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Elicit vs Litmaps

A detailed comparison of Elicit and Litmaps. Find out which AI Research solution is right for your team.

📌Key Takeaways

  • 1Elicit vs Litmaps: Comparing 6 criteria.
  • 2Elicit wins 4 categories, Litmaps wins 2, with 0 ties.
  • 3Elicit: 4.0/5 rating. Litmaps: 4.6/5 rating.
  • 4Overall recommendation: Elicit edges ahead in this comparison.
Option A

Elicit

4.0

AI research assistant for systematic reviews with paper search, data extraction, and synthesis across 125M+ papers

4 wins
View full review →
Option B

Litmaps

4.6

Research discovery platform with interactive citation maps, seed-based discovery, and collaborative literature review features

2 wins
View full review →

4

Elicit wins

0

Ties

2

Litmaps wins

Feature Comparison

CriteriaElicitLitmapsWinner
Accuracy54Elicit
Source Quality54Elicit
Citation35Litmaps
Depth of Analysis43Elicit
Real-time Data35Litmaps
Ease of Use43Elicit

Detailed Analysis

Accuracy

Elicit

Elicit

Elicit's accuracy capabilities

Litmaps

Litmaps's accuracy capabilities

Comparing accuracy between Elicit and Litmaps.

Source Quality

Elicit

Elicit

Elicit's source quality capabilities

Litmaps

Litmaps's source quality capabilities

Comparing source quality between Elicit and Litmaps.

Citation

Litmaps

Elicit

Elicit's citation capabilities

Litmaps

Litmaps's citation capabilities

Comparing citation between Elicit and Litmaps.

Depth of Analysis

Elicit

Elicit

Elicit's depth of analysis capabilities

Litmaps

Litmaps's depth of analysis capabilities

Comparing depth of analysis between Elicit and Litmaps.

Real-time Data

Litmaps

Elicit

Elicit's real-time data capabilities

Litmaps

Litmaps's real-time data capabilities

Comparing real-time data between Elicit and Litmaps.

Ease of Use

Elicit

Elicit

Elicit's ease of use capabilities

Litmaps

Litmaps's ease of use capabilities

Comparing ease of use between Elicit and Litmaps.

Feature-by-Feature Breakdown

Semantic Paper Search

Litmaps

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 results—even 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.

Researchers discover more relevant papers faster, including studies they would have missed with traditional keyword-based searches

Litmaps

Litmaps' Seed Map feature allows researchers to start with any paper they already know and automatically generate a comprehensive visualization of related literature. By entering a DOI, title, or selecting from search results, the platform's AI analyzes the seed paper's content, citations, and semantic fingerprint to identify and map dozens or hundreds of related papers. The resulting visualization shows papers as nodes positioned by similarity, with connecting lines indicating citation relationships. Users can adjust parameters like time range, similarity threshold, and citation depth to customize the scope of their exploration. This feature is particularly powerful for researchers entering a new field, as it transforms a single known paper into a gateway to understanding an entire research domain. Transforms a single known paper into a comprehensive map of an entire research field, eliminating hours of manual searching and ensuring no important related work is missed.

Transforms a single known paper into a comprehensive map of an entire research field, eliminating hours of manual searching and ensuring no important related work is missed

Both Elicit and Litmaps offer Semantic Paper Search. Elicit's approach focuses on elicit's semantic search capability goes beyond keyword matching to understand the conceptual meaning behind research questions., while Litmaps emphasizes litmaps' seed map feature allows researchers to start with any paper they already know and automatically generate a comprehensive visualization of related literature.. Choose based on which implementation better fits your workflow.

Automated Data Extraction

Litmaps

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 need—such as sample size, study duration, intervention type, primary outcomes, effect sizes, or limitations—and 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.

Transforms weeks of manual data extraction work into hours, enabling more comprehensive systematic reviews with larger paper sets

Litmaps

The Citation Network Analysis feature provides deep insights into how research papers reference and build upon each other over time. Litmaps visualizes both forward citations (papers that cite a given work) and backward citations (papers that a work references), creating a temporal view of how ideas propagate through the scientific community. The platform identifies highly-cited hub papers that serve as foundational works, as well as emerging papers gaining rapid citation momentum. Users can trace the evolution of specific concepts or methodologies through citation chains, understanding how research questions have been refined and answered over decades. The analysis also reveals citation clusters that may indicate distinct research communities or competing theoretical frameworks. Reveals the intellectual lineage and impact trajectory of research ideas, helping researchers identify foundational works and emerging influential papers in their field.

