Microsoft Copilot guides enterprise buyers across Bing, Edge, and Microsoft 365. Track how your brand appears in B2B AI answers, delivered as clean JSON your team can act on.
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Request:
EN
RU
CN{
"prompt": "Explain SEO ranking factors in 2026", // Required
"engine": "copilot", // Required
"mode": "chat", // Optional
"country": "us", // Optional
"throttling": true // Optional, default true
}
Response:
{
"timestamp": "2026-04-20T12:19:21.231Z",
"traceID": "a1b2c3d4-e5f6-7a8b-9c0d-e1f2a3b4c5d6",
"request_duration": 14.28,
"process_duration": 14.28,
"scraper": "Copilot",
"response": {
"prompt": "whats the best residential proxy provider?",
"text": "The leading SEO tips for 2026 center on AI-readiness, entity-based optimization, technical excellence, and delivering deeply useful, intent-matched content. Winning in 2026 means helping AI interpret your expertise: build topic clusters and entity relationships, use structured data and schema, and create passage-ready content so LLMs can extract accurate snippets. Strengthen foundational SEO by improving crawlability, internal linking, and E-E-A-T signals. Refresh existing content before creating new — updating older pages often produces faster ranking gains. Improve Core Web Vitals and optimize for mobile-first indexing.",
"text_markdown": "**The leading SEO tips for 2026 center on AI-readiness, entity-based optimization, technical excellence, and delivering deeply useful, intent-matched content.**\n\n### 1. Optimize for AI-Driven Search & LLM Discovery\n- Build **topic clusters** and **entity relationships** instead of isolated keyword pages.\n- Use **structured data** and schema to make content easy for AI to cite.\n- Create **passage-ready content** so LLMs can extract accurate snippets.\n\n### 2. Strengthen Foundational SEO (Technical + E-E-A-T)\n- Improve crawlability, internal linking, and site architecture.\n- Demonstrate **E-E-A-T** to become a trusted source for both humans and AI.\n\n### 3. Refresh Existing Content Before Creating New\n- Prioritize pages already ranking on page 2 or low page 1 for quick wins.\n\n### 4. Enhance Technical Performance & User Experience\n- Improve **Core Web Vitals** (speed, interactivity, stability).\n- Optimize for mobile-first indexing.",
"citations_found": true,
"citations": [
{
"id": 1,
"url": "https://moz.com/blog/top-seo-tips-2026-whiteboard-friday",
"title": "Top SEO Tips For 2026 - Moz",
"section": "citations"
},
{
"id": 2,
"url": "https://sitebulb.com/resources/guides/seo-in-2026-17-expert-tips-predictions/",
"title": "SEO in 2026: 17 Expert Tips & Predictions - Sitebulb",
"section": "citations"
},
{
"id": 3,
"url": "https://www.bay20.com/10-practical-seo-tips-that-still-work-in-2026/",
"title": "10 Practical SEO Tips That Still Work in 2026 - bay20.com",
"section": "citations"
},
{
"id": 4,
"url": "https://www.ranktracker.com/blog/improve-seo-2026-guide/",
"title": "How to Improve SEO in 2026: A Complete Guide to Boost Rankings, Traffic ...",
"section": "citations"
}
],
"inline_citations": [
{
"id": 1,
"url": "https://moz.com/blog/top-seo-tips-2026-whiteboard-friday",
"title": "Top SEO Tips For 2026 - Moz",
"text_anchor": "Build topic clusters and entity relationships instead of isolated keyword pages. Use structured data and schema to make content easy for AI to cite."
},
{
"id": 2,
"url": "https://sitebulb.com/resources/guides/seo-in-2026-17-expert-tips-predictions/",
"title": "SEO in 2026: 17 Expert Tips & Predictions - Sitebulb",
"text_anchor": "Improve crawlability, internal linking, and site architecture. Demonstrate E-E-A-T to become a trusted source for both humans and AI."
}
],
"tables": [
{
"title": "Quick Comparison: What Matters Most in 2026",
"table_columns": ["Priority", "Why It Matters"],
"table_rows": [
[{"value": "AI & Entity Optimization"}, {"value": "AI search relies on semantic understanding"}],
[{"value": "Technical SEO"}, {"value": "Crawlability + speed directly impact rankings"}],
[{"value": "E-E-A-T"}, {"value": "AI and users trust authoritative sources"}],
[{"value": "Content Refreshing"}, {"value": "Faster ranking gains than new content"}],
[{"value": "User Experience"}, {"value": "Mobile-first indexing + engagement signals"}]
]
}
]
}
}
Microsoft Copilot grounds its answers in Bing and serves them across Bing.com, the Edge sidebar, Microsoft 365, and Windows. Capturing that user-facing output means real browser sessions, Microsoft authentication, region-aware behavior, and constant adjustments as Microsoft ships UI changes. No official API exposes the consumer-facing Copilot response the way users actually see it.
