25 Perplexity AI statistics that define AI search

This roundup covers 25 verified Perplexity statistics for 2026, drawn from third-party analytics, CEO public statements, and independent research. Each stat is interpreted for what it means in practice, not just what it says on the surface. Those numbers matter not just as a startup story but as a signal about where buyer research is happening and which channels brands can no longer afford to ignore.

Key takeaways

• Perplexity crossed 100 million MAUs in early 2026, up from 30 million in April 2025, a 3x increase in under a year.
• The platform processed 780 million queries in May 2025 alone, growing more than 20% month-over-month at that point.
• Average session length is 23 minutes per visit, with 4.64 pages viewed per session, indicating deep research behavior rather than quick lookups.
• The DAU/MAU ratio sits at approximately 6%, meaning a meaningful share of users have formed a daily research habit on the platform.
• Annual recurring revenue doubled to $200 million between early and late 2025, one of the fastest monetization trajectories in AI.
• Perplexity scores 93.9% on SimpleQA, exceeding many leading LLMs on factual accuracy, which drives professional and enterprise adoption.
• Monthly website visits range from 155 to 240 million as of mid-2026, placing Perplexity in the same traffic tier as established consumer internet properties.

User growth and adoption

1. Perplexity had 2 million monthly active users in March 2023

The starting point matters for understanding the scale of what followed. Two million MAUs in early 2023 positioned Perplexity as a promising niche tool, primarily used by researchers, developers, and early AI adopters. That cohort became the foundation for everything that came after.

The 2M to 100M MAUs growth happened in roughly 36 months. Few consumer internet products have moved that fast from launch to nine-figure user scale.

2. Monthly active users reached 10 million by January 2024

Ten months after the 2 million baseline, Perplexity had quintupled its user base. That pace reflects a product that was solving a real problem: getting direct, sourced answers rather than a list of links to click through.

The jump from 2M to 10M coincided with broader public awareness of AI tools following the ChatGPT wave. Perplexity benefited from that awareness while differentiating on real-time search and citation transparency.

3. The platform surpassed 30 million monthly active users by April 2025

Tripling from 10 million to 30 million took about 15 months. The 10M to 30M MAUs trajectory shows that growth did not plateau after the initial AI enthusiasm wave. Users who tried the product kept coming back, and new users kept arriving.

This phase also saw Perplexity expand its feature set significantly, including the launch of Pro subscriptions, enterprise offerings, and integrations with third-party applications.

4. Perplexity crossed 100 million monthly active users in early 2026

The jump from 30 million to 100 million took roughly nine months, faster than any previous phase. Sacra's April 2026 analysis, cited alongside CEO Aravind Srinivas's public statements, confirms that MAUs across all Perplexity surfaces, including search and the "Computer" agent product, surpassed 100 million.

Crossing 100 million MAUs puts Perplexity in the same order of magnitude as mainstream consumer internet platforms. That scale changes the platform's leverage in enterprise sales, infrastructure negotiations, and developer ecosystem development.

5. Approximately 2 million users return to Perplexity every single day

Daily active users sit at roughly 2 million, producing a DAU/MAU ratio of about 6%. For a productivity and research tool, that ratio is meaningful. Consumer social apps often target 20-30% DAU/MAU ratios, but research tools operate differently: users come when they have a problem to solve, not to scroll.

The 6% figure also represents a floor. As Perplexity expands into daily workflows through integrations and agent products, that ratio has room to grow substantially.

6. Roughly 1 in 15 monthly users comes back every single day

Framed differently, the 1-in-15 return rate signals that a core segment of the user base has made Perplexity a default tool rather than an occasional resource. That behavioral pattern is what drives subscription conversion and enterprise adoption. Users who return daily are the ones most likely to pay for Pro features and recommend the platform to colleagues.

Search query volume and trends

7. Perplexity processed 780 million queries in May 2025

CEO Aravind Srinivas confirmed the 780 million queries publicly, noting that the platform was growing more than 20% month-over-month at that point. At 780 million monthly queries, Perplexity is operating at genuine search-engine infrastructure scale: roughly 26 million queries per day, or about 300 per second sustained.

For a company founded in 2022, that workload requires the kind of infrastructure investment typically associated with established search players.

8. The platform processes over 100 million search requests per week

Weekly query volume exceeding 100 million requests aligns with the monthly figures and confirms that Perplexity's query load is consistent rather than driven by occasional spikes. Sustained weekly volume at this level indicates habitual use across a large user base, not viral moments that fade.

