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GEO-RaaS Billing Manager

Business Operations Updated 2026.08.30

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About this skill

Problem: Inconsistent RaaS Billing for GEO Services

GEO service providers often charge by outcome metrics such as mention_rate, first_recommend_rate, or traffic growth, but metric definitions, billing periods, and invoice templates can be scattered across spreadsheets and chat records. This skill moves billing plans, actual metrics, and invoice templates into structured configuration files to reduce manual reconciliation.

How It Works: From Configuration to Invoice

  • Billing plan parsing: reads RaaS plan templates from references/billing_plans.json and maps brands, billing models, and metric weights into computable rules.
  • Billing calculation: scripts/billing_engine.py applies the configured rules to input values such as mention_rate and first_recommend_rate.
  • Invoice and report output: scripts/invoice_generator.py combines billing results with references/invoice_templates.json, then can produce PDF through ReportLab / WeasyPrint or Excel through Openpyxl.

Boundaries

It is oriented to Coze workflows and cloud-function-style execution, making it suitable for internal GEO provider settlement or comparing billing models. It does not collect live GEO metrics and should not replace formal finance workflows for auditing, invoicing, or contract management.

Use Cases

  • GEO providers configure mention-rate billing plans and generate monthly invoices from actual metrics.
  • Procurement teams compare first-recommend-rate and traffic-growth models to calculate service fees for the same metrics.
  • Freelancers input mention-rate and first-recommend-rate data, then export client-ready PDF invoices.
  • Operations staff select a default plan in billing_plans.json, verify templates, and publish skill details.

Best For

  • GEO service providers: settle customer fees by mention rate, first-recommend rate, and other outcome metrics.
  • Enterprise procurement or operations staff: evaluate value-for-money across different GEO billing models.
  • Freelancers: turn metric data into client-facing invoices and effect reports.
  • Investors or business analysts: unpack the billing structure of GEO service business models.