Why Does AI Cite You? Bing Grounding Queries Reveal the Retrieval Layer
Why Does AI Cite You? Bing Grounding Queries Reveal the Retrieval Layer
Until recently, companies trying to measure AI visibility had to repeat prompts, capture answers, and work backwards from the links they could see.
Microsoft is beginning to expose an earlier part of that chain. In February 2026, Bing Webmaster Tools launched AI Performance in public preview, showing citations, cited pages, and grounding queries across Microsoft Copilot, AI-generated summaries in Bing, and selected partner integrations. Microsoft Clarity made Citations generally available in May and added Query Topics in August to group large sets of grounding queries into themes [1][2][3][5].
This gives GEO teams a new category of first-party retrieval data.
The boundary matters, however: a grounding query can show which retrieval phrase connected an AI system to cited content. It does not fully explain why that page won the final citation.
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The Short Answer
A grounding query is a phrase an AI system uses to retrieve and evaluate current web information before generating an answer. The system may derive it from a user's request, so it should not be treated as the user's exact prompt.
The data can help a company answer three practical questions:
- What subjects does the AI associate with our domain?
- Which information needs already lead to our cited pages?
- Where is our domain eligible to appear but rarely cited?
Four limits should stay visible:
- The data covers supported Microsoft AI experiences, not every AI platform.
- Microsoft describes it as an aggregated, representative view—not a complete log of every prompt, retrieval, and answer [4].
- Citation counts are not rankings, recommendation strength, traffic, or conversions.
- A citation increase after a content change does not prove that the change caused it.
In short, Microsoft has not opened the entire AI decision process. It has exposed some of the retrieval entry points through which cited content was found.
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Which Part of the AI Answer Chain Is Now Visible?
A grounded AI answer can be simplified into this sequence:
User request → intent interpretation → grounding queries → candidate pages → evidence selection → answer and citations
Traditional analytics mainly shows the end of the process: visits, referrers, and landing pages. AI Performance and Clarity Citations move one step upstream. They connect cited URLs to some of the phrases used to retrieve them.
Suppose a user asks:
Which after-sales service software should a German manufacturer compare before expanding into Southeast Asia?
The retrieval layer might use phrases such as:
- multilingual field service software
- after-sales software for manufacturers
- service management software Southeast Asia
- field service software data residency
These are illustrative examples, not exported Bing data.
The important point is that grounding queries do not have to repeat the original wording. An AI system can extract a region, industry, capability, risk, or comparison criterion and turn each into a retrieval phrase.
That makes the data more informative than a final citation alone. It shows how an AI system connected a question to a subject and a page. It still does not disclose the complete reranking and citation-allocation process that followed retrieval.
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What the Reports Measure
Bing Webmaster Tools initially introduced five signals. Microsoft Clarity later expanded the view with eligibility, rate, competitive distribution, and referral metrics [1][4].
| Metric | What it helps answer | What it does not mean |
|---|---|---|
| Total / Page Citations | How often pages were referenced in supported AI answers | Answer rank, citation position, or sentiment |
| Average Cited Pages | Average unique pages cited per day in the selected period | Domain authority or citation coverage |
| Queries Cited | Query instances in which the domain received at least one citation | Multiple references in one request may still count as one cited query |
| Query Volume | Query instances in which the domain was eligible to appear in grounding activity | Traditional search volume or number of user prompts |
| Citation Rate | How often an eligible domain was actually cited | Proof that one optimisation caused a change |
| Grounding Queries | Retrieval phrases associated with cited content | Complete prompts or every internal search |
| Share of Authority | The domain's share of citations within overlapping grounding queries | Global market share or a cross-platform authority score |
| AI Referral Traffic | AI-referred sessions as a share of total sessions | Influence that occurs without a click |
Two metrics are particularly easy to overstate.
Citation Rate uses eligible grounding-query instances as its denominator, not every AI question. Share of Authority compares citation distribution within the overlapping query set where the domain participated; it is not an absolute share of an industry or the entire AI web [3][4].
