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The two biggest open pricing questions from last cycle both resolved: Perplexity published its full enterprise seat ladder…

Read-only snapshot of Autonomous research competitive landscape

Oct 7, 2026 · 2 findings · closed 2 threads · ran 4m 27s

Autonomous Research Tools: Market Map Digest — The Price Ladders Go Public

TL;DR

The two biggest open pricing questions from last cycle both resolved: Perplexity published its full enterprise seat ladder ($40–$325/seat/month) and Lumivero's NVivo AI Cloud shipped with the first published individual prices for an audit-grade vertical research agent (perplexity-deep-research-consumer-agentdocs.perplexity.aihuggingface.coprnewswire.comunite.ai, defensible-research-agent-verticalslumivero.comshop.lumivero.com). Meanwhile Google is about to gut its free tier, pushing the whole market up a paid ladder. The map now has public price points at nearly every layer — and the audit-grade premium is real, measured, and an order of magnitude above consumer.

The audit-grade vertical: "show your work" prices at $770/year

The vertical layer of the market just got its first verifiable willingness-to-pay number, and it's not close to consumer pricing. Lumivero's shop page now lists individual NVivo plans from $520 to $962.50/year, with the AI tier at $770/year — roughly 2.6–4x the $20/month consumer research tier (defensible-research-agent-verticalslumivero.comshop.lumivero.com). The premium is explicitly sold on auditability, not model quality:

"Every AI-generated theme, code, or insight links back to source data through a citation-linked coding trail. Every AI write action requires human approval before it becomes part of your project, and a full audit trail is available so AI-assisted coding can be reviewed the same way manual coding is." — NVivo AI Cloud | Agentic AI qualitative research software

This resolves the open thread from last cycle on the NVivo launch: the Oct 6 individual launch happened on schedule, and the product page confirms "NVivo AI Cloud is available today for individual license subscriptions," with teams and institutions waitlisted until the new year (defensible-research-agent-verticalslumivero.comshop.lumivero.com). That individual-first, institution-waitlisted motion is the mirror image of OpenEvidence's institution-first EHR embed — and for the market map, it proves the citation-linked evidence chain plus human approval gates is a product surface that commands vertical pricing, adoptable by a horizontal orchestrator without owning a corpus.

What to watch: Institutional NVivo pricing when the waitlist opens — if it lands well above $770/seat, the audit-grade premium compounds at the org tier.

Perplexity's enterprise ladder: the destination layer's prices are all public

The consumer deep-research incumbent's enterprise play is no longer opaque. Perplexity's own FAQ now publishes the seat list prices that were missing at the Computer for Enterprise launch:

"Enterprise Pro: Each seat is $40 per month or $400 per year (a discount of approximately 16.7% versus monthly subscriptions)" "Enterprise Max: Each seat is $325 per month or $3,250 per year" — Enterprise Pricing and Billing: Frequently Asked Questions — Perplexity Help Center

The full ladder runs free → Pro $20/mo → Enterprise Pro $40/seat → Enterprise Max $325/seat, with Max carrying 15,000 credits/month per seat versus Pro's 500 — a taste tier, not a workload (perplexity-deep-research-consumer-agentdocs.perplexity.aihuggingface.coprnewswire.comunite.ai). Two structural details matter for the map: no self-serve trials at either enterprise tier (a sales-assisted motion at the top), and the seat-plus-shared-credit-pool metering that makes agent usage a budgeted opex line — the same billing shape as Sakana's per-run pricing and Parallel's per-request CPM. The agent-work meter, not the chat subscription, is becoming the industry's unit of billing.

What to watch: Whether the ~$1.00-per-100-credits overage rate reported by third parties gets confirmed on Perplexity's own pages — that number is what makes the credit pool actually comparable across vendors (perplexity-deep-research-consumer-agentdocs.perplexity.aihuggingface.coprnewswire.comunite.ai).

Google narrows the free lane: one model, two days out

The free-incumbent layer of the map is about to thin out. Multiple outlets report that from October 9, free Gemini accounts get exactly one model — Flash-Lite — with AI Plus ($4.99/mo) losing Pro, AI Pro ($19.99/mo) gaining Deep Think, and AI Ultra holding at $99.99/mo ([watch] Gemini free tier cut to Flash-Lite-only takes effect (Oct 9)). The practical consequence: free-tier Deep Research quality and limits likely degrade immediately, forcing the price-sensitive segment of the research market up the $4.99 → $19.99 → $99.99 ladder. For positioning purposes, this matters because Google has been the marginal-cost pricing anchor in the category — if the free tier becomes a demo rather than a tool, the pressure that held consumer pricing down eases for everyone above it.

What to watch: Whether Deep Research on the free tier is degraded in practice or just gated — the first week of user reports after Oct 9 will tell.

What surprised us

  • The audit premium is measured, not asserted. $770/year individual versus $20/month consumer is the first hard number showing that "defensible chain of evidence" — not speed, not model quality — carries vertical willingness-to-pay (defensible-research-agent-verticalslumivero.comshop.lumivero.com). Hey, Lefty can copy the pattern without owning a corpus.
  • Perplexity's local-first hedge is capped, and the cap is the opportunity. Portable Computer runs 27B-class local models with cloud-only memory — meaning "frontier capability + local control" remains unoccupied even by the vendor hedging toward sovereignty (perplexity-deep-research-consumer-agentdocs.perplexity.aihuggingface.coprnewswire.comunite.ai).
  • The enterprise tiers hide their own funnels. No self-serve trials at either Perplexity enterprise tier means the consumer funnel stops at Pro — a clean signal of where the sales-assisted motion begins, and a gap a self-serve-friendly challenger can exploit (perplexity-deep-research-consumer-agentdocs.perplexity.aihuggingface.coprnewswire.comunite.ai).

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What is the market for autonomous or AI research tools? There's gemini deep research, google scholar, perplexity. Sacra is another research platform. What do all of these tools do? What are their features? Their value prop? Their core technology? Their data and where does it come from? Who do they sell to? what is the pricing/business model? Help me build a market map to see where Hey, Lefty fits and we should position it.