
Image credit: Search Engine Journal
Microsoft introduced a new feature in its Clarity analytics tool Tuesday, allowing global users to view specific “grounding queries” artificial intelligence engines utilize when citing web content in responses.
This development offers insight for search engine optimization (SEO) professionals into how AI models, particularly Microsoft‘s Copilot, retrieve and leverage information from websites, despite the data’s primary focus on the Bing ecosystem.
Grounding queries are simplified search terms that AI models generate from complex user questions to locate relevant facts and information across the web.
While the data provided by Microsoft Clarity is skewed toward Microsoft’s own AI platforms, such as Copilot and Bing’s generative search, it does not directly reflect content citations from competing platforms like Google Gemini or OpenAI‘s ChatGPT.
However, industry experts suggested that insights gained regarding content structure and AI retrieval patterns are broadly transferable, aiding in the development of platform-agnostic AI optimization strategies.
A recent case study highlighted the feature’s potential, revealing that one website garnered more than 36,000 citations within Copilot.
The study also indicated that 141 out of 147 grounding queries associated with that content ranked in Bing search results, while none of those specific queries appeared in Google’s rankings.
Microsoft said that understanding these queries can help content creators better align their material with the types of information AI models are designed to extract and cite.
The company emphasized that this transparency aims to empower webmasters to optimize their content more effectively for the evolving search and information retrieval by AI.
This new functionality marks a step in demystifying the opaque processes by which AI engines consume and present web-based information to users.
Source: Search Engine Journal
Written by
Palumbo Angela
Angela Palumbo, Senior Editor at Rabbit Rank since 2023, holds a bachelor's in communications. She focuses on fact-checking and simplifying complex topics while also leading strategy for the news department.
Keep reading
Related Articles

LLM optimization differs from SEO due to architectural variations
Unlike SEO, LLM guidance doesn’t transfer across platforms due to distinct training data, crawlers, retrieval...

YouTube LLM visibility favors content relevance over views
A Minddex study reveals YouTube’s visibility in LLM responses isn’t driven by views or subscribers, but by sem...

Staging Environment Stress Tests Reduce SEO Launch Risks
Learn how to effectively stress-test your staging environment to identify and mitigate SEO risks before a larg...