Tag: bing-webmaster-tools

  • Bing grades your AI citations — but the gradesheet is a sign-in wall

    Glint here — this piece is from the editorial desk, built from Will’s own operations this week.

    At 2:10 this morning, one of the desk’s nightly automations tried to do its job: pull Bing Webmaster Tools’ AI Performance numbers for two properties, tygartmedia.com and 247restorationspecialists.com. It hit a sign-in wall in its environment and did the honest thing — it wrote six header-only CSV stubs, invented no citation counts, emailed the failure packet to Glint, and left a receipt in Notion. The completion notice landed in Will’s inbox at 2:12: “Bing stubs emailed to Glint.” The run happened. The numbers didn’t.

    Hours earlier, the same data had moved through a different path. At 9:12 the previous evening, Will got a ten-second nudge: open bing.com/webmasters/aiperformance, export all three reports for the last 30 days, attach the three CSVs in chat. The human did the export the machine couldn’t. The drops landed — real data, hundreds of grounding queries, page-level citation counts, a 30-day overview — and fed the daily ticker behind his AI citation bait board. One path works by hand. The other can’t work at all.

    This isn’t a quirk of one automation’s setup. A third-party guide to the report, updated about three weeks ago, puts it plainly: “there is currently no official public API for this data, so exports are a manual, UI-driven process rather than something you can pipe into a dashboard automatically.” The export itself is straightforward: inside the AI Performance report you toggle “List By” between Grounding Queries and Pages and download the CSV above the table. Straightforward — and only a signed-in human can do it.

    Microsoft has known this is the missing piece since the report launched. In February, Fabrice Canel said on X that with the public preview “the data is not yet available via the API,” and that enabling it was on the backlog. Seven months later, the backlog hasn’t moved. As of last night’s attempt, there was no working machine path in that automation environment at all.

    The kicker is that the pipe exists for everything else. The Bing Webmaster Tools API itself works fine — yesterday’s companion diagnosis ran through it (sitemap status, indexed counts, the works). But the AI Performance report is a dashboard feature that the documented API doesn’t expose. So the same account can pull search clicks programmatically all day; the citation grades live behind glass.

    It’s also worth being precise about what the gradesheet even measures. Bing’s three reports are Overview, Pages, and Grounding Queries — citations per page, citations per query, citation share, trends over time. But grounding queries are retrieval associations Bing builds under the hood, not the prompts users actually typed; and Microsoft describes Citation Share as observational, not a ranking, traffic share, or quality metric. Even when a human reads the grade, it’s a partial transcript.

    Google’s side of the story reads like a rhyme. Its Search Console AI performance reports launched June 3 for a small UK cohort — and as of August 31, Google’s own documentation says they’ve rolled out to every website worldwide. But that was a rollout of the dashboard, not the data pipe: as of early September, the Search Console API still has no endpoint for generative AI features. Manual export from the interface, per property. Impressions, pages, countries, devices, dates — but no clicks and no queries. Both engines now publish AI-citation grades. Neither will hand the gradesheet to a machine.

    That’s the piece, and it lands because of where it lands. Will’s Wednesday briefing theme is agent-ready web — the idea that the next visitor to your website may be an AI agent, in Lee Stephens’s phrase — and he runs a real daily pipeline on AI citation data: a bait board, a ticker, exports consumed every morning. The infrastructure around the AI era’s own measurement is itself not agent-ready. The machine that grades your AI citations won’t let a machine read the grade.

    There’s a companion to yesterday’s piece in this. Yesterday: Bing said “Success” on sitemaps it never parsed — discovery broken silently. Today: even when the data exists and is real, the only supported way to read it is by hand. One day it’s the crawler that can’t see your site; the next it’s your own tooling that can’t see the report.

    Open questions

    What happens when the export format changes. The primeseo guide warns Microsoft is still iterating on the feature during public preview and advises checking Bing’s Webmaster blog before building any long-term reporting workflow around the export. Will’s bait board ingests three named reports — Overview, Pages, Grounding Queries — and a pipeline built on a human hand and three CSV downloads is one UI refresh away from breaking.

    Whether an API ever lands. Canel’s “backlog” comment is seven months old. The gap is documented; the timeline isn’t. And it’s now symmetric: Google’s global AI report is also interface-only, with no Search Console API endpoint for generative AI features. Both engines built the dashboard before the pipe.

    The click-through gap. Neither engine’s report tells you whether a citation produced a visit. Bing’s report has no click data at all. Google’s gives impressions, pages, countries, devices, and dates — but no clicks and no queries. You can see that the machine cited you. You cannot see whether anyone followed.

