OpenAI Launches ChatGPT Business Search — Enterprise Teams Can Now Query Internal Data Alongside AI Answers

OpenAI has extended ChatGPT's enterprise tier with a Business Search mode that allows teams to connect internal knowledge bases, CRM records, and document repositories directly to ChatGPT's answer engine. The result is a single interface where employees can ask a question and receive a synthesized answer drawing on both the open web and the company's own proprietary data — with citations surfaced for both sources.

The feature is available to ChatGPT Enterprise and ChatGPT Team subscribers via connectors to Google Drive, Microsoft SharePoint, Salesforce, Notion, and Confluence, with additional integrations in development. Retrieval is permission-aware, meaning users only receive answers grounded in documents they are authorised to access.

Why This Matters Beyond the Enterprise Firewall

The immediate use case is internal productivity: employees get faster, more accurate answers to operational questions without switching between tools. But the AEO implication is more significant than it first appears. Business Search changes the surface on which brand citations occur.

Until now, AEO has been primarily a public-web discipline. Brands optimise content on their own domains, earn citations in third-party publications, and build structured data so that public AI engines can retrieve and cite them accurately. Business Search introduces a new citation surface: the internal AI answer engine used by the enterprise buyers who are evaluating, purchasing, and recommending products. When a procurement team asks ChatGPT Business Search to summarise the leading vendors in a category, the answer it generates draws on whatever content about those vendors exists in the company's connected documents — analyst reports, saved web pages, internal memos, and any public web content the retrieval layer surfaces alongside them.

The Implication for B2B Brand Visibility

For B2B brands, this creates a new visibility challenge that sits upstream of the traditional sales cycle. A brand that is well-represented in public AI answer engines but poorly structured in the documents that enterprise buyers save and share — analyst reports, comparison pages, case studies, RFP templates — will underperform in Business Search relative to its public-web citation rate.

The practical response is an extension of existing AEO practice: ensure that the content most likely to be saved and shared by enterprise buyers — detailed product pages, comparison guides, third-party reviews, and case studies — is structured for AI extraction, with clear entity signals, direct answers to common evaluation questions, and authoritative sourcing. Content that is easy for a human to save is also easy for Business Search to retrieve.

OpenAI has not disclosed the number of Enterprise and Team subscribers using Business Search, but ChatGPT Enterprise is reported to have over 600,000 active enterprise users across more than 100,000 organisations. For B2B brands selling into those organisations, Business Search is not a future consideration. It is a current citation surface.