🎯 Free: get your first AI visibility baseline in 5 min, then refresh it every 7 daysTry it →

Blog
8 min read

Microsoft Copilot — the Most "Informational" AI: What It Means for Your GEO Strategy

Why Copilot handles 48–70% of queries as informational, cites 1.5–2x fewer domains than Perplexity, and how to build a content strategy around its Wikipedia-style answer profile.

Microsoft CopilotBing CopilotGEOGEO optimization
Vladislav Puchkov
Vladislav Puchkov
Founder of GEO Scout, GEO optimization expert

Among the major AI providers, one behaves fundamentally differently from the rest — not in answer quality or speed, but in which content types it favors, whose sources it cites, and who actually uses it. That provider is Microsoft Copilot.

While ChatGPT freely mixes informational, commercial, and transactional queries, and Perplexity aggressively cites dozens of sources, Copilot consistently gravitates toward a single scenario: give a thorough, structured, factual response — the kind you would find in a well-written encyclopedia article. Understanding why this happens, and what to do about it, matters for any GEO strategy targeting a corporate audience.

48–70% Informational: data by vertical

The AthenaHQ State of AI Search 2026 report (Q1 2026) shows Copilot has the highest informational bias among all studied AI providers. The effect is not uniform — it is especially pronounced in specific verticals.

VerticalInformational share — CopilotTypical range — other AI
Real Estate69.91%27–40%
Healthcare51.94%30–42%
Government48.59%28–38%
Tech (various sub-categories)40–48%30–40%
Industry / Manufacturing~38–44%27–38%

The gap with competitors is significant. Where Copilot handles 70% of queries as informational (real estate), most other AI providers stay in the 27–40% range. The Healthcare gap is smaller, but Copilot still leads.

The practical implication: if you are creating content like "top 5 CRMs for small business" or "best SaaS for sales automation", Copilot will likely interpret those queries as informational rather than commercial. It is not looking for "what to buy" — it is looking for "what this is and how it works".

Why Copilot cites so few domains

The second key parameter is diversity of sources — the average number of unique domains cited in a single response. On this metric, Copilot sits at the opposite pole from Perplexity.

AI providerAverage domains per response
Perplexity15–17
ChatGPT12–15
Gemini11–14
Claude10–13
Copilot9–10

Copilot cites 40–50% fewer domains than Perplexity. This is not a bug or a limitation — it reflects architecture. Copilot runs on top of Bing, which has historically favored authoritative, well-indexed sources: Wikipedia, Microsoft Learn, major industry publishers, and government websites. Long-tail content and newer domains rarely break into this set.

For GEO strategy, this is an ambiguous situation. On one hand, competition for a slot in the top 10 cited sources is tighter — Copilot does not spread citations across 15+ domains. On the other hand, once a domain enters that set, citations tend to be more consistent rather than one-off mentions.

For a broader look at how AI providers differ in the number of domains they cite, see domain-citation-rate-kogo-ai-citiruet-napryamuyu.

Copilot's anomaly: 11% Optimization/Improvement in Government

The most unexpected pattern in the data is the Optimization/Improvement intent share. These are queries like "how to improve a process", "best practices for X", "how to optimize Y". For most AI providers, this share is 0.5–1%. For Copilot, the picture is fundamentally different:

VerticalOptimization/Improvement — Copilot
Government11.40%
Healthcare9.54%
Real Estate8.88%
Industry2.64%

In the Government vertical, Copilot processes Optimization queries 11–23 times more often than other AI providers. This is a statistical anomaly that points to a specific audience: government employees, compliance officers, HR directors, and corporate operations managers — people who use Copilot through Microsoft 365 and are looking not for products but for operational solutions.

For content strategy, this is a signal: if your product helps organizations work more efficiently, optimize processes, or meet compliance standards, Copilot is actively handling exactly those queries. Content in the format "how to optimize [process X] for [organization type Y]" has a high probability of appearing in Copilot responses.

How to optimize content for Copilot

Copilot looks for sources that resemble Wikipedia and Microsoft Learn. That translates into a specific set of content requirements.

Factual accuracy over persuasion

Copilot is not looking for "our product is the best". It is looking for precise definitions, verifiable data, and structured comparisons. Every factual claim should be backed by a source or concrete data.

Step-by-step structure

How-to instructions are Copilot's preferred format. Numbered lists, clear steps, specific conditions. If your product solves a process problem — describe exactly how it does that, step by step.

