Perplexity AI vs Elicit
A detailed comparison of Perplexity AI and Elicit. Find out which AI Research solution is right for your team.
πKey Takeaways
- 1Perplexity AI vs Elicit: Comparing 6 criteria.
- 2Perplexity AI wins 0 categories, Elicit wins 0, with 6 ties.
- 3Perplexity AI: 4.2/5 rating. Elicit: 4.0/5 rating.
- 4Both tools are evenly matched - choose based on your specific needs.
Perplexity AI
AI-powered search engine that synthesizes web knowledge into cited, conversational answers with follow-up capabilities
Elicit
AI research assistant for systematic reviews with paper search, data extraction, and synthesis across 125M+ papers
0
Perplexity AI wins
6
Ties
0
Elicit wins
Feature Comparison
| Criteria | Perplexity AI | Elicit | Winner |
|---|---|---|---|
| Accuracy | 5 | 5 | Tie |
| Source Quality | 5 | 5 | Tie |
| Citation | 3 | 3 | Tie |
| Depth of Analysis | 4 | 4 | Tie |
| Real-time Data | 3 | 3 | Tie |
| Ease of Use | 4 | 4 | Tie |
Detailed Analysis
Accuracy
TiePerplexity AI
Perplexity AI's accuracy capabilities
Elicit
Elicit's accuracy capabilities
Comparing accuracy between Perplexity AI and Elicit.
Source Quality
TiePerplexity AI
Perplexity AI's source quality capabilities
Elicit
Elicit's source quality capabilities
Comparing source quality between Perplexity AI and Elicit.
Citation
TiePerplexity AI
Perplexity AI's citation capabilities
Elicit
Elicit's citation capabilities
Comparing citation between Perplexity AI and Elicit.
Depth of Analysis
TiePerplexity AI
Perplexity AI's depth of analysis capabilities
Elicit
Elicit's depth of analysis capabilities
Comparing depth of analysis between Perplexity AI and Elicit.
Real-time Data
TiePerplexity AI
Perplexity AI's real-time data capabilities
Elicit
Elicit's real-time data capabilities
Comparing real-time data between Perplexity AI and Elicit.
Ease of Use
TiePerplexity AI
Perplexity AI's ease of use capabilities
Elicit
Elicit's ease of use capabilities
Comparing ease of use between Perplexity AI and Elicit.
Feature-by-Feature Breakdown
AI-Powered Answer Engine
ElicitPerplexity AI
Perplexity's Answer Engine transforms how users find information by processing natural language queries and returning comprehensive, synthesized responses rather than simple link lists. The system executes real-time searches across the web, analyzes multiple sources simultaneously, and generates coherent answers that directly address user intent. Each response includes inline citations numbered and linked to original sources, enabling verification and deeper exploration. The engine understands context, handles complex multi-part questions, and can follow conversational threads for iterative research refinement. Users receive direct answers to complex questions in seconds, eliminating hours of manual research and source compilation.
β Users receive direct answers to complex questions in seconds, eliminating hours of manual research and source compilation
Elicit
Elicit's semantic search capability goes beyond keyword matching to understand the conceptual meaning behind research questions. When users enter a query like 'What interventions reduce anxiety in college students?', the system interprets the underlying research intent and searches across millions of academic papers to find semantically relevant resultsβeven if papers don't contain the exact search terms. The AI understands synonyms, related concepts, and contextual relationships, surfacing papers that traditional keyword searches would miss. Results are ranked by relevance to the specific research question rather than just citation count or recency. Researchers discover more relevant papers faster, including studies they would have missed with traditional keyword-based searches.
β Researchers discover more relevant papers faster, including studies they would have missed with traditional keyword-based searches
Both Perplexity AI and Elicit offer AI-Powered Answer Engine. Perplexity AI's approach focuses on perplexity's answer engine transforms how users find information by processing natural language queries and returning comprehensive, synthesized responses rather than simple link lists., while Elicit emphasizes elicit's semantic search capability goes beyond keyword matching to understand the conceptual meaning behind research questions.. Choose based on which implementation better fits your workflow.
Pro Search Deep Research Mode
Perplexity AIPerplexity AI
Pro Search represents Perplexity's most powerful research capability, designed for complex queries requiring comprehensive analysis across multiple dimensions. When activated, Pro Search performs deeper web crawling, analyzes more sources, and generates longer, more detailed responses with enhanced reasoning. The system asks clarifying questions when queries are ambiguous, ensuring results match user intent precisely. Pro Search excels at comparative analysis, technical deep-dives, and research tasks requiring synthesis of information from diverse source types including academic papers, news articles, and technical documentation. Researchers and professionals can tackle complex, multi-faceted questions that would otherwise require hours of manual investigation.