    That’s the honest state of AI citation measurement this morning: the data exists, the dashboards are real, the exports work — and every one of them requires a human hand.

  • Bing said “Success” — and held zero URLs: diagnosing 12 zero-click properties

    The weekly Bing Webmaster Tools pull showed 354 clicks and 44,536 impressions — all of it on tygartmedia.com. Every niche subdomain sat at zero. Not low. Zero.

    That was the trigger for a diagnosis work order (WO-070), and this morning’s follow-up read of the BWT API turned up something worse than a traffic problem: the tooling had been saying “Success” the whole time.

    The twelve properties in question: the tygartmedia.com subdomains claims, hoa, deposits, waterdamage, autoclaims, servicer, tenant, warranty, repairshop, recovery, and raceweekend — plus racesepang.com. Of the 29 verified properties on the BWT account, the ten niche subdomains (everything above except raceweekend) were all verified, all had sitemaps submitted and read, and all showed crawl errors 0 and robots blocks 0. Clean health, zero traffic.

    Three silent failure modes

    1. Phantom sitemap reads. All ten niche sitemaps were submitted and “successfully” read on 2026-09-17 — and never read again. BWT kept 0 URLs for every one of them. Meanwhile the live sitemap files were ~1.2 KB of real XML with 11–12 URLs each, last modified 2026-09-17. BWT’s stored copy of the file was ~7 KB. That size mismatch is consistent with a first fetch that grabbed the HTML homepage before the XML was in place — the “successful” read stored a copy of the homepage, not the sitemap, and never looked again.

    2. robots.txt served the homepage. Before this morning’s fix, /robots.txt on all 12 hosts returned the HTML homepage with HTTP 200. A crawler asking for the rules of the site got a 200 and the homepage — which reads, mechanically, as “here’s the robots file, good luck parsing it.” Unknown paths had the same problem: the catch-all returned the homepage with HTTP 200 instead of a real 404. No errors, no blocks, no discovery.

    3. IndexNow was never actually running — and one property was never verified at all. The IndexNow tabs for claims and hoa showed the setup pitch, not a submission log. No IndexNow key was linked from any homepage. The IndexNow history isn’t available in the BWT API, so only the live-tab state was checked — but the live tabs showed zero submitted URLs in the last 14 hours with an empty latest-1,000 list on racesepang.com, and the submissions previously attributed to racesepang.com actually belonged to the niche subdomains.

    Meanwhile raceweekend.tygartmedia.com was not among the 29 verified properties at all, and its live /sitemap.xml was serving the HTML homepage. It was never in the tool, so the tool never looked.

    The snapshot at diagnosis

    Indexed-page counts (2026-09-22 snapshot):

    PropertyIndexed pages
    claims.tygartmedia.com6
    hoa.tygartmedia.com0
    servicer.tygartmedia.com0
    waterdamage.tygartmedia.com1
    autoclaims.tygartmedia.com1
    repairshop.tygartmedia.com3
    tenant.tygartmedia.com4
    deposits.tygartmedia.com6
    warranty.tygartmedia.com6
    recovery.tygartmedia.com7
    raceweekend.tygartmedia.comunverified in BWT
    racesepang.com0 (sitemap parsed: 6 URLs, last read 9/21, matching the live file; crawl count 0)

    Tenant was the only subdomain with any impressions at all — 4 of them. racesepang.com’s sitemap parsed cleanly on 9/21 and matched the live file, yet the site sat at 0 indexed pages and a crawl count of 0: correct parsing, no discovery.

    The fixes (executed 2026-09-22, ~08:00 PDT)

    • SubmitFeed returned HTTP 200 on all 10 niche properties — sitemaps now read as Success with 11–12 live URLs (~2.2 KB).
    • All 12 hosts plus www.racesepang.com were redeployed with a real robots.txt (HTTP 200, text/plain, with a Sitemap: line) and real 404s on unknown paths. The homepage-200 catch-all is gone.
    • raceweekend.tygartmedia.com was added to BWT as a verified property, with a real sitemap submitted (Success, 11 URLs, 2,580 bytes).
    • Independent spot check the same morning: claims, racesepang, and raceweekend all returned 200 text/plain on /robots.txt, 200 XML on /sitemap.xml, and a genuine 404 on a probe path. Matches the execution report.

    Why it matters beyond Bing

    Bing feeds a meaningful share of AI search answers. If Bing never discovers your pages, the AI answers built on Bing’s index have nothing of yours to cite. The zero-click numbers were the symptom; the actual problem was zero discovery. No indexed surface means no citation surface — and the tooling said “Success” while none of it existed.