These metrics are useful for trends and like-for-like comparisons. They should not be turned into a permanent, universal “AI ranking score.”
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Grounding Queries Are Not Traditional SEO Keywords
Both are retrieval phrases, but they come from different actors and support different decisions.
| Dimension | Search keyword | Grounding query |
|---|---|---|
| Generated by | A searcher | An AI system interpreting a task |
| Primary purpose | Return a search results page | Retrieve and verify information for an answer |
| Relationship to the request | Usually the original input | May represent one subtask or constraint |
| Typical metrics | Volume, impressions, clicks, rank | Eligibility, citations, citation rate, associated pages |
| Best use | Demand and acquisition analysis | Understanding how questions connect to subjects and sources |
A list of grounding queries should therefore not become another keyword-stuffing plan.
When many similar phrases appear, group them into stable information needs—such as compatibility, implementation cost, compliance, service coverage, or proof of performance. Then ask whether one authoritative page answers that need with current, verifiable evidence.
Microsoft's August 2026 Query Topics beta supports this workflow. It automatically groups related grounding queries from a project's citation activity and exposes topic-level citation counts, Share of Authority, page distribution, and export options [5].
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What Does Bing Expose That Google Does Not?
Google introduced dedicated generative AI performance reports in Search Console in June 2026. The announced dimensions include impressions, pages, countries, devices, and dates across AI Overviews, AI Mode, and generative AI features in Discover [6].
Microsoft's current differentiator is its view into grounding queries, eligibility, citation rate, and citation share within overlapping queries.
That does not make either dataset complete:
- Google is closer to generative search exposure.
- Microsoft is closer to grounding and citation activity.
- Neither provides the full reasoning, ranking, and source-selection process for every answer.
- Neither replaces repeatable cross-platform and multilingual testing.
The practical goal is not to declare GEO fully attributable. It is to combine first-party platform signals with controlled external observation.
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A Five-Step GEO Workflow for Enterprises
1. Establish a baseline before changing content
After connecting and verifying the domain, preserve a complete observation period. Record:
- grounding queries and query topics
- Query Volume, Queries Cited, and Citation Rate
- cited URLs and Page Citations
- Share of Authority
- AI referral traffic
- date range, filters, and major site changes
Microsoft says data is refreshed daily with a processing delay. Historical availability is limited, very low volumes may be excluded, and totals can differ between views. The dashboard is intended for trend and comparative analysis, not exact accounting of individual prompts or answers [4].
2. Group queries by buyer task
Map phrases to durable tasks such as:
- understanding a problem
- comparing approaches
- verifying capabilities
- evaluating risk
- checking price and implementation conditions
- finding suppliers, evidence, or examples
Automated topics can speed up the work, but business teams should review them. Similar phrases can belong to different buying stages.
3. Prioritise eligible-but-uncited topics
A topic with relatively high Query Volume and low Citation Rate is often more actionable than a random keyword that has never entered the dataset.
| Segment | Signal | Recommended action |
|---|---|---|
| Defend | High volume, high citation rate | Maintain accuracy, freshness, and evidence |
| Priority gap | High volume, low citation rate | Audit completeness, sourcing, and competing pages |
| Specialist authority | Low volume, high citation rate | Preserve depth and test adjacent topics |
| Low priority | Low volume, low citation rate | Confirm business relevance before investing |
“High” and “low” should be defined relative to the same domain, date range, and topic set—not a universal benchmark.
4. Connect each topic to a page and an evidence gap
Build a simple working matrix:
| Grounding topic | Current page | Facts the answer requires | Evidence gap |
|---|---|---|---|
| Product compatibility | Integration page | Supported functions, limits, versions | No update date or limitation detail |
| Total cost | Pricing page | Seats, setup, add-ons | Starting price without assumptions |
| Compliance | Trust centre | Certifications, data location, retention | Claims without primary documents |
| Support coverage | Service page | Languages, time zones, channels, SLA | Promotional copy without standards |
Optimise for answerable facts, not phrase repetition. Use clear headings, direct conclusions, consistent entity names, dates, comparison criteria, original data, methods, and checkable sources.
