Web grounding
AI uses current web information to improve its answers, with controls for where it looks.
Web grounding means an AI chatbot looks at current information on the internet to help answer your questions. Instead of only using the data it was trained on, it can search the web for the latest details.
For example, if you ask about today's weather, a web grounded AI can check a weather website to give you an accurate, up-to-the-minute forecast. Microsoft 365 Copilot has features that let businesses choose which websites the AI can use for this information.
Web grounding is a technique where AI models retrieve and incorporate information from the World Wide Web into their response generation process. This allows the AI to access real-time data, current events, and specific external knowledge beyond its training dataset. It enhances the recency and relevance of AI outputs, particularly for queries about dynamic information.
Controlling web grounding involves specifying data sources. Features like Microsoft's Domain Exclusion allow administrators to define which web domains the AI can access, balancing the need for current information with data governance and security requirements.
Microsoft is actively developing controls for how its Copilot product accesses web information, as seen in recent updates about Domain Exclusion. This suggests a growing focus on managing the reliability and scope of web grounding for enterprise AI applications.
- Parallel cut research time and cost in half with GPT‑6 AstraOpenAI · OpenAI News ·
- Update: Domain Exclusion for Microsoft 365 CopilotMicrosoft · Microsoft 365 Copilot Blog ·
- More control over web grounding with Domain Exclusion for Microsoft 365 CopilotMicrosoft · Microsoft 365 Copilot Blog ·
- Microsoft Copilot
- Microsoft Copilot is implementing features like Domain Exclusion to give administrators more control over which web sources the AI uses for grounding.
- OpenAI ChatGPT
- While not explicitly detailed in the provided context, OpenAI's GPT-6 Astra likely benefits from or utilizes web grounding to achieve its advanced research capabilities.
- Training Data
- Training data is the static dataset an AI learns from, while web
- Internal Knowledge Base
- This refers to information stored within the AI's own p
- Web Scraping
- Web scraping is the act of extracting data from websites, which ca
The concept of grounding AI responses in external information has evolved with the development of large language models. Techniques like Retrieval-Augmented Generation (RAG), which underpins much of modern web grounding, were popularized in research papers aiming to improve LLM factuality and knowledge. Source ↗
Ask an AI chatbot like ChatGPT or Google Gemini a question about a very recent event, such as 'What was the main news headline today?' Observe if it provides a current answer or states it doesn't have access to real-time information. Then, try asking a question that requires specific, up-to-date data, like 'What is the current stock price of Apple?', to see if it can retrieve it.
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Questions people ask
- Does all AI use web grounding?
- No, not all AI models use web grounding. Some AI models only use the data they were trained on, which might be outdated. Web grounding is a specific feature that allows AI to access current internet information.
- Can web grounding make AI answers wrong?
- Yes, if the AI retrieves incorrect or biased information from the web, it can lead to inaccurate answers. The quality of the web grounding depends on the reliability of the sources the AI accesses.
First seen on Subvolts Aug 4, 2026. Updated Sep 29, 2026. Written by an AI model from the items above and reviewed against them weekly; report an error.