Lightly polish real customer quotes that you have permission to publish, so they read like the customer rather than the marketing team. Sentence-level highlights surface the uniform praise structure, the game-changing adjectives, and the generic ROI percentages that visitors clock in seconds. Built for in-house content marketers, landing-page writers, and customer-marketing leads who want testimonials that convert without crossing FTC Endorsement Guide lines. Free to try. No card.
TextSight polishes real customer quotes you already have permission to publish. It does not generate fake testimonials, invent customers, or inflate claims a real customer never made. Crossing that line is deceptive under FTC Endorsement Guides and equivalent rules in the UK, EU, India, and most G20 economies, and it kills credibility on the landing page the day a buyer notices.
The honest workflow has three inputs: a real customer who actually used your product, a real quote they actually said, and written permission to publish their words with attribution. Light editorial polish on top of those three inputs is standard practice across every B2B marketing team that publishes social proof. Asking ChatGPT to invent a testimonial is not polish; it is fabrication, and it sits in a different ethical and legal category entirely.
The customer sent a thank-you email, answered a survey, or said something quotable on a call. The raw text has a filler word, a typo, or a clause that trails off. You want to publish a polished version that still sounds like the customer rather than the marketing team. That is exactly the workflow TextSight is built for, and Light mode is the only AI rewriter setting you should reach for.
If you do not have a real customer, a real quote, and written consent, the answer is to go get them rather than to generate them. ChatGPT can write a perfectly plausible fake quote in five seconds. Publishing it is FTC-actionable, opens you to advertising-standards complaints in most jurisdictions, and breaks the trust of every real customer on the page. The fastest way to ship a credible testimonial section is still to email five happy users.
We are not lawyers. The FTC Endorsement Guides, the CAP Code in the UK, the EU Unfair Commercial Practices Directive, India's CCPA endorsement rules, and equivalent regimes elsewhere all share the same basic shape: testimonials must reflect honest opinions, material claims need substantiation, and material connections must be disclosed. Ask qualified counsel on anything you publish.
After two years of ChatGPT-shaped marketing prose in the wild, B2B and B2C visitors recognise these six patterns inside the first quote on the page. Each one signals that the marketing team did too much work between the customer's real words and the published version. The fixes are surgical and almost always shorten the quote rather than rewrite it.
Setup, benefit, superlative, sign-off. When all four testimonials on the page follow the identical arc, visitors clock the template inside fifteen seconds. Real customers vary wildly in how they answer the same question. The fix is to publish one short quote, one rambling one, one with a specific number, and one that opens with a complaint that got resolved. Visual unevenness reinforces voice unevenness.
The two adjectives nearly every AI-polished testimonial reaches for. Both signal that the customer is supplying a marketing line rather than a description of their own experience. Delete every instance. If the customer actually said it, replace with the specific outcome that lives underneath. Usually there is a concrete number or a named workflow change waiting to be surfaced.
"Cut costs by 40 percent" or "Boosted productivity by 200 percent" with no absolute, no time window, and no starting point. ChatGPT defaults to clean round numbers because the source data did not include the messy real ones. The fix is to pair every percentage with the absolute and the window: "Cut our Friday close from six hours to ninety minutes, every week since March." A buyer can picture the second version. The first one dissolves on contact.
Every clause balanced. Every comma in place. No hedges, no fragments, no false starts. Real customers do not write like this in feedback emails. When the quote does, it reads as agency-written. The fix is to keep one small quirk: a sentence that opens with And, a clause that trails off, a missing Oxford comma. The quote gains twenty points of perceived authenticity without losing readability.
"Highly recommend. Easy to use. Saves time." None of it tells the reader who the speaker is or how they were going to use the product. The praise floats above the actual use case and dissolves on contact. The fix is to surface the role and the task in the quote itself: "As a freelance copywriter editing three client briefs a day, this cut my Saturday admin block in half." A senior buyer reads the title plus the workflow far more carefully than the adjective stack.
A first name plus a Founder and CEO title plus a company name nobody can find in a search. The whole attribution feels manufactured. Visitors check. When the LinkedIn profile is empty or the company website is a one-page placeholder, the testimonial dies and takes the rest of the page down with it. Use full names, link the LinkedIn, link the company website, keep the verified-customer status on file.
Before any polish, three things have to be true: the customer is real, they actually used the product, and they have given written consent to publish their words with attribution. Without those three inputs no amount of editorial craft makes the testimonial safe to ship. With them, light polish is a routine editorial pass.
One email is not enough. Send the polished draft next to the verbatim original, flag exactly what changed, and ask for explicit written approval on the final wording before publishing. Save the entire email thread to a folder per customer. If a complaint ever lands, the approval thread is the evidence that the published quote reflects what the customer believes and said.
