Trustpilot, the global open feedback platform, has unveiled a suite of new and expanded features designed to increase the likelihood that businesses and individual products will be referenced in AI-powered consumer searches. The move includes dedicated Product Review Pages, enhanced Location Reviews, a market-level analytics tool called AI Search Market Insights and a beta for Trustpilot AI.
What Trustpilot says the changes will deliver
The company argues the updates will help firms improve discovery across products, locations and brands and turn customer feedback into actionable insight. Trustpilot’s chief product officer, Ciaran Dynes, framed the changes as a response to how modern AI systems structure and prioritise information during a purchase decision.
"People use AI for more than brand discovery and trust, they also rely on it to compare brands, evaluate which products to buy, and which locations to visit," said Ciaran Dynes.
Dynes added that Trustpilot’s structured review format supplies AI models with the layered evidence they need to make recommendation decisions and that this can increase the frequency with which AI systems cite businesses.
Evidence of influence: third‑party analysis
Trustpilot pointed to independent research by Seer Interactive showing it was the most frequently cited review site across several major AI systems, including ChatGPT, Perplexity, Google AI Mode and Gemini. The analysis also found that companies with dedicated Product Review Pages enjoyed brand citation visibility that was 12 percentage points higher than firms relying on a company profile alone. Trustpilot interprets this as evidence that product-level feedback helps items surface when shoppers ask AI what to buy, shifting businesses from passive awareness into active consideration.
What businesses will gain — and what to watch
The new tools promise several practical benefits for firms trying to convert online attention into sales. Key claims include:
- Improved discoverability of specific items through Product Review Pages, rather than only brand-level profiles;
- Greater insight into how often a business appears in AI-generated answers and how that compares with competitors via AI Search Market Insights;
- The ability to focus review collection and customer-experience efforts where they will most influence AI visibility.
Those are important propositions for retailers and service providers investing in digital marketing. Greater AI citation can increase qualified traffic, which in turn may affect pricing power and sales volumes. For companies that rely on local footfall, expanded Location Reviews could shift which outlets get more customers.
Implications for wages, prices and jobs
While Trustpilot’s announcement is pitched at visibility and customer experience, there are plausible second-order effects for the wider economy. If firms that adopt these features convert more AI-driven consumer interest into purchases, they may increase staffing in front-line retail and logistics to cope with demand, or redeploy labour towards reputation-management tasks such as review collection and customer-service workflows. Conversely, businesses that fail to appear in AI responses could lose market share, pressuring margins and possibly affecting employment decisions.
On pricing, better product-level discovery can intensify competition on specific SKUs rather than brands, pushing merchants to sharpen offers and promotional strategies. That dynamic could benefit consumers through lower prices or clearer product differentiation, but might compress margins for weaker operators.
Small table: features and intended business outcome
| Feature | Primary business benefit |
|---|---|
| Product Review Pages | Product-specific visibility in AI answers |
| Location Reviews (expanded) | Improved local discovery and footfall signals |
| AI Search Market Insights | Benchmarking AI citation vs competitors |
| Trustpilot AI (beta) | Automated analysis and action on feedback |
Trustpilot’s upgrades arrive as businesses race to align their digital footprint with the way consumers now use generative AI to research purchases. For firms, the choices are increasingly technical as well as commercial: invest in structured review formats and analytics to be cited by AI, or risk becoming invisible when consumers ask their phone which product to buy.
Whether the new features translate into sustained sales and jobs gains will depend on how widely businesses adopt them and how AI providers weigh Trustpilot data against other sources. For now, the company’s case rests on third‑party citation data and the logic that structured, product-level customer feedback is more actionable for recommendation engines than generic brand reputation alone.
