Perplexity just made a move that is shaking up the digital advertising market in a way few people saw coming.
Less than two weeks after Digiday first reported on the ads that Time had started running inside the markdown versions of its pages — targeted at AI agents rather than human readers — the AI-powered search platform confirmed it has completely blocked those ads from influencing its search index, labeling the practice as deceptive.
And this is no ordinary block.
In a statement emailed to Digiday, Perplexity’s director of communications, Jesse Dwyer, said the company is continuously working to protect its users from deceptive practices, whether sponsored or not. He was straightforward in warning that publishers adopting deceptive advertising like markdown ads risk a reputational downgrade within Perplexity’s proprietary index, including a direct hit to their trust score.
In practical terms, that means a publication trying to use ads disguised as editorial content to influence the results delivered by Perplexity’s AI agents could end up losing relevance across the entire system — not just having that specific piece of content ignored.
It’s worth noting that Perplexity did not answer questions about how exactly it defines deceptive practices or advertising, nor about how it’s blocking Time’s ads from a logistical standpoint. Time also did not respond to a request for comment.
All of this raises a question no one can clearly answer yet: where does editorial content end and paid content begin when we’re talking about pages consumed by AI agents?
This story goes way beyond a spat between a magazine and a search platform. It touches on something much bigger — the future of how advertising will work in a world increasingly mediated by artificial intelligence. 🤖
Receive the best innovation content in your email.
All the news, tips, trends, and resources you're looking for, delivered to your inbox.
By subscribing to the newsletter, you agree to receive communications from Método Viral. We are committed to always protecting and respecting your privacy.
What exactly was Time trying to do?
To understand the scale of the problem, you need to take a step back and look at what Time was doing before Perplexity made this decision. The magazine had started inserting sponsored messages into the markdown versions of its pages — a simplified text format that AI agents can read, process, and potentially cite as if it were organic information.
The setup is pretty clever. The ad tech company Mobian generates content in a Q&A format based on a brand brief, inserts that material into Time’s markdown pages, and then tracks how frequently AI-powered search engines surface that content — and how favorably. Advertisers like Ally Bank and the Project Management Institute were among the first buyers, with their brand-approved messages placed inside the same markdown version that an agent reads as if it were fact.
The issue here isn’t just technical — it’s also ethical. When a human reader browses a webpage, there are visual cues that help distinguish what’s an ad and what’s genuine journalistic content: labels, different colors, disclaimers, and an entire visual language developed over decades specifically to create that separation. But when the one consuming the content is an AI agent, those visual signals simply don’t exist in the same way.
If the markdown version of a page can be quietly seeded with paid content, users have no way of knowing whether a response reflects a news outlet’s reporting or a client’s brief. That seems to be exactly the logic behind Perplexity’s decision.
Time isn’t the only publication exploring this territory, but it became the central example of this discussion because of the scale and visibility of the initiative. The magazine’s sales team had even started pitching agent-targeted ads to brands that had already converted their own corporate sites to markdown.
How Perplexity identified and responded to the problem
Perplexity didn’t go into full technical detail on how it’s blocking Time’s ads, but according to Digiday‘s reporting, the platform has been preventing all markdown advertising from Time.com from influencing its agents since the practice was first reported. The company’s search and security teams are also working on broader solutions to protect users from markdown ads on a wider scale.
Steven Liss, co-founder of the native advertising platform OpenAds.AI, suggested the block could be something as simple as Perplexity instructing its agents not to retrieve advertising or irrelevant information from Time’s site. In the short term, that would mean sponsored content simply wouldn’t show up in the platform’s search results.
What stands out about this response is how transparently Perplexity communicated the block. Rather than quietly letting Time’s ads be ignored behind the scenes, the platform chose to make the criteria behind its decision public — and signaled that those criteria will apply to any publisher adopting similar strategies.
Perplexity’s decision also answered a question that Time’s own executives had left open. When Time’s chief operating officer, Mark Howard, and Mobian’s co-founder and CEO, Jonah Goodhart, described the product to Digiday, both said it was still too early to know how AI search engines would handle ads embedded in markdown pages. In Howard’s words at the time: we don’t know yet, because this is completely new, and we believe we’re blazing the first trail here.