NetNut handles all of that for you. Send any prompt to a single endpoint and get a complete, structured JSON response with the full Copilot answer, every cited source with passage-level attribution, the comparison tables Copilot generates, plus metadata, ready to feed your B2B brand monitoring, Bing SEO, or buyer intelligence workflows.
Your team gets fast, reliable access at any scale, with multilingual support, mode selection, and zero infrastructure to manage.
Track how Copilot describes your product, ranks you in vendor comparisons, and frames your category for the enterprise buyers researching from inside Microsoft 365.
Understand the AI-mediated buyer journey inside Microsoft tools. See which vendors Copilot surfaces during evaluation queries and what shortlists buyers see first.
Bing powers Copilot's answers, so Bing rankings directly affect AI visibility. Track how Copilot cites your domain and tune content for Bing-grounded queries.
Map how competitors appear in B2B-focused Copilot answers, monitor messaging shifts, and detect emerging vendors before they hit traditional analyst reports.
See how Copilot frames your brand to enterprise buyers, identify content gaps, and align demand-gen messaging with the questions Copilot users actually ask.
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Featured in
Microsoft Copilot ships inside Windows, Edge, Bing, and Microsoft 365, putting AI in front of the largest enterprise software audience on the planet. When buyers research vendors, write RFPs, or compare tools, they increasingly do it through Copilot, and the answer they see is the shortlist they take to procurement. For B2B brands, Copilot visibility is buyer-stage visibility.
Companies that measure Copilot visibility will win more enterprise deals. The ones that don't will lose B2B mindshare inside the Microsoft world without knowing why. Microsoft Copilot Scraper API gives your team the data to win that channel.
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Discover Answers to Your Burning Questions with Our FAQ Section.
A complete structured JSON response with everything Copilot shows for a given prompt: the full AI-generated answer with comparison tables preserved, every cited source with URL and title, passage-level citations that tie each claim to the exact sentence it backs up, plus the mode used and timing metadata. All fields are pre-extracted. No HTML parsing required.
Yes. The API supports city-level geo-targeting and multilingual prompts across 100+ countries. This matters because Copilot’s answers and Bing citations shift by region, especially for enterprise software queries where local market leaders dominate buyer shortlists.
Responses typically return in 10 to 20 seconds because Copilot runs a live web search before grounding each answer. For high-volume use cases the API supports concurrent requests, and you can pass a callback URL so results arrive at your endpoint as soon as each one finishes.
Yes. NetNut maintains and updates the Copilot integration every time Microsoft ships a UI change, new mode, or grounding update. Your API calls and JSON schema stay consistent regardless of what Microsoft changes on the backend, so your dashboards and pipelines never break.
Yes. The API lets you pick chat (quick conversational answers), reasoning (deep analytical, best for complex evaluation queries), smart (balanced speed and depth), or study (detailed educational breakdowns). Reasoning mode is especially important for B2B research and procurement queries because it returns more deliberate, citation-heavy answers.
Yes. Scraping publicly available web data is legal in most jurisdictions. Copilot answers are publicly accessible to any user, and extracting that data for B2B research, brand monitoring, and business intelligence is a widely accepted practice. NetNut’s infrastructure is built to operate within ethical and legal limits.
Pricing depends on your query volume and use case. NetNut offers flexible plans for teams of all sizes, from B2B startups testing visibility to enterprises monitoring thousands of buyer-intent prompts daily. Contact the team for a quote or check the pricing page for current plan details.
Yes. NetNut offers a free trial so you can test the API with real prompts before committing to a plan. No complex setup required — sign up, get your credentials, and send your first request within minutes.
The API works with any language that can send an HTTP request. NetNut provides ready-to-use code examples in Python, JavaScript, PHP, and cURL so you can integrate quickly regardless of your stack.
Sign up for a NetNut account, get your API credentials, and send your first request to the LLM Scraper endpoint. The API accepts standard requests with Basic Auth and full documentation is available at help.netnut.io. If you need help with your first integration, the team is available to assist.
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