The Bing Copilot User: Enterprise Workers Asking Questions Mid-Workflow

When I pulled the Bing AI performance data from one of my managed sites, the number that stopped me was 98,800 citations from Microsoft Copilot in a single reporting period. But the insight wasn’t the volume — it was what Copilot was citing and why. The content that earned those citations looked nothing like what performs on Perplexity or Google AI Overviews. Because the Copilot user is a fundamentally different person, in a fundamentally different context, with fundamentally different needs.

This is the second article in the Platform-Specific AI Optimization (PSAO) series. If you haven’t read the meta editorial on why writing for different AI platforms requires different strategies, start there.

Who Uses Bing Copilot (And Where They’re Using It)

The Copilot user is not a “searcher” in any traditional sense. They’re a worker. They’re in the middle of drafting a document in Word, building a presentation in PowerPoint, preparing for a meeting in Teams, or analyzing data in Excel. They invoke Copilot without leaving their workflow — it’s a sidebar, not a destination.

This creates a user profile that’s radically different from every other AI platform:

• Context: Mid-task in Microsoft 365 — writing, presenting, analyzing, emailing
• Intent: Fill a specific knowledge gap to complete the task at hand
• Time pressure: High. They need the answer now, not a research journey
• Trust model: Implicit trust in Microsoft’s ecosystem. They don’t scrutinize citations the way Perplexity users do
• Output format needed: Something they can paste directly into their document or presentation
• Volume: Enterprise deployment means massive scale — millions of knowledge workers hitting Copilot daily

This is the accountant who asks Copilot “what’s the current depreciation schedule for commercial real estate” while building a client proposal. It’s the marketing manager who asks “what are the key metrics for measuring content marketing ROI” while drafting a quarterly report. It’s the HR director who asks “what are the FMLA requirements for companies with under 50 employees” while updating a policy document.

The 576 Grounding Queries That Reveal Everything

In the 98,800 citations analysis, we broke down the 576 unique grounding queries that generated those citations. The pattern was unmistakable: Copilot users ask definitional, factual, and procedural questions. They’re not exploring — they’re gap-filling.

The top query patterns from the actual data:

• Pricing and cost queries: “How much does X cost?” “What’s the pricing for Y?” — These dominated. Enterprise workers are constantly building budgets, proposals, and cost comparisons
• Comparison queries: “X vs Y” — But unlike Perplexity comparisons, these are shorter and want a definitive answer, not a deep analysis
• Definition queries: “What is X?” — Quick definitions to drop into documents
• Process queries: “How to set up X” — Step-by-step but concise, not comprehensive guides

What Content Wins Copilot Citations

Based on the sites generating the most Copilot grounding citations, specific content formats dramatically outperform others.

Pricing Tables and Cost Breakdowns

Copilot disproportionately cites content with structured pricing information. Tables with clear columns (plan name, price, features included) get pulled into Copilot responses more than any other format I’ve tracked. The enterprise user asking about pricing needs something they can screenshot or paste into a budget spreadsheet. Give them a table.

Comparison Charts with Clear Winners

Unlike Perplexity users who want nuanced trade-off analysis, Copilot users want a decision aid. Comparison content that includes a “best for” recommendation for each option performs well. The worker doesn’t have time to weigh every factor — they need a shortcut to the right choice for their specific use case.

Definitive Statements and FAQ Format

Copilot loves FAQ-formatted content because its grounding engine matches questions to answers. If a user asks “What’s the difference between X and Y?” and your content has an H3 that reads “What’s the difference between X and Y?” followed by a clear 2-3 sentence answer, Copilot will cite you. The pattern-matching is direct.

Citation-Ready Paragraphs

Here’s the subtle insight: Copilot needs to produce text that looks professional enough for the user to paste into their document. This means your content should be written in a tone that works in a business document. Conversational blog-style writing with personality performs poorly on Copilot because the user can’t paste a casual, first-person paragraph into a formal proposal.

How Copilot Grounding Actually Works

Copilot’s citation mechanism is different from other platforms. It uses Bing’s index for “grounding” — pulling factual claims from the web to support its generated responses. Your content needs to be:

1. Indexed by Bing. Obvious, but many sites optimize for Google and ignore Bing. Submit your sitemap to Bing Webmaster Tools if you haven’t
2. Structured with schema markup. Copilot’s grounding engine uses structured data heavily. FAQPage schema, Article schema, and Table schema all improve citation probability
3. Factually dense in the first 200 words. Copilot typically pulls from the opening section of content. Front-load your key facts
4. Updated regularly. Bing’s crawl frequency is lower than Google’s for most sites. Use IndexNow to push updates immediately

Copilot vs Other Platforms: The Key Differences

Actionable Takeaways for Copilot Optimization

1. Build pricing and comparison tables into every relevant article. These are Copilot citation magnets
2. Write FAQ sections with exact-match questions. Copilot’s grounding engine matches user queries to your FAQ headings
3. Use a professional, citation-ready tone. The user pastes Copilot output into business documents — your content needs to fit that context
4. Submit to Bing Webmaster Tools and use IndexNow. You can’t get cited if you’re not indexed
5. Front-load facts. Put the definitive answer in the first paragraph, then expand. Copilot pulls from the top of the page

FAQ

Who is the typical Bing Copilot user?

The typical Copilot user is an enterprise knowledge worker operating inside Microsoft 365 — writing documents in Word, building presentations in PowerPoint, or preparing for meetings in Teams. They invoke Copilot mid-task to fill specific knowledge gaps without leaving their workflow.

What content format earns the most Copilot citations?

Pricing tables, comparison charts with clear recommendations, FAQ-formatted Q&A pairs, and content with structured data markup consistently earn the most Copilot grounding citations. The platform’s enterprise context rewards professional, citation-ready writing over casual blog-style content.

How does Copilot decide what to cite?

Copilot uses Bing’s index for grounding — pulling factual claims from web content to support its responses. Content needs to be indexed by Bing, marked up with schema, factually dense in the opening section, and regularly updated to earn grounding citations.

How many citations can a single site earn from Copilot?

A single well-optimized site can earn tens of thousands of Copilot citations. Tygart Media documented over 98,800 grounding citations from 576 unique queries in a single reporting period, driven primarily by pricing content, comparison articles, and FAQ-formatted pages.

Should I optimize differently for Copilot than for Google?

Yes. Copilot draws from Bing’s index, not Google’s. You need to be indexed in Bing Webmaster Tools, use IndexNow for fast updates, and structure content as tables and FAQ pairs rather than flowing prose. The user context — mid-workflow enterprise tasks — also demands a different writing tone than Google SEO content.