How to Measure Your GEO Performance: Bing Webmaster Tools' AI Citation Share, Explained

A Pew Research report published June 17, 2026 found that 60% of U.S. adults now read AI-generated summaries at the top of search results, up from a much smaller fraction just two years ago (per Pew Research Center). That number has a specific implication for content publishers: AI citations are no longer a niche interest. They are where a majority of your potential audience first encounters your answers.

The problem is measurement. Ask ten GEO practitioners whether their content is actually being cited in AI answers and most will point to indirect signals: traffic from Bing or ChatGPT referral, a spike in branded queries, an anecdote about a user who said they found you through Perplexity. None of that is a citation count. Bing Webmaster Tools changed that in February 2026, when Microsoft launched AI Performance in public preview, and the dashboard got meaningfully richer on June 16, 2026 with the addition of Citation Share and Compare (per Search Engine Land). For the first time, a free publisher-side tool tells you your citation count, which of your pages are pulling citations, and how your share of a given query's citations compares across time. For the tactics side, the companion guide on getting cited by AI search engines covers what to write. This one covers how to know whether it is working.

Why measuring AI citations is different from measuring search rank

Classic SEO measurement is positional. You track whether a URL appears in position one, three, or twelve for a keyword, and position is a reliable proxy for click volume. GEO measurement does not work that way. AI citation is not a ranked list. An answer engine retrieves sources it considers useful for a specific answer, and those sources appear in any order inside a generated response, sometimes collapsed into a footnote, sometimes as a visible source chip. "Position one" has no analog here.

AI citation is also more brittle than search rank. Whether your page gets cited depends on the specific phrasing the user put in, which retrieval path the engine took, and whether a freshness signal pushed a competitor's recently updated page into the mix. A page cited for "solar panel ROI" may not get cited for "are solar panels worth it" even when those questions are effectively identical to a human reader. Bing's new Intents taxonomy and Topics clustering, launched as part of the June 2026 update, start to capture this variance at scale (per Search Engine Land).

One more thing worth knowing: a Stella Rising study reported by Search Engine Land on June 10, 2026 found that two-thirds of AI prompts run to 15 words or fewer, and the median prompt in a shopping scenario was just eight words (per Search Engine Land). Real users type short queries. Grounding Queries data will reflect that terse, keyword-adjacent shape.

What the Bing AI Performance dashboard tracks (and what it misses)

The dashboard lives under "AI Performance" in the Bing Webmaster Tools left nav. You need a verified site. Microsoft's February 2026 launch post defines four core metrics (per Bing Webmaster Tools blog):

Total Citations counts how many times any page on your site appeared as a source in an AI-generated answer during the selected date range. It reflects what was shown to users, not what the AI retrieved internally but chose not to surface. Microsoft is explicit: this does not indicate placement or rank within an answer.

Average Cited Pages is the daily average number of unique URLs from your site cited as sources. It is a breadth signal, not a depth signal. Twenty pages cited 50 times each scores higher than one page cited 1,000 times.

Grounding Queries surfaces the key phrases the AI used when retrieving content that was then cited. Think of it as keyword data for AI retrieval, not for classic search rank. The phrases show what topic framing triggered a citation.

Page-level citation activity breaks counts down to individual URLs. If a handful of pages drive the bulk of your citations, that concentration is diagnostic information.

The June 2026 update added four more surfaces (per Search Engine Land). Intents classifies queries by type: Informational, Commercial, Navigational, Research, Creation. Topics groups related queries into thematic clusters. Citation Share shows your percentage of total citations for a given query. Compare overlays a prior period so you can track change over time.

What the dashboard cannot tell you: how competitors perform in absolute terms, what Google's AI systems are doing, or what Perplexity and ChatGPT are pulling. Microsoft designed Citation Share as "an observational metric, not a ranking system or competitive scoreboard," and explicitly does not expose competitor domains. You see your share. You do not see who has the rest.

Grounding Queries: your keyword research for AI citation

The Grounding Queries tab gives you the retrieval phrases that actually triggered a citation. Not the user's query text, but the internal phrase the AI extracted when deciding which sources to check. Those phrases are more precise. Where a user might type "is Shopify worth it for a small store," the grounding phrase might be "Shopify pricing for small businesses 2026." That precision reveals the content structure the AI is looking for.

Export the data and sort by citation frequency. The top phrases show where you already earn retrieval. The middle tier is the opportunity set. For each middle-tier phrase, check whether the relevant page answers it directly: a heading that matches the phrase, a direct answer in the first 60 words under that heading, and a factual claim with a date or source. Those three features are what Microsoft's guidance identifies as conditions for strong AI citation (per Bing Webmaster Tools blog).

If a grounding phrase clusters under a Topic where your site has strong total citations but per-phrase Citation Share is low, you have a page recognized as topically relevant but not structured for easy retrieval on that specific question. Content edit, not a new page.

Citation Share, the metric added in June 2026, shows what fraction of all citations for a given grounding query were attributed to your site. If a query generated 40 citations across ten sources, and six went to your page, your Citation Share for that query is 15%.

Sort your queries by Citation Share descending and study the bottom of the list. Low share on a phrase your page is already indexed for usually means other sources answer it more directly, more recently, or with better structural markers. That is a fixable content problem, not a distribution problem.

The Compare feature lets you overlay a prior period to check whether an update moved the needle. Update a page, note the date, return after two to three weeks, and compare Citation Share before and after. Because the dashboard reflects live citation activity, freshness changes (aided by IndexNow, which Microsoft explicitly recommends for keeping AI systems current) can register within days rather than the weeks a classic rank-change takes to stabilize (per Bing Webmaster Tools blog).

