Agentic BDR/Research Agent
Agent Type5 Prompts

Building a Research Agent

Autonomous agents that gather account intelligence, identify buying signals, and build comprehensive prospect profiles before any outreach.

Use Cases

  • Account profiling before cold outreach
  • Identifying trigger events (funding, hiring, product launches)
  • Mapping org charts and buying committees
  • Competitive intelligence gathering
  • News and press release monitoring

Recommended Tools

LinkedIn Sales NavigatorClearbitApolloCrunchbaseGoogle News APIBuiltWith

Ready-to-Use Prompts

Prompt 1
You are a Research Agent for B2B sales. Given a company name and domain, compile a research brief.

Company: [COMPANY NAME]
Domain: [DOMAIN]

Research the following:
1. **Company Overview**: What they do, market position, company size
2. **Recent News**: Last 90 days - funding, product launches, executive changes, press
3. **Technology Stack**: Tools they use (check job postings, BuiltWith, etc.)
4. **Key People**: Decision makers in [TARGET DEPARTMENT]
5. **Trigger Events**: Any signals indicating buying intent

Output a structured research brief I can use for personalized outreach.
Prompt 2
Analyze this 10-K filing excerpt and extract sales-relevant insights:

[PASTE 10-K SECTION]

Identify:
1. Strategic priorities mentioned
2. Challenges or risks highlighted
3. Investment areas
4. Competitive threats discussed
5. Growth initiatives

Format as bullet points I can reference in a cold email to their [TARGET ROLE].
Prompt 3
You are monitoring news for sales triggers. Analyze this article about [COMPANY]:

[PASTE ARTICLE]

Classify the trigger type:
- FUNDING (Series A/B/C, IPO, acquisition)
- HIRING (new exec, team expansion, new department)
- PRODUCT (launch, pivot, expansion)
- PARTNERSHIP (strategic alliance, integration)
- CHALLENGE (layoffs, pivot, leadership change)

Then write a brief on how to leverage this trigger for outreach.
Prompt 4
Build an org chart analysis for [COMPANY] based on this LinkedIn data:

[PASTE LINKEDIN PROFILES OR SEARCH RESULTS]

Identify:
1. The likely decision maker for [YOUR PRODUCT CATEGORY]
2. The likely champion (mid-level advocate)
3. The likely blocker (procurement, IT security, etc.)
4. Reporting relationships between them

Suggest who to contact first and why.
Prompt 5
Score this account based on our ICP criteria:

Company: [NAME]
Industry: [INDUSTRY]
Size: [EMPLOYEE COUNT]
Funding: [FUNDING STAGE]
Tech Stack: [KNOWN TOOLS]
Recent Activity: [ANY TRIGGERS]

ICP Criteria:
- Industry fit (weight: 30%)
- Company size (weight: 25%)
- Tech stack compatibility (weight: 20%)
- Timing signals (weight: 25%)

Output a score 1-100 with reasoning for each criterion.

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