M11 Labs has emerged from stealth with an AI platform aimed at a new problem for digital marketers: whether artificial intelligence can verify the claims brands make about their products. The company introduced its M11 agentic trust platform and OpenMarket, an AI-driven marketplace designed to evaluate product information and recommendations using independently verifiable evidence.

The launch comes as AI increasingly becomes part of the product discovery journey. Instead of relying only on conventional search rankings, consumers can increasingly ask AI systems to compare products, assess options and recommend what to buy. That shift creates a new requirement for brands: making product claims understandable, accessible and verifiable to machines.

M11 Labs says its initial research illustrates the scale of that challenge. Its forthcoming The Trust Gap in Skincare report analyzed more than 600 skincare brands and 15,000 evidence captures in June 2026. The company found that 47% of the brands reviewed lacked independently verifiable evidence supporting claims used to market their products.

The distinction is important. M11 argues that many problematic claims are not necessarily false; rather, the supporting evidence may be inaccessible, disconnected from the claim or difficult for AI systems to interpret. Among the claims reviewed, 58% referenced or implied supporting research that was not publicly available, while only one in 20 associated evidence links directly confirmed the judged claim.

That creates a marketing challenge that sits between SEO, content operations, ecommerce and product data management.

M11's platform approaches the problem through four areas: accuracy, completion, presence and competition. Its agents can check claims against supporting evidence, identify incomplete product information, assess how brands appear across AI interfaces and monitor competing products.

The resulting signals feed into an M11 Commercial Score. The company's supporting products include M11 Pulse for monitoring, M11 Graph for connecting claims with evidence, M11 Proof for evidence development and Command for managing changes through deployment.

The broader market opportunity is substantial. McKinsey estimates AI agents could mediate between $3 trillion and $5 trillion of global consumer commerce by 2030. That makes the information AI systems use to evaluate products potentially as commercially important as the information humans see.

OpenMarket is M11's practical implementation of that idea. Consumers describe what they want, while brand agents compete for recommendations. Claims are checked in real time, and the marketplace uses live catalog information through the Universal Commerce Protocol described by M11.

The approach places M11 in an emerging category alongside broader AI shopping and commerce initiatives from companies such as Google, Amazon, Microsoft, Shopify and Salesforce. However, its focus is narrower: measuring whether product claims can withstand machine-based verification.

For marketing teams, that could eventually mean expanding optimization beyond keywords and web rankings. Product specifications, research, certifications, compliance documentation and structured data may all influence whether an AI system considers a brand credible.

The immediate question is whether AI-mediated shopping will develop quickly enough for this infrastructure to become essential. But as agents take on more of the research and comparison process, machine-verifiable product information is becoming a potentially important part of the modern marketing stack.

Market Landscape:
Agentic commerce remains an emerging market, but adoption is moving beyond experimentation. McKinsey estimates that AI agents could mediate $3 trillion to $5 trillion in global consumer commerce by 2030. Recent industry developments also show growing attention to the infrastructure required for agents to discover products, authenticate themselves and eventually execute transactions. The competitive landscape includes Google, Amazon, Microsoft, Shopify and Salesforce, while companies such as M11 Labs are targeting specialized layers of the emerging ecosystem.

Strategic Outlook:
For marketers, the strategic shift is from optimizing information primarily for human audiences and search engines toward making critical product information machine-readable and independently defensible. Brands with fragmented evidence across product databases, research repositories, compliance systems and ecommerce catalogs may face additional operational work. M11's approach suggests that AI visibility could increasingly depend not just on whether a brand appears in an answer, but on whether its claims can survive automated scrutiny.

Top Insights:

• M11 Labs launched an agentic trust platform and OpenMarket to evaluate product information and recommendations through AI-driven commerce workflows.
• The company's skincare research found 47% of analyzed brands lacked independently verifiable evidence supporting product claims used in marketing.
• McKinsey projects AI agents could mediate $3 trillion to $5 trillion in global consumer commerce by 2030.
• M11's platform connects product claims with supporting evidence, positioning verifiability as an emerging marketing and ecommerce concern.
• OpenMarket reflects a broader industry shift toward AI agents becoming intermediaries between consumers, brands and digital commerce platforms.

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