One important scope note: Citation Share covers Bing's AI surfaces only, meaning Microsoft Copilot, Bing's AI-generated summaries, and select partner integrations. It does not reflect Google AI Overviews, Perplexity, or ChatGPT. A high share in Bing tells you the content is structurally sound for AI retrieval. Whether the same content pulls citations in other engines requires different instrumentation.

A four-step weekly GEO audit using Bing data

Run this on the same day each week so your compare periods stay clean:

Step 1: Check citation trend. Open AI Performance, set the date range to the past 7 days, and compare against the prior period. Citations down more than 15%? Look at which URLs dropped in page-level citation activity. A drop usually traces to a competitor page that recently updated, or a freshness signal that pushed your page below the retrieval threshold.

Step 2: Pull new Grounding Queries. Filter to the past 7 days and sort by volume. New phrases that earn citations immediately are emerging retrieval patterns worth reinforcing. New phrases with zero citations despite being on-topic are gap candidates for a heading and direct-answer paragraph.

Step 3: Flag Citation Share drops. For your top 10 queries, check whether Citation Share moved. Share down but absolute citations flat means a competitor gained ground. Both down means your content lost preference with the retrieval engine.

Step 4: Submit via IndexNow. For any page you edit, submit it to indexnow.org or via Bing Webmaster Tools URL submission. Microsoft has confirmed faster indexing translates to fresher content signals in AI retrieval (per Bing Webmaster Tools blog). Do not update and then wait three weeks for a crawl.

The whole process runs inside Bing's dashboard and costs nothing beyond verified site ownership.

The gap Bing cannot fill: competitor citation tracking with Firecrawl

Bing shows you your own Citation Share. It does not show you what ChatGPT, Perplexity, or Google AI Overviews are citing for your target queries. The only way to see that is to issue those queries programmatically and scrape the answer-engine pages that return.

Firecrawl's /monitor feature handles this. You define target URLs (the answer-engine response pages for your tracked queries), set a schedule (minimum every 15 minutes), write a plain-language goal, and Firecrawl tracks changes across those pages, comparing each scrape against the last snapshot (per Firecrawl docs). When a change matches your goal, it fires a webhook or email. "Alert me when a new source replaces my site in the citation list for this query" is a goal the judging engine can evaluate.

The change-tracking surface delivers git-style diffs of competitor citation pages. If Perplexity's answer for a target query flips from citing your content to citing a competitor's, you see which competitor, what changed, and when. That is the signal Bing Webmaster Tools cannot provide.

Firecrawl charges per underlying scrape, scaling with URL count and frequency. The feature supports up to 50 targets per monitor, and meaningful-change judging adds one credit per validated changed page (per Firecrawl docs). For most GEO teams tracking 20 to 30 key queries across a few answer engines, the volume stays modest. You can start a competitor citation pipeline via Firecrawl.

from firecrawl import Firecrawl

firecrawl = Firecrawl(api_key="fc-YOUR-API-KEY")

monitor = firecrawl.create_monitor(
    name="AI citation tracker - target queries",
    schedule={"text": "daily at 9am", "timezone": "UTC"},
    goal=(
        "Alert when sources cited for AI-generated answers about [your topic] change. "
        "Flag when a new domain replaces a previously cited source. "
        "Ignore cosmetic UI changes outside the citation list."
    ),
    targets=[
        {
            "type": "scrape",
            "urls": [
                "https://www.perplexity.ai/search?q=your+target+query",
            ],
        }
    ],
    notification={
        "email": {
            "enabled": True,
            "recipients": ["[email protected]"],
            "includeDiffs": True,
        }
    },
)

Replace your+target+query with URL-encoded versions of the queries you are tracking. Run one monitor per answer engine so the goals stay focused and the diffs stay interpretable.

What the platform comparison shows

The three major platforms handle AI-search visibility reporting in fundamentally different ways:

Platform	AI citation reporting	Query-level data	Competitor data
Bing Webmaster Tools AI Performance	Full: Total Citations, Average Cited Pages, Grounding Queries, Citation Share, Intents, Topics, Compare. Free, verified site required.	Yes. Grounding Queries are the retrieval phrases the AI used, sampled.	No. Citation Share is your share only; competitor domains are not exposed.
Google Search Console	Partial: AI Overviews impressions and clicks in standard Performance report since late 2024. No source-attribution or citation-share metric.	Query-level impressions, yes. No grounding-phrase breakdown.	No.
Perplexity / ChatGPT publisher tools	None. No native first-party publisher tool exposes citation data for either engine as of June 2026.	No.	No.

That gap is why Bing matters disproportionately for GEO measurement right now. Not because it has the largest AI-search audience. Because it is the only engine giving publishers data to understand what they have.

What zero citations actually tells you

Low or zero Total Citations usually points to a structural problem, not bad content. AI systems cite content that answers a specific question in a compact, directly retrievable block. Clear headings that match the query phrasing, a direct answer in the first sentence under that heading, and a factual claim with a date or source are the three signals Bing's guidance identifies as conditions for improved citation (per Bing Webmaster Tools blog).

If the Grounding Queries tab shows retrieval phrases that do not appear as headings in your content, the page is not being found for those queries even when the underlying information is there. That is the fix: add or adjust the heading, put the answer in the first sentence under it.

Freshness is the second cause. Pages untouched for six months lose citation share to newer competitive content. IndexNow is the fix: update the page, submit it, and let the crawl reset the freshness signal. The Compare view will show whether Citation Share moved within two to three weeks.

The metric is new enough that a multi-week baseline matters. One week is a snapshot. Four weeks shows a trend. Build the weekly audit habit before drawing conclusions about what is and is not working.