The Cost of Fake Resident Reviews
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Great pictures? Check!
Awesome product descriptions? Check!
A healthy mix of positive and negative reviews, with consistent responses that demonstrate customer service and a willingness to address and resolve concerns quickly and professionally?
Well… That might be a bit more of a challenge.
It’s no secret that reviews drive revenue. It’s why
98% of consumers read reviews
before they make a purchase. A higher volume of reviews (demonstrating consistent purchases and trust) with a good score (indicating consumer satisfaction) is what prompts people to buy.
But how do you know if you can trust the reviews you’re reading?
Genuine reviews are critical for local SEO and are a major ranking factor, but there is a growing rise of fake reviews that is harming both consumers (preventing them from making informed buying decisions) and businesses (costing them millions in lost revenue).
So, let’s talk about fake reviews - what they are, how to spot them, and how major platforms are combating them.
What Are Fake Reviews?
Fake reviews are misleading and manipulative, and often written by bots, paid individuals, or even competitors looking to cause a business harm. Now heavily amplified by AI, these fake reviews are creating a lot of convincing feedback.
Here are just a few examples of how fake reviews are used:
- Ratings Boost: Purchasing 5-star reviews to bump up ratings.
- Competitor Disruption: Posting fake one-star reviews about a competitor to lower their reputation scores.
- AI-Generated Spam: Using ChatGPT to generate hundreds of fake reviews that seem different/detailed to fill their product pages.
- Employee Generated: Employees leave great reviews about their business and their products while pretending to be unbiased customers.
- Paying For Reviews: Providing influencers or individuals with money in exchange for reviews that don’t reflect their experience.
The Real Cost
The incentive to get positive reviews is intense because good reviews mean more revenue. Positive reviews also build up a brand’s reputation and presence online, which is a big deal when you’re in a competitive market.
And as with most things, fake reviews are a bit of a double-edged sword.
Sure, they can
increase a brand’s sales by 5-9%, and when it comes to visibility, those
reviews on Google can mean the difference between being found on page 1 or on page 3.
However, the
World Economic Forum estimates that reviews cost businesses and consumers approximately $152 billion annually and cost $300 billion in consumer harm, with the average household losing
almost $2,400 annually due to purchases influenced by fake reviews.
How to Spot Them
Content created by Generative AI has grown at a staggering rate, and reviews on major platforms like Yelp, Amazon, Tripadvisor, and Google are becoming increasingly unreliable.
With over
80% of consumers encountering fake reviews, it can be quite challenging to make a well-informed decision when it comes to making any type of purchase.
While fake reviews are removed in droves (hundreds of millions annually), AI is becoming even more sophisticated at evading detection. In the last year alone, Amazon saw about a 43% fake review rate of the 33.5 million reviews of its bestselling products on the website.
There are many ways to identify fake reviews, and we recommend listening to the FTC’s means of spotting them, including:
- Reviews that are very similar to each other
- Hundreds or thousands of 5-star Google Reviews (no negative ones)
Reputation also reports some additional ways of
identifying fake reviews and suggests checking dates, certain words/phrases, user profiles, and other reviews posted by the user.
How Platforms Are Combatting Them
Major platforms are cracking down on incoming ratings/reviews and implementing new policies to combat the influx of fake ones.
Google, for example, has
guidelines regarding Fake Engagement and Rating Manipulation, and a process for
submitting appeals for reviews that might’ve mistakenly been marked as fake.
Yelp, which has some of the strictest review policies, has automated systems in place that flag and filter suspicious reviews, and all reviews must go through advanced software that checks them for reliability and authenticity.
Even the FTC has introduced its very own
guidelines for reviews. They also published
Trade Regulation Rule on the Use of Consumer Reviews and Testimonials,
and placed bans on the sale and purchase of fake reviews.
Violations can result in substantial fines, including penalties of more than $50,000 per fake review, plus up to 10% of revenue gotten from those deceptive reviews.
The Bottom Line
Fake reviews suck.
They hurt consumers and businesses alike, causing financial loss, promoting unsafe products, and even destroying honest businesses. Customers are being deceived into spending money on substandard products, and damaged business reputations ultimately lead to lost revenue and reduced trust in online marketplaces.
The good news? Buyers are savvy. Businesses are spotting the trolls. Regulators are stepping in and dishing out real consequences. AI may be making it harder to spot, but businesses and consumers are determined not to be fooled (again).
So, what can
you do?
As a business, earn
authentic reviews the right way. Encourage customers to share their experience, positive or negative, and respond to that feedback professionally. Show you care by actually addressing and resolving customer concerns.
And as a consumer? Leave an honest review. Also, do your homework. A few extra minutes spent vetting reviews could save you hundreds of dollars and a whole lot of frustration.
ABOUT THE AUTHOR
Tracy is an Organic Media Specialist at Repli, where she helps multifamily marketers turn visibility into velocity. With a background in sales, multifamily, and reputation management, she specializes in connecting SEO strategy, online reputation, and renter behavior to uncover insights that fuel smarter marketing decisions and stronger leasing performance. When she’s not optimizing digital presence, she’s spending time with her family, binge-watching TV, or diving into a good book.
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