DataDome, Botify Partner on Agentic Commerce Control

Why It Matters

Agentic commerce reshapes the buyer journey, so securing AI traffic while preserving visibility is critical for accurate analytics and revenue growth.

Key Takeaways

• 73% consumers used AI assistants; 38% for shopping
• AI bot traffic rose 5.4x in retail 2025
• 80% AI agents fail to declare themselves
• DataDome blocks malicious bots, allows trusted agents
• Botify optimizes content for AI agent discoverability

Pulse Analysis

The rapid adoption of generative AI assistants has turned them into the first point of contact for many shoppers. According to a joint study by DataDome, Botify and Retail Economics, 73 % of consumers have already interacted with an AI assistant, and 38 % used it for product discovery, comparison or recommendation. This shift has driven a 5.4‑times increase in AI‑generated bot traffic to retail sites in 2025 alone, outpacing traditional human visits. As AI agents begin to surface product information before a user ever lands on a merchant’s site, the entire discovery funnel is being re‑engineered around machine‑readable content.

While the opportunity is clear, the security and data‑quality challenges are equally pronounced. Galileo, DataDome’s threat research team, found that 80 % of AI agents fail to self‑declare, leading to inflated referral metrics, skewed marketing analytics and heightened fraud exposure. Retailers that cannot differentiate trusted agents from malicious bots risk making decisions on corrupted data, misallocating spend and eroding consumer trust. Moreover, without structured, metadata‑rich product catalogs, AI agents may simply overlook a brand’s inventory, rendering marketing investments invisible in the AI‑driven search landscape.

The DataDome‑Botify partnership directly addresses these pain points by marrying bot‑trust verification with AI‑search optimization. DataDome’s real‑time detection filters out abusive traffic while preserving legitimate agent access, and Botify’s platform ensures product data is standardized, machine‑readable and optimized for AI consumption. Together they give marketers a unified view of AI traffic quality and a roadmap to secure, AI‑ready commerce. As agentic commerce matures, cross‑functional collaboration between marketing, security, product and engineering will become a prerequisite, and solutions that bridge trust and discoverability are poised to become essential infrastructure for the digital economy.