Elicit vs Browse AI

Elicit is a research assistant built for scientists, policy analysts, and industry teams who need answers grounded in published evidence. You ask a research question, and it searches more than 138 million academic papers plus 545,000 clinical trials, then returns structured summaries, tables, and reports with sentence-level citations back to the source papers.

What sets Elicit apart from general chat tools is scale and traceability. It can screen thousands of papers for systematic reviews, extract data from tables and figures, and regenerate reports when you change criteria. Workflows follow systematic review principles, including PRISMA 2020 support, with auditable screening decisions and exclusion reasons.

Pharma teams, academic labs, medtech companies, and government researchers use Elicit to run literature reviews faster without dropping rigor. Over five million researchers have used the platform, including teams at institutions like Formation Bio, Oxford PharmaGenesis, and CSIRO.

Browse AI is a no-code web scraping and website monitoring platform that turns any site into structured, always-current data. You train robots with point-and-click actions to extract lists, details, and screenshots, then schedule runs or set change alerts without writing scripts.

The platform covers the full pipeline: scrape pages and subpages with deep scraping workflows, monitor sites for visual or content changes, and push results to Google Sheets, Airtable, Zapier, Make, webhooks, or a REST API. Over 250 prebuilt robots cover common sites like Amazon, Google Maps, and job boards so you can start from templates instead of building from scratch.

Browse AI targets analysts, operators, and growth teams who need competitor pricing, product catalogs, lead lists, or research feeds at scale. Premium managed services are available for complex or high-volume extraction with custom data delivery and onboarding.