β Researchers and professionals can tackle complex, multi-faceted questions that would otherwise require hours of manual investigation
Elicit
Elicit's data extraction engine automatically reads through research papers and pulls out structured information based on user-defined columns. Researchers can specify what data points they needβsuch as sample size, study duration, intervention type, primary outcomes, effect sizes, or limitationsβand Elicit will extract this information from each paper in a systematic, tabular format. The system handles variations in how information is presented across different papers and journals, normalizing extracted data for easy comparison. Users can export extracted data to spreadsheets for further analysis or meta-analysis calculations. Transforms weeks of manual data extraction work into hours, enabling more comprehensive systematic reviews with larger paper sets.
β Transforms weeks of manual data extraction work into hours, enabling more comprehensive systematic reviews with larger paper sets
Both Perplexity AI and Elicit offer Pro Search Deep Research Mode. Perplexity AI's approach focuses on pro search represents perplexity's most powerful research capability, designed for complex queries requiring comprehensive analysis across multiple dimensions., while Elicit emphasizes elicit's data extraction engine automatically reads through research papers and pulls out structured information based on user-defined columns.. Choose based on which implementation better fits your workflow.
Collections and Knowledge Organization
Perplexity AIPerplexity AI
Collections enable users to organize their research into themed folders, creating personal knowledge bases that persist across sessions. Users can save individual searches, annotate findings, and build comprehensive research libraries on specific topics. Collections support collaboration features allowing teams to share research, add notes, and build collective knowledge repositories. The system maintains full citation history within collections, making it easy to return to sources and continue research threads. This feature transforms Perplexity from a search tool into a comprehensive research management platform. Research teams can build and maintain organized knowledge bases, ensuring valuable findings are preserved and easily accessible.
β Research teams can build and maintain organized knowledge bases, ensuring valuable findings are preserved and easily accessible
Elicit
Beyond individual paper analysis, Elicit synthesizes findings across multiple papers to identify patterns, consensus views, and contradictions in the literature. The platform can generate summaries that aggregate key findings from dozens of papers, highlighting where studies agree, where they diverge, and what gaps exist in current research. This synthesis capability helps researchers quickly understand the state of knowledge on a topic without reading every paper in detail. The AI identifies methodological trends, common limitations, and emerging research directions across the literature. Enables researchers to rapidly develop comprehensive understanding of research landscapes and identify opportunities for novel contributions.
β Enables researchers to rapidly develop comprehensive understanding of research landscapes and identify opportunities for novel contributions
Both Perplexity AI and Elicit offer Collections and Knowledge Organization. Perplexity AI's approach focuses on collections enable users to organize their research into themed folders, creating personal knowledge bases that persist across sessions., while Elicit emphasizes beyond individual paper analysis, elicit synthesizes findings across multiple papers to identify patterns, consensus views, and contradictions in the literature.. Choose based on which implementation better fits your workflow.
Multi-Model AI Selection
Perplexity AIPerplexity AI
Perplexity Pro subscribers gain access to multiple underlying AI models, allowing them to choose the best engine for specific tasks. Available models include GPT-4, Claude 3, and Perplexity's own optimized models, each with different strengths in reasoning, creativity, and technical accuracy. Users can switch between models mid-conversation or set preferences for different query types. This flexibility ensures optimal results whether users need creative brainstorming, technical analysis, or factual research. The platform continuously adds new models as they become available, keeping users at the cutting edge of AI capabilities. Users can leverage the specific strengths of different AI models without managing multiple subscriptions or platforms.
β Users can leverage the specific strengths of different AI models without managing multiple subscriptions or platforms
Elicit
Elicit maintains rigorous academic standards by providing transparent citations and direct links to source documents for all extracted information. Every data point, quote, or finding extracted by the AI includes a citation to the specific paper and often the specific section where the information was found. Users can click through to verify any extracted information against the original source, ensuring accuracy and enabling proper academic citation. The platform also flags when information is uncertain or when papers contain conflicting claims. Maintains academic integrity and enables researchers to confidently cite findings while quickly verifying AI-extracted information.
β Maintains academic integrity and enables researchers to confidently cite findings while quickly verifying AI-extracted information
Both Perplexity AI and Elicit offer Multi-Model AI Selection. Perplexity AI's approach focuses on perplexity pro subscribers gain access to multiple underlying ai models, allowing them to choose the best engine for specific tasks., while Elicit emphasizes elicit maintains rigorous academic standards by providing transparent citations and direct links to source documents for all extracted information.. Choose based on which implementation better fits your workflow.