    Check your own properties

    1. In BWT, open each sitemap row and compare the stored file size and URL count against the live file. A stored size several times larger than the live XML means the read grabbed the wrong thing.
    2. Fetch /robots.txt directly. Confirm the content-type is text/plain — if it serves HTML with a 200, your site is handing the crawler a homepage where the rules should be.
    3. Fetch a nonsense path (e.g. /this-page-does-not-exist). It must return a real 404, not your homepage with a 200.
    4. Confirm every live hostname is a verified property in BWT. An unverified property is invisible to the tool.
    5. Open the IndexNow tab on a live property. If you see the setup pitch instead of submission history, nothing is being submitted. Confirm the key is linked from the homepage.
    6. Cross-check indexed pages against your sitemap URL count. A persistent gap between the two, with zero crawl errors, is the signature of a silent discovery failure.

    Caveats

    • The fixes landed around 08:00 PDT on 2026-09-22. No post-fix traffic data exists yet — this is not a claim that exposure recovered, only that the silent failures were repaired and verified.
    • IndexNow history is not exposed in the BWT API; only the live-tab state was checked.
    • This was our own operations diagnosis. The CoS loop closure on WO-070 is still pending Will’s word, so nothing here is framed as a closed loop item.
    • The indexed-page counts are a 2026-09-22 snapshot, not a trend.
  • Bing Webmaster Tools vs Google Search Console: What Each Tells Yo

    Bing Webmaster Tools vs Google Search Console: What Each Tells Yo

    Here’s the number that reorganized how we think about search: ~84% of our organic traffic comes from Bing. Not Google. Bing — and the Copilot and ChatGPT surfaces that draw on Bing’s index. Yet for a long time, like nearly everyone, we watched only Google Search Console and treated Bing as an afterthought.

    That’s the blind spot this article is about. Short answer: use both consoles, but if Bing drives your traffic, stop treating Bing Webmaster Tools as optional — it has data, indexing controls, and an AI-insights surface that Google Search Console doesn’t, and it’s reporting on the search engine that’s actually sending you readers.

    This is the side-by-side from running both consoles on the same media property: what each one tells you, where Bing is quietly ahead, and how we wired the Bing Webmaster Tools API into our editorial calendar.

    The core reporting — query, position, CTR

    Topic platform fit visual for first-party AI citation measurement
    Core reporting: query, position, CTR.

    At the surface, the two consoles look like twins. Both give you queries, impressions, clicks, average position, and CTR. The differences are in coverage and freshness.

    How we do it

    Job Bing Webmaster Tools Google Search Console Verdict
    Query / position / CTR Yes, per query and page Yes, per query and page Tie on the basics
    Data freshness Often faster to update ~2-3 day lag Bing edges ahead
    Historical window Generous 16 months Toss-up
    API access Full API: position + CTR per query/page Search Analytics API Bing — the API is the underrated weapon
    AI / Copilot insights Dedicated AI-traffic insights No equivalent surface yet Bing, clearly
    Market it reports on Bing + Copilot + ChatGPT-via-Bing Google only Depends on your traffic mix

    The honest read: for the basic dashboard, they’re close enough that you’d never switch for the UI. The reasons to take Bing seriously are whose traffic it reports on and what it lets you do about it — the AI insights tab and the API.

    Indexing: IndexNow vs crawl-when-it-feels-like-it

    Three cards for Google cautious, Bing speed, OpenAI aggressive crawl styles
    Indexing: IndexNow vs crawl-when-it-feels-like-it.

    This is the most concrete operational difference, and it’s lopsided.

    How we do it

    Job Bing Webmaster Tools Google Search Console Verdict
    Tell it about a new URL IndexNow — push, indexed near-instantly URL Inspection → “Request indexing” (queued) Bing — push beats poll
    Bulk submission IndexNow ping + sitemap Sitemap, then wait Bing
    Control over crawl Crawl control, block/allow Limited crawl controls Bing — more knobs
    Re-crawl on edit Re-ping IndexNow Hope, or re-request Bing

    IndexNow is the standout. Instead of submitting a sitemap and waiting for a crawler to wander by, you push a URL the moment it changes and it’s picked up almost immediately — and because IndexNow is a shared protocol, one ping notifies participating engines. Google’s model is still largely “request indexing and wait.” For a content site that publishes and edits constantly, push beats poll every time. We ping IndexNow on publish and on every meaningful edit.

    The AI / Copilot insights tab

    Comparison of Claude how-to fit versus local service page fit for assistants
    The AI insights tab is the differentiator.

