--- title: Bing AI Citations: How to Use Grounding Queries + Cited Pages... description: Bing's AI Performance report shows which pages get cited and the grounding queries that triggered retrieval. Exact workflow to turn that data into citeable content. organization: Neural Command LLC canonical: https://nrlc.ai/en-us/tools/bing-ai-citations/ --- ## What the Bing AI Performance report shows ### Cited Pages Cited Pages are the URLs from your site that Bing/Copilot AI answers referenced as sources. Use this to find: - Your current “AI winners” (the pages already being cited) - Which topics your site is trusted for - Where citations are concentrated (risk) vs spread out (opportunity) ### Grounding Queries Grounding queries are the phrases Bing’s AI used to retrieve sources before generating the answer. Use this to find: - The exact intents the AI is trying to satisfy - The angles you’re missing (questions you should answer explicitly) - Which sections of your pages should be rewritten into clean answer blocks ## The 8-step workflow to turn citations data into citeable content ### Step 1: Export your AI citations data In Bing Webmaster Tools → AI Performance: - Export Cited Pages - Export Grounding Queries Do this for: Last 28 days (stable patterns) and Last 7 days (fresh demand). ### Step 2: Build a URL ↔ Query mapping sheet Create a simple table: URL | Grounding query | Matching section (heading) | Answer block exists? | Fix type Fast method: - Open the URL - Ctrl+F for the key nouns in the query - Find the section that should answer it - If there’s no clean answer, mark it “Missing” ### Step 3: Score each row (don’t rewrite randomly) Label each URL↔Query row: - A) Winner: cited and clear already - B) Cited but weak: cited, but answer is buried or vague - C) Missing answer: query matches, no clean answer exists - D) Wrong page: query belongs on a different URL ### Step 4: Apply the 4 upgrades that reliably improve citeability Upgrade 1: Answer Block Injection (B + C)For each repeated grounding query intent: - Add an H2/H3 heading that mirrors the intent - Add a 1–3 sentence direct answer immediately under it - Add 3–7 bullet facts (steps, limits, requirements, menu paths) Placement rule: Put at least one answer block in the top 20–30% of the page. Upgrade 2: Chunk Mirror (B)If the answer exists but is buried: - Duplicate the best paragraph into a “Quick answer” block near the top - Tighten it (shorter sentences, fewer pronouns, more proper nouns) - Keep the original section too Upgrade 3: Page Routing (D)When Bing is citing the wrong page: - Add a top-of-page line on the wrong page: “For the definitive answer on X, see: [Correct URL].” - Add 2–5 internal links to the correct URL with intent-matching anchor text - Strengthen canonicals and navigation toward the correct page Upgrade 4: Citation Ladder Expansion (A)Turn one winner page into a citation network: - Take 1 top cited page (hub) - Select 10–30 grounding queries that are narrow variants - Create child pages (or child sections) for each cluster - Interlink hub ↔ children This grows your citation footprint (more distinct URLs can be cited). ### Step 5: Turn grounding queries into a content roadmap (no guessing) Cluster grounding queries by intent: - Definition (“what is”) - How-to / steps - Requirements / eligibility - Cost / pricing / limits - Comparisons / alternatives / best - Troubleshooting / errors - Use cases / scenarios Decision rule: Repeats weekly → become a heading or a new child page. One-offs → become a short section. ### Step 6: Add freshness only when the data demands it If grounding queries include: latest, new, 2026, update, cost, pricing, requirements - Add “Updated: Month Day, Year” near the first answer block - Add a 3-bullet “What changed” mini-changelog ### Step 7: Measure the right outcome (weekly) Track: - Total citations - Unique cited pages (how many distinct URLs are getting cited) - New URLs entering the cited list - Shifts in grounding query volume If citations rise but unique cited pages stay flat, you’re improving a small set of pages but not expanding coverage. ### Step 8: Use the 3-minute citeability checklist before publishing For every new/edited answer block, first ~150 words must include: - the full subject noun (entity name) - a direct answer - at least 3 concrete facts Heading mirrors the intent. Bullets are standalone sentences. No fluff before the first answer. ## Templates you can paste into any page ### Template A: AI Answer Block (grounding-ready) H2/H3: [Intent-aligned heading] Direct answer (1–3 sentences). Bullets (3–7): • Fact 1 (complete sentence, includes the subject noun) • Fact 2 • Fact 3 Optional: • “When this doesn’t apply” (1–2 sentences) • “Sources / references” (2–5 authoritative links) ### Template B: Fan-out child page (discovery-ready) H1: [Narrow intent / constraint] Two-sentence answer. Criteria bullets (5–9). Mini-table: Option | Best for | Tradeoff. FAQ (3–6). Link back to hub: “See the full guide: [Hub URL].” ## FAQ **Does this report show clicks from AI answers?**The AI Performance report focuses on citations activity, cited pages, grounding queries, and trends. For conversion tracking, use analytics and landing page engagement. **What does "breadth" mean?**Breadth is the number of unique URLs from your site that get cited in AI answers over a period. More breadth means a larger citation footprint. ## Want this implemented across your site? Neural Command builds systems that turn websites into AI-retrievable, citeable knowledge assets. - Neural Command: nrlc.ai - Croutons: croutons.ai If you want a fast start, send us: - Your top 25 cited pages export - Your top 100 grounding queries export …and we’ll return an action plan: per-URL edits, answer blocks to insert, and the child pages to spawn. --- Source: https://nrlc.ai/en-us/tools/bing-ai-citations/ Publisher: Neural Command LLC License: Editorial use with attribution