The Edward Show

How to Use Bing's AI Performance Data to Get More LLM Citations

7 snips
Feb 16, 2026
David Quaid, an SEO and digital marketing strategist focused on search and AI, returns to break down Bing's AI Performance report and grounding queries. He explains how LLMs generate grounding query fan-outs and why surprising citation spikes happen. Short, tactical talk on spotting grounding-language, when to build new pages, and using this data as a fresh keyword layer for AI visibility.
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INSIGHT

Grounding Queries Reveal Hidden Keyword Layer

  • Bing's AI Performance reveals grounding queries that show how LLMs fetch web data during prompt fan-outs.
  • Grounding queries expose a new layer of keyword behavior that traditional SEO tools don't capture.
ANECDOTE

Small Site With Big AI Citations

  • David built a small WordPress site that got only 75 organic Bing clicks yet showed massive AI citations.
  • The site demonstrated that social media backlinks don't meaningfully transfer SEO authority.
INSIGHT

The Prompt Is Not The Query

  • The prompt users type is often not the same as the queries LLMs run; models break prompts into subqueries.
  • LLMs perform query fan-outs then ground outputs by fetching web results, driving which pages get cited.
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