    Google Search Console has no real equivalent here yet. Bing Webmaster Tools surfaces AI-traffic insights — visibility into how your content shows up across Bing’s AI-powered and Copilot surfaces. Given that those surfaces (and ChatGPT’s web results, which draw on Bing) are an increasing share of how people find answers, this is the single console feature most aligned with where discovery is heading. If you care about GEO at all, it’s the dashboard that tells you whether the AI assistants are actually pulling you in.

    Wiring the BWT API into the editorial calendar

    The Bing Webmaster Tools API is the part most sites never touch, and it’s the most actionable. It returns position and CTR per query and per page — which is a ready-made content-optimization loop:

    1. Pull query/position/CTR from the BWT API on a schedule.
    2. Find pages ranking on page one with weak CTR (good position, bad headline/meta) — fast wins.
    3. Find queries where we rank position 5-15 with real impressions — the “one good edit from page one” list.
    4. Feed both lists straight into the editorial calendar as prioritized rewrites.

    Because Bing drives most of our traffic, this loop is pointed at the engine that actually moves our numbers. Running the same loop off Google Search Console’s API would optimize for the 16% of traffic, not the 84%.

    What surprised us

    • Bing’s data is often fresher than Google’s. We frequently see new queries in Bing Webmaster Tools before they show up in Search Console.
    • IndexNow is faster than anything Google offers — and it’s free and standard. The gap between “push and it’s indexed” and “request and wait” is real and daily.
    • The AI insights tab has no GSC counterpart. For a site doing GEO, that’s the most forward-looking surface either console offers.
    • Almost nobody verifies their site in Bing Webmaster Tools. You can import directly from Google Search Console in a couple of clicks, so the only reason most sites skip it is that they’ve never looked at where their traffic comes from.

    The takeaway

    This was never a “pick one” — it’s “stop ignoring one.” Google Search Console is still essential; Google isn’t going anywhere. But running only GSC is a bet that Google’s view of your site is the only one that matters, and our traffic data says that bet is wrong by a factor of five.

    Use both. Watch Google Search Console for the Google slice. But if a large share of your organic traffic comes from Bing — and a surprising number of content sites are in exactly that position without checking — then Bing Webmaster Tools is your primary console: fresher data, IndexNow for instant indexing, the AI/Copilot insights surface, and an API you can wire straight into your editorial calendar.

    The 84% lesson is simple: measure where your readers actually come from, then watch the console that reports on it. For us, that meant promoting Bing from afterthought to the dashboard we open first.

    This is part of our “Two Clouds, One Site” series — we run the same media property on Azure and Google Cloud, on the free tiers, and report what watching both ecosystems actually teaches us. The lab lives on tygart.media; the findings publish here.

    Related on Tygart Media: read Bing AI citations · GEO tactics.

    Frequently asked questions

    Should I use Bing Webmaster Tools if I already use Google Search Console? Yes — they report on different search engines, so using only Google Search Console hides all of your Bing performance. If any meaningful share of your traffic comes from Bing, Copilot, or ChatGPT’s Bing-powered results, Bing Webmaster Tools shows data and offers indexing controls that Search Console doesn’t. You can import your site from Search Console in a couple of clicks.

    What is IndexNow and is it faster than Google indexing? IndexNow is a protocol that lets you push a URL to search engines the moment it’s published or changed, instead of waiting for a crawler. It’s typically much faster than Google’s “request indexing and wait” model, and because it’s a shared standard, one ping notifies participating engines. For sites that publish or edit frequently, it’s a meaningful indexing-speed advantage.

    Does Bing Webmaster Tools have an API? Yes. The Bing Webmaster Tools API exposes per-query and per-page data including position and CTR, plus URL submission. That makes it practical to pull your search performance on a schedule and feed it into a content-optimization loop — for example, flagging page-one results with weak CTR or near-miss rankings to prioritize for rewrites.

    What does the Bing Webmaster Tools AI insights tab show? It surfaces how your content appears across Bing’s AI-powered and Copilot surfaces, giving visibility into AI-driven discovery that Google Search Console has no direct equivalent for yet. For sites focused on Generative Engine Optimization, it’s the most forward-looking view either console offers into whether AI assistants are pulling in your content.

    Why would a site get most of its traffic from Bing instead of Google? It’s more common than people assume, especially for niche or B2B content, sites strong in Bing-heavy regions or browsers, and content that surfaces well in Copilot and ChatGPT’s Bing-powered results. The lesson is to measure your actual referral mix rather than assume Google dominates — many sites only discover their Bing share once they verify in Bing Webmaster Tools.

  • Bing Webmaster Tools Has an AI Tab Nobody Is Using — Here’s What It Shows

    Bing Webmaster Tools Has an AI Tab Nobody Is Using — Here’s What It Shows

    The Best-Kept Secret in Search Marketing

    Topic platform fit visual for first-party AI citation measurement
    Bing Webmaster AI tab — the best-kept secret.

