Consensus vs Scholarcy

Consensus

Consensus Search revolutionizes academic research by enabling users to ask natural language questions and receive synthesized, evidence-based answers drawn from millions of peer-reviewed papers. The AI-powered search engine goes far beyond traditional keyword matching—it understands research context, interprets scientific methodology, and identifies relevant findings even when papers use different terminology. When a user asks a question like 'Does meditation reduce anxiety?', the system analyzes hundreds of relevant studies, extracts their conclusions, and presents a coherent synthesis showing what the collective research indicates. Each answer includes the Consensus Meter visualization showing agreement levels, plus direct links to source papers for verification. The search also highlights key findings from individual studies, showing sample sizes, methodologies, and statistical significance to help users evaluate evidence quality. Transform hours of manual literature review into seconds of AI-powered research synthesis with fully cited, verifiable answers

✓ Transform hours of manual literature review into seconds of AI-powered research synthesis with fully cited, verifiable answers

Scholarcy

Scholarcy's flagship feature automatically generates comprehensive summary flashcards from any uploaded research paper or article. The AI extracts and organizes information into clearly labeled sections including background context, research objectives, methodology, key findings, and conclusions. Each flashcard is interactive, allowing users to expand sections for more detail, view extracted figures and tables, and navigate directly to specific sections of the original document. The system understands academic paper structure and adapts its extraction approach based on the document type—whether it's a systematic review, empirical study, or theoretical paper. Reduces paper assessment time from 30-60 minutes to just 3-5 minutes while retaining critical information.

✓ Reduces paper assessment time from 30-60 minutes to just 3-5 minutes while retaining critical information

Consensus

Study Insights provides AI-generated summaries of research papers that extract and highlight the most critical information without requiring users to read entire publications. The machine learning models are trained to identify paper structure and extract key elements including research questions, methodology, sample characteristics, primary findings, statistical results, and author conclusions. Each summary is structured consistently, making it easy to quickly compare findings across multiple papers. The system also identifies and highlights limitations acknowledged by researchers, potential conflicts of interest, and funding sources—critical context often buried in paper text. For quantitative studies, key metrics and statistical significance values are prominently displayed, helping users quickly assess the strength of findings. Understand the essential findings, methodology, and limitations of any research paper in minutes rather than hours

✓ Understand the essential findings, methodology, and limitations of any research paper in minutes rather than hours

Scholarcy

The Scholarcy browser extension seamlessly integrates with Chrome and other major browsers, enabling users to generate summaries of research papers directly from publisher websites, preprint servers like arXiv, and academic databases. When encountering a paper online, users simply click the extension icon to instantly receive a summary flashcard without leaving their browser or manually downloading PDFs. The extension recognizes when users are viewing academic content and offers one-click summarization, making it effortless to quickly assess papers during online research sessions. Enables instant paper summarization during web browsing without disrupting research workflow.

✓ Enables instant paper summarization during web browsing without disrupting research workflow

Consensus

The Consensus Meter is Consensus's signature feature that visually represents the level of scientific agreement on any research question. When users search for a topic, the meter displays the percentage of studies that support, oppose, or show mixed results on the question at hand. This visualization transforms the abstract concept of 'scientific consensus' into an immediately understandable graphic. The meter is powered by AI that reads and classifies findings from relevant papers, categorizing each study's conclusions and aggregating them into an overall consensus view. Users can click through to see which specific papers support each position, enabling deeper investigation of why certain studies reached different conclusions. This feature is particularly valuable for contested topics where understanding the weight of evidence—not just individual studies—is crucial. Instantly understand whether scientific research supports, opposes, or is divided on any topic without manually reviewing dozens of papers

✓ Instantly understand whether scientific research supports, opposes, or is divided on any topic without manually reviewing dozens of papers

Scholarcy

Scholarcy automatically extracts all references cited within a paper and presents them in an organized, clickable format. The system identifies which references are most frequently cited within the text, helping users understand which prior works are most central to the paper's arguments. Each extracted reference includes links to find the full paper online, and users can add interesting references directly to their reading queue. This feature is particularly valuable for literature reviews, as it helps researchers quickly identify seminal works and trace the intellectual lineage of research topics. Accelerates literature discovery by mapping citation networks and highlighting influential source materials.

