What's Happening?
A recent survey from SOCi.ai's 2026 Local Discovery Index reveals a significant increase in U.S. consumers using AI tools to find local businesses, with the share rising from 9% in 2025 to 52% in 2026. Despite this surge in usage, consumer trust in AI remains
low. The survey, which included over 1,000 U.S. consumers, found that 67% of AI tool users have received incorrect information about a local business at least once, with 30% experiencing real inconvenience as a result. Only 27% of consumers reported an increase in their trust in AI over the past year, while 23% stated their trust has actually declined. This trust gap leads 81% of consumers to verify AI recommendations through other sources like reviews (33%), social media (20%), or independent searches (16%) before contacting a business.
Why It's Important?
This trend highlights a critical challenge for U.S. businesses and the evolving digital landscape. While AI offers a new channel for discovery, the lack of consumer trust necessitates a multi-channel approach to marketing and reputation management. Businesses cannot solely rely on AI visibility; they must ensure consistent and accurate information across all platforms, including search engines, social media, and review sites. The 'verification loop' described in the report means that consumers are actively cross-referencing information, making a business's online presence and responsiveness to reviews more crucial than ever. This impacts local economies by influencing consumer choices and potentially penalizing businesses with outdated or inconsistent online information, regardless of their AI search ranking.
What's Next?
Businesses must adapt their strategies to address the fragmented consumer journey and the trust deficit in AI. This involves prioritizing consistent information across all digital channels, actively managing online reviews, and maintaining an engaging social media presence. The report suggests that appearing in AI search results is necessary but not sufficient; businesses must also provide compelling reasons for consumers to trust and choose them after verification. Marketers will need to integrate AI visibility with robust reputation management and customer engagement strategies. As AI tools continue to evolve, the accuracy and reliability of their information will be key to building consumer trust, which could eventually reduce the need for extensive verification steps.
Beyond the Headlines
The low trust in AI for local business discovery points to broader societal concerns about the reliability and potential biases of artificial intelligence. The fact that a significant portion of users receive wrong information and experience inconvenience raises questions about the quality control and ethical deployment of AI in consumer-facing applications. This 'trust gap' could hinder the full adoption of AI technologies in various sectors if not addressed. It also underscores the enduring importance of human-validated information sources, such as peer reviews and direct verification, in an increasingly AI-driven world. The development of more accurate and transparent AI systems, coupled with clear disclaimers about potential inaccuracies, will be crucial for fostering greater public confidence in these powerful tools.