Comparison tables with objective criteria

Copilot handles structured comparisons well: not "our product is better" but "product A supports X, product B supports Y, the difference is Z". Objective criteria, no promotional framing.

Separate pages for each concept

The more atomically your content is broken down, the easier it is for Copilot to cite it. A page titled "what is [term]" works better than a page titled "everything about our product" that mentions the term in passing.

Domain authority through topical depth

Since Copilot cites a narrow circle of domains, systemic authority matters more than individual pieces. Topical depth wins: 20–30 articles on one topic work better than 3 articles spread across 10 different topics.

Who needs Copilot and who can skip it

A direct answer to a question that is rarely discussed in GEO context: Copilot is not a universal target.

Copilot is critical for:

  • B2B SaaS and enterprise products (target users are in Microsoft 365)
  • Companies working with the government sector (Government — 11.40% Optimization intent)
  • Healthcare organizations oriented toward professionals
  • IT companies with corporate market products
  • Consultancies and professional services firms

Copilot can be de-prioritized for:

  • B2C e-commerce (consumers do not use Copilot to choose products)
  • Entertainment content, lifestyle, fashion
  • Markets with low Microsoft 365 adoption
  • Small businesses focused on a mass consumer audience

Practical steps for GEO optimization under Copilot

If your business fits the Copilot target audience, here is a sequenced action plan:

  1. Audit existing content — check whether you have pages with clear definitions of key concepts in your industry. If not, start there.
  2. Build an industry glossary — a set of "what is X" pages on your topic. This is a direct signal to Copilot that the domain is authoritative on the subject.
  3. Rewrite instructions — how-to materials should be numbered, specific, and free of marketing tangents.
  4. Add comparison tables — with objective criteria, not in a "us vs competitors" format.
  5. Create Optimization content — if your product helps optimize processes, write a series of "how to improve [process]" articles for your vertical.
  6. Set up monitoring — track whether Copilot actually cites your domain on real queries. Without data, it is impossible to know whether the strategy is working.

Copilot optimization checklist

  • Pages exist with definitions of key industry concepts
  • Instructions are written as numbered steps
  • Comparative content uses objective criteria, not promotional framing
  • Domain has topical depth (at least 15–20 articles on one subject area)
  • Content exists in "how to optimize [process]" format for your vertical
  • Visibility in Copilot is monitored through a tool like GEO Scout
  • No promotional headlines — factual and process-oriented titles only

Частые вопросы

Why does Copilot handle so many queries as informational?
Copilot inherits Bing search architecture, which has historically been strong on informational queries. Its corporate audience — Office 365, Teams, Windows 11 users — also tends to ask questions like "what is", "how does it work", "what are the best practices" rather than "buy" or "compare prices". This consistently reinforces the informational bias.
What is diversity of sources and why is Copilot low on it?
Diversity of sources is the average number of unique domains cited in a single AI response. Copilot averages 9–10 domains versus 15–17 for Perplexity. Fewer domains means the model relies on a narrower set of authoritative sources — primarily Wikipedia, Microsoft Learn, and major industry publishers. Getting into that set is harder but staying there is more stable.
What is Optimization/Improvement intent and why does Copilot show so much of it?
These are queries like "how to improve a process", "best practices for X", "how to optimize Y". In the Government vertical, Copilot handles 11.40% of queries this way — versus 0.5–1% for most other AI providers. Corporate and government Copilot users frequently seek operational improvements rather than simple information.
Should B2C businesses ignore Copilot?
Generally yes — especially for markets outside North America and Western Europe. Copilot is oriented toward the Microsoft 365 corporate audience. If your target audience is B2C consumers, it is usually more effective to focus GEO efforts on ChatGPT, Perplexity, Gemini, or locale-relevant AI providers.
What should Copilot-optimized content look like?
Factual, structured, without promotional tone. Concept definitions, step-by-step instructions, comparative tables with objective criteria, FAQ sections. Content should resemble a Wikipedia article or Microsoft Learn documentation — clear heading structure, precise data, references to authoritative sources.
How does GEO Scout help track visibility in Copilot?
GEO Scout monitors 10 AI providers daily, including Bing Copilot. The platform shows mention rate, positions, domain citation rate, and intent distribution per provider. This makes it possible to see in real time whether a Copilot-focused content strategy is actually working.