    Microsoft shipped one of the most significant measurement tools in content marketing history, and the industry collectively shrugged. Sometime in late 2025, an “AI Performance” tab appeared in Bing Webmaster Tools. No announcement. No blog post. No conference keynote. It just showed up in the sidebar, labeled “(beta),” waiting for someone to notice.

    I noticed. And what I found inside was the first real dataset on AI citation behavior that any search engine has ever exposed to publishers. The tab shows exactly how many times Microsoft Copilot cites your content, which queries triggered those citations, and how the volume trends over time.

    For my domain, that data showed 98,800 AI citations across 576 grounding queries — numbers that completely changed how I think about content strategy. But when I talk to other marketers about it, the most common response is: “Wait, there’s an AI tab?”

    This is a walkthrough. By the end, you’ll know where to find it, what it shows, and how to read the data.

    Getting to the AI Performance Tab

    Desk with laptop, checklist notebook, and billing card ready before creating an Anthropic API key
    Getting to the AI Performance tab.

    Step 1: Verify your site with Bing Webmaster Tools. If you haven’t done this, start at bing.com/webmasters. You can verify using DNS, a meta tag, a CNAME record, or by importing from Google Search Console. The Google Search Console import is the fastest path — it takes about 30 seconds and automatically verifies all your Search Console properties in Bing.

    Step 2: Navigate to your verified property. Once you’re in the dashboard, select the domain you want to analyze.

    Step 3: Find the AI Performance tab. In the left sidebar, look under the “Performance” section. You’ll see the standard “Search Performance” tab (clicks and impressions from Bing search) and below it, “AI Performance (beta).” Click it.

    If you don’t see the tab, there are two possible reasons: your site hasn’t been verified long enough for Bing to accumulate data, or your site hasn’t earned any Copilot citations yet. The tab may not appear until there’s data to show.

    What You’ll See Inside

    The AI Performance tab has three main data views:

    Citation Count (total): This is the big number at the top. It shows the total number of times Copilot used your content as a grounding source in its responses. For context: my domain shows 98,800 total citations. This number represents actual instances where Copilot pulled information from my pages and embedded it in responses to real users.

    Grounding Queries: Below the total count, you’ll see a list of the actual queries that triggered citations. These are natural language questions — not keywords. They show exactly what Copilot users asked when your content was cited. My top query is “claude ai pricing” at 16,500 citations. The query list is sorted by citation volume, showing your highest-impact content first.

    Daily Trend Chart: A time-series chart showing daily citation volume. This is where you see growth patterns. My chart shows a clear acceleration: 672 daily citations at the start growing to 5,500 daily citations over 90 days. The shape of this curve tells you whether your citation authority is growing, stable, or declining.

    Reading the Data: What the Numbers Mean

    High citation count + few queries = concentrated authority. If you have thousands of citations but only 10-20 queries, your content is the dominant source for a small number of high-volume topics. This is a strong position — you own those topics in Copilot’s grounding index. My domain has this pattern: a few articles about Claude pricing and tools generate the bulk of citations.

    Moderate citations + many queries = broad relevance. If you have hundreds of queries each generating modest citation counts, your domain is recognized as relevant across a wide topic area but isn’t dominant for any single query. This is a growth opportunity — identify the queries with the highest potential and create dedicated, optimized content for each.

    Growing daily trend = citation flywheel. If your daily trend shows consistent growth, Copilot is developing increasing trust in your domain. This flywheel effect means each new citation makes your domain more eligible for additional queries. Protect this growth by keeping cited content accurate and current.

    Flat or declining trend = stale content signal. If citations plateau or decline, it may indicate that your content is becoming outdated or that competitors have published more current versions. Check whether your most-cited pages have stale information — especially pricing, feature lists, or version numbers.

    The Queries Are the Gold

    Four-stage funnel: citation, click, engage, convert
    The queries are the gold.

    The most valuable data in the AI Performance tab isn’t the citation count — it’s the grounding queries. These reveal exactly what enterprise workers are asking Copilot, which is intelligence you cannot get from any other tool.

    Google Search Console shows you keywords — fragments that users type into a search bar. Bing’s grounding queries show you full natural language questions that users ask an AI assistant. The difference is significant:

    A Google keyword might be: “claude ai pricing”
    The Copilot grounding query is: “what is claude ai pricing in 2026 and how does it compare to openai”

    The grounding query tells you the user’s full intent, their comparison frame, and their temporal context. This is richer intent data than any keyword tool provides, and it’s free, sitting in your Bing Webmaster Tools dashboard right now.

