Elicit vs Liner: pricing, features and which to choose

Elicit is made by Elicit Research, PBC, an AI company that grew from Ought and focuses on scientific research and evidence-backed decisions. Its product searches academic literature, organizes papers into tables, extracts information, and guides systematic reviews. Elicit announced a $22 million Series A in February 2025 at a reported $100 million valuation, led by Spark Capital and Footwork. The company said it had more than 400,000 monthly researchers at that time, while its homepage later claimed more than five million researchers. Those figures use different dates and definitions. Elicit is active and has expanded from paper search into reports, routines, libraries, and organizational research workflows. This makes it useful for recurring work where teams need a consistent structure for reviewing literature and recording study details.

A normal Elicit workflow begins with a natural-language research question. Search returns relevant papers, after which the user can inspect titles, abstracts, full text, and extracted fields in a table. The user can add columns describing population, intervention, outcome, method, or another question, then export results. Research Reports automate search, screening, extraction, and report writing around a selected question and template. Systematic Reviews provide setup, paper gathering, title and abstract screening, optional full-text screening, data extraction, and a final report. Users can upload PDFs, import from Zotero, save papers in a library, chat with papers, and use a browser extension for institutional full-text access. In practice, the table format helps reviewers compare studies without moving repeatedly between separate documents or tools.

Elicit is strongest for researchers who need structured literature work rather than a general chatbot answer. It can reduce repetitive screening and extraction, but generated fields still need checking against papers, especially for nuanced methods, contradictory findings, and incomplete full text. Compared with Consensus, Elicit offers deeper table extraction and systematic-review workflows. Compared with SciSpace, it emphasizes structured review automation and research reports. Compared with NotebookLM, it searches a large paper corpus rather than relying mainly on user-uploaded sources. Choose Elicit for repeatable literature reviews, academic teams, and research operations; choose a general assistant for broad web research or creative writing. Its main tradeoff is that users gain review structure while accepting plan limits and the need for expert judgment.

Liner is an AI research workspace operated by a company whose principal place of business is in Seoul, South Korea. It serves students, academic researchers, professionals, and developers with web search, Scholar search, writing tools, document analysis, and research agents. The company introduced Deep Research on March 20, 2025, with source discovery, citation checking, and long-form reports. Liner also offers developer access through search, visualization, agent, and Router APIs. Its terms say users retain ownership of submitted content while granting Liner a limited license to operate, promote, improve, and develop its services. Liner does not publish a founding year, user count, employee count, or funding total on the cited pages.

A typical Liner session starts with a question, uploaded file, or academic search request. Deep Research breaks the request into related subtasks, searches multiple sources, and returns a report with references, tables, graphs, and additional findings. Related research calls can run concurrently, which the company says reduces repeated prompting. Users can export findings to PDF, Microsoft Word, OneNote, or text. Scholar emphasizes papers, source reliability, and citation volume, drawing from more than 50 academic sources, while file uploads support questions about personal documents. Developers can call Web Search, Scholar Search, Visualization, Quick Answer Agent, Search Agent, Deep Research Agent, and Visual Answer Agent endpoints. API charges vary by feature and complexity, with requests or tokens deducted from prepaid credits. Pick Liner for cited research workflows involving papers, documents, reports, or developer integrations.

Citations do not eliminate the need to verify important claims. Liner warns that generated material can be inaccurate or biased, and its Deep Research announcement says results vary with query complexity, context length, and data recency. Its privacy update also says submitted content may be shared with third-party service providers to process requests and provide AI-powered features, so users should review the current policy before uploading confidential documents. Perplexity is a closer general web research alternative, while Elicit and Consensus focus more tightly on academic literature. ChatGPT and Claude provide broader document and writing tools. Liner’s API also has published endpoint rates, from Web and Scholar Search to long-form Deep Research Agent requests. Pick Liner for cited web and paper research with file handling, exports, and metered developer endpoints.