Reveals the intellectual lineage and impact trajectory of research ideas, helping researchers identify foundational works and emerging influential papers in their field

Both Elicit and Litmaps offer Automated Data Extraction. Elicit's approach focuses on elicit's data extraction engine automatically reads through research papers and pulls out structured information based on user-defined columns., while Litmaps emphasizes citation network analysis feature provides deep insights into how research papers reference and build upon each other over time.. Choose based on which implementation better fits your workflow.

Research Synthesis & Summarization

Litmaps

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.

Enables researchers to rapidly develop comprehensive understanding of research landscapes and identify opportunities for novel contributions

Litmaps

The Discover Feed is Litmaps' intelligent recommendation engine that continuously monitors academic databases for new publications relevant to a researcher's interests. Unlike generic alerts based on keywords, the Discover Feed uses the semantic understanding derived from a user's existing maps and saved papers to identify truly relevant new work, even if it uses different terminology. The feed learns from user interactions, becoming more accurate over time as researchers save, dismiss, or explore recommended papers. Notifications can be configured for immediate alerts on high-relevance papers or weekly digests summarizing new literature. This feature ensures researchers stay current without the cognitive burden of manually checking multiple journals and databases. Eliminates the fear of missing important new research by providing personalized, AI-curated updates that improve over time based on user behavior and preferences.

Eliminates the fear of missing important new research by providing personalized, AI-curated updates that improve over time based on user behavior and preferences

Both Elicit and Litmaps offer Research Synthesis & Summarization. Elicit's approach focuses on beyond individual paper analysis, elicit synthesizes findings across multiple papers to identify patterns, consensus views, and contradictions in the literature., while Litmaps emphasizes discover feed is litmaps' intelligent recommendation engine that continuously monitors academic databases for new publications relevant to a researcher's interests.. Choose based on which implementation better fits your workflow.

Citation & Source Verification

Litmaps

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.

Maintains academic integrity and enables researchers to confidently cite findings while quickly verifying AI-extracted information

Litmaps

Collaborative Workspaces enable research teams to build shared knowledge bases and conduct literature reviews collectively. Team members can contribute papers to shared maps, add annotations and notes visible to colleagues, and discuss specific papers within the platform. The workspace maintains a complete history of contributions, allowing teams to see how their collective understanding has evolved. Permission controls enable different access levels for team leads, contributors, and viewers. Integration with institutional single sign-on systems simplifies team management for academic departments and research groups. The feature is particularly valuable for systematic reviews, grant applications, and multi-author publications where comprehensive literature coverage is essential. Transforms literature review from a solitary task into a collaborative effort, ensuring comprehensive coverage while distributing the workload across team members.

Transforms literature review from a solitary task into a collaborative effort, ensuring comprehensive coverage while distributing the workload across team members

Both Elicit and Litmaps offer Citation & Source Verification. Elicit's approach focuses on elicit maintains rigorous academic standards by providing transparent citations and direct links to source documents for all extracted information., while Litmaps emphasizes collaborative workspaces enable research teams to build shared knowledge bases and conduct literature reviews collectively.. Choose based on which implementation better fits your workflow.

Custom Research Workflows

Litmaps

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.

Adapts to diverse research needs from quick literature scans to comprehensive systematic reviews requiring PRISMA-compliant documentation

Litmaps

Litmaps provides comprehensive export capabilities that integrate seamlessly with researchers' existing workflows and tools. Maps can be exported as high-resolution images suitable for publications, presentations, and grant applications, with customizable styling options for different contexts. Citation data exports in multiple formats including BibTeX, RIS, and EndNote, enabling direct import into reference management software like Zotero, Mendeley, and EndNote. The platform also offers API access for programmatic integration with institutional repositories, research information systems, and custom analysis pipelines. CSV exports of paper metadata support further analysis in spreadsheet applications or statistical software, while PDF exports create shareable reports summarizing map contents and key findings. Ensures that insights discovered in Litmaps flow seamlessly into publications, presentations, and other research tools without manual data re-entry or format conversion.

Ensures that insights discovered in Litmaps flow seamlessly into publications, presentations, and other research tools without manual data re-entry or format conversion

Both Elicit and Litmaps offer Custom Research Workflows. Elicit's approach focuses on elicit supports flexible research workflows that adapt to different research methodologies and project requirements., while Litmaps emphasizes litmaps provides comprehensive export capabilities that integrate seamlessly with researchers' existing workflows and tools.. Choose based on which implementation better fits your workflow.

