Bing AI Citations: How to Use Grounding Queries + Cited Pages to Get Cited More
Bing’s AI Performance report (inside Bing Webmaster Tools) shows two things that matter for AI visibility: which pages get cited in AI answers and the grounding queries that triggered retrieval. This page gives you the exact workflow to turn that data into citeable content.
If you want the video walkthrough, watch it here:
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.