Produces a long-form whitepaper or e-book with AI-driven research, content drafting, and formatting for lead generation.
Whitepapers and e-books are in-depth assets that B2B SaaS marketers use to educate prospects during the consideration stage. They often serve as gated content, offering valuable insights like industry trends or best practices. This workflow covers creating a comprehensive document, from initial research through writing, design, and final publication.
AI assistance streamlines the intensive content creation. It can compile relevant statistics, draft sections of the whitepaper, and maintain a logical, professional tone. AI ensures the content is structured effectively and can propose charts or visuals. Marketers can refine the final output, ensuring correctness and brand alignment.
Once complete, the whitepaper or e-book is ready for promotion (often behind a lead capture form). By delegating much of the heavy writing and data compilation to AI, teams can expedite production. The result is a polished, lengthy content piece that establishes thought leadership and attracts qualified leads.
Get ideas for agent-powered experiences that help prospects, users, customers, and partners discover, evaluate, and get value from your product.
Find new ways to improve the internal workflows your team uses to launch, position, sell, support, and grow those experiences across marketing, sales, growth, and success.
See examples of agent experiences you can build for prospects, users, customers, and partners.
Discover team workflows you can turn into internal agents, automations, and tools that save time and reduce manual work.
Find ideas for better experiences during the Consideration stage of the buyer or customer journey.
Explore internal workflows that help your team support that stage more effectively.
Use this example as a starting point, not a fixed recipe.
Copy the flow above as a prompt, markdown, skill, or mermaid diagrom. Adjust the steps, tools, agent and human involvement to fit your real workflow. Then test where users actually get value or drop off.