5. Submit updates and measure by cycle
IndexNow can notify participating search engines when URLs are added, updated, or deleted. It supports single URLs and batches of up to 10,000 URLs, but an HTTP 200 response only confirms receipt. It does not guarantee crawling, indexing, ranking, or citation [7].
Review the same topics on a fixed schedule. Compare Citation Rate, cited pages, Share of Authority, AI referral traffic, and business outcomes. A one-day citation spike is not a success case; a sustained, page-level trend is more useful evidence.
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Where Innflows Fits
Bing Webmaster Tools and Microsoft Clarity provide valuable first-party signals from the Microsoft ecosystem. Buyers, however, use multiple AI platforms and ask questions in multiple languages.
Innflows can turn themes surfaced by grounding queries into a stable set of repeatable business questions, then track across platforms, languages, and time:
- whether the brand appears and in what role
- which owned or third-party URLs are cited
- which competitors recur in the same decision contexts
- how sources and content gaps change
- whether a content update is followed by similar patterns across platforms
The two data types are complementary:
- Bing and Clarity show grounding and citation activity within supported Microsoft experiences.
- Innflows extends measurement to cross-platform, multilingual, and competitive baselines.
External monitoring cannot read undisclosed retrieval logs, guarantee the next citation, or prove causality from correlation. Its value is replacing isolated screenshots with repeatable operational evidence.
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Six Common Misreadings
1. Citation count is an AI ranking
It is not. Microsoft says citation activity does not indicate a page's position, importance, or role within an answer [1].
2. A grounding query is the user's prompt
It may be a system-generated retrieval phrase for only one subtask in a broader request.
3. A citation always produces a visit
It does not. Content can influence a zero-click answer; referral metrics only capture visits that occur.
4. Copying query phrases into a page will increase citations
There is no such guarantee. The phrases reveal information demand, not a ranking formula.
5. A citation increase proves an optimisation worked
Processing delays, model changes, query mix, competing sources, and platform coverage can all change at the same time.
6. Bing data represents every AI engine
Different platforms use different indexes, retrieval systems, models, and citation interfaces. Microsoft data describes its supported scope only.
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Frequently Asked Questions
Can grounding queries explain why one page was cited?
Only partly. They show a retrieval phrase associated with cited content, but not every signal used for reranking, source selection, and citation placement.
Is Query Volume the same as keyword search volume?
No. Microsoft defines it as query instances in which the domain was eligible to appear in grounding activity [4].
Is a higher Citation Rate always better?
Within the same topic and measurement window, it usually means the domain moves from eligibility to citation more often. Low-volume topics can still produce high percentages, so volume and business value must be considered.
Should every grounding query get its own page?
No. Group phrases into durable topics first, then decide whether a product page, documentation page, comparison, case study, or research asset can provide the required evidence.
Can IndexNow guarantee inclusion in an AI answer?
No. It communicates that a URL changed. Successful submission does not guarantee crawling, indexing, ranking, or citation [7].
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The Bottom Line
Bing AI Performance is more than a citation counter. It moves analysis upstream—from “Was our URL linked?” to “Which retrieval phrase helped the AI find evidence on our site?”
Grounding queries can reveal:
- how an AI system associates a domain with topics
- which pages already function as citable sources
- where the domain is eligible but under-cited
- which page, fact, or evidence gap deserves attention first
They are not a complete AI backend or a new keyword ranking table. The durable workflow is to use Microsoft first-party data to identify retrieval entry points, improve page-level evidence, and then test whether the resulting trend holds across platforms and languages.
GEO teams used to see only what an AI cited. They can now begin to see what it searched for on the way there.
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References
[1] - Introducing AI Performance in Bing Webmaster Tools Public Preview — Microsoft Bing, February 2026
[3] - Citations in Microsoft Clarity Now Generally Available — Microsoft Clarity, May 2026
[4] - Understanding Your Influence in AI Answers with Microsoft Clarity — Microsoft Clarity, May 2026
[5] - Analyze AI Citation Queries by Topic — Microsoft Clarity, August 2026
