Online reputation is shaped by what customers can find, how recent and credible it appears, and how a business responds in public. The latest local-review research shows that only 4% of consumers never read online business reviews, while 85% are more likely to use a business after reading positive reviews. The figures below bring together consumer surveys, platform-reported enforcement totals, and multi-location marketing research. The populations and measurement periods vary, so each statistic is labeled accordingly.
Contents
- How consumers find and read reviews
- How reviews influence choice and spending
- The reputation signals consumers expect
- Review responses and feedback management
- Authenticity, fake reviews, and platform enforcement
- Transparency and social reputation
- Business investment in reputation-adjacent marketing
How consumers find and read reviews
Online reviews are now part of the normal research process. In BrightLocal’s Local Consumer Review Survey 2025, only 4% of consumers said they never read online business reviews. The same 2025 survey found that 48% of U.S. adults used local news outlets as sources for local business reviews. Review management therefore extends beyond a single profile: consumers may encounter reputation signals through search, local media, and other discovery paths.
The sequence after a positive review also matters. BrightLocal’s LCRS 2026 found that 37% of consumers go on to read more reviews, while 24% visit the business’s social-media channels. A favorable review can start a broader credibility check rather than end the research process.
AI summaries are becoming another layer in that process. In 2025, 48% of consumers said they read an AI-generated review summary before reading a mix of positive and negative reviews. Still, only 18% said they would make a business decision from an AI review summary alone. That gap suggests that summaries may assist discovery, while underlying reviews remain important to confidence.
Consumers also use review-detail tools. In the 2025 survey, 92% found Google review keyword filters and photos useful in some way. Half of consumers said they trust consumer reviews as much as personal recommendations from friends and family, according to BrightLocal’s Local Consumer Review Survey 2024.
How reviews influence choice and spending
The reported effect of review sentiment is substantial. In the 2026 BrightLocal survey, 85% of consumers were more likely to use a business after reading positive reviews, while negative reviews deterred 77% from using a business. These are survey responses about reported behavior and intent, not a measured conversion rate for every business.
Positive reviews often move people into another research stage. After reading one, 66% of consumers said they do further research rather than immediately purchase or book, and 34% said they are ready to buy or make a booking. The next action can happen across several channels:
| Action after reading positive reviews | Consumers, 2026 |
|---|---|
| Visit the business website | 54% |
| Visit the business location | 31% |
| Contact the business | 20% |
| Make an appointment | 20% |
Source: LCRS 2026.
The purchase history reported in the same survey shows that reviews can precede meaningful spending. Ninety-three percent of consumers said they had made a purchase after reading reviews. Twenty-seven percent had spent more than $1,000 after reading reviews, and 13% had spent more than $5,000. The survey does not establish that reviews alone caused those purchases, but it does indicate that reputation research is present in high-value buying journeys as well as routine local decisions.
The reputation signals consumers expect
Star ratings, review volume, and freshness work together. BrightLocal’s 2024 survey found that 71% of consumers would not consider using a business with an average rating below three stars. Meanwhile, 59% expected a business to have 20–99 reviews before trusting its average star rating. Only 12% said review count does not affect their trust in a business’s star rating.
Freshness is another visible signal. In the same 2024 research, 27% of consumers expected business reviews to be as fresh as two weeks old. This makes reputation management an ongoing operating task rather than a one-time effort to collect testimonials.
Local variation matters for chains and franchises. Eighty-nine percent of consumers said local-branch reviews affect their decision to use a chain or franchise in some way. A strong corporate average may not compensate for a weak or neglected branch profile when customers are choosing a specific location.
The 2025 BrightLocal findings also show that not every review interface feature is equally persuasive. The share of consumers saying star rating does not affect their decisions increased by 4% in 2025. In addition, 19% rated Google’s highlighted-review feature as not useful, and 13% rated sorting reviews by lowest rating as not useful. These results do not make ratings irrelevant; they show that consumers interpret and value review tools differently.
Review responses and feedback management
Whether a business responds is itself a reputation signal. In the 2026 survey, 89% of consumers expected business owners to respond to reviews. Eighty percent were likely to use a business that responds to every review, while 42% were unlikely to use one that ignores its reviews entirely. Only 7% said they do not expect businesses to respond.
