When residents of any town turn to an AI assistant for a quick recommendation—whether for a plumber, a pediatrician, or a dog walker—what they receive often rests on a simple star rating. That rating, however, may not tell the whole story.
AI use for local recommendations surges
According to BrightLocal’s 2026 Local Consumer Review Survey, 45% of Americans now ask an AI assistant for local business suggestions, up sharply from just 6% a year earlier. The shift reflects a broader habit of turning to digital helpers for everyday decisions.
Star ratings under scrutiny
Federal Trade Commission (FTC) economist Devesh Raval examined ratings across major review platforms in a 2024 study. He found that most businesses average four stars or higher, even those with documented complaints. Nearly a third of reviews consist only of a numeric rating without any written context, and almost no rating falls below two stars. In practice, the difference between a highly competent plumber and one who might flood a kitchen could be a tenth of a point—hardly a reliable indicator of quality.
FTC cracks down on fake reviews
The FTC finalized a rule in 2024 that bans fake and paid‑for reviews, as well as reviews written by individuals with a material connection to a business who fail to disclose that link. In December 2025 the agency began issuing warning letters to companies that violate the rule, each violation carrying a penalty of $53,000 or more. While it is still early to gauge the rule’s full impact, the enforcement effort signals a serious commitment to protecting consumers.
AI can amplify misinformation
AI assistants draw on these star‑based ratings when generating summaries. In May, a BBC reporter posted a fabricated claim on his personal website; within a day, major AI tools, including ChatGPT and Google’s AI Overviews, repeated the false statement as fact. Google has since updated its spam policies to address such issues, but the episode illustrates how quickly misinformation can spread when AI relies on unverified rating data.
Consumers still seek human insight
Even as AI summaries become a first step in the shopping process, most users do not rely on them alone. The BrightLocal survey shows that only 23% of consumers make purchasing decisions solely from an AI‑generated review summary. The majority—82%—still browse websites, social‑media feeds, and traditional review platforms before committing to a service.
Trust in online reviews remains relatively high, with 49% of respondents saying they trust an online review as much as a personal recommendation from a friend. Yet word‑of‑mouth from a known neighbor or coworker continues to outweigh anonymous star ratings, especially when a negative experience—like a mechanic’s mistake that delays a child’s soccer practice—can sway opinion dramatically.
Local context matters
Neighborhood‑level sources, such as Facebook groups or Nextdoor, play a vital role in informing residents about local businesses. Pew Research Center data from 2024 indicates that 52% of U.S. adults sometimes get information about their community from such platforms. Detailed, contextual reviews that mention cost, specific problems solved, or the reviewer’s proximity provide far more useful guidance than a solitary five‑star rating.
As AI assistants become a routine stop for local recommendations, regulators argue that the ratings they draw upon deserve the same level of scrutiny as any other consumer‑facing information. For now, the most trustworthy recommendations still come from identifiable locals willing to put their name behind a review.
Original reporting: KRDO (Colorado Springs metro) — read the source article.