✓ Accelerates literature discovery by mapping citation networks and highlighting influential source materials

Consensus

The Citation Network feature maps the intellectual lineage of research by visualizing how papers cite and build upon each other over time. Users can explore interactive network graphs showing foundational papers that established key concepts, subsequent studies that replicated or extended findings, and recent developments pushing the field forward. The visualization identifies highly-cited influential papers, research clusters working on related questions, and the evolution of ideas across decades of scholarship. This feature helps researchers understand not just what is known, but how knowledge developed—which early studies were seminal, which findings have been consistently replicated, and which represent emerging areas of investigation. The network also reveals connections between seemingly disparate research areas, enabling interdisciplinary discovery. Trace the evolution of scientific ideas and identify the most influential foundational research in any field

✓ Trace the evolution of scientific ideas and identify the most influential foundational research in any field

Scholarcy

Every paper summarized through Scholarcy is automatically saved to a personal, searchable research library that grows with each use. Users can organize papers into custom collections, add tags and notes, and search across all their summarized papers using keywords, authors, or concepts. The library retains both the summary flashcards and links to original sources, creating a comprehensive knowledge base. This feature transforms Scholarcy from a simple summarization tool into a long-term research companion that helps users build and navigate their accumulated knowledge. Creates a searchable personal knowledge base that compounds in value over time.

✓ Creates a searchable personal knowledge base that compounds in value over time

Consensus

Research Collections enables users to organize discovered papers into custom folders for ongoing research projects, literature reviews, or collaborative team efforts. Users can create hierarchical folder structures, add personal notes and annotations to saved papers, tag papers with custom labels, and share collections with collaborators. The collaboration features support real-time teamwork on literature reviews, with team members able to add papers, comment on findings, and discuss research within the platform. Collections sync across devices, and users can export entire collections to reference management tools like Zotero, Mendeley, or EndNote in standard citation formats. The system also provides collection-level analytics showing research trends, publication dates, and consensus patterns across saved papers. Organize, annotate, and collaborate on research projects with team members while maintaining seamless integration with existing reference management workflows

✓ Organize, annotate, and collaborate on research projects with team members while maintaining seamless integration with existing reference management workflows

Scholarcy

The AI automatically identifies and highlights key concepts, technical terms, and important phrases within each paper summary. These highlighted terms are often linked to definitions or Wikipedia entries, helping users quickly understand unfamiliar terminology without leaving the platform. The system also identifies abbreviations used in the paper and provides their full forms, which is particularly helpful in technical fields where acronyms are prevalent. This feature makes dense academic writing more accessible, especially for researchers exploring new fields or students encountering advanced concepts for the first time. Makes complex academic content more accessible by automatically explaining technical terminology.

✓ Makes complex academic content more accessible by automatically explaining technical terminology

Consensus

Approach: Consensus automates the entire outbound prospecting workflow using AI. The platform identifies ideal customer profiles, enriches contact data from multiple sources, and generates personalized email sequences at scale. Sales teams can set targeting criteria and let the AI handle research, outreach, and follow-ups.

Outcome: 70% time savings on prospecting activities, 3x increase in qualified meetings booked, 50% improvement in email response rates through AI personalization.

Scholarcy

Approach: Scholarcy automates the entire outbound prospecting workflow using AI. The platform identifies ideal customer profiles, enriches contact data from multiple sources, and generates personalized email sequences at scale. Sales teams can set targeting criteria and let the AI handle research, outreach, and follow-ups.

Outcome: 70% time savings on prospecting activities, 3x increase in qualified meetings booked, 50% improvement in email response rates through AI personalization.

Consensus

Approach: Consensus uses AI to automatically qualify and score leads based on firmographic data, behavioral signals, and engagement patterns. The system continuously learns from conversion data to improve scoring accuracy and prioritize the highest-value opportunities.

Outcome: 45% increase in lead-to-opportunity conversion, 60% reduction in time spent on unqualified leads, 2x improvement in sales team productivity.

Scholarcy

Approach: Scholarcy uses AI to automatically qualify and score leads based on firmographic data, behavioral signals, and engagement patterns. The system continuously learns from conversion data to improve scoring accuracy and prioritize the highest-value opportunities.

Outcome: 45% increase in lead-to-opportunity conversion, 60% reduction in time spent on unqualified leads, 2x improvement in sales team productivity.