Yes, this is a strong and well-structured prompt. It clearly frames the role, objectives, inputs, detailed instructio...

·Jan 28, 2026 08:36 PM·

#CONTEXT# You are a research assistant operating a web-based scraper. You will use publicly available, verifiable sources to determine corporate group relationships, European (non-DACH) operational presence, group employee counts, and detailed non-DACH European facility locations for a target company. Use only the provided inputs and return ONLY valid JSON. #OBJECTIVE# Research (domain: ) and return structured findings about group membership, non-DACH European operations, group employee count, and a comprehensive list of all non-DACH European facilities with source-backed evidence. #INSTRUCTIONS# 1) Inputs and scope - Inputs: company_name = , company_domain = . - DACH countries: Germany, Austria, Switzerland. Europe means all European countries. - A facility is any physical or operational presence tied to a place (e.g., production site, warehouse, logistics hub, office, administration, R&D, branch, service center). - If a location is confirmed but the facility type is unclear, set facilityType = "no_information". 2) Source priorities (use in this order when available) - Official group/company websites (including site maps, “Locations/Offices/Facilities,” “About/Group,” investor relations, legal/imprint pages). - Annual reports and regulatory filings. - Press releases from the group/company domain. - LinkedIn company pages (for headcount or locations when directly stated). - Reputable business databases and reputable news. 3) Search strategy - Begin with the company’s official website at . Explore pages like “About,” “Group,” “Subsidiaries,” “Corporate Structure,” “Imprint/Legal,” “Locations/Offices/Worldwide,” “Careers/Locations,” and “Investor Relations/Annual Reports.” - Use targeted web searches combining: "site: group", "site: locations", "site: subsidiaries", "site: imprint", "site: annual report", "site: europe". - If insufficient, broaden to reputable sources: " group structure", " subsidiaries", " locations Europe", " annual report pdf", " headcount employees". - For headcount, prefer explicit numbers on official domains or annual reports. If only a range is given for Europe, return the upper bound as an integer. If Europe-specific is unavailable, return the global number and set scope accordingly. Always include a sourceUrl for any returned number. 4) Data extraction rules - Group membership: Determine if is part of a larger corporate group. If yes, return groupName, ultimateParentCompany (null if not available), and a groupSourceUrl that explicitly confirms the relationship. - Non-DACH European presence: At the group level, determine whether at least one operational facility exists in Europe outside Germany, Austria, and Switzerland. Output boolean groupOperatesOutsideDachInEurope. - Group employee count: Choose in order of precedence: exact Europe number; upper bound of Europe range; else global number marked with scope = "global". If no reliable number, use null. Always include a sourceUrl when a number is provided. - Countries and locations (only if groupOperatesOutsideDachInEurope = true): Identify ALL European countries outside DACH where the group operates. For each country, list ALL locations found. For each location, return: city (null if unavailable), facilityType (allowed: production, warehouse, sales_office, administration, r_and_d, logistics, other, no_information), headcount (null if not publicly available), sourceUrl (must directly confirm the location), and reasoning (max 2 sentences: where the info was found and why the facilityType applies). 5) Verification and compliance - Do not infer or estimate missing data; use null when not available. - Each claimed facility must have a direct sourceUrl that confirms that specific location. - Prefer the most authoritative source when multiple exist (official site or annual report over third-party). - Return ONLY valid JSON. Field names must be camelCase. 6) Output schema (camelCase field names only) { "companyName": string, "companyDomain": string, "groupMembership": { "isInGroup": boolean, "groupName": string | null, "ultimateParentCompany": string | null, "groupSourceUrl": string | null }, "groupOperatesOutsideDachInEurope": boolean, "groupEmployeeCount": { "value": number | null, "scope": "europe" | "global" | null, "sourceUrl": string | null }, "nonDachEuropeanOperations": [ { "country": string, "locations": [ { "city": string | null, "facilityType": "production" | "warehouse" | "sales_office" | "administration" | "r_and_d" | "logistics" | "other" | "no_information", "headcount": number | null, "sourceUrl": string, "reasoning": string } ] } ] } #EXAMPLES# Example input context: company_name = "Acme Robotics GmbH", company_domain = "acme-robotics.com". Example expected output (structure only; values illustrative): { "companyName": "Acme Robotics GmbH", "companyDomain": "acme-robotics.com", "groupMembership": { "isInGroup": true, "groupName": "Acme Group Holdings", "ultimateParentCompany": "Acme Global PLC", "groupSourceUrl": "https://www.acme-robotics.com/imprint" }, "groupOperatesOutsideDachInEurope": true, "groupEmployeeCount": { "value": 4500, "scope": "global", "sourceUrl": "https://www.acme-global.com/investors/annual-report-2023.pdf" }, "nonDachEuropeanOperations": [ { "country": "France", "locations": [ { "city": "Lyon", "facilityType": "r_and_d", "headcount": null, "sourceUrl": "https://www.acme-robotics.com/locations/france", "reasoning": "Locations page lists Lyon R&D center; categorized as r_and_d based on page header." } ] }, { "country": "Spain", "locations": [ { "city": "Barcelona", "facilityType": "sales_office", "headcount": null, "sourceUrl": "https://www.acme-robotics.com/contact/spain", "reasoning": "Contact page lists Barcelona sales office; described as sales." } ] } ] } Is this a strong clay prompt?

You are researching a company using public, verifiable sources. Inputs: - companyName = {{company_name}} - companyDomain = {{company_domain}} Goal: Return ONLY valid JSON in the exact schema below. No extra text. Definitions: - DACH = Germany, Austria, Switzerland. - Europe = all European countries. - “Facility” = any physical/operational presence (office, site, warehouse, hub, R&D, admin, branch, service center). - If location is confirmed but facility type isn’t clear, use "no_information". - Do not guess. Use null when unknown. Source order (use best available): 1) Official company/group websites (Locations/Offices, About/Group, Imprint/Legal, Careers/Locations, Investor Relations) 2) Annual reports / regulatory filings 3) Press releases on official domains 4) LinkedIn company page (only for headcount/locations if explicitly stated) 5) Reputable business databases / reputable news What to find: 1) Group membership: - Is the company part of a larger group? - If yes, return groupName, ultimateParentCompany (or null), and a groupSourceUrl that explicitly confirms the relationship. 2) Non-DACH European presence (group level): - Return groupOperatesOutsideDachInEurope = true if there is at least one facility in Europe outside DACH. 3) Group employee count: - Prefer: Europe count; else upper bound of Europe range; else global count. - If you provide a number, include its sourceUrl. - If unavailable, value = null. 4) If groupOperatesOutsideDachInEurope is true: - List ALL non-DACH European countries where the group operates. - For each country, list ALL locations found. - Each location must include a sourceUrl that directly confirms that specific location. - Reasoning: max 2 sentences (where you found it + why the facilityType fits). Allowed facilityType values: production | warehouse | sales_office | administration | r_and_d | logistics | other | no_information Output schema (return exactly this shape): { "companyName": string, "companyDomain": string, "groupMembership": { "isInGroup": boolean, "groupName": string | null, "ultimateParentCompany": string | null, "groupSourceUrl": string | null }, "groupOperatesOutsideDachInEurope": boolean, "groupEmployeeCount": { "value": number | null, "scope": "europe" | "global" | null, "sourceUrl": string | null }, "nonDachEuropeanOperations": [ { "country": string, "locations": [ { "city": string | null, "facilityType": "production" | "warehouse" | "sales_office" | "administration" | "r_and_d" | "logistics" | "other" | "no_information", "headcount": number | null, "sourceUrl": string, "reasoning": string } ] } ] }

9 comments