes so a later review can find and recheck them.
What happens next: Remove any testimonial already on your site that you cannot trace to a real customer’s words. Then fill the space with what you collect.
Before you start
Read before relying on this page
What this does not cover, and what to check on your side. Better to know now than after launch.
- 01
This is not legal advice
It summarises FTC pages we read on the date shown. Rules differ outside the United States, and a lawyer should review anything borderline.
- 02
The rule reaches beyond AI
The FTC rule also covers insider reviews, paying for positive sentiment and suppressing negative reviews. This page only covers generated text.
- 03
StoryProof does not detect AI text
It stores what customers submit and what you approve. Judging whether a quote is genuine stays with you.
- 04
Approval is not a loophole
Getting a customer to “approve” praise they never expressed does not make it their opinion. Start from their words.
- 05
Penalties are possible
The FTC says the rule lets it seek civil penalties against knowing violators. Treat a generated testimonial as a real legal risk, not a style choice.
FAQ
Questions people ask
Short answers to what usually comes up next.
Is it illegal to use AI generated testimonials?
In the United States, the FTC’s rule on consumer reviews and testimonials bans testimonials that falsely claim to come from someone who does not exist or has no real experience with the business, and its announcement names AI generated fake reviews. Check the rules where you sell with a lawyer.
Can I use AI to fix grammar in a real testimonial?
That is lower risk, as long as the meaning does not change and the customer approves the final wording. Keep their original alongside it.
Can I use an AI avatar to read a real customer’s quote?
The FTC’s questions and answers on the rule say it has no blanket ban on AI avatars, but a testimonial they deliver is still covered if the underlying testimonial is fake or false. Make it clear the avatar is not the customer.
What if a competitor uses fake AI testimonials?
Their choice does not change your risk. Real testimonials with names, roles and a voice or face are also harder to doubt.
Still have a question? Ask the StoryProof team or book a demo.
Real words from real customers
Collect testimonials in your customers’ own voice and approve each one before it appears.
Sources
- Federal Trade Commission Announces Final Rule Banning Fake Reviews and Testimonials, Federal Trade Commission. Checked 2026-11-06.
- The Consumer Reviews and Testimonials Rule: Questions and Answers, Federal Trade Commission. Checked 2026-11-06.
- FTC’s Endorsement Guides: What People Are Asking, Federal Trade Commission. Checked 2026-11-06.
Last updated 2026-11-06.