AI testimonial highlights that find the sentence worth quoting
Customers rarely write the perfect pull quote. They write four paragraphs, and the line that sells sits somewhere in the middle. TestimonialManager reads each testimonial, marks the strongest fragment and transcribes every video, so your team picks a highlight in seconds instead of rereading every answer. Nothing goes on your site until someone on your team approves it.
How AI testimonial highlights work
When a testimonial lands in your library, the AI model reads the full text and suggests one short highlight: the fragment that names a concrete result, a specific problem solved or a clear reason to buy. The suggestion appears on the testimonial card, marked in the original text so you see where it came from.
- One suggested highlight per testimonial, shown in context
- The highlight is a fragment of the customer's own words, not a rewrite
- Accept it, pick a different fragment by selecting text, or ignore it
- Accepted highlights become the short version used in carousels, badges and quote cards
Long answers still keep their full version for the testimonial wall, where visitors read the whole story.
Video transcripts for every recorded testimonial
Every video recorded through your request page is transcribed automatically. The transcript sits under the player, timestamped line by line, and you can search it from the library like any text testimonial. A customer who mentions onboarding in minute two of a video shows up when your team searches for onboarding.
Transcripts also power captions on the video reel widget, so visitors who watch with sound off still follow along. If the model mishears a product name, you correct the transcript and the original recording stays untouched. Read more on video testimonial software.
The original is never changed without approval
AI suggestions never overwrite what your customer said. The original text and the original recording are stored as the customer submitted them, linked to their testimonial consent form record.
- Every suggested edit is shown to your team as a visible change, side by side with the original
- A highlight goes live only after a team member approves it
- Corrections to transcripts are saved as a separate edited version, the source stays intact
- You can always switch a widget back to the full original text
This matters for trust and for compliance. Trimming a quote is normal. Changing its meaning is not, and the side by side view makes the difference obvious to whoever approves it.
Tags and sentiment that make the library searchable
Along with the highlight, the model suggests tags for the topics a testimonial covers, such as support, pricing, onboarding, delivery or a product name, plus a sentiment label. Tags are suggestions too. Your team confirms them, and the library filters by them, so building a widget for a single product page or a single location takes a few clicks.
Teams that collect at volume, for example through review request software after every purchase, use these filters to find the right quote for a landing page without scrolling through hundreds of answers.
Monthly AI limits per plan
AI highlights and transcripts count against a monthly allowance in your billing period. Each highlight or transcript counts once, and deleting a testimonial never gives quota back.
| Plan | Price per month | Billed yearly | AI highlights and transcripts per month |
|---|---|---|---|
| Starter | 49 USD | 24 USD per month (288 USD per year) | 50 |
| Growth | 149 USD | 74 USD per month (888 USD per year) | 500 |
| Scale | 499 USD | 249 USD per month (2,988 USD per year) | 2,500 |
| Enterprise | 1,499 USD | 749 USD per month (8,988 USD per year) | 10,000 |
When you reach the limit, testimonials keep arriving and stay in the library as usual. Highlights for the rest of the period are picked by hand, or you move to a higher plan. Yearly billing saves 50 percent. Compare everything on testimonial software pricing.
What the AI model sees
To suggest a highlight or a transcript, the testimonial text or the audio track of the video is sent to an AI model provider for processing. Customer data is not used to train models for other businesses. The model works only on testimonials in your own library, and the results are stored with the item. Details for security reviews are on testimonial software security.
FAQ
Does the AI write testimonials?
No. It only selects a fragment of what your customer wrote or said and transcribes video. It never invents text or adds words the customer did not use.
Can a highlight go live without review?
No. Every highlight and every edited transcript waits for approval by someone on your team before it appears in a widget or on a wall.
What happens when I reach my monthly AI limit?
New testimonials still arrive and are stored as usual. You select highlights by hand until the next billing period, or you upgrade to a plan with a higher allowance.
Can I correct a transcript?
Yes. Your correction is saved as an edited version, and the original recording and the first transcript stay stored with the testimonial.
Let every testimonial show its best line
Start collecting, and the strongest sentence from each answer is waiting for your approval when it arrives.