Trustpilot Positions as Trust Data Supplier for the AI Agent Era — Accelerates Partnerships with EC Giants

Akihiro Suzuki

Akihiro Suzuki

Twitter

Key Takeaways

  1. Trustpilot expands partnerships with ecommerce giants and AI companies, announcing a strategy to supply review data for AI agent purchase decisions
  2. AI search click-throughs surge 1,490% year-over-year, with Trustpilot becoming the 5th most cited domain on ChatGPT
  3. E-commerce businesses face urgent need to manage review quality and implement structured data to become stores that AI agents choose

Trustpilot CEO Outlines Agentic Commerce Strategy

Reviews Site Trustpilot Aims to Cash in on Agentic Commerce

Reviews Site Trustpilot Aims to Cash in on Agentic Commerce

Reviews website Trustpilot is reportedly seeking partnerships with eCommerce giants amid the rise of AI-powered shopping.

On March 17, 2026, major review platform Trustpilot revealed a large-scale partnership strategy aimed at AI agent-driven purchase decisions. In an interview with Bloomberg News, CEO Adrian Blair stated, "When AI agents are doing the shopping, they need as much information about businesses as possible. The best AI agents will be the ones that leverage data like what Trustpilot has," expressing strong interest in strengthening partnerships with ecommerce giants.

The company's full-year 2025 results, announced the same day, showed revenue up 24% year-over-year to 261.1 million pounds, with pre-tax profit surging 172% to 14.1 million pounds, marking significant growth in both revenue and profit.

Agentic commerce is a new form of commerce where AI agents autonomously search, compare, and purchase products on behalf of consumers. The Universal Commerce Protocol (UCP), jointly developed by Google and Shopify, is advancing the development of standard specifications that enable AI agents to access product data and complete checkout.

Within this trend, the importance of third-party reviews as a trust indicator for AI agents deciding "which store to buy from" is rapidly growing. McKinsey's report predicts that agentic commerce transaction volume could reach up to $5 trillion by 2030, and competition for positioning as a data source referenced by AI agents is intensifying.

While traffic from traditional search engines is declining, the surge in AI-driven traffic is a change that cannot be overlooked. According to a PYMNTS Intelligence report, 43% of consumers who use AI platforms as their primary information source say they have "completely replaced" traditional search.

The Impact of 1,490% AI Search Traffic Growth

Backing Trustpilot's strategic pivot is the dramatic surge in AI search-driven traffic. According to AI News reporting, click-throughs from AI search increased 1,490% year-over-year. Google's decision to make "AI-powered search" the default has been a major factor behind this explosive growth.

Furthermore, Promptwatch data shows that as of January 2026, Trustpilot is the 5th most cited domain on ChatGPT worldwide. When large language models (LLMs) answer user questions, they frequently reference Trustpilot content as reliable review data.

Blair stated, "LLMs have created an entirely new surface of exposure for us. The increase in traffic and exposure from LLMs has been dramatic." The company has set a target of achieving a 30% operating margin by 2030, positioning AI-related traffic growth as a key driver. Proactive Investors' analysis projects high-teens (upper 10%) revenue growth for 2026, with adjusted EBITDA margin improving by 2-3 percentage points.

E-Commerce Industry AI Agent Readiness and Trustpilot's Position

Trustpilot's moves need to be understood in the context of the broader ecommerce industry's AI agent readiness. Major player partnerships are already advancing rapidly.

Amazon and OpenAI announced a strategic partnership in February 2026, advancing the deployment of generative AI systems on AWS. Walmart and Google have implemented product purchasing functionality within the Gemini chatbot. Shopify's UCP serves as an "agentic storefront," enabling transaction completion on AI platforms.

Meanwhile, according to Wall Street Journal reporting, Amazon is countering unauthorized AI agent platform access by maintaining control over data and advertising revenue through its own AI assistant (Amazon Rufus).

Amid this growing "walled garden" trend, Trustpilot occupies a unique position. Platform-agnostic, neutral third-party review data is useful to any AI agent. When AI agents cross-compare multiple ecommerce sites, they can reference review scores as a unified trust indicator.

Implications and Applications for E-Commerce Businesses

Trustpilot's strategic pivot directly impacts e-commerce businesses. As AI agents incorporate review data into purchase decisions, businesses need to be not only "stores chosen by human consumers" but also "stores chosen by AI."

There are three specific areas to address. First, strengthening reputation management on review platforms including Trustpilot. Prompt response to negative reviews and systematizing review requests become more important than ever.

Second, implementing structured data. Technical preparation to enhance machine readability is needed—such as Schema.org markup and UCP compliance—so that AI agents can accurately retrieve product information.

Third, introducing AI-driven traffic analysis. Beyond traditional SEO metrics, businesses should build systems to measure and analyze inflows from AI platforms. As Trustpilot's case demonstrates, traffic from AI search can increase dramatically.

Summary

Trustpilot's partnership expansion has made clear the value of "trust data" in the agentic commerce era. In a world where AI agents autonomously make purchase decisions, third-party reviews function as "digital credit information."

Going forward, the key things to watch are which ecommerce giants Trustpilot will sign specific partnerships with, and what form the API provision of review data will take. The company's full-year 2026 results will reveal progress in monetizing AI-related traffic. For e-commerce businesses, it is time to start preparing to be "found by AI and trusted by AI."

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