Trustpilot adds product pages, location reviews and AI visibility tools for businesses

# What Trustpilot launched and why it matters Trustpilot announced new and expanded features aimed at helping businesses appear more often and more precisely in AI-powered search and recommendation results. The updates focus on product-level reviews, location-level management, market visibility metrics tied to AI answers, and an enterprise beta of an AI assistant that works inside business tools.

# The main features

• Product Review Pages: Individual products now have dedicated public review pages so feedback about fit, quality and performance is available at the product level. That makes it more likely a single item will appear when shoppers ask AI systems what to buy.

• Location Reviews: Brands can collect and manage reviews for individual stores or branches. New bulk-management tools and developer APIs target businesses with large networks that need to compare locations and improve local or conversational search signals.

• AI Search Market Insights: This tool compares how often AI platforms cite a company's Trustpilot profile against competitors and shows changes over time, which helps businesses identify where to focus review collection and customer experience work.

• Trustpilot AI (Beta): Available to Enterprise customers in a limited beta, this assistant and MCP service integrates with Slack, CRMs and LLMs to draft review replies, summarize customer-feedback trends and support agentic workflows.

# Evidence cited in the announcement

# How Trustpilot connects reviews to AI search behavior Trustpilot's product messaging explains that AI systems prioritize information aligned with how people make purchasing decisions: who sells a product, where to find it, and if the service is reliable. Trustpilot argues that its structured review data provides layered evidence AI systems need to make recommendations, increasing citation rates when AI compares options.

# Roadmap context This roll-out is described as phase two of Trustpilot's broader AI commerce roadmap. The first phase introduced the "3Rs" framework—Recency, Relevance and Ranking—and delivered tools for collecting current reviews, monitoring AI visibility and unifying reputation insights.

# Practical implications for businesses

• If a business wants individual products to appear in AI comparisons, it should consider creating Product Review Pages and encouraging product-level feedback.
• Multi-location businesses should evaluate the new bulk-management and API options to centralize review collection and compare branches.
• Marketing or e‑commerce teams can use AI Search Market Insights to monitor AI citation trends and identify competitors that are surfacing more often in AI answers.
• Enterprise teams that already use Slack or a CRM can apply for the Trustpilot AI beta to automate reply drafting and generate actionable summaries of feedback.

Ciaran Dynes, Trustpilot's chief product officer, said AI users want to know who sells a product, where to find it and whether the service is reliable, and that Trustpilot's structured format gives AI systems the layered evidence needed for accurate recommendations.

# What to watch next