For B2B testimonials, the proof is the contract, the deployment date, and ideally a usage record showing the customer actually ran the product. For B2C testimonials, the order ID, the delivery date, and any post-purchase support touch points work. Without verification on file, the testimonial is unsubstantiated, which is a soft target for FTC complaints and for competitor takedown filings.
If the customer received free credits, a discount, a referral payout, or any other consideration in exchange for the quote, FTC Endorsement Guides require the page to disclose it. The disclosure should sit near the quote rather than in a privacy footer. This is the single rule the most marketing teams forget, and the easiest one for a competitor or a regulator to point to.
Tiny polish edits go back for sign-off. Anything that changes a number, a product name, a workflow detail, or the customer's actual claim needs fresh consent on the new wording. If the original is two years old and you are re-using it on a redesigned landing page, send the customer the polished version and ask whether they still stand by it. Most do. The ones who do not are exactly the consents you would not have wanted to rely on anyway.
Pro at $19.99 a month standard, $14.99 a month on yearly, fits in-house content marketers and customer-marketing leads polishing ten to thirty testimonials a month. Business at $39.99 a month standard, $29.99 a month on yearly, fits revenue-marketing pods and agencies managing testimonial programs across multiple landing pages. Full details on the pricing page.
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Customer testimonials sit in a different risk category from blog prose or even case-study framing. The quote is the customer speaking, and any rewrite that changes meaning, restructures the argument, or smooths the voice into marketing copy crosses the editorial line. Mode selection is the single most consequential choice in the workflow.
Light is the only mode you should reach for on a verified customer quote. It touches the prose framing while preserving figures, dates, named entities, and the customer's voice. Filler words come down, an obvious typo gets fixed, a repeated thought disappears. The sentence shape and the meaning stay intact. Aim for an Authenticity Score in the seventies rather than the nineties; real customer feedback hovers there, and a perfect ninety-eight reads scripted.
Reserve Balanced for the rare case where the raw quote barely parses: a voice-memo transcript with three speakers overlapping, a survey response with the customer mid-sentence-correcting themselves twice, or a thank-you email written from a phone at 2 a.m. with autocorrect chaos. Even then, re-read the output line by line, compare to the original, and send both versions to the customer for sign-off rather than just the polished one.
Maximum rewrites sentence structure, which is the one thing a testimonial cannot survive. Any time the published quote restructures the customer's argument or smooths their voice into marketing copy, you have crossed from polish into authorship, and the FTC Endorsement Guides start applying differently. If the source quote is so rough that Light cannot make it readable, the right answer is to ask the customer a follow-up question and get a better raw quote, not to crank the mode up.
Pair a thirty-word quote with an eighty-word quote and a one-line zinger. Different roles, different industries, different angles. The visual unevenness reinforces the voice unevenness in the words themselves. If the testimonial section has four blocks of identical length and shape, no amount of polishing the individual quotes can rescue the page; visitors clock the template before they read the words.
A real example from a workflow-automation landing page refresh. The customer is real, the contract is real, the Friday-close metric is real, and the written sign-off is on file. The first version is what the marketing team published after running the original through ChatGPT for polish. The second is what shipped after a Light-mode pass and a re-read against the original transcript.
"TextSight has been an absolutely game-changing addition to our workflow. By leveraging the platform's comprehensive feature set, we have unlocked transformative productivity gains and seen a 40 percent improvement in operational efficiency. The seamless integration with our existing tools has been nothing short of revolutionary, and I highly recommend it to any team looking to elevate their content operations."
"Our Friday close used to be a six-hour block. We started running drafts through TextSight in February and by March it was down to about ninety minutes, every week. I still spot-check the highlighted phrases by hand because I do not entirely trust myself to remember which ones I flagged last time. And the team has stopped asking whether the page copy sounds like marketing wrote it, which is the part nobody warned me would matter."
The game-changing and transformative adjectives dropped. The leveraging-to-unlock verb stack dropped. The vague 40 percent improvement became a specific six-hours-to-ninety-minutes absolute with a real time window. The marketing-perfect closing line became a small admission of self-doubt ("I do not entirely trust myself") that no marketing team would write. The customer recognised the second version as their own words on the approval call and signed off in twelve minutes. The first version had taken three rounds and the customer still asked for changes after publication.
More for content and customer marketing.
B2B customer stories that ring true at the bottom of the funnel and survive legal review.
For case studies →Ad copy, landing-page heroes, and email sequences without the templated AI fingerprint.
For marketing copy →Light, Balanced, and Maximum modes for fixing flagged passages without losing voice.
Read the guide →Free, Starter, Pro, Business. Yearly billing saves 25%. Solo writers to revenue-marketing pods.
See pricing →Free to try. No card. Pro at $14.99 a month on yearly for in-house content marketers; Business at $29.99 a month on yearly for revenue-marketing pods.