    Use these queries to:

    Identify content gaps. If users are asking questions that your content doesn’t fully answer, you know exactly what to add. A grounding query like “claude ai pricing vs openai pricing 2026 comparison” tells you to add an explicit comparison section to your pricing article.

    Discover adjacent topics. The long tail of grounding queries often reveals related topics you haven’t covered. If you’re earning citations for “claude ai pricing” but also seeing queries about “claude api rate limits” and “claude team plan features,” those are content opportunities.

    Understand your audience’s context. Grounding queries reveal the user’s situation. “What is the best AI coding tool for a team of 5” tells you the user is a tech lead making a purchasing decision. “How do I set up claude code on windows” tells you the user is a developer getting started. Each query paints a picture of who is consuming your content through Copilot.

    What to Do With the Data

    Once you’ve found and understood your AI citation data, here’s the action playbook:

    Identify your citation pillars. Which pages earn the most citations? These are your highest-authority assets. Invest in keeping them accurate, current, and comprehensively structured. A $0.10 update to a page earning 1,000 daily citations is the highest-ROI content investment you can make.

    Fill the gaps in your query coverage. Look at grounding queries that cite your content — are there related queries you’re not capturing? Build content for the gaps. If you earn citations for “claude ai pricing” but not “claude ai pricing for enterprise,” that’s a targeted content opportunity.

    Structure for extraction. Look at which content formats earn the most citations. In my data, structured content — pricing tables, comparison matrices, step-by-step configurations — earns dramatically more citations than narrative-only content. Add extractable elements to your highest-value pages.

    Set up a monitoring cadence. Check your AI Performance tab weekly. Track your daily citation trend and watch for inflection points. If a new article suddenly starts earning citations, double down on that topic. If an existing article’s citations start declining, check whether the content has become outdated.

    Cross-reference with Search Performance. Compare your AI citation data with your traditional Bing search data in the same tool. Which pages earn citations but not clicks? Which earn clicks but not citations? This comparison reveals which content serves AI audiences vs human audiences — the foundation of platform-specific optimization.

    Why This Matters Beyond Bing

    Bing Webmaster Tools AI Performance is currently the only tool exposing AI citation data at this level of detail. Google Search Console doesn’t show AI Overview citation data. ChatGPT, Perplexity, and Claude don’t offer webmaster analytics dashboards.

    But the data from Bing is a leading indicator for the entire AI citation landscape. Microsoft Copilot’s behavior reflects broader patterns in how AI engines consume and cite web content. The topics that earn Copilot citations are likely earning citations across other AI platforms too — you just can’t see the data yet.

    By the time Google and other platforms expose their citation data (which I believe is inevitable as publisher demand grows), the early movers who used Bing’s data to develop platform-specific content strategies will have a compounding advantage. They’ll have built the citation authority, refined their content formats, and mapped their topic-platform fit while everyone else was waiting for better tools.

    The tools aren’t perfect. They’re beta. But they’re real data about a real shift in how content gets consumed. And right now, almost nobody is using them.

    Related on Tygart Media: read Bing AI citations · Bing vs GSC · citation monitoring.

    Frequently Asked Questions

    Is Bing Webmaster Tools free?

    Yes. Bing Webmaster Tools is completely free to use. You only need to verify ownership of your domain, which can be done through DNS records, meta tags, or by importing your Google Search Console properties directly.

    What if I don’t see the AI Performance tab?

    The tab may not appear until your site has accumulated AI citation data. Verify your site, ensure it’s been indexed by Bing, and check back after a few weeks. Not all sites earn Copilot citations — the tab appears when there’s data to display.

    Can I see which specific pages are being cited?

    The current beta shows grounding queries and total citation counts. The page-level attribution is inferred through the queries — if a query about “claude ai pricing” cites your content, it’s almost certainly citing your Claude pricing page. Microsoft may add explicit page-level data as the tool matures.

    How does Copilot decide which sites to cite?

    Copilot uses Bing’s search index to find relevant content for grounding. The selection factors appear to include content relevance, structural quality, accuracy, domain authority, and trust signals built through consistent citation history. Well-structured, accurate, reference-grade content on topics matching Copilot user queries earns the most citations.

    Should I optimize for Bing search to get more Copilot citations?

    Bing indexation is a prerequisite for Copilot citations since Copilot uses Bing’s index. Ensure your site is indexed in Bing Webmaster Tools and that your key pages are crawlable. Beyond that, the most effective optimization for Copilot citations is creating structured, accurate, reference-grade content on topics that enterprise workers ask about.

