AI-powered web research agent that automates data gathering, analysis, and insights to save you hours of manual research work.
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Hundreds of integrations available.
Let AI do the work
Give custom instructions to your agent, all in natural language.
Use-cases
Save hours on market research
Reduce market-research time from weeks to minutes by automating data collection and synthesis. Produce consolidated market insights, competitor analyses, and trend summaries with source citations, enabling teams to focus on strategic decisions instead of manual data gathering.
Accelerate content creation workflows
Produce well-researched articles, reports, and presentations more quickly. Access real-time information, verify facts instantly, and create content backed by credible sources while maintaining accuracy.
Boost lead generation success
Identify prospects with contextual data on company size, industry, technology stack, key decision-makers, and recent news. Use these signals to personalize outreach, referencing product launches, funding, or leadership changes to increase relevance and response rates.
Eliminate information overload stress
Stay informed while minimizing information overload: receive concise executive summaries of complex topics, synthesized insights from multiple sources, and prioritized actionable recommendations that enable faster, more confident decisions.
Scale research operations effortlessly
Handle simultaneous research requests without hiring additional staff. Automate background checks, due diligence, and competitive intelligence gathering, maintaining consistency and thoroughness across projects.
Learn more
Find Sources
Use targeted queries and filters to locate primary and peer‑reviewed sources in two or more trusted databases, such as academic journals, government repositories, and reputable news outlets.
Analyze Sources
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Summarize Findings
For each candidate source, record author, publication date, publisher, URL, and access date; extract the exact claim or data point with page/paragraph reference for citation; assign a reliability tag (high, medium, low) and note any conflicts or limitations.
Benefits
Slash research time with automated source discovery
Automate repetitive searching, filtering, and de-duplication across news, reports, white papers, and academic sources; filter out low-quality results and prioritize authoritative sources, so you begin with a clean, relevant reading list instead of a cluttered tab pile.
Turn long reads into actionable, citable summaries
Automate targeted queries across news, journals, preprints, and web indexes; filter by relevance, authority, and recency, remove duplicates, and deliver a prioritized list of source summaries with clean URLs, author and date metadata for immediate review.
Always-on monitoring and smart alerts
Run parallel queries across news, reports, white papers, and journals, surface de-duplicated, authority-ranked results with relevance scores and clean URLs, and export a prioritized reading list with authors, publication dates, and source links for immediate review.
Extract and structure data for instant analysis
Convert unstructured web pages into clean tables. The agent scrapes and normalizes data points (companies, features, pricing, dates, statistics), de-duplicates entries, and exports to CSV, Sheets, or Airtable, enabling competitive matrices, market landscaping, and trend tracking.
Make confident, evidence-backed decisions
Link each claim to captured source metadata, including URL, author, publication date, and pull quote. Validate links and flag dead or paywalled sources. Produce an annotated bibliography with clean citations and context for fact‑checking, compliance, and executive reports.
Scale research with repeatable playbooks
Create reusable workflows for common tasks, such as competitor teardowns, content topic research, buyer persona discovery, FAQ building, and industry scans. Run those workflows on schedule or on demand so research remains consistent and repeatable across campaigns and teams.
FAQ
What is Web Researcher Agent and how does Web Researcher Agent work?
Web Researcher Agent is an AI web research agent that automates data gathering, source analysis, and insight synthesis to save hours of manual research work; Web Researcher Agent plans queries, browses relevant pages, extracts facts, and compiles findings for decisions, going beyond a simple chatbot through autonomous task execution and tool use for web research workflows.
How does Web Researcher Agent find credible, up-to-date sources for market research and literature reviews?
Web Researcher Agent uses targeted search queries and database filters to identify credible sources, then evaluates each source's authority, publication date, and relevance. The system removes duplicate content and prioritizes peer-reviewed publications and established industry sources. This process creates a curated reading list of current, authoritative materials for market research and academic literature reviews.
Can Web Researcher Agent turn long articles and PDFs into actionable, citable summaries with references?
Web Researcher Agent extracts key takeaways, statistics, quotes, pros and cons, and research gaps from lengthy documents, then produces concise briefs with source links, authors, and publication dates for evidence-backed decisions and annotated bibliographies.
Is Web Researcher Agent's web scraping and data extraction legal and compliant for public web data?
Web Researcher Agent focuses on publicly available data, honors site policies, and follows ethical web scraping best practices—respecting robots directives, rate limits, and terms—so teams can monitor markets and gather facts responsibly.
Can Web Researcher Agent run always-on monitoring and send smart alerts for competitors, products, keywords, or regulations?
Monitors specified sources and keywords on an ongoing basis and issues digests or real‑time alerts when meaningful changes are detected, reducing manual checks and lowering the risk of missing pricing moves, product launches, or regulatory updates.
Can Web Researcher Agent extract and structure web data into tables and export them to CSV, Google Sheets, or Airtable for competitive matrices?
Scrapes web pages, normalizes entities (companies, features, pricing, dates), deduplicates records, and exports structured datasets to CSV, Google Sheets, or Airtable. Output formats support competitive matrices, market landscaping, and trend analysis.
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