9. Perplexity served more than 500 million total queries during all of 2024

The full-year 2024 figure of 500 million total queries provides useful context for the acceleration that followed. By May 2025, the platform was processing that same volume in under a single month. The compression of that timeline illustrates how quickly the query flywheel accelerated once the user base reached critical mass.

10. Daily query volume reached 30 million, with each daily user averaging 15 to 20 queries per session

CEO Srinivas confirmed 30 million daily queries at Bloomberg's Tech Summit. Dividing that figure by the estimated 2 million daily active users produces an average of 15 to 20 queries per user per day. That is not a single lookup. That is an extended research session, the kind of behavior that drives subscription value and makes Perplexity genuinely useful for professional knowledge work.

AI model performance and accuracy

11. Perplexity scores 93.9% on the SimpleQA benchmark

Factual accuracy is what separates a research tool from a chatbot. A 93.9% on SimpleQA places Perplexity above many leading LLMs on a benchmark specifically designed to test factual question-answering rather than fluency or style.

For professional users and enterprise buyers, accuracy is the primary purchase criterion. A score above 90% on a QA benchmark provides a defensible, quantified reason to choose Perplexity over alternatives that score lower.

12. Perplexity launched Advanced Deep Research and open-sourced the DRaCo benchmark in 2025

Beyond single-query accuracy, Perplexity moved into multi-step research evaluation in 2025. The DRaCo benchmark was designed to evaluate how well AI agents handle complex, multi-step research tasks rather than isolated questions.

Open-sourcing the benchmark is a strategic signal: Perplexity wants to be judged on research depth and reliability, not just single-query performance. That positions the platform for enterprise and professional use cases where research quality, not speed, is the differentiator.

Market share and competitive position

13. Perplexity ranked 268th globally by website traffic as of May 2025

A global rank of 268 by website traffic, achieved just a few years after launch, places Perplexity in the same tier as many established consumer internet properties. Most search challengers never reach the top 500 globally. Perplexity crossed that threshold while still in its hypergrowth phase.

14. Monthly website visits reached 153 million in May 2025

The traffic volume behind that ranking: 153 million visits in May 2025, measured by Similarweb. Nine-figure monthly visits confirm that Perplexity's competitive foothold is not a niche phenomenon. It is a mainstream traffic destination.

15. Monthly visits fluctuated between 155 million and 240 million through mid-2026

Traffic variability is normal for any platform, but the range of 155 to 240 million through mid-2026 shows that even in slower months, Perplexity maintains a high baseline. The floor is rising. That is the more important signal than any single month's peak.

16. Perplexity recorded 170 million website visits in January 2026

January 2026 produced 170 million visits, a figure that reflects continued growth from the May 2025 baseline of 153 million. The year-over-year trajectory from these data points shows consistent upward movement rather than a plateau.

User engagement and retention

17. The average Perplexity user spends 23 minutes and 10 seconds per visit

Twenty-three minutes is not a search session. It is a research session. The 23-minute average, measured by Similarweb, indicates that users are not getting one answer and leaving. They are iterating, exploring sources, and following threads of inquiry.

For brands, this engagement depth has a direct implication: a user spending 23 minutes researching a category is a high-intent buyer. Being cited in that session matters more than being visible in a two-second Google lookup.

18. Users view an average of 4.64 pages per visit

Multi-page sessions reinforce the research-behavior pattern. 4.64 pages per visit means users are navigating follow-up questions, reviewing cited sources, and refining their search within the platform. That is the engagement pattern of a tool people trust to help them think, not just retrieve.

19. Bounce rate sits between 31.65% and 42.19% depending on the analytics source

The range reflects differences between Similarweb and other tracking methodologies, but both figures land well below the 50-60% bounce rates typical of many websites. A sub-42% bounce rate combined with 23-minute sessions and 4.64 pages per visit paints a consistent picture: most users who arrive find what they need and keep exploring.

20. The DAU/MAU ratio is approximately 6%, with roughly 2 million daily active users out of 30 million monthly

The 6% DAU/MAU ratio is the honest engagement metric. It shows that Perplexity has built genuine daily habit among a core segment while still having substantial room to deepen that habit across the broader monthly user base. Increasing this ratio is the platform's primary retention challenge and its biggest monetization lever.

