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SIAIEINAgentic AI
Research and Intelligence Agent

AI Agent

Research and Intelligence Agent

Keeps an eye on your market and brings you structured insights on a regular schedule.

Understanding Research and Intelligence Agent

Most businesses know they should be monitoring their competitors, tracking industry news, and analysing market trends — but nobody has time to do it properly. A Research and Intelligence Agent does this continuously. It scrapes competitor websites for pricing and product changes, monitors industry publications and news feeds, tracks social media sentiment about your brand and your competitors, and compiles everything into a structured intelligence report delivered on whatever schedule you set. You get the insights of a full-time analyst without the headcount.

Core Capabilities

01
Track competitor website and pricing changes
02
Monitor industry news and publications
03
Analyse brand sentiment on social media
04
Generate weekly intelligence reports
05
Identify market opportunities and threats
06
Monitor competitor hiring signals via job postings

How We Deploy It

01

Define Your Intelligence Needs

We work with you to identify which competitors to track, which news sources matter, and what format of report is most useful.

02

Build the Data Collection Layer

We configure the web scrapers, news API integrations, and social monitoring feeds tailored to your industry.

03

Design Report Templates

We build structured report templates so the output is consistent, scannable, and immediately actionable — not walls of raw text.

04

Schedule and Deliver

Reports are delivered to your inbox or Slack on the schedule you set. You can also query the agent ad-hoc for specific questions.

What This Looks Like in Practice

1

Every Sunday night, the agent scrapes 12 competitor websites, checks pricing pages and product updates, and has a competitive intelligence brief ready in the CEO's inbox by 7am Monday.

2

The agent monitors LinkedIn, Twitter, and Reddit for mentions of your brand and your competitors. When negative sentiment spikes about a competitor, it flags it as an opportunity and notifies your marketing team.

3

Before a quarterly business review, the agent generates a complete market analysis report covering competitor moves, industry trends, and relevant regulatory changes in the past 90 days.

Agent Architecture

research-intelligence — agent-architecture

Data Sources

Web / News / Social / APIs

Collection Layer

Playwright + API integrations

LLM Analysis

Summarise and extract insights

Report Builder

Structured output templates

Delivery

Email / Slack / Notion

Technology Stack

OpenAI GPT-4oPythonPlaywright (web scraping)NewsAPITwitter APIPineconeNotion / Slack

Case Study

Context

A mid-size e-commerce company competing against 8 direct competitors in a price-sensitive market.

The Problem

The marketing team had no systematic way to track competitor pricing or promotions. They frequently found out about competitor moves too late, after customers had already switched. A competitor had undercut their flagship product price by 15% and they didn't notice for 3 weeks.

What We Built

We deployed the Research Agent monitoring all 8 competitors. It now detects pricing changes within hours and sends instant alerts. The team credits the agent with helping them respond to a major competitor promotion within 24 hours.

8

Competitors Monitored

Under 2 hrs

Detection Time for Changes

20/week

Analyst Hours Replaced

Interactive Demo

Watch a real step-by-step simulation of this agent completing an actual business task from start to finish.

Want this agent working in your business?

Book a free audit and we will show you exactly how we would deploy this for your specific workflows.