Copy.ai's Shift to Enterprise Workflows

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Chris Lu, co-founder of Copy.ai, on generative AI in the enterprise

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Today with ChatGPT, with Google, with Facebook, and all these other large players entering the space, that's going to be commoditized
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The real moat is moving from one off text generation to software that sits inside a company’s daily systems and does repeatable work. Basic writing is easy for ChatGPT, Google, Meta, and every app with an AI button to offer. Copy.ai’s response was to turn AI into a GTM workflow layer that researches accounts, drafts outreach, enriches CRM records, and automates tasks that teams otherwise do by hand.

  • The old product was a wrapper around GPT output. That model worked while standalone AI writing tools could charge for convenience, but broke when ChatGPT launched free and AI writing appeared inside Notion, Grammarly, Google Docs, and Microsoft tools.
  • The enterprise product is much more concrete than a chatbot. A rep can upload 100 accounts, have the system research each company, score which ones matter most, draft personalized emails, and push the output into Salesforce or HubSpot.
  • This is also the same path Jasper and other AI app companies had to take. Once foundation models became cheap and widely distributed, value shifted upward to workflow design, integrations, compliance, and customer specific tuning that fits into existing business processes.

The next phase favors AI products that look less like standalone writing apps and more like system software for a department. As models keep getting cheaper and better, the winners are likely to be the companies that own the workflow, the integrations, and the customer data loop, not the simple text box.