Timing matters, but expectations are not identical. Nineteen percent expected a same-day response, 32% expected a response by the following day, and 81% expected a response within a week. BrightLocal’s 2025 survey similarly found that 63% expected a response between two to three days and one week. Together, these findings point to a practical service standard: monitor review channels consistently and avoid leaving ordinary feedback unanswered for long periods.
Personalization matters too. Half of consumers said they were unlikely to choose a business that uses templated or generic review responses. A response policy should therefore create consistency in tone and escalation, not force every customer into identical wording.
The 2024 survey provides a useful comparison of response coverage. Eighty-eight percent of consumers said they would use a business that responds to both positive and negative reviews, compared with 47% for a business that responds to none. Responding only to praise leaves an obvious gap: customers can also judge how the business handles criticism, mistakes, and unresolved experiences.
Authenticity, fake reviews, and platform enforcement
Trust depends on reviews appearing genuine. In the 2025 BrightLocal survey, 24% of consumers said they were confident they had spotted a fake review in the past year. Forty-six percent would suspect a review was fake if it felt written by AI, while 42% would suspect one if it appeared to be part of a paid or incentivized agreement. Nineteen percent said they had not seen fake reviews on any of the review sites presented in the 2024 survey.
These findings describe consumer perceptions and reported experiences; they do not estimate the true share of reviews that are fake. They also show why reputation programs should prioritize authentic customer feedback and transparent requests rather than language that appears manufactured or financially induced.
Google’s figures describe enforcement activity, not the prevalence of fake reviews. Google reported that it blocked or removed more than 240 million policy-violating reviews in 2024 and more than 12 million fake Business Profiles. In a separate report, Google said it blocked or removed more than 170 million policy-violating reviews in 2023, a total more than 45% higher than in 2022. These are platform-reported totals, so they should not be read as the percentage of all reviews or profiles that violate policy.
Transparency and social reputation
Social reputation includes how clearly a business communicates when customers are watching. Sprout Social’s #BrandsGetReal: Social media & the evolution of transparency surveyed 1,000 U.S. consumers online from April 30 to May 9, 2018. Because this is an older study, its findings should be treated as historical rather than current measurements.
In that 2018 survey, 81% of people believed social media had increased accountability for businesses, and 86% of Americans said business transparency was more important than ever. Only 15% believed brands were currently very transparent on social media. The results describe a sizable expectation gap between the importance consumers assign to transparency and how transparent they perceive brands to be.
Transparency was also connected with commercial and recovery outcomes. Seventy-three percent of consumers said they were willing to pay more for products that guarantee total transparency. Eighty-five percent said a history of transparency makes a business more likely to receive a second chance after a bad experience. Eighty-nine percent said a business can regain their trust if it admits a mistake and explains how it will resolve it. Conversely, 86% said they were likely to take their business to a competitor when a brand lacks transparency on social media.
Business investment in reputation-adjacent marketing
Multi-location organizations show how reputation work can connect with broader local marketing operations. BrightLocal’s Brand Beacon Report 2024 covered 200 marketing decision-makers at multi-location or franchise businesses in the United States, the United Kingdom, and Canada. The report described 2023 performance in its 2024 publication.
Ninety-four percent of high-performing multi-location brands had a dedicated local marketing strategy, compared with 60% of average-performing brands. High-performing brands were also 15% more likely than average performers to focus on customer retention. These associations do not prove that a particular strategy caused higher performance, but they show how local visibility and retention can be treated as coordinated priorities.
Social media investment was widespread: 99% of multi-location brands invested in social media, and 88% invested a medium-to-high amount. Eighty-two percent of multi-location marketing decision-makers rated their organizations good or very good at maintaining consistency of reputation.
Marketing technology was more common among the higher-performing group. Ninety-eight percent of high-performing multi-location brands used marketing technology to some or a great extent for local marketing, versus 77% of average performers. For reputation management, the implication is operational: review monitoring, response workflows, location-level data, and social publishing all benefit from a system that keeps information and actions consistent without making customer replies generic.