How to Build a Competitive Intelligence Dossier with AI Agents

You've been asked to prepare a competitive analysis. So you open a dozen browser tabs, start copy-pasting into a spreadsheet, and three hours later you have something that's already missing the competitor's latest product launch. Sound familiar?

There's a better way. AI agents can automate the entire competitive intelligence workflow — from discovery to deep-dive analysis to a polished executive dossier — in a fraction of the time.

The Pattern: Discover → Fan-Out → Synthesize

This three-step pattern generalizes to any multi-step research workflow. For competitive intelligence, it works like this:

DISCOVER  → Find all relevant sources and appearances
FAN-OUT   → Deep-dive into each source in parallel
SYNTHESIZE → Roll up findings into a single dossier

Step 1: Discovery

Start by telling a research agent to sweep for everything about a competitor:

@Researcher find all online appearances for Acme Corp:
- Company website and blog
- Press mentions and news articles
- Social media presence
- Podcast appearances and interviews
- Job postings (signal of growth areas)
- Product review sites (G2, Capterra)
- GitHub or open-source presence

Write a document titled "Acme Corp - Discovery" listing every 
appearance with URL, date, platform, and a one-line summary.

The agent uses web search, news search, and URL fetching to compile a comprehensive list. You get a structured document with 15-30+ appearances — work that would have taken hours to do manually.

Step 2: Fan-Out (Deep Dives)

For each significant appearance, create analysis sub-tasks:

@Researcher for each entry in the "Acme Corp - Discovery" document,
spawn a subtask to analyze that source. For each one:
- Visit the URL and extract key information
- Note the audience and reach
- Identify key quotes or claims
- Flag any competitive positioning against us
- Rate relevance (high/medium/low)

Update the discovery document with your findings.

If you have multiple agents, assign different sub-tasks to different specialists for faster completion:

@Researcher handle the press and news sub-tasks
@Analyst handle the product review and comparison sub-tasks

Step 3: Synthesis

Roll everything up into an executive-ready dossier:

@Writer create a document titled "Acme Corp - Competitive Dossier" 
based on the discovery document and all deep-dive findings:

1. Executive Summary (3 sentences)
2. Company Overview (size, funding, market position)
3. Product Analysis (features, pricing, positioning)
4. Online Presence Assessment (reach, engagement, sentiment)
5. Competitive Threats (where they beat us)
6. Competitive Advantages (where we beat them)
7. Key Quotes and Claims (with sources)
8. Recommended Actions (what should we do?)

Why This Works

The discover → fan-out → synthesize pattern is powerful because:

• Parallelism — Multiple agents work on different sources simultaneously
• Structured output — Documents serve as the shared artifact between steps
• Auditability — Every finding is linked to its source URL
• Repeatability — Run it again next quarter with the same workflow
• Scalability — Works for one competitor or twenty

Beyond Competitive Intelligence

This same pattern applies to:

• Vendor evaluation — Research vendors, score them against criteria, produce a recommendation
• Market landscaping — Identify all players in a space, profile each, create a market map
• Due diligence — Financial data, news, legal filings → risk assessment
• Content audits — Inventory content, evaluate each piece, produce an action plan

Get Started

Saltare's AI agents make this workflow possible out of the box. Your first research agent is ready the moment you create a workspace — just @mention it and describe what you need.

Get started free →