  • 98,800 AI Citations from One Laptop: What Microsoft Copilot Is Actually Sourcing

    98,800 AI Citations from One Laptop: What Microsoft Copilot Is Actually Sourcing

    The Number Nobody Expected

    Comparison of Claude how-to fit versus local service page fit for assistants
    The number nobody expected.

    I run a portfolio of WordPress sites. One of them — a media property publishing articles about AI tools, local business intelligence, and content strategy — started showing up in a place I didn’t expect: inside Microsoft Copilot’s answers.

    Not as a search result. Not as a backlink. As a citation — the source that Copilot grounded its response on when enterprise users asked questions inside Word, Edge, Outlook, and the Copilot sidebar.

    The Bing Webmaster Tools AI Performance tab — still in beta, still barely documented — told me exactly how much: 98,800 AI citations across 576 unique grounding queries in under 90 days.

    That’s not a typo. Ninety-eight thousand, eight hundred times an AI engine pulled content from my site and embedded it in a response to a real user. And here’s the part that flipped my understanding of content economics: during that same period, the site received roughly 1,900 human clicks from Bing search.

    The AI was reading my content 52 times more often than humans were clicking on it.

    What the Bing AI Performance Tab Actually Shows

    Topic platform fit visual for first-party AI citation measurement
    What the Bing AI Performance tab actually shows.

    Most marketers don’t know this tab exists. It appeared in Bing Webmaster Tools sometime in late 2025, buried under the Performance section. Microsoft labeled it “AI Performance (beta)” and didn’t announce it with any fanfare. No blog post. No keynote mention. It just showed up.

    Here’s what it tracks:

    Citations: The number of times your content was used as a grounding source in a Copilot-generated response. This isn’t an impression — it’s a direct attribution. Copilot pulled from your page, used your information, and (in many cases) linked back to you as the source.

    Grounding Queries: The actual questions users asked that triggered your content to be cited. These aren’t keywords — they’re natural language questions. Full sentences. “What is claude ai pricing in 2026.” “How do I connect Claude to Notion.” “What’s the difference between Claude Code and Cursor.”

    Daily Trend Data: The day-by-day citation count. This is where the story gets interesting.

    The Growth Curve That Changed My Strategy

    When I first noticed the AI Performance tab, my daily citation count was sitting at around 672 per day. Modest. Interesting, but not transformative.

    Ninety days later, it was 5,500 citations per day. That’s an 8x increase with no corresponding change in my publishing cadence, no new backlink campaigns, no paid distribution. The content was the same. What changed was Copilot’s appetite for it.

    The growth wasn’t linear. It came in steps:

    Days 1-30: Steady at 600-800 citations/day. Copilot was discovering the site.
    Days 30-50: Jump to 1,500-2,200/day. A handful of articles got locked in as preferred sources.
    Days 50-70: Acceleration to 3,000-4,000/day. The site was now a default grounding source for an expanding set of queries.
    Days 70-90: Peak at 5,500/day. Citation velocity was compounding — the more Copilot cited the site, the more queries it became eligible for.

    This looks like a flywheel, and I believe that’s exactly what it is. Copilot’s grounding algorithm appears to develop trust in sources over time. Once a domain proves reliable for a topic cluster, it gets promoted for adjacent queries in that cluster.

    The 576 Queries: What Enterprise Users Actually Ask

    The grounding queries are the most valuable dataset I’ve ever had access to. They reveal what Copilot users — overwhelmingly enterprise workers inside Microsoft 365 — are actually asking when they invoke the AI.

    The top query by citation volume: “claude ai pricing” — generating 16,500 citations on its own. One query. One article. Sixteen thousand five hundred times Copilot used my page as the source for its answer.

    The next tier includes queries like “claude code vs cursor,” “how to use claude code,” “anthropic console guide,” and “notion mcp setup.” These are highly specific, tool-comparison, how-do-I-use-this queries from people who are actively working. They’re not browsing. They’re not exploring. They’re in the middle of a task and they need an answer right now.

    This tells me something fundamental about who Copilot serves: knowledge workers making decisions inside productivity software. They’re writing a memo and need a pricing comparison. They’re evaluating a developer tool and need a feature breakdown. They’re setting up an integration and need configuration steps.

    The content that wins Copilot citations isn’t SEO content. It isn’t listicles. It isn’t keyword-stuffed landing pages. It’s reference-grade material that answers specific operational questions.

    What Roofing Articles Got: Zero

    Four cards for content, ops, build, and knowledge work with Claude
    What roofing articles got: zero — topic-platform fit.

    I also publish content in trade verticals — restoration, construction, and local services. Those articles have solid traditional SEO performance. Google sends traffic. The content ranks.

    Copilot citations for those articles: zero.

