beginner / August 2026

AI Reviews and Endorsement Integrity Basics Quiz

AI-generated reviews, synthetic testimonials, unclear incentives, and weak endorsement disclosures can break trust quickly. Review fake reviews, real customer experience, material connections, disclosure placement, and monitoring before approval.

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Questions
10
Time limit
5 min
Scoring
First signed-in attempt counts
Edition
August 2026

What this quiz checks

Keep AI-assisted customer proof honest

Review integrityEndorsement checksDisclosure reviewSynthetic testimonial riskInfluencer monitoring
  • Keep Reviews And Testimonials RealAI can make reviews and testimonials look easy to scale, but proof from a real experience still matters.
  • Make Paid Or Connected Praise ClearPeople need to know when a recommendation may be shaped by payment, free products, employment, or another connection.
  • Check Review Programs And VendorsReview integrity also depends on how the team asks for reviews, selects them, and supervises outside help.

Study first

Review the ideas behind the questions

Check review and endorsement proof before AI-assisted marketing uses it. Focus on whether the person is real, the experience is real, the incentive is clear, and the disclosure is hard to miss.

Keep Reviews And Testimonials Real

AI can make reviews and testimonials look easy to scale, but proof from a real experience still matters.

  • Fake reviews or testimonials can include statements by people who do not exist, including AI-generated fake reviews.
  • A marketer should not ask for reviews from people who have not used or experienced the product or service.
  • A business featuring testimonials on its own website is using promotional messages, not merely hosting reviews.

In Practice

Real Experience First

Before using a glowing line, confirm that it came from a real person with a real experience that matches the claim.

Generated Personas Are Risky Proof

A synthetic customer quote should not be treated as customer proof just because the wording sounds plausible.

Common mistakes

  • Using an AI-written customer quote because it matches common feedback themes.

    Use a real, approved customer statement or remove the quote from proof-based marketing.

Q&A

Can AI write a customer review for a person who never gave one?

No. A review or testimonial should not pretend to come from a real customer experience that did not happen.

Is a testimonial on a brand website just a hosted review?

No. When the business features it as promotional proof, it is a testimonial and needs review as advertising support.

Make Paid Or Connected Praise Clear

People need to know when a recommendation may be shaped by payment, free products, employment, or another connection.

  • A material connection to a brand should be disclosed when followers would not expect it and it could affect how they evaluate the endorsement.
  • Disclosures should be placed with the endorsement message where people are likely to see and understand them.
  • A platform disclosure tool can help, but the brand and endorser still need to judge whether the disclosure is clear and conspicuous.

In Practice

Disclosure Near The Praise

A buried note at the end of a long post is weak because people may miss it before they see the recommendation.

Monitor Directed Creators

If the team pays or directs endorsers, it needs reasonable training, monitoring, and action when problems appear.

Common mistakes

  • Approving a creator post because the platform added a small paid label somewhere on the page.

    Check whether the disclosure is clear, near the endorsement, easy to read, and understandable to ordinary viewers.

Q&A

What should a marketer check before using an AI-polished influencer quote?

Check that the experience is truthful, the allowed claim is supported, and any material connection is clear.

Can a review incentive depend on the review being positive?

No. Incentives should not be conditioned on a positive or negative review sentiment.

Check Review Programs And Vendors

Review integrity also depends on how the team asks for reviews, selects them, and supervises outside help.

  • A marketer should understand what reputation or review vendors are doing on the business's behalf.
  • Review requests should not target only customers expected to leave positive reviews.
  • A business should not misuse review-platform reporting tools to remove honest negative reviews.

In Practice

Ask What The Vendor Does

A vendor that promises fast reputation gains should explain whether it is soliciting real reviews or manipulating proof.

Do Not Filter The Ask

Asking only likely fans can distort the feedback picture even when each individual review is written by a real customer.

Common mistakes

  • Letting a vendor handle review growth without checking whether the reviews come from real customers.

    Ask how reviews will be generated and reject tactics that create fake or misleading proof.

Q&A

Why should a marketer review reputation-vendor methods?

Because vendor tactics can still create review and testimonial risk for the business.

Question quality

Reviewed before publishing

Reviewed by
Aniruddh Sharma
Last checked
August 22, 2026

Reviewed against FTC review, testimonial, endorsement, and disclosure guidance because this quiz tests trust claims that marketers may be tempted to automate or synthesize.

The source pages for this edition were checked as part of the same review. Official product docs are linked where available.

Sources

Sources used for this quiz

These pages support the quiz content and study notes.