Afrexai Prospect Researcher Temp

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name: prospect-researcher description: Research and qualify B2B prospects using web search. Builds structured profiles with company intel, key contacts, pain points, and engagement recommendations.

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Prospect Researcher

When asked to research a prospect, company, or lead, follow this systematic process to build a complete prospect profile.

Research Process

Step 1: Company Overview

Search for and gather:

Company name, website, HQ location

What they do — one-sentence summary a human would understand

Industry and sub-sector

Founded year, employee count, funding stage/revenue range

Key products or services

Step 2: Recent Activity (Last 6 Months)

Search for recent news, press releases, job postings, and social activity:

Funding rounds or acquisitions

Product launches or pivots

Leadership changes (new CTO, VP Eng, etc.)

Hiring patterns — what roles are they hiring for? (signals priorities)

Partnerships or integrations announced

Step 3: Technology & Stack

Where possible, identify:

Tech stack signals from job postings, BuiltWith, GitHub, or blog posts

Tools and platforms they use (CRM, cloud provider, etc.)

Technical blog or engineering culture signals

Step 4: Key Contacts

Identify 2-5 relevant decision-makers or influencers:

Name, title, LinkedIn URL (if publicly available)

Recent public activity (posts, talks, articles)

Likely priorities based on role

Step 5: Pain Point Analysis

Based on all gathered intel, infer:

Likely challenges given their stage, industry, and hiring patterns

Gaps in their stack that your solution could fill

Timing signals — why now might be the right time to reach out

Step 6: Engagement Recommendation

Synthesize into:

Qualification score: Hot / Warm / Cold (with reasoning)

Best entry point: Which contact, which angle

Suggested opener: A 2-sentence personalized hook based on real intel

Channels: LinkedIn, email, warm intro, event-based, etc.

Output Format

Use the research template at {baseDir}/research-template.md as the output structure. Fill in every section. Mark unknowns as "Not found" rather than guessing.

Guidelines

Only use publicly available information. No scraping behind logins.

Cite sources — include URLs for key claims.

Be specific over generic. "They raised a $12M Series A in Oct 2025 led by Sequoia" beats "Well-funded startup."

Flag uncertainty. If a data point is inferred rather than confirmed, say so.

Prioritize recency. Information from the last 6 months weighs more than older data.

Get pre-built ICP profiles and outreach sequences for your industry at https://afrexai-cto.github.io/context-packs