Strengths & Weaknesses

Elicit

Strengths

  • Semantic Paper Search: Elicit's semantic search capability goes beyond keyword matching to understand the conceptual meaning behind research questions. When users enter a qu...
  • Automated Data Extraction: Elicit's data extraction engine automatically reads through research papers and pulls out structured information based on user-defined columns. Resear...
  • Research Synthesis & Summarization: Beyond individual paper analysis, Elicit synthesizes findings across multiple papers to identify patterns, consensus views, and contradictions in the...
  • Citation & Source Verification: Elicit maintains rigorous academic standards by providing transparent citations and direct links to source documents for all extracted information. Ev...
  • Custom Research Workflows: Elicit supports flexible research workflows that adapt to different research methodologies and project requirements. Users can create custom extractio...

Weaknesses

  • AI-generated content requires human review to ensure accuracy and brand voice consistency.
  • Initial setup and integration may require technical resources or onboarding support.
  • Feature depth means users may not utilize all capabilities, potentially reducing ROI for simpler use cases.

Litmaps

Strengths

  • Seed Map Generation: Litmaps' Seed Map feature allows researchers to start with any paper they already know and automatically generate a comprehensive visualization of rel...
  • Citation Network Analysis: The Citation Network Analysis feature provides deep insights into how research papers reference and build upon each other over time. Litmaps visualize...
  • Discover Feed: The Discover Feed is Litmaps' intelligent recommendation engine that continuously monitors academic databases for new publications relevant to a resea...
  • Collaborative Workspaces: Collaborative Workspaces enable research teams to build shared knowledge bases and conduct literature reviews collectively. Team members can contribut...
  • Export and Integration: Litmaps provides comprehensive export capabilities that integrate seamlessly with researchers' existing workflows and tools. Maps can be exported as h...

Weaknesses

  • AI-generated content requires human review to ensure accuracy and brand voice consistency.
  • Initial setup and integration may require technical resources or onboarding support.
  • Feature depth means users may not utilize all capabilities, potentially reducing ROI for simpler use cases.

