Yesterday OpenAI followed up the Operator release with Deep Research, an agent that can conduct multi-step research for you. Like the Gemini feature it shares a name with, ChatGPT Deep Research can source information across the web for you, reason over it, and ultimately provide a more comprehensive and extensively cited answer vs. ChatGPT Search.
Tl;dr for web pros: Deep Research uses the same underlying methodology as ChatGPT Search. If you want to enhance your content's visibility in Deep Research, start with ChatGPT Search. Blocking ChatGPT-User
should also block Deep Research. More details below, but if you're concerned about how your site functions with AI search, Deep Research or Operator, get in touch!
Positioning: Like Operator, OpenAI positions Deep Research as a step towards agentic AI. I see them as very different, both in terms of market dynamics and from a technical perspective.
Operator is remarkable because it's the first "robotic" browser use agent that's oriented towards non-technical users. (For devs or automation experts, there's lots of prior art for Operator.) On the other hand, Deep Research has more market precedent in the form of Google's NotebookLM and Gemini Advanced Deep Research and (to some extent) Perplexity's Pro Search product.
Technology: From a technology point of view, the emphasis in Deep Research should be on the word "search". Intuitively, you might expect Deep Research to browse around your website to find related resources – for example, following links to cited papers or browsing to the "pricing" page when it lands on a product page.
In testing, Deep Research does not do this. Instead, it runs multiple searches – for both breadth and depth – as it tries to find information relevant to the user's question. Like a human, it will try different search terms if the first one isn't helpful, and run additional searches if the content needs more context.
Takeaways for site owners:
As always, AI platforms continue to evolve rapidly, so these are subject to change in the future.