Review platforms are websites on which customers, employees or testers rate companies and products: Trustpilot, Capterra, G2, Kununu, the Google Business Profile, testing institutes such as Stiftung Warentest. For AI systems, they are the preferred source for trust and reputation questions — “Is provider X good, what are people’s experiences?” — because they deliver neutral information from third parties. At the SISTRIX Meetup in September 2026, Chrissy Kunisch (ONE Beyond Search) cited a roughly three times higher chance of being cited with presence on review platforms.
How do review platforms affect AI answers?
Trust and reputation questions come immediately before the purchasing decision: the user has a brand in view and wants to validate it through neutral sources. The system therefore does not look for the brand’s website but for reviews. A maintained profile on a cited platform gives the system name, description, average rating and individual voices — and with that, the passage it needs for the answer. If the profile is missing, the system answers the question with whatever else it finds, or not at all.
Why do review platforms matter for AI visibility?
Because trust questions are among the most relevant in the prompt set: anyone who fails to convince here has lost the user, even though the user was already looking at their brand. Review platforms are at the same time a source of domain authority and a sentiment factor: they determine whether and how a brand is assessed when the AI mentions it.
What does this mean for your website?
Determine which platforms AI systems cite for trust questions about your industry, and set up maintained profiles there — with the same brand description as everywhere else (consistent brand description). Ask satisfied customers for current, specific reviews. Respond to critical voices factually; the response is read too. Bought or fake reviews are not a lever but a risk.