AI Research Team

An autonomous AI research team that never stops gathering intelligence.

Deploy a system of specialized research agents that monitor markets, track competitors, surface prospect intelligence, and deliver structured findings — without anyone running manual searches.

What it does

Research that runs
while you build.

A well-structured AI research team doesn't just search the web. It monitors sources continuously, synthesizes findings, routes intelligence to the right people, and flags changes that need attention — automatically.

Market intelligence

Agents monitor news, funding announcements, industry reports, and regulatory changes relevant to your market — daily, without manual scanning.

Competitor tracking

Track competitor product updates, pricing changes, job postings, and marketing moves. Get structured digests when something material changes.

Prospect research

Source, qualify, and enrich prospect data at scale. Agents research company context, decision-makers, and relevant triggers before outreach begins.

Trend analysis

Surface emerging topics in your space before they peak. Agents aggregate signal from industry publications, social platforms, and search trends.

Synthesis and reporting

Raw findings are structured, de-duplicated, and delivered as clear reports. You read conclusions, not raw links.

Continuous monitoring

Research doesn't stop after one batch run. Agents stay active, alert you to changes, and keep your intelligence current.

Agent roles

Specialized agents.
One coordinated team.

01

Source Agent

Identifies and monitors the right data sources — industry publications, social feeds, databases, company websites — based on your research scope.

02

Research Agent

Pulls structured information from sources, qualifies relevance, and tags findings by topic, entity, and urgency.

03

Analysis Agent

Synthesizes findings across sources. Identifies patterns, gaps, and outliers. Converts raw data into structured intelligence.

04

Routing Agent

Delivers findings to the right team — competitive intel to product, prospect data to sales, market trends to leadership.

Use cases

What teams use
an AI research team for.

Sales enablement

Give reps prospect context before every call — company news, recent hires, funding, and relevant triggers surfaced automatically.

See related team →

Product strategy

Track what competitors are shipping, what customers are requesting, and what gaps exist in the market — without manual curation.

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Content and SEO

Identify trending topics, keyword gaps, and high-performing competitor content before your content team starts writing.

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Investor and market reports

Compile industry data, funding trends, and competitive landscape summaries into structured reports on a recurring schedule.

See related team →
Build vs. deploy

Pre-built or
fully custom.

AstraGenie lets you deploy a pre-configured research team from the marketplace, or build a custom research workflow using the AI agent builder — specifying exactly which sources to monitor, how findings are structured, and where they're delivered. Research agents are autonomous AI agents coordinated by the same AI agent orchestration layer that powers every team on the platform.

Build a Custom Research Agent →See All Pre-Built Teams
Ready to deploy intelligence?

Your AI research team
starts this week.

Book a 30-minute call. We'll scope your research use case, map the right agent configuration, and have your team running within 7 days.