Marketing Agents

Pattern

Marketing Plan & Implement Agent

Two-phase marketing agent with brand context: Stage 0 extracts brand info from URL or manual input, planning phase gathers requirements and creates a plan with todos, implementation phase executes the plan using web scraping and research tools. Uses callOptionsSchema + prepareCall for dynamic agent configuration.

AdvancedDec 2025View the full pattern on desktop
Marketing Plan & Implement Agent preview

Problems solved

  • Extract brand context from a URL or manual intake
  • Plan marketing work with human-approved todos
  • Execute the plan with research and scraping tools
  • Pass brandContext at runtime via callOptions and prepareCall
  • Share runtime context with tools through experimental_context

Use cases

  • Marketing campaign plan-and-execute agents
  • Competitor research implementation loops
  • Content strategy agents with approval gates
  • SEO research that moves from plan to action

AI SDK APIs

useChatgatewayToolLoopAgenttool(generateObjecthasToolCallstepCountIscreateAgentUIStreamResponseInferAgentUIMessagecallOptionsSchemaprepareCallexperimental_context

Tags

aiagentsmarketingplanningimplementationai-sdktool-loopweb-scrapingfirecrawlhuman-in-the-looptodo-management

Requirements

Node.js
24+
Memory
512MB
Other
  • OpenAI API key
  • Firecrawl API key

Environment variables

External services

openaifirecrawl

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