Skip to main content
← Back to Blog

Guide

How to Optimize Your Website for Microsoft Copilot & Bing AI Search

Microsoft Copilot is embedded in Windows, Edge, Bing, and Office 365, reaching over a billion users. When someone asks Copilot about your industry, will it recommend your brand? Here's the definitive playbook for making sure it does.

Why Microsoft Copilot Matters for Your Brand

Microsoft Copilot isn't just another chatbot. It's the AI layer woven into the software stack that over a billion people use every day. Copilot is embedded in Windows 11 (the sidebar), Microsoft Edge (the browser), Bing Search, Outlook, Word, Excel, PowerPoint, and Teams. That kind of distribution is unmatched by any other AI assistant.

According to Gartner, 25% of search volume is shifting to AI-powered experiences by 2026. A Wynter survey found that 84% of B2B CMOs now use AI tools for vendor discovery, and AI-referred visitors convert at 4.4x higher rates than standard organic (ConvertMate, 2025). Microsoft Copilot captures a disproportionate share of this shift because it reaches users where they already work: inside Office apps, the Windows taskbar, and the Edge browser.

For B2B companies in particular, the Copilot for Microsoft 365 angle is critical. When a procurement manager asks Copilot inside Outlook, "What are the top cybersecurity vendors for mid-market companies?", the answer draws on both their organization's internal documents and the public web via Bing. If your website isn't optimized for Bing's index, you're invisible in these enterprise conversations.

The stakes are high: research shows that only 30% of brands stay visible in back-to-back AI responses. Each query is a new opportunity to appear or disappear. If you're not actively optimizing for Copilot, your competitors are capturing those recommendations instead.

Key insight

Copilot's distribution advantage means it influences buying decisions at scale, from a developer searching in Edge to a CFO asking questions in Excel. Optimizing for Copilot is really about optimizing for the Bing ecosystem that powers it. Learn more about the broader landscape in our guide to Generative Engine Optimization (GEO).

How Microsoft Copilot Generates Answers

Understanding Copilot's answer pipeline is essential for optimizing your content. Unlike ChatGPT's "Browse with Bing" feature (which triggers only when the model decides it needs live data), Copilot is designed to be web-grounded by default. Here's how the pipeline works:

1. Query processing

The user's question enters the Prometheus model, Microsoft's proprietary orchestration layer. Prometheus interprets the query, determines intent, and decides whether to ground the response in web data, internal data (for Microsoft 365), or both.

2. Bing index retrieval

For web-grounded queries, Prometheus sends optimized search queries to Bing's index. It retrieves a set of candidate results (typically 10-20 pages) ranked by Bing's standard ranking signals: content quality, authority, structured data, freshness, and backlinks.

3. Grounding and safety filtering

The retrieved content is used to "ground" the AI response by anchoring claims in actual web sources. Microsoft applies responsible AI filters to remove harmful, misleading, or low-quality content before it enters the response.

4. Response generation with citations

The LLM synthesizes a coherent answer from the grounded sources and inserts inline citations. Copilot typically cites 3-8 sources per response, with clickable links that drive traffic directly to the cited pages.

The critical takeaway: Copilot's answer quality depends directly on Bing's index quality. If your page isn't well-indexed in Bing, Copilot literally cannot find it. This is why Bing optimization is the foundation of any Copilot strategy, not an afterthought.

For the broader context on how AI engines differ, see our guides on Answer Engine Optimization (AEO) and AI search KPIs to track.

BingBot & BingPreview: The Crawlers That Feed Copilot

Microsoft uses two primary crawlers that directly affect your Copilot visibility:

  • 1.
    BingBot: The main crawler that indexes your content for Bing Search. This is the workhorse that determines whether your pages appear in Bing results and, by extension, in Copilot's grounded responses. BingBot respects robots.txt directives, crawl-delay settings, and sitemap submissions.
  • 2.
    BingPreview: A secondary crawler that generates page previews for Bing's search results, Edge browser link previews, and Copilot's citation cards. BingPreview renders JavaScript, captures screenshots, and extracts metadata. Blocking BingPreview won't prevent indexing, but it degrades how your content appears in Copilot citations.

