--- 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." --- # 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