CHEQ vs DataDome

AI Agents Transform Shopping from Circulars to Automated Purchasing

This article explores how AI is reshaping the shopping journey, moving beyond traditional advertising to a future where AI agents act on behalf of consumers. It highlights that 73% of parents plan to use AI in back-to-school shopping, citing a PwC study. The evolution from static ads to predictive, adaptive creative is discussed, with comments from Priti Ohri of Advertible on dynamic creative. The piece also covers conversational AI, referencing Criteo's Prompt Smart Ads, and the transition from assistance to delegation, noting that only 11% of consumers are ready for AI to make purchase decisions. Becky Gundy of CHEQ predicts agents will soon handle purchases end-to-end, emphasizing that advertisers must appeal not only to consumers but also to their AI agents.

• 73% of parents plan to use AI in back-to-school shopping (PwC study, June 2026).
• Only 11% of US consumers are ready to let AI make purchase decisions (Gartner survey).
• Criteo's Prompt Smart Ads use catalog data and prompt-level insights to tailor ad creative.

Introducing DataDome’s AI Key Takeaways Feature: Understand Your Protection at a Glance

DataDome has introduced a new AI Key Takeaways feature that provides users with a quick, at-a-glance understanding of their protection status. This product update is highlighted on the company's blog.

DataDome Joins Experian Agent Trust Ecosystem

Experian, a global data and technology company, announced that DataDome, a leader in bot and agent trust management, has joined its Agent Trust™ ecosystem. This collaboration aims to strengthen trust in agentic commerce by combining Experian's trusted identity foundation with DataDome's continuous intent verification. The partnership creates a layered trust framework that helps businesses verify AI agents' identities and ensure their behavior remains consistent with delegated authority. DataDome integrates directly with Experian's framework, using verified Know Your Agent signals to dynamically assess agent behavior. This allows organizations to make trusted decisions throughout the transaction lifecycle without re-architecting their technology stacks. Together, they aim to enable safe and scalable agentic commerce by stopping malicious or compromised agents in real-time while allowing legitimate transactions to proceed.

• DataDome joins the Experian Agent Trust ecosystem.
• The collaboration combines Experian's identity foundation with DataDome's continuous intent verification.
• DataDome integrates with existing commerce and security infrastructure without requiring re-architecture.

Designing Products for Headless AI Agents

The article discusses the shift from chat-based AI interfaces to headless AI agents that interact with products via APIs without a graphical user interface. It emphasizes the need for service design, API literacy, and careful contract design to accommodate these invisible users. Citing reports from DataDome, Cloudflare, and Fastly, it highlights the rapid growth of AI agent traffic and the importance of designing for failure states, idempotency, and semantic clarity. The author argues that product design must expand beyond screens to include the data contracts and error messages that agents encounter, urging teams to understand agent behavior through traffic analysis and sequence mapping.

• DataDome's AI Traffic Report Q2 2026 counted 17.7 billion AI agent requests in April, May, and June, up 45% from the previous quarter.
• Cloudflare's one-year report found that as of June 2026, 52% of crawler requests were for AI training, up from 22% in spring 2025.
• Fastly reported in June 2026 that AI traffic grew approximately 6.5 times faster than human traffic on its network between January and May.