Revenue and business metrics

21. Perplexity generated approximately $100 million in annual recurring revenue in early 2025

Reaching nine-figure ARR just a few years after launch places Perplexity among the fastest-monetizing AI companies. The $100 million ARR in early 2025 validated that users were willing to pay for better answers, not just use the free tier.

That willingness to pay, in a market where Google Search is free, is the clearest signal of perceived value. Users paying $20 per month for Pro access are making an explicit statement about the quality gap they perceive between Perplexity and free alternatives.

22. Annual recurring revenue doubled to approximately $200 million by late 2025

Doubling ARR in a single year is exceptional by any standard. The $100M to $200M ARR trajectory between early and late 2025 reflects both subscription growth and expanding enterprise contracts. Most SaaS companies target 100-150% year-over-year growth. Perplexity hit that target while simultaneously scaling user base and query volume.

The revenue doubling also signals that monetization is not cannibalizing growth. Users are converting to paid tiers without the free product losing its appeal as a top-of-funnel acquisition channel.

Geographic and demographic distribution

23. The United States accounts for the largest share of Perplexity's web traffic

Traffic concentration in the U.S. reflects both the platform's English-language origins and the higher baseline of AI tool adoption among U.S. knowledge workers. The U.S. dominance in Perplexity's traffic mix means that brands targeting American buyers face the most competitive AI search environment: more users, more queries, and more citations being assigned to competitors.

24. Perplexity's user base skews toward professional and research-oriented demographics

Session length, query depth, and the willingness to pay for Pro subscriptions all point toward a user base that is disproportionately composed of knowledge workers, researchers, students, and professionals. This demographic skew is what makes Perplexity particularly relevant for B2B brands: the people using it are often the same people making or influencing purchase decisions.

Feature usage and capabilities

25. Perplexity's Pro subscription is priced at $20 per month, with enterprise contracts representing the higher-margin revenue tier

The pricing structure reveals the monetization logic. A $20 monthly Pro tier is accessible enough to convert individual professionals while enterprise contracts capture the higher-value organizational buyers. The dual-track model mirrors what worked for tools like Slack and Notion: individual adoption creates organizational demand, which converts into enterprise deals.

What these numbers mean for brands

Perplexity is no longer optional for brand visibility strategy. One hundred million monthly users processing 780 million queries per month is not a niche channel. Brands that treat Perplexity as an experiment are ceding visibility to competitors who are already optimizing for citations in its answers. The platform's traffic baseline, engagement depth, and revenue trajectory all point in the same direction: this is a permanent fixture in the buyer research landscape.

The engagement profile signals high-intent users. Twenty-three minutes per session, 4.64 pages per visit, and a sub-42% bounce rate describe a user who is conducting serious research before making a decision. These are not casual browsers. They are buyers in the consideration phase. Being cited in a 23-minute research session carries more weight than appearing in a two-second Google lookup that ends without a click.

Query volume creates a citation flywheel. More queries mean more opportunities for Perplexity to cite sources, which means more opportunities for brands to appear in answers. But the inverse is also true: brands that are not cited in current answers are being actively excluded from buyer consideration at scale. With 30 million queries per day, the cost of invisibility compounds quickly.

Accuracy positioning changes the content game. Perplexity's 93.9% SimpleQA score and its investment in the DRaCo benchmark signal that the platform rewards credibility and depth over keyword density. Content that gets cited on Perplexity is content that reads like a source: specific claims, named statistics, expert quotations, and structured reasoning. Generic marketing copy does not earn citations. Substantive, well-sourced content does.

Brands trying to earn Perplexity citations need to understand which of their pages are currently being cited and which competitor pages are being cited instead. Track your AI visibility →

Revenue growth validates the business model and signals continued investment. A platform doubling ARR from $100 million to $200 million in a single year is a platform that will keep investing in infrastructure, accuracy, and features. Perplexity is not going to plateau. The flywheel of better answers attracting more users generating more queries improving the model is accelerating. Brands that establish citation presence now are building a position that becomes harder to displace as the platform grows.

The gap between Perplexity and Google requires a separate strategy. Perplexity's engagement patterns, accuracy focus, and research-depth positioning make it fundamentally different from Google Search. Content that ranks on Google may not get cited by Perplexity. The engines evaluate sources differently, weight signals differently, and serve users with different intent profiles. A Google SEO strategy applied to Perplexity without modification will underperform. Brands need dedicated AI monitoring to understand where they stand on each engine and what content changes will move the needle.