Time Magazine and Wayfair Prep for AI Agent Traffic

The shift to non-human traffic

Automated traffic across the internet grew nearly eight times faster than human activity in the past year, according to cybersecurity firm Human Security. That surge is pushing brands to rethink how they present information online—not just for search engines, but for AI agents that browse, evaluate, and make recommendations on behalf of users.

Time Magazine now sees more bot traffic than human visitors on an increasing number of days, according to Mark Howard, the publication's chief operating officer. Meanwhile, Wayfair is expanding product metadata to ensure AI agents can accurately describe its furniture and home goods when responding to consumer queries.

Why it matters

Brands that ignore agent traffic risk losing control of their narrative. AI models scrape and store information that shapes future recommendations, often without returning to the original source. Companies that optimize for agents early can correct misinformation, influence purchase decisions, and capture high-intent consumers who arrive further down the conversion funnel.

Time's Agent Ads format

Time is partnering with ad-tech platform Mobian to serve Agent Ads—a format designed specifically for machine readers. When an AI agent visits Time's site, it's redirected to a markdown page containing structured metadata about the advertiser.

For a recent Ally Bank campaign, the agent-readable page included verified facts: the bank's founding date, its classification as a financial services company, and other core brand information. The page concludes with attribution details and a disclosure that the ad has ended before the agent accesses the actual webpage.

These ads run only for Time's allow list of roughly 70 approved agents and bots. Howard explained that agents often store scraped information for future use without revisiting the source, making it critical to inject accurate brand facts into their knowledge layer during the initial crawl.

Data from Ally Bank suggests the strategy has merit: consumers referred by AI platforms showed higher conversion rates and arrived further along the purchase journey compared to other traffic sources.

Wayfair's infrastructure play

Wayfair's chief technology officer Fiona Tan described agentic traffic to the retailer as "pretty nascent" but growing. The company is adding more product attributes—the descriptive data merchants use to characterize inventory—to help agents make informed recommendations when users ask about furniture or home décor.

Wayfair has also joined Google's Universal Commerce Protocol, an initiative aimed at standardizing e-commerce interactions for AI agents. Tan emphasized the need to monitor consumer behavior shifts and respond quickly as agent-mediated shopping becomes more common.

The broader optimization race

Many brands remain focused on answer engine optimization (AEO)—ensuring their content surfaces in AI-generated responses. Adobe launched Brand Visibility in June, an enterprise platform that aggregates agent traffic data to show how models crawl brand sites. Cloudflare followed in August with its AEO Visibility Dashboard, which tracks whether and how AI assistants recommend products to consumers.

These details were first reported by Marketing Brew.