Focus Modes for Targeted Search
Perplexity AIPerplexity AI
Focus Modes allow users to constrain searches to specific source types, dramatically improving relevance for specialized queries. Available modes include Academic (searching scholarly papers and journals), YouTube (finding relevant video content), Reddit (surfacing community discussions), and Writing (optimizing for content creation assistance). Each Focus Mode applies specialized ranking algorithms and source filters appropriate to the content type. This feature is particularly valuable for researchers needing peer-reviewed sources, developers seeking community solutions, or content creators looking for multimedia references. Specialized searches return highly relevant results from appropriate source types, eliminating noise from irrelevant content categories.
β Specialized searches return highly relevant results from appropriate source types, eliminating noise from irrelevant content categories
Elicit
Elicit supports flexible research workflows that adapt to different research methodologies and project requirements. Users can create custom extraction templates with specific columns tailored to their research questions, save and reuse search strategies across projects, and organize papers into collections for different aspects of their research. The platform supports iterative refinement of searches and extractions, allowing researchers to progressively narrow focus or expand scope as their understanding develops. Collaboration features enable research teams to share workflows and build on each other's work. Adapts to diverse research needs from quick literature scans to comprehensive systematic reviews requiring PRISMA-compliant documentation.
β Adapts to diverse research needs from quick literature scans to comprehensive systematic reviews requiring PRISMA-compliant documentation
Both Perplexity AI and Elicit offer Focus Modes for Targeted Search. Perplexity AI's approach focuses on focus modes allow users to constrain searches to specific source types, dramatically improving relevance for specialized queries., while Elicit emphasizes elicit supports flexible research workflows that adapt to different research methodologies and project requirements.. Choose based on which implementation better fits your workflow.
Strengths & Weaknesses
Perplexity AI
Strengths
- βAI-Powered Answer Engine: Perplexity's Answer Engine transforms how users find information by processing natural language queries and returning comprehensive, synthesized respo...
- βPro Search Deep Research Mode: Pro Search represents Perplexity's most powerful research capability, designed for complex queries requiring comprehensive analysis across multiple di...
- βCollections and Knowledge Organization: Collections enable users to organize their research into themed folders, creating personal knowledge bases that persist across sessions. Users can sav...
- βMulti-Model AI Selection: Perplexity Pro subscribers gain access to multiple underlying AI models, allowing them to choose the best engine for specific tasks. Available models...
- βFocus Modes for Targeted Search: Focus Modes allow users to constrain searches to specific source types, dramatically improving relevance for specialized queries. Available modes incl...
Weaknesses
- βAI-generated content requires human review to ensure accuracy and brand voice consistency.
- βInitial setup and integration may require technical resources or onboarding support.
- βFeature depth means users may not utilize all capabilities, potentially reducing ROI for simpler use cases.
Elicit
Strengths
- βSemantic Paper Search: Elicit's semantic search capability goes beyond keyword matching to understand the conceptual meaning behind research questions. When users enter a qu...
- βAutomated Data Extraction: Elicit's data extraction engine automatically reads through research papers and pulls out structured information based on user-defined columns. Resear...
- βResearch Synthesis & Summarization: Beyond individual paper analysis, Elicit synthesizes findings across multiple papers to identify patterns, consensus views, and contradictions in the...
- βCitation & Source Verification: Elicit maintains rigorous academic standards by providing transparent citations and direct links to source documents for all extracted information. Ev...
- βCustom Research Workflows: Elicit supports flexible research workflows that adapt to different research methodologies and project requirements. Users can create custom extractio...
Weaknesses
- βAI-generated content requires human review to ensure accuracy and brand voice consistency.
- βInitial setup and integration may require technical resources or onboarding support.
- βFeature depth means users may not utilize all capabilities, potentially reducing ROI for simpler use cases.
