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                "level": 1,
                "text": "Bing AI Citations: How to Use Grounding Queries + Cited Pages to Get Cited More"
            },
            {
                "level": 2,
                "text": "What the Bing AI Performance report shows"
            },
            {
                "level": 3,
                "text": "Cited Pages"
            },
            {
                "level": 3,
                "text": "Grounding Queries"
            },
            {
                "level": 2,
                "text": "The 8-step workflow to turn citations data into citeable content"
            },
            {
                "level": 3,
                "text": "Step 1: Export your AI citations data"
            },
            {
                "level": 3,
                "text": "Step 2: Build a URL ↔ Query mapping sheet"
            },
            {
                "level": 3,
                "text": "Step 3: Score each row (don’t rewrite randomly)"
            },
            {
                "level": 3,
                "text": "Step 4: Apply the 4 upgrades that reliably improve citeability"
            },
            {
                "level": 3,
                "text": "Step 5: Turn grounding queries into a content roadmap (no guessing)"
            },
            {
                "level": 3,
                "text": "Step 6: Add freshness only when the data demands it"
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            {
                "level": 3,
                "text": "Step 7: Measure the right outcome (weekly)"
            },
            {
                "level": 3,
                "text": "Step 8: Use the 3-minute citeability checklist before publishing"
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            {
                "level": 2,
                "text": "Templates you can paste into any page"
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            {
                "level": 3,
                "text": "Template A: AI Answer Block (grounding-ready)"
            },
            {
                "level": 3,
                "text": "Template B: Fan-out child page (discovery-ready)"
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            {
                "level": 2,
                "text": "FAQ"
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                "level": 2,
                "text": "Want this implemented across your site?"
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        "markdown": "---\ntitle: Bing AI Citations: How to Use Grounding Queries + Cited Pages...\ndescription: 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.\norganization: Neural Command LLC\ncanonical: https://nrlc.ai/en-us/tools/bing-ai-citations/\n---\n\n## What the Bing AI Performance report shows\n\n### Cited Pages\n\nCited Pages are the URLs from your site that Bing/Copilot AI answers referenced as sources.\n\nUse this to find:\n\n- Your current “AI winners” (the pages already being cited)\n- Which topics your site is trusted for\n- Where citations are concentrated (risk) vs spread out (opportunity)\n### Grounding Queries\n\nGrounding queries are the phrases Bing’s AI used to retrieve sources before generating the answer.\n\nUse this to find:\n\n- The exact intents the AI is trying to satisfy\n- The angles you’re missing (questions you should answer explicitly)\n- Which sections of your pages should be rewritten into clean answer blocks\n## The 8-step workflow to turn citations data into citeable content\n\n### Step 1: Export your AI citations data\n\nIn Bing Webmaster Tools → AI Performance:\n\n- Export Cited Pages\n- Export Grounding Queries\nDo this for: Last 28 days (stable patterns) and Last 7 days (fresh demand).\n\n### Step 2: Build a URL ↔ Query mapping sheet\n\nCreate a simple table:\n\nURL | Grounding query | Matching section (heading) | Answer block exists? | Fix type\n\nFast method:\n\n- Open the URL\n- Ctrl+F for the key nouns in the query\n- Find the section that should answer it\n- If there’s no clean answer, mark it “Missing”\n### Step 3: Score each row (don’t rewrite randomly)\n\nLabel each URL↔Query row:\n\n- A) Winner: cited and clear already\n- B) Cited but weak: cited, but answer is buried or vague\n- C) Missing answer: query matches, no clean answer exists\n- D) Wrong page: query belongs on a different URL\n### Step 4: Apply the 4 upgrades that reliably improve citeability\n\nUpgrade 1: Answer Block Injection (B + C)For each repeated grounding query intent:\n\n- Add an H2/H3 heading that mirrors the intent\n- Add a 1–3 sentence direct answer immediately under it\n- Add 3–7 bullet facts (steps, limits, requirements, menu paths)\nPlacement rule: Put at least one answer block in the top 20–30% of the page.\n\nUpgrade 2: Chunk Mirror (B)If the answer exists but is buried:\n\n- Duplicate the best paragraph into a “Quick answer” block near the top\n- Tighten it (shorter sentences, fewer pronouns, more proper nouns)\n- Keep the original section too\nUpgrade 3: Page Routing (D)When Bing is citing the wrong page:\n\n- Add a top-of-page line on the wrong page: “For the definitive answer on X, see: [Correct URL].”\n- Add 2–5 internal links to the correct URL with intent-matching anchor text\n- Strengthen canonicals and navigation toward the correct page\nUpgrade 4: Citation Ladder Expansion (A)Turn one winner page into a citation network:\n\n- Take 1 top cited page (hub)\n- Select 10–30 grounding queries that are narrow variants\n- Create child pages (or child sections) for each cluster\n- Interlink hub ↔ children\nThis grows your citation footprint (more distinct URLs can be cited).\n\n### Step 5: Turn grounding queries into a content roadmap (no guessing)\n\nCluster grounding queries by intent:\n\n- Definition (“what is”)\n- How-to / steps\n- Requirements / eligibility\n- Cost / pricing / limits\n- Comparisons / alternatives / best\n- Troubleshooting / errors\n- Use cases / scenarios\nDecision rule: Repeats weekly → become a heading or a new child page. One-offs → become a short section.\n\n### Step 6: Add freshness only when the data demands it\n\nIf grounding queries include: latest, new, 2026, update, cost, pricing, requirements\n\n- Add “Updated: Month Day, Year” near the first answer block\n- Add a 3-bullet “What changed” mini-changelog\n### Step 7: Measure the right outcome (weekly)\n\nTrack:\n\n- Total citations\n- Unique cited pages (how many distinct URLs are getting cited)\n- New URLs entering the cited list\n- Shifts in grounding query volume\nIf citations rise but unique cited pages stay flat, you’re improving a small set of pages but not expanding coverage.\n\n### Step 8: Use the 3-minute citeability checklist before publishing\n\nFor every new/edited answer block, first ~150 words must include:\n\n- the full subject noun (entity name)\n- a direct answer\n- at least 3 concrete facts\nHeading mirrors the intent. Bullets are standalone sentences. No fluff before the first answer.\n\n## Templates you can paste into any page\n\n### Template A: AI Answer Block (grounding-ready)\n\nH2/H3: [Intent-aligned heading]\nDirect answer (1–3 sentences).\nBullets (3–7):\n• Fact 1 (complete sentence, includes the subject noun)\n• Fact 2\n• Fact 3\nOptional:\n• “When this doesn’t apply” (1–2 sentences)\n• “Sources / references” (2–5 authoritative links)\n\n### Template B: Fan-out child page (discovery-ready)\n\nH1: [Narrow intent / constraint]\nTwo-sentence answer.\nCriteria bullets (5–9).\nMini-table: Option | Best for | Tradeoff.\nFAQ (3–6).\nLink back to hub: “See the full guide: [Hub URL].”\n\n## FAQ\n\n**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.\n\n**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.\n\n## Want this implemented across your site?\n\nNeural Command builds systems that turn websites into AI-retrievable, citeable knowledge assets.\n\n- Neural Command: nrlc.ai\n- Croutons: croutons.ai\nIf you want a fast start, send us:\n\n- Your top 25 cited pages export\n- Your top 100 grounding queries export\n…and we’ll return an action plan: per-URL edits, answer blocks to insert, and the child pages to spawn.\n\n\n\n---\n\nSource: https://nrlc.ai/en-us/tools/bing-ai-citations/\nPublisher: Neural Command LLC\nLicense: Editorial use with attribution\n"
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