It’s now clear that Perplexity isn’t going to treat these ads neutrally — and isn’t going to wait for an industry standard before taking action.
The drop in trust score within Perplexity’s proprietary index is a penalty that extends far beyond that specific content. A publisher that loses trust points in the system sees its entire presence on the platform diminished, which means fewer citations, less visibility in responses generated by AI agents, and consequently less referral traffic. 📉
The other side of the coin: who’s defending agent-targeted ads
Not everyone sees markdown ads as a bad thing. Jonah Goodhart of Mobian said the response to agent-targeted ads has been extremely positive so far, based on the conversations he’s had since launch — though he didn’t share any numbers to back that up.
His argument is interesting. According to Goodhart, a model that’s forming a response gets current, sourced, and brand-verified information at the exact moment it consumes the page, and it can choose whether or not to use that content. He even said he finds it curious that Perplexity would block this kind of material, arguing that when models get facts wrong about brands, the people asking the questions end up getting worse answers. In his view, the most accurate and up-to-date facts will earn consumer trust over time.
On the other hand, the risk was flagged from the start. Rob Derow, managing director and partner at BCG X, warned that the biggest danger of markdown ads is the absence of any rules governing how LLMs handle them — and that AI search engines could eventually view the practice as a form of cloaking, that old SEO tactic of showing crawlers different content than what human visitors see.
Time tried to get ahead of this by labeling its agent-targeted ads as sponsored content at the top of the page, even though no policy required it. But Perplexity’s statement suggests the label didn’t make a difference. The platform’s objection is to the practice itself, not to the disclosure.
What this means for the future of AI advertising
This episode between Perplexity and Time is really the first major signal that the digital advertising industry is going to need to create specific rules for the AI agent environment — and it’s going to need to do so with far more urgency than anyone was imagining two years ago.
Analysts and executives in the AI advertising space who spoke with Digiday said they weren’t surprised by Perplexity’s decision, but they also think it’s unlikely the move will slow the evolution of advertising for the agentic web. Robert Webster, a former WPP executive and founder of the AI marketing consultancy TAU, observed that the internet is starting to split into two tracks, with content and advertising designed for both humans and AI agents. Companies, he said, will find ways to monetize new inventory before standards catch up to reality.
Steven Liss pointed out that Perplexity’s decision is consistent with the discomfort AI companies have historically shown toward advertising. He speculated, however, that this stance could end up leading publishers to block Perplexity’s own crawlers — since if publications hit roadblocks in their attempts to monetize traffic from the platform’s bots, the value of that traffic remains uncertain.
Shiv Gupta, founder of the training service U of Digital, noted that other LLMs may follow Perplexity’s lead and block agentic ads from publishers, both to protect user trust and organic AI search results, and to maintain control over how their platforms are monetized.
The deceptive practices that Perplexity identified in Time’s strategy are a symptom of something more structural: the absence of a clear standard for how sponsored content should be tagged so that AI agents can distinguish it from editorial content. As Webster put it, the intent may not be to deceive, but a promotional claim can end up being cited as a neutral fact the moment the sponsored label gets left behind when an agent retrieves the content.
What’s likely to happen from here is that other AI-powered search platforms will start publishing their own policies on the matter, and the market will gradually converge on some kind of shared standard. Publishers that want to maintain a strong presence in the AI search ecosystem will need to adapt their monetization strategies — which will require both creativity and a willingness to let go of practices that were profitable in the short term but clearly aren’t sustainable in this new environment. 🚀
The big takeaway from this case is simple: AI agents are becoming increasingly powerful intermediaries between content and the end user, and any attempt to manipulate that layer without transparency is going to face growing resistance from the platforms that control those agents.
The episode with Time will be remembered as one of the first milestones of this new era in digital advertising — where the rules of the game are being written right now, in real time, and where the decisions publishers and platforms make today will define the standards the entire industry follows for years to come.
