Elicit vs Consensus vs Perplexity AI (2026)

Elicit

by Elicit Research, PBC

Consensus

by Consensus

Perplexity AI

by Perplexity AI

Pros

• ✓Covers research from search to a cited output: paper search, Research Reports, a Systematic Review workflow that supports PRISMA 2020, and a Research Agent that produces reports, tables, figures and slides.
• ✓Searches over 138 million papers and 545,000 clinical trials, and the Research Agent adds patents, regulatory and biology databases, web sources and uploaded documents.
• ✓Publishes an MCP server and an API on Pro and above, so search, reports and systematic reviews can run inside Claude, ChatGPT and other MCP clients.
• ✓Publishes a SOC 2 Type 2 report on its trust center, and its customer page shows 41 organizations, including NASA, NIH, Harvard, Takeda and Unilever.

Limitations

• ⚠Usage is a single monthly pool that does not roll over, and larger Research Agent sessions and reviews, figure extraction and premium PDF parsing use more of it.
• ⚠The API and MCP server start on Pro at $49 per user per month billed annually, and SSO, SAML and single-tenant deployment are on the quote-based Enterprise plan.
• ⚠Enterprise states no training on customer data by default, and the terms for the Basic, Plus, Pro and Scale plans carry no equivalent training statement.
• ⚠Designed for use in English, and Elicit states that quality in other languages varies widely and that non-English use draws down usage faster.

Pros

• ✓Answers are drawn from the peer-reviewed literature with inline citations, and Citation Grounding shows the exact quote behind every AI citation.
• ✓The Consensus Meter shows how far studies agree on a yes-or-no question, and Deep Search and the Research Agent run multi-step literature research.
• ✓An MCP server and REST API come with paid plans, and Consensus runs as an app inside ChatGPT, Claude and Microsoft 365 Copilot.
• ✓Over 170 university libraries partner with Consensus, and it licenses full text from publishers including Wiley, Sage, Taylor & Francis and AAAS.

Limitations

• ⚠Searches the academic literature rather than the open web, news or company reports, and its default index excludes grey literature.
• ⚠Deep review volume is capped by plan, from 15 a month on Pro to 200 on Deep, and API and MCP use past the included amount costs $0.05 per use.
• ⚠Consensus publishes no third-party security certification, and its privacy policy states it is not subject to the CCPA.
• ⚠The corpus is English-first, and search ranking and summaries are optimized for English queries.

Pros

• ✓Perplexity both publishes MCP servers, one for its search and research tools and one that hands tasks to Computer, and consumes external MCP servers through its Agent API, so it can feed cited research into other AI tools and pull third-party tools into its own runs.
• ✓Paid plans let users choose between frontier models including GPT-6 Sol, Gemini 3.8 Flash, Claude Sonnet 5, Kimi K3, GLM 5.3 and Grok 4.6, and Effort Mode can pick the model and reasoning level for each Computer task.
• ✓Every answer carries inline citations, and Computer extends the same sourcing into Microsoft 365 documents and autonomous multi-step web tasks on all paid plans.

Limitations

• ⚠Perplexity states that its original Sonar Chat Completions API is supported only until September 27, 2026, so developer integrations built on it need migrating to the Agent API.
• ⚠Pro and Max are licensed for personal use only, so business buyers need Enterprise seats from $34 per seat per month billed annually, and SCIM, audit logs and data retention settings start at Enterprise Max or a custom-priced plan.
• ⚠Consumer searches are used to improve Perplexity's models by default and the opt-out must be set manually in account settings, while the no-training commitment applies only to Enterprise plans.