Here's the recommended robots.txt configuration for maximum Copilot visibility:

# Allow Microsoft crawlers for Copilot visibility
      User-agent: bingbot
      Allow: /
      Crawl-delay: 1

      User-agent: BingPreview
      Allow: /

      # Also allow other AI crawlers
      User-agent: GPTBot
      Allow: /

      User-agent: ChatGPT-User
      Allow: /

      User-agent: ClaudeBot
      Allow: /

      User-agent: PerplexityBot
      Allow: /

      User-agent: Google-Extended
      Allow: /

      # Sitemap
      Sitemap: https://yourdomain.com/sitemap.xml

A common mistake is blocking bingbot with a blanket Disallow: / rule, or using a wildcard User-agent: * block that inadvertently covers BingBot. Always check explicitly.

For a complete walkthrough of configuring robots.txt for every AI crawler, see our robots.txt for AI crawlers guide. You can also track which AI crawlers are visiting your site in real time.

Key Optimization Tactics for Microsoft Copilot

1. Implement the IndexNow Protocol

IndexNow is the single most underutilized tool for Copilot optimization. It's an open protocol (co-developed by Microsoft and Yandex) that lets you instantly notify Bing when you publish or update content. Instead of waiting hours or days for BingBot to discover changes on its own crawl schedule, IndexNow triggers near-instant re-indexing.

Here's why this matters for Copilot: since Copilot's answers are grounded in Bing's index, any delay between publishing and indexing is a delay in reaching Copilot users. IndexNow closes that gap to minutes.

To implement IndexNow:

  • Generate an API key at bing.com/indexnow
  • Host the key file at your domain root (e.g., yourdomain.com/your-key.txt)
  • Send a POST request to the IndexNow API every time you publish or update a page
  • For CMS platforms: WordPress has IndexNow plugins; Next.js sites can integrate it into their build pipeline
# IndexNow API call example
      curl -X POST "https://api.indexnow.org/indexnow" \
        -H "Content-Type: application/json" \
        -d '{
          "host": "yourdomain.com",
          "key": "your-api-key",
          "urlList": [
            "https://yourdomain.com/updated-page",
            "https://yourdomain.com/new-blog-post"
          ]
        }'

Data shows that 50% of AI citations come from content less than 13 weeks old (Amsive 2026), with AirOps measuring a greater-than-3x citation penalty for content older than 3 months. IndexNow ensures Bing knows about your updates the moment they go live, maximizing this freshness advantage.

2. Claim and Configure Bing Webmaster Tools

Bing Webmaster Tools is your direct communication channel with Microsoft's search infrastructure. Many website owners only use Google Search Console and neglect Bing. That is a significant missed opportunity given Copilot's reliance on the Bing index.

Inside Bing Webmaster Tools, you should:

  • Submit your XML sitemap: This tells Bing exactly which pages exist and how often they change
  • Use the URL Submission tool: Manually submit critical pages for immediate crawling
  • Review crawl errors: Fix any 404s, redirect chains, or access issues that prevent BingBot from indexing your content
  • Enable IndexNow: Bing Webmaster Tools has built-in IndexNow integration
  • Monitor search performance: See which queries drive Bing traffic and optimize those pages for Copilot

3. Prioritize Structured Data

Bing has historically placed more weight on structured data than Google. This carries directly into Copilot: well-marked-up pages are easier for the Prometheus model to parse, ground, and cite accurately. The structured data acts as a machine-readable summary of your content.

