Perplexity Launches Enterprise Tier with SSO, Audit Logs, and Private Search
Perplexity AI has introduced an enterprise plan with SSO integration, admin audit logs, and a private search mode that keeps queries out of model training pipelines. The tier starts at $40 per seat per month with a minimum of 25 seats.
Original sourcePerplexity AI has moved into the enterprise market with a dedicated tier that addresses the three blockers most IT and security teams cite before approving AI search tools: identity management, auditability, and data privacy. The new plan includes single sign-on (SSO) integration, admin-facing audit logs, and a private search mode designed to ensure that employee queries are not fed back into Perplexity's model training data.
The private search feature is the most substantive differentiator here. Many enterprise buyers have been reluctant to allow staff to use AI assistants for sensitive research precisely because query data can become training signal. Perplexity's explicit commitment to isolating enterprise queries from training pipelines directly addresses that concern, though the technical implementation details — how isolation is enforced, who audits it, what the contractual guarantees look like — have not yet been made fully public.
Pricing is set at $40 per seat per month with a floor of 25 seats, putting the minimum spend at $1,000 per month. That positions the product above individual prosumer plans and squarely in the budget bucket typically controlled by IT or department heads rather than individual contributors. The SSO and audit log features reinforce that this is a sale to the buyer, not the user.
Perplexity has been gaining traction as an AI-native alternative to traditional search, and the enterprise tier represents a deliberate move to capture budget that might otherwise go to Microsoft Copilot, Google Workspace AI features, or enterprise ChatGPT. Whether the product's differentiation — real-time web search with citations, rather than document-grounded retrieval — is compelling enough to win those deals is the open question.
Panel Takes
The Skeptic
Reality Check
“The three features here — SSO, audit logs, private search — are the bare minimum table stakes for any enterprise software deal, not differentiators. The real question is whether Perplexity can hold the line on 'queries don't train the model' when the pressure to improve model quality intensifies and the contractual language in the actual MSA is scrutinized by a real procurement team. What kills this in 12 months isn't a competitor — it's Microsoft bundling Bing-backed AI search into Copilot licenses that enterprise customers already own, making a $1,000/month minimum look like a rounding error on top of redundant spend.”
The Founder
Business & Market
“The buyer here is clearly the IT or department head — SSO and audit logs are signals to procurement, not end users — and that's a smart packaging decision. The $40/seat with a 25-seat floor creates a $1K/month minimum that keeps out the noise while staying below the threshold that triggers a full legal and security review at most mid-market companies. The moat problem is real though: Perplexity's defensibility rests entirely on the quality of real-time web retrieval with citations, and the moment Google or Microsoft closes that gap inside tools companies already pay for, the expansion story evaporates.”
The PM
Product Strategy
“The job-to-be-done is sharply defined — 'let employees use AI search without the security team saying no' — and the three features map directly to the three objections that kill those deals in procurement. What's incomplete is the admin experience itself: audit logs and SSO are only useful if the admin console is actually built out enough to surface actionable data, and Perplexity hasn't shown that product publicly yet. If the admin interface is a data dump with no workflow, IT teams will check the compliance box and then quietly let the seats go unused.”
The Futurist
Big Picture
“The thesis Perplexity is betting on is specific and falsifiable: enterprise knowledge work will increasingly route through real-time web-grounded search rather than document-grounded retrieval, and companies will pay a premium for that distinction over generic LLM chat. That bet only pays off if RAG over internal documents doesn't converge with real-time web retrieval in a single product — and every major platform is actively working to close exactly that gap. The second-order effect worth watching is what enterprise-scale query data, even if not used for training, reveals about competitive intelligence patterns inside organizations that Perplexity could theoretically observe at the aggregate level.”