Industry-Specific Fit

IndustryElicitLitmapsBetter Fit
Academic ResearchElicit 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.Academic researchers across all disciplines represent Litmaps' primary user base. The platform addresses the fundamental challenge of staying current with exponentially growing literature while conducting thorough literature reviews for publications, dissertations, and grant applications. Researchers use Litmaps to establish the novelty of their contributions, identify methodological precedents, and ensure comprehensive citation of relevant prior work—all critical for successful peer review and academic credibility.Tie
Healthcare & Medical ResearchHealthcare professionals and medical researchers use Elicit to synthesize clinical evidence, conduct systematic reviews for clinical guidelines, and evaluate treatment efficacy across studies. The platform's ability to extract specific clinical data points like patient populations, intervention protocols, and outcome measures makes it invaluable for evidence-based medicine. Hospital research departments and medical schools use Elicit to train residents in systematic review methodology while dramatically reducing the time required for comprehensive literature analysis.Medical researchers and healthcare institutions use Litmaps to conduct systematic reviews, develop clinical guidelines, and stay current with rapidly evolving treatment protocols. The platform's ability to comprehensively map literature around specific conditions, interventions, or patient populations supports evidence-based medicine initiatives. Hospital research departments and medical schools integrate Litmaps into their research infrastructure to improve literature review quality and efficiency.Tie
Pharmaceutical & BiotechnologyPharmaceutical companies and biotech firms use Elicit to accelerate drug discovery research, conduct competitive intelligence on research pipelines, and prepare regulatory submissions requiring comprehensive literature reviews. R&D teams leverage the platform to quickly survey existing research on drug targets, identify potential safety signals in published literature, and track developments in therapeutic areas. The efficiency gains are particularly valuable given the high cost of researcher time in these industries.Pharmaceutical and biotech companies leverage Litmaps for drug discovery research, competitive intelligence, and regulatory documentation. R&D teams use the platform to map the scientific landscape around specific therapeutic targets, identify promising research directions, and track competitor publications. The ability to visualize connections between basic research and clinical applications accelerates translation from bench to bedside while ensuring thorough prior art documentation for patent applications.Tie
Policy Research & Think TanksPolicy researchers and think tank analysts use Elicit to rapidly synthesize academic evidence on policy-relevant topics. When preparing briefings for policymakers or comprehensive policy reports, researchers can use the platform to survey hundreds of studies on topics like education interventions, environmental policies, or economic programs. The ability to quickly identify consensus findings and areas of disagreement helps produce more nuanced, evidence-based policy recommendations.Not specifiedElicit
Technology & AI ResearchTechnology companies and AI research labs use Elicit to track the rapidly evolving landscape of computer science and machine learning research. With thousands of new papers published monthly on platforms like arXiv, manual tracking is impossible. Elicit helps research teams identify relevant advances, understand methodological innovations, and ensure their work appropriately cites and builds on prior art. The platform is particularly valuable for preparing patent applications and technical documentation.Not specifiedElicit
Environmental ScienceEnvironmental researchers and sustainability consultants use Elicit to synthesize research on climate change, conservation, pollution, and environmental policy. The platform helps researchers conducting environmental impact assessments survey relevant literature efficiently, and supports meta-analyses that aggregate findings across ecological studies. Conservation organizations use Elicit to prepare evidence-based recommendations for habitat protection and species management.Environmental researchers and sustainability consultants use Litmaps to navigate the interdisciplinary literature spanning ecology, climate science, economics, and policy. The platform's ability to reveal connections across traditionally siloed disciplines is particularly valuable for addressing complex environmental challenges that require integrated understanding. Conservation organizations and environmental agencies use Litmaps to ensure their strategies reflect the latest scientific evidence.Tie
Social SciencesResearchers in psychology, sociology, economics, and political science use Elicit to conduct systematic reviews and meta-analyses that are increasingly required for publication in top journals. The platform's ability to extract study characteristics like sample sizes, methodologies, and effect sizes accelerates the preparation of quantitative literature syntheses. Social science researchers also use Elicit to ensure comprehensive coverage of relevant literature across disciplinary boundaries.Social science researchers in fields like psychology, sociology, economics, and political science use Litmaps to map theoretical frameworks, methodological approaches, and empirical findings across their disciplines. The platform helps researchers identify how concepts have evolved, which studies have been most influential, and where opportunities exist for novel contributions. This is particularly valuable in fields with extensive theoretical diversity and ongoing methodological debates.Tie
Education ResearchEducation researchers and school district administrators use Elicit to evaluate evidence on educational interventions, teaching methodologies, and learning technologies. When making decisions about curriculum adoption or instructional practices, education leaders can use the platform to quickly survey what research says about effectiveness. Education policy researchers use Elicit to prepare comprehensive reviews that inform state and federal education policy decisions.Not specifiedElicit

Our Verdict

Elicit and Litmaps are both strong AI Research solutions. Litmaps stands out for semantic paper search. Choose based on which specific features and approach best fit your workflow and requirements.

Choose Elicit if you:

  • You operate in Academic Research
  • You prefer Elicit's approach to ai research
  • You prefer Elicit's approach to ai research
View Elicit

Choose Litmaps if you:

  • You need semantic paper search capabilities
  • You need automated data extraction capabilities
  • You operate in Academic Research
View Litmaps

Need Help Choosing?

Get expert guidance on selecting between Elicit and Litmaps for your specific use case.

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Frequently Asked Questions

It depends on your specific needs. Elicit and Litmaps each have strengths in different areas. Compare features, integrations, and pricing to determine which is best for your use case.
In some cases, yes. Many teams use complementary tools together. Check if both platforms offer integrations or APIs that allow them to work together.
Both platforms offer different onboarding experiences. Elicit and Litmaps each have their own setup processes. Most users can get started with either within a few hours.
The main differences are in their approach, feature set, and target use cases. Review the comparison criteria above to see detailed breakdowns of how they differ.
For small teams, consider factors like ease of use, pricing tiers, and the specific features you need most. Both Elicit and Litmaps can work for small teams depending on your priorities.

Sources & Evidence

  • 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.

  • AI-powered interactive knowledge maps that automatically cluster and visualize research papers by semantic similarity and citation relationships

    Source: Litmaps uses proprietary machine learning algorithms to analyze paper abstracts, full-text content, citations, and metadata to create dynamic visual networks showing how research papers relate to each other across multiple dimensions. Unlike traditional citation trees that only show direct references, Litmaps identifies semantic similarities between papers that may not cite each other, revealing hidden connections and parallel research streams. This allows researchers to see entire research landscapes at a glance rather than reading hundreds of papers individually, with users reporting 70-80% reduction in literature review time. The visualization updates in real-time as new papers are published, ensuring researchers never miss relevant new work in their field.

Last updated: January 30, 2026

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