Focus on these schema types for Copilot optimization (we cover these in detail in the schema markup for AI search guide and the JSON-LD guide):

  • Organization: Name, description, URL, logo, sameAs links to social profiles
  • FAQPage: Question-answer pairs that Copilot can directly extract
  • Article: Headline, author, datePublished, dateModified for blog content
  • Product: Name, description, price, availability, reviews
  • HowTo: Step-by-step instructions that Copilot can summarize

4. Optimize for Content Freshness

Bing's ranking algorithm weighs content freshness more heavily than Google's does. This preference flows directly into Copilot: when multiple sources cover the same topic, Copilot tends to cite the most recently updated one.

Build a content refresh cadence:

  • Update key landing pages and pillar content at least monthly
  • Add dateModified to your Article schema and keep it accurate
  • Use IndexNow to notify Bing immediately after every update
  • Add timestamps visible on-page (both users and AI value seeing when content was last updated)

5. Leverage Social Signals

Bing has always valued social signals more than Google. Pages that are shared, discussed, and linked on LinkedIn, Twitter/X, and Facebook tend to rank higher in Bing, and therefore appear more frequently in Copilot answers. Since Microsoft owns LinkedIn, the connection between LinkedIn engagement and Bing ranking is particularly strong.

When you publish new content, share it on LinkedIn and other platforms. Include sameAs links in your Organization schema pointing to your social profiles. This signals to Bing that your brand has real authority and engagement.

How Each AI Engine Discovers Content

Each major AI engine uses a different pipeline for finding and citing web content. Understanding these differences is key to a cross-platform GEO strategy:

FactorMicrosoft CopilotChatGPTPerplexityGemini
Primary data sourceBing index (always grounded)Training data + Bing browsingReal-time web search (multi-engine)Google Search index
Key crawlerBingBot / BingPreviewGPTBot / ChatGPT-UserPerplexityBotGoogle-Extended / Googlebot
Instant index protocolIndexNow (native support)None (relies on Bing's schedule)None (real-time search)Google Indexing API
Freshness weightVery high (Bing prioritizes)Medium (depends on browsing)Very high (real-time)High
Social signalsStrong (LinkedIn owned by MS)MinimalMinimalModerate
Structured data impactVery strongStrongModerateStrong (Knowledge Graph)
User distributionWindows, Edge, Office 365 (1B+)ChatGPT app/web (~200M weekly)Perplexity app/web (~15M monthly)Google Search, Android (2B+)
Enterprise presenceDeep (M365 integration)ChatGPT Enterprise/TeamPerplexity Enterprise ProGoogle Workspace Gemini

For companion optimization guides, see our posts on ChatGPT optimization, Perplexity SEO, and Gemini optimization.

Microsoft-Specific Schema Markup That Moves the Needle

While all search engines consume Schema.org markup, Bing places particular emphasis on certain schema types. Here are the schemas that have the most impact on Copilot visibility:

Organization Schema

This is your brand's identity card for AI. Include your name, description, logo, URL, founding date, and (this part is critical) sameAs links to your social profiles. Bing uses sameAs to verify your entity across the web:

{
        "@context": "https://schema.org",
        "@type": "Organization",
        "name": "Your Company",
        "url": "https://yourdomain.com",
        "logo": "https://yourdomain.com/logo.png",
        "description": "Clear, factual description of what you do",
        "foundingDate": "2020",
        "sameAs": [
          "https://linkedin.com/company/yourcompany",
          "https://twitter.com/yourcompany",
          "https://github.com/yourcompany"
        ]
      }

Product Schema

For SaaS companies and e-commerce, Product schema is essential. Copilot frequently answers comparison queries ("best project management tools," "top CRM software") and pulls pricing, features, and review data directly from Product schema:

{
        "@context": "https://schema.org",
        "@type": "Product",
        "name": "Your Product",
        "description": "What it does, concisely",
        "offers": {
          "@type": "Offer",
          "price": "49",
          "priceCurrency": "USD",
          "availability": "https://schema.org/InStock"
        },
        "aggregateRating": {
          "@type": "AggregateRating",
          "ratingValue": "4.7",
          "reviewCount": "152"
        }
      }

