Perplexity blocks Time ads built to be read only by AI agents
A first public clash over advertising designed for bots instead of people raises new questions about transparency on the agentic web.
Mariano De Vitto · August 2026
Perplexity has blocked a set of ads that Time reportedly built to be served specifically to AI agents rather than human readers, calling the practice deceptive, in what looks like the first public dispute over advertising designed for bots instead of the people those bots serve.
According to Digiday, the ads were designed to be picked up when AI systems crawled or browsed pages on behalf of users, effectively targeting bots instead of the humans those bots represent. Perplexity's decision marks the first public clash over advertising aimed at AI agents, and it puts a spotlight on whether content served differently to machines than to humans counts as a new form of cloaking, a practice search engines have penalized for years when applied to traditional crawlers.
A New Kind of Cloaking
Cloaking, in the classic SEO sense, means showing one version of a page to a crawler and a different version to a human visitor, a tactic Google has long treated as a guideline violation because it breaks trust in what users actually see once they click through. Perplexity appears to be applying that same logic to agent facing ads, arguing that building content specifically for AI agents rather than the people those agents act for is manipulation dressed up as innovation, not a neutral new ad format.
Time, a legacy publisher experimenting with monetization as AI crawlers and assistants consume more web content, apparently saw agent facing ad units as a new inventory type worth testing, a fairly natural move for a media brand watching traditional pageviews get intercepted by summarizing bots. But Perplexity, which positions itself as an AI answer engine acting on behalf of users, drew a hard line, framing agent only ads as manipulation rather than legitimate innovation. The dispute lands squarely in a gray zone that current ad transparency rules were never written to cover, since existing frameworks assume a human is the one actually reading the page.
Who Counts As The Audience
The bigger question raised by this clash is who counts as the audience when AI agents do the browsing, clicking and summarizing on a user's behalf. If publishers start serving different content, offers or ads to bots than to people, platforms like Perplexity, OpenAI and Google may increasingly police that behavior themselves, since no clear regulatory framework exists yet to govern content built for the agentic web. That self policing role hands a small group of AI platforms outsized influence over what publishers and advertisers are allowed to build going forward.
For marketers, that concentration of power is worth watching closely. A single decision by a platform like Perplexity to block an ad format can effectively kill that format across the open web, without any court, regulator or industry body weighing in, which is a very different enforcement dynamic than the one advertisers are used to with traditional media.
What Marketers Should Do Next
Why it matters: marketing teams experimenting with AI agent targeting should treat this as an early signal, not a green light. Any ad or content variant built specifically for bots risks being flagged as cloaking by the very AI platforms brands need to stay visible on, so transparency with both audiences, human and machine, should be the default assumption going forward. Teams testing agent facing formats should assume the same content should be shown to bots and humans alike, document their intent clearly, and be ready to explain any variation the moment an AI platform asks.
The Signal Brief · Mariano De Vitto — Head of Marketing, Barcelona