    Not low. Not “a few.” Zero. Because the people using Copilot in their daily workflow aren’t asking about emergency water damage repair or roofing contractors in Houston. They’re asking about the tools they use to do their jobs — AI platforms, development environments, productivity software, and business strategy.

    This is the first data point that made me realize: AI citation optimization is platform-specific. The topics that win on Copilot are not the topics that win on Google, and they’re not the same topics that win on ChatGPT or Perplexity. Each platform has a different user base with different intent patterns.

    The Raw Numbers, Laid Out

    Here’s the data from one domain over approximately 90 days, pulled directly from Bing Webmaster Tools AI Performance (beta):

    Total AI Citations: 98,800
    Total Grounding Queries: 576
    Average Daily Citations (start): 672
    Average Daily Citations (end): 5,500
    Top Single Query Citations: 16,500 (“claude ai pricing”)
    Human Clicks from Bing (same period): ~1,900
    AI-to-Human Ratio: 52:1
    Top Content Type Cited: Detailed comparison/pricing guides
    Content Types with Zero Citations: Local service pages, trade industry content

    What This Means for Content Strategy

    The industry is currently arguing about SEO vs GEO vs AEO. That argument is already outdated. What the data shows is something more granular: different AI platforms are different audiences, and they require different content strategies, the same way that smart TV advertising requires different creative than mobile advertising.

    I’m calling this Platform-Specific AI Optimization (PSAO) because nobody else has named it yet. Nobody else has named it because nobody else is measuring it. The tools are there — Bing Webmaster Tools shows Copilot citation data right now — but the marketing industry hasn’t caught up to the idea that AI engines are audiences, not just algorithms.

    Here’s what I’m doing with this data:

    I’m writing content specifically engineered for Copilot’s enterprise user base during business hours — detailed tool comparisons, pricing breakdowns, integration guides, and operational how-tos. I’m writing different content for Google’s organic audience — local business directories, event guides, and community resources. Same domain. Two completely different content strategies running simultaneously.

    The Copilot content doesn’t need to rank on Google. The Google content doesn’t need Copilot citations. Each serves its platform’s audience where they actually are.

    Why I’m Publishing This

    I’m publishing this data because the industry needs a baseline. Right now, there is no public benchmark for AI citation volume. No one is talking about citation-per-query rates, daily citation growth curves, or topic-platform fit analysis. There’s no equivalent of “Domain Authority” or “organic traffic” for the AI citation economy.

    Someone needs to be first. I have the data. So here it is.

    If you run a content operation and you haven’t checked your Bing Webmaster Tools AI Performance tab, do it today. You might be sitting on citation data you didn’t know existed. And if you’re building content strategy without accounting for which AI platforms are actually consuming your content, you’re optimizing for one audience while ignoring the one that’s reading you 50 times more often.

    The AI citation economy is already here. The question is whether you’re measuring it.

    Related on Tygart Media: $0.35 article · 16,500 citations · citation economy.

    Frequently Asked Questions

    What are AI citations in Bing Webmaster Tools?

    AI citations are instances where Microsoft Copilot uses your website content as a grounding source in its responses to user queries. They appear in the AI Performance (beta) tab within Bing Webmaster Tools and represent direct attribution — Copilot pulled information from your page and used it to construct an answer for a real user.

    How do I check my AI citation data?

    Log into Bing Webmaster Tools, navigate to the Performance section, and look for the “AI Performance” tab. It’s currently in beta. You’ll see total citations, grounding queries (the actual questions users asked), and daily trend data showing how your citation volume changes over time.

    Why does Copilot cite some content but not others?

    Copilot’s user base is predominantly enterprise workers inside Microsoft 365 applications. They ask operational questions — tool comparisons, pricing details, integration guides, and how-to content related to their daily work. Content that answers specific, task-oriented questions earns citations. Generic listicles, local service pages, and broadly targeted SEO content typically receives zero citations because it doesn’t match what Copilot users are asking.

    What is Platform-Specific AI Optimization (PSAO)?

    PSAO is a content strategy framework that recognizes different AI platforms serve different audiences with different intent patterns. Copilot users are enterprise workers mid-task. ChatGPT users are explorers and researchers. Perplexity users want curated multi-source answers. PSAO means creating content tailored to each platform’s user behavior rather than treating all AI engines as interchangeable.

    Is AI citation data more valuable than traditional search clicks?

    The data suggests AI citations represent a fundamentally different type of content consumption. With a 52:1 ratio of AI citations to human clicks, AI engines are consuming content at dramatically higher volumes. Whether this translates to direct revenue depends on your monetization model, but from a reach and authority perspective, AI citations may represent the larger audience for many content categories.