Research Business For LinkedIn Targeting
User wants targeting recommendations based on their business.
Analyze a business to derive appropriate LinkedIn targeting recommendations.
What this tool does:
- Analyzes business website URL and description
- Identifies likely target audience based on business vertical
- Recommends seniority levels, job functions, industries, company sizes
- Suggests job titles and interests to search for
Parameters:
- website_url: Business website URL (required)
- business_description: What the business does (optional)
- ideal_customer_description: Who they want to reach (optional)
- competitors: List of competitor names/websites (optional)
Returns:
- Recommended seniority URNs (copy directly)
- Recommended company size URNs (copy directly)
- Industry recommendations
- Job function recommendations
- Job title suggestions (use with search_linkedin_targeting)
- Interest suggestions
Example Prompts:
- “Suggest LinkedIn targeting for my marketing SaaS”
- “Who should I target for my HR software on LinkedIn?”
- “Help me set up LinkedIn targeting for my B2B product”
Execution time: 1-2 seconds
Authorizations
API key from https://adspirer.ai/keys. Prefix sk_live_. Treat as a secret — never commit.
Headers
Client-generated UUID to make writes idempotent. Strongly recommended for write tools. A repeat call with the same key returns the cached result instead of re-executing. Example: 550e8400-e29b-41d4-a716-446655440000
Body
All tool arguments are wrapped in an arguments object. The fields accepted inside arguments are listed below — required fields are marked with a red asterisk.
Input schema for researching business for LinkedIn targeting
Response
Tool executed successfully. data.text carries the human-readable result (markdown-friendly). data.quota shows your current usage against the plan limit. data.structured appears when the tool emits machine-parseable structured content. data.content appears for tools that return non-text blocks (images, resources).
Returned on HTTP 200. data.text is the primary human-readable output. data.quota is always present for billable calls. data.structured is set only when the tool emits machine-parseable structured content. data.content is set only when the tool emits non-text content blocks.