AI Model & Product
OpenAI Signals
Also known as: Signals (OpenAI)
OpenAI Signals is a business insights offering from OpenAI that draws on aggregated, anonymised patterns in how people use ChatGPT. It is positioned as a way for organisations to see what consumers are asking about a category, rather than a tool for targeting individuals. Marketers treat it as a potential demand research input alongside search data and social listening.
What it is
Signals packages aggregated intent and topic patterns from ChatGPT usage into reports for business customers. The emphasis is on category level themes, emerging questions and shifts in what people ask, not on identifiable user data. Availability, pricing and scope have been limited and may change, so check current OpenAI documentation before planning around it.
Why it matters
Traditional keyword tools describe queries typed into search engines, but a growing share of research now happens in conversational assistants where those queries are longer, more specific and largely invisible. Any credible window into assistant level demand helps teams understand unmet questions, objections and comparison behaviour. That informs content planning, product messaging and the way brands prepare to be cited in AI answers.
How it works
Practitioners use category insight of this kind the same way they use search demand data: to spot rising themes, map the questions buyers actually ask, and prioritise pages or FAQs that answer them directly. Findings are usually validated against first-party data such as site search, sales calls and support tickets before committing budget. It complements, rather than replaces, keyword research, server log analysis and assistant visibility tracking.
When it applies
It applies when your audience researches complex or considered purchases through AI assistants and you need evidence about that demand rather than inference from classic search volume.
Examples
- A skincare brand reviews assistant level category themes and finds ingredient safety questions dominate early research.
- A B2B software team uses emerging question patterns to rewrite its comparison pages around the objections buyers actually raise.
- An insurer cross-checks assistant demand themes against its own call centre transcripts before commissioning new guides.
How it is measured
- Number of new content briefs created from assistant demand themes each quarter
- Coverage rate of identified questions across your published pages
- Citation rate for your domain in ChatGPT answers for the themes you targeted
- Referral sessions and conversions from AI assistants after publishing the new content
Insights on OpenAI Signals
Related terms in AI Model & Product
- Agents APIAn Agents API is a programming interface for building applications where a model plans, calls tools and completes multi-step tasks rather than returning a single reply. The term is most often used for OpenAI's agent building interfaces, though other vendors offer equivalents. Teams use it to connect models to search, internal data and actions such as booking, updating records or generating reports.
- AI assistantAn AI assistant is a software product that uses a language model to hold a conversation, answer questions and carry out tasks on a user's behalf. It sits on top of one or more underlying models and adds an interface, memory, tools and safety controls. Examples include ChatGPT, Google Gemini, Microsoft Copilot, Claude and voice assistants such as Siri and Alexa.
- AI transcriptionAI transcription is the automatic conversion of spoken audio into written text using speech recognition models. Modern systems often add speaker labels, punctuation, timestamps and language detection, and can feed the output into summarisation or search. It is also called automatic speech recognition or ASR.
- BingBing is Microsooft's web search engine, available at bing.com and integrated into Microsoft Copilot and other Microsoft products. It maintains its own crawler, Bingbot, and its own index, and provides Bing Webmaster Tools for site owners. Its index and APIs have also supplied results to third-party search products and AI assistants.
- ChatGPT VoiceChatGPT Voice is the spoken conversation mode in OpenAI's ChatGPT apps, which lets you talk to the assistant and hear its replies read aloud. Advanced Voice Mode processes speech directly, so exchanges feel closer to a phone call and you can interrupt mid-answer. People use it hands free on mobile, and it is also available on desktop.
- Claude CodeClaude Code is Anthropic's agentic coding tool that works directly with a codebase, reading files, proposing and making edits, and running commands with permission. It runs in the terminal and in supported development environments, driven by natural language instructions rather than manual file by file editing. Marketing and growth teams use it for technical SEO, structured data and data tasks that would otherwise wait for engineering.
Primary research · August 2026
How ChatGPT Shortlists Software Brands
An audit across 10 categories and 60 buying questions. I recorded what ChatGPT reads, throws away and links to when a buyer asks it which software to buy, and what that decides.
- 60
- Questions asked
- 10
- Software markets
- 2,680
- Results read
- 367
- Links shown
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