Perplexity, the AI-powered search engine, has abandoned its experimental advertising model, choosing instead to focus on subscriptions and enterprise revenue, citing concerns over user trust and the integrity of its AI-driven search platform. The company, which previously tested ads in 2024, now says it has no plans to reintroduce them, signaling a shift in how it intends to monetize its growing user base.

Ads Were Meant to Fund Sustainable Growth

In November 2024, Perplexity announced it would begin testing ads as a way to fund a sustainable revenue-sharing program with publishers. The company emphasized that its advertising model would not influence the content of the answers users received, and that the ads would be clearly marked as sponsored. The ads were designed to appear as sponsored follow-up questions or as paid media placed to the side of an answer.

Perplexity’s leadership stated that the ads would be generated by its AI technology and not written or edited by brands. The company justified the move as a financial necessity, noting that subscriptions alone did not generate enough revenue to support its expanding publisher program. According to Search Engine Journal, Perplexity handles 780 million monthly queries and has more than 100 million users, with executives estimating annualized revenue of around $200 million.

User Trust Takes Priority Over Monetization

Despite initial plans to test ads, Perplexity has now phased them out entirely. According to the Financial Times, the company has no immediate plans to reintroduce advertising. Executives told the publication that perception plays as crucial a role as policy in maintaining user trust. One executive said, ‘A user needs to believe this is the best possible answer,’ adding that the presence of ads might cause users to question the integrity of responses.

Another executive emphasized that ‘we are in the accuracy business, and the business is giving the truth, the right answers.’ This sentiment reflects a broader concern within the AI sector about how monetization strategies can affect the credibility of platforms that position themselves as sources of reliable information.

Subscription Model as Core to Growth Strategy

Perplexity now views subscriptions as the core of its business model, offering a free tier and paid plans ranging from $20 to $200 per month. The company has also introduced shopping features but does not take a cut of transactions, a move Search Engine Journal described as a sign of caution around revenue models that could create conflicts of interest.

Chris Jones, Managing Director at PSE Consulting, said Perplexity’s decision to step back from advertising reflects a growing awareness across the tech sector of the risks of AI ‘enshittification’—where platforms gradually degrade the user experience in pursuit of monetization. Jones noted that for AI products that rely on users’ trust in their information, even the perception of commercial influence can undermine credibility.

‘By prioritizing subscriptions and enterprise revenue over ads, Perplexity is signaling that long-term trust may be more valuable than short-term yield,’ Jones said. ‘At the same time, it underlines the importance of monetizing commercial outcomes in ways that can scale effectively with usage, rather than relying on ‘aggressive’ ad models. This is a notable departure from the traditional ad-funded internet model and suggests a maturing phase for generative AI.’

Jones also said the decision has implications for fintech and digital platforms, noting that ‘aggressive’ monetization can erode trust quickly and that it is difficult to win it back. He added that while there will not be a single dominant business model for AI, credibility is fast becoming a competitive differentiator.

Perplexity’s change of direction places trust at the heart of its commercial strategy. The company tested ads, measured the reaction, and chose subscriptions as its main source of income. That choice sets it apart from rivals experimenting with sponsored placements and raises a direct question for the sector: Can AI search engines fund growth without advertising, or will commercial pressure return?