However, new research suggests the information they provide isn't always accurate.
The State of AI Business Accuracy Report 2026, published by AI visibility specialist LLM Listed, examined how ChatGPT, Gemini, Claude and Perplexity represented 250 businesses across 20 industries.
Although the platforms correctly identified the basic purpose of a business in 92% of responses, their answers became less dependable when commercially important details were requested.
The study found 28% of responses omitted significant products, services or specialist capabilities. Five per cent confused a company with an entirely different business, while only 46% of companies received broadly consistent recommendations across all four platforms.
Local businesses appeared particularly vulnerable, being four times more likely than nationally recognised brands to be materially misunderstood.
Other findings included company founders being identified correctly in 70% of responses and headquarters in 85%. Some 23% of pricing answers contained specific figures, many of which appeared speculative or could not be linked confidently to authoritative sources.
Companies’ own websites appeared as sources in 40% of recommendation responses, while Reddit appeared in 35%.
This matters because customers may use an AI assistant’s answer to eliminate a business before visiting its website. Incorrect information about prices, services, geographic coverage, accreditations, leadership, security or product compatibility could quietly cost companies enquiries and sales.
“There is no single definitive AI answer about a company,” explained LLM Listed founder Ben Harper. “ChatGPT may represent it accurately while Gemini relies on older information, or Perplexity may emphasise a source that produces a completely different conclusion.”
In response, LLM Listed has launched its AI Brand Protection service. Its initial 30-to-60-day programme creates a verified company fact base, tests multiple AI platforms, identifies repeatable inaccuracies and investigates conflicting or missing sources. Correction work is then prioritised before the original questions are tested again.
The company stresses that it cannot control answers generated by independent AI platforms. Instead, the service aims to improve the authoritative information available to those systems and establish ongoing monitoring procedures.
For businesses, this highlights an emerging form of brand governance. Companies already monitor press coverage, search results, reviews and social media. They may now need to scrutinise what AI assistants tell potential customers, especially following a rebrand, acquisition, price change, executive appointment, new certification or product launch.
Being absent from an AI answer may represent a missed opportunity. Being confidently misrepresented could pose a much more immediate commercial and reputational risk.
You can read the report here https://llmlisted.com/research/ai-business-accuracy-report-2026
No comments:
Post a Comment