HowTo Schema

Copilot excels at answering procedural questions. If your content includes step-by-step instructions, HowTo schema helps Copilot parse and present your steps accurately:

{
        "@context": "https://schema.org",
        "@type": "HowTo",
        "name": "How to Set Up IndexNow",
        "step": [
          {
            "@type": "HowToStep",
            "name": "Generate API key",
            "text": "Visit bing.com/indexnow and generate your unique API key"
          },
          {
            "@type": "HowToStep",
            "name": "Host key file",
            "text": "Upload the key file to your domain root directory"
          },
          {
            "@type": "HowToStep",
            "name": "Send notifications",
            "text": "POST to the IndexNow API whenever you publish or update content"
          }
        ]
      }

For a deep dive on structured data implementation, see our schema markup for AI search and JSON-LD SEO guide.

The Enterprise Angle: Copilot for Microsoft 365

Copilot for Microsoft 365 is where AI search meets enterprise procurement, and it's a game-changer for B2B brands. Available to organizations with Microsoft 365 E3/E5 licenses, it's embedded directly in Word, Excel, PowerPoint, Outlook, and Teams.

Here's what makes enterprise Copilot different: it combines internal organizational data (emails, SharePoint documents, Teams conversations, OneDrive files) with web-grounded results from Bing. When a user asks Copilot a question inside an Office app, the answer may draw on both their company's internal knowledge and public web content.

Consider these enterprise scenarios where your website content directly influences Copilot's recommendations:

  • Vendor research in Outlook: "Summarize the top cloud security vendors for mid-market companies"
  • Competitive analysis in Word: "Create a comparison table of project management tools with pricing"
  • Market research in Teams: "What are the emerging trends in AI-powered marketing platforms?"
  • Proposal preparation in PowerPoint: "Find data on ROI benchmarks for CRM implementations"

In each case, Copilot retrieves web content from Bing to supplement the organization's internal data. Your well-optimized website becomes a source that influences enterprise buying decisions, even when the buyer never visits your site directly through a browser.

Why this matters for B2B

With 84% of B2B CMOs using AI for vendor discovery (Wynter), enterprise Copilot is becoming a critical channel for B2B pipeline generation. Your website doesn't just need to rank. It needs to provide the structured, factual content that Copilot can cite in enterprise contexts. Think of it as a new kind of sales channel that you optimize for, not sell through directly.

The Foglift Flywheel: Optimize, Index, Monitor, Analyze, Improve

Copilot optimization isn't a one-time project. AI answers change constantly. Remember, only 30% of brands maintain visibility in consecutive AI responses. You need a continuous improvement cycle:

1
Optimize: Publish AI-ready content with structured data, clear entity definitions, factual density, and HowTo/FAQ schemas
2
Index: Push updates to Bing instantly via IndexNow. Monitor BingBot crawl patterns to ensure your content is being discovered.
3
Monitor: Track your brand mentions across Copilot, ChatGPT, Perplexity, and Gemini. See who's being recommended and who isn't.
4
Analyze: Understand sentiment, identify content gaps, compare your visibility against competitors across AI engines
5
Improve: Act on AI-powered content recommendations to close visibility gaps and capture more Copilot citations

This is the same flywheel approach that Foglift applies across all AI engines. With Copilot specifically, the IndexNow integration in step 2 creates a tighter feedback loop. Your improvements reach Copilot's grounding data faster than with any other AI engine.

How to Monitor Your Copilot Visibility with Foglift

You can't improve what you don't measure. Monitoring your brand's presence in Copilot answers requires a different approach than traditional rank tracking. There are no "positions" in AI search. There are only mentions, citations, sentiment, and competitive share.