Industry-Specific Fit
| Industry | Perplexity AI | Elicit | Better Fit |
|---|---|---|---|
| Academic Research | Perplexity transforms academic research workflows by enabling rapid literature discovery, source verification, and synthesis of scholarly information. Researchers can quickly survey existing work on topics, identify key papers and authors, and understand the current state of knowledge in their fields. The Academic Focus Mode specifically searches peer-reviewed journals and academic databases, ensuring scholarly rigor. Graduate students use Perplexity for thesis research, while faculty leverage it for staying current with rapidly evolving fields and preparing course materials. | Elicit serves as an essential tool for academic researchers across all disciplines who need to conduct literature reviews, prepare grant proposals, or stay current with developments in their fields. PhD students use Elicit to efficiently survey existing literature for dissertation research, identifying gaps their work can address. Faculty researchers leverage the platform to prepare comprehensive review articles and ensure their work builds appropriately on prior findings. The tool is particularly valuable in fast-moving fields where the volume of new publications makes manual tracking impractical. | Tie |
| Technology & Software Development | Software developers and technical professionals rely on Perplexity for rapid access to documentation, debugging assistance, and staying current with evolving technologies. The platform excels at synthesizing information from Stack Overflow, GitHub discussions, official documentation, and technical blogs into actionable answers. Developers use it for learning new frameworks, troubleshooting errors, comparing technology options, and understanding best practices. The ability to ask follow-up questions makes it ideal for iterative problem-solving during development. | Not specified | Perplexity AI |
| Financial Services | Financial analysts and investment professionals use Perplexity for market research, competitive intelligence, and due diligence processes. The platform's real-time search capabilities ensure access to current market data, news, and analysis. Analysts can quickly research companies, understand industry trends, and synthesize information from multiple financial sources. The citation transparency is particularly valuable in regulated industries where information provenance matters for compliance and audit purposes. | Not specified | Perplexity AI |
| Healthcare & Life Sciences | Healthcare professionals and researchers leverage Perplexity for clinical research, drug information, and staying current with medical literature. The platform can synthesize information from medical journals, clinical guidelines, and healthcare databases while maintaining clear source attribution critical for medical decision-making. Pharmaceutical companies use it for competitive intelligence and market research, while clinicians use it for rapid access to treatment protocols and drug interaction information. | Not specified | Perplexity AI |
| Legal Services | Legal professionals use Perplexity for case research, regulatory analysis, and due diligence investigations. The platform's ability to search across legal databases, news sources, and regulatory documents while providing clear citations aligns with legal requirements for source documentation. Attorneys use it for preliminary research, understanding new regulations, and investigating parties in litigation or transactions. The conversational interface allows iterative refinement of complex legal queries. | Not specified | Perplexity AI |
| Media & Journalism | Journalists and media professionals rely on Perplexity for fact-checking, background research, and story development. The platform's transparent sourcing enables verification of claims and identification of primary sources for follow-up. Reporters use it for rapid research during breaking news, understanding complex topics for explanatory journalism, and finding expert sources. The real-time search ensures access to the most current information available. | Not specified | Perplexity AI |
| Marketing & Market Research | Marketing professionals and market researchers use Perplexity for competitive analysis, trend identification, and audience research. The platform can synthesize information about competitors, industry trends, and consumer behavior from diverse sources including news, social media discussions, and industry reports. Marketing teams use it for content research, understanding market positioning, and identifying opportunities. The ability to ask nuanced questions enables sophisticated competitive intelligence gathering. | Not specified | Perplexity AI |
| Education | Educators and students across all levels use Perplexity as a learning and teaching tool. Teachers leverage it for lesson preparation, finding educational resources, and staying current with pedagogical research. Students use it for homework help, research projects, and understanding complex topics. The citation transparency teaches information literacy skills, while the conversational interface supports Socratic learning approaches. Educational institutions appreciate the platform's emphasis on source verification over blind AI trust. | Not specified | Perplexity AI |
Our Verdict
Perplexity AI and Elicit are both strong AI Research solutions. Perplexity AI excels at pro search deep research mode. Elicit stands out for ai-powered answer engine. Choose based on which specific features and approach best fit your workflow and requirements.
Choose Perplexity AI if you:
- βYou need pro search deep research mode capabilities
- βYou need collections and knowledge organization capabilities
- βYou operate in Academic Research
Choose Elicit if you:
- βYou need ai-powered answer engine capabilities
- βYou operate in Academic Research
- βYou prefer Elicit's approach to ai research
Need Help Choosing?
Get expert guidance on selecting between Perplexity AI and Elicit for your specific use case.
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Sources & Evidence
Real-time web search with AI synthesis and transparent source attribution
Source: Perplexity's core differentiator is combining live web search results with AI language models to synthesize answers while displaying all sources used. Unlike ChatGPT (which has knowledge cutoffs) or traditional search engines (which return link lists), Perplexity provides cited, synthesized answers in real-time. This addresses the 'hallucination' problem in AI by grounding responses in current web data with full transparency. Every claim in a Perplexity response includes numbered citations linking to original sources, enabling users to verify information and explore topics further.
Automated paper analysis with AI-powered extraction of key findings, methodologies, sample sizes, and structured data without manual reading
Source: Elicit uses large language models to automatically extract structured information from research papers, allowing users to analyze hundreds of papers in the time it would take to manually read a few. Unlike traditional academic search engines that only return paper titles and abstracts, Elicit reads full-text PDFs and extracts specific data points like study populations, intervention details, outcome measures, and statistical results. This capability has been validated by researchers conducting systematic reviews who report 10x or greater efficiency improvements in their literature review workflows.