Foglift's AI Brand Visibility tool tracks your brand across multiple AI engines, including Copilot. Here's what to monitor:

  • Brand mention rate: How often does Copilot mention your brand when users ask about your industry or category?
  • Sentiment analysis: Is Copilot presenting your brand positively, neutrally, or with caveats?
  • Competitor comparison: Which competitors are being mentioned alongside (or instead of) your brand?
  • Citation sources: Which of your pages are actually being cited? This tells you what content to prioritize for updates.
  • Crawler activity: Is BingBot regularly visiting your key pages? Gaps in crawling mean gaps in Copilot visibility.

Set up weekly monitoring to catch visibility fluctuations early. When you notice a drop, investigate whether it's a content freshness issue, a crawling problem, or a competitor publishing stronger content on the same topic. Learn more about measuring AI search performance in our AI search KPIs guide.

Microsoft Copilot Optimization Checklist

Frequently Asked Questions

How does Microsoft Copilot decide which websites to cite?
Microsoft Copilot uses Bing's search index as its primary source for web-grounded answers. It retrieves pages via BingBot crawling, ranks them using Bing's ranking signals (content quality, structured data, freshness, backlinks, and social signals), then uses the Prometheus model to ground its responses in the most authoritative sources. Pages that are well-indexed in Bing with clear structured data and recent updates are most likely to be cited.
What is the IndexNow protocol and how does it help with Copilot?
IndexNow is an open protocol that lets you instantly notify Bing (and other participating search engines) when you publish or update content. Instead of waiting for BingBot to recrawl your site on its schedule, IndexNow pushes a notification that triggers near-instant re-indexing. Since Copilot's answers are grounded in Bing's index, faster indexing means your latest content reaches Copilot sooner.
Does Copilot for Microsoft 365 use web content?
Yes. Copilot for Microsoft 365 combines an organization's internal data (emails, documents, Teams chats) with web-grounded results from Bing. When enterprise users ask Copilot about vendors, tools, or industry topics, it pulls from both internal knowledge and the public web. This means your website can influence enterprise buying decisions through Copilot even when users are inside Word, Outlook, or Teams.
How is optimizing for Copilot different from optimizing for ChatGPT?
Both Copilot and ChatGPT rely on Bing's index for web-grounded answers, but there are key differences. Copilot is natively integrated into Windows, Edge, and Office 365, giving it a much larger passive user base. Copilot uses Microsoft's Prometheus model for grounding rather than OpenAI's browsing feature. Copilot also has deeper integration with Bing Webmaster Tools and the IndexNow protocol, meaning proactive Bing optimization has a more direct impact on Copilot visibility than on ChatGPT.

Sources & Further Reading

  • • Gartner, “Predicts 2025: Search Marketing,” Feb 2025: 25% of search volume shifting to AI engines by 2026
  • • Wynter B2B Buyer Survey, 2026: 84% of B2B CMOs use AI/LLMs for vendor discovery
  • • SE Ranking, 2025 (129,000 domains): brand web mentions are the strongest AI citation predictor (35% weight)
  • • Amsive, 2026: 50% of AI citations come from content less than 13 weeks old. AirOps, 2026: 83% of cited content is less than one year old, 60% less than six months, with a greater-than-3x penalty for content older than 3 months.
  • • ConvertMate, 2025: AI-referred visitors convert 4.4x higher than standard organic
  • • Aggarwal et al., KDD 2024: AI citation mechanics and source selection in generative engines

Check your Copilot visibility now

See how Microsoft Copilot and 4 other AI engines currently talk about your brand. Free, no signup required.

Fundamentals: Learn about GEO (Generative Engine Optimization) and AEO (Answer Engine Optimization) (the two frameworks for optimizing your content for AI search engines).

Related reading

Free tool

Run a free Technical Audit for your AI Readiness Score

Audit any URL in 30 seconds. See scores for SEO, AI Readiness, performance, security, and accessibility.

Free Technical Audit

No signup required. Results in 30 seconds.