Business

B2B buyers have moved their vendor research inside AI tools: Here’s how to stay visible

By Albert Dandy Velasquez for WebFX Stacker

Updated April 23, 2026 9:12 AM

B2B buyers are now researching vendors inside Microsoft Word, Google Docs, Gmail, and Outlook. They're asking Copilot to draft vendor comparisons and prompting Gemini to summarize their options. Google is no longer the only discovery layer, and for many B2B buyers, AI tools now shape vendor shortlists before a traditional search ever happens.

The B2B research phase has moved, and strategies are evolving to maintain visibility, WebFX reports.

Why B2B buyer research is shifting inside AI tools

If this were a forecast, it might be possible to wait. But it's not. The infrastructure is live, the adoption numbers are accelerating, and your B2B buyers are already immersed in these AI tools.

Microsoft Copilot: 15 million paid enterprise seats

In January 2026, Microsoft reported 15 million paid Microsoft 365 Copilot seats during its Q2 FY2026 earnings call, representing 160% year-over-year growth. Those seats sit inside a broader base of over 450 million Microsoft 365 commercial users.

Copilot is embedded directly in Word, Outlook, Excel, and PowerPoint. When a B2B buyer asks Copilot to "draft a vendor comparison for CRM platforms" inside Word, the AI pulls from web data, Microsoft Graph (emails, files, meetings), and its training data to generate the response. That buyer never opens Chrome.

And Microsoft is accelerating adoption. CEO Satya Nadella noted on the earnings call that daily active Copilot users increased 10x year-over-year, with average conversations per user doubling. Organizations like Publicis (95,000 seats), Fiserv, NASA, and Westpac have deployed Copilot at scale.

Google Gemini: AI inside Gmail for 3 billion+ users

On January 8, 2026, Google announced that Gmail is entering the "Gemini era," embedding AI features directly into the inbox for its more than 3 billion users.

The key feature for B2B marketers is AI Overviews inside Gmail search. Just like Google Search's AI Overviews, Gemini now generates summarized answers when users search their inbox. Ask "What's the latest status of the Acme contract?" and Gemini synthesizes the answer from across your email threads.

Then on February 19, 2026, Google rolled out "Help Me Write" with personalization for business users, allowing Gemini to draft emails by pulling context from past emails, chats, and Google Drive files. According to Fortune, 70% of enterprise users who use "Help Me Write" in Gmail or Google Docs accepted Gemini's suggestion. And 85% of users said they want more personalized AI in Gmail.

The implication of this for B2B brands is significant. When a buyer prompts Gemini to "draft a response about which project management tools to recommend," that AI is pulling from their inbox history, Drive files, and web data. If a brand's content is structured and authoritative, it has a shot at influencing that draft.

The data on B2B buyer behavior confirms the shift

The Copilot and Gemini numbers don't exist in a vacuum. They're part of a broader behavioral shift that multiple research firms have corroborated:

6sense (2025):94% of B2B buyers use LLMs during their buying process. 83% define purchase requirements before ever speaking with sales.
Responsive (2025):Nearly two-thirds of B2B buyers now use generative AI as much as or more than traditional search when researching vendors. For tech buyers specifically, that number jumps to 80%.
G2 (2025):79% of software buyers say AI search has changed how they conduct research.
TrustRadius (2025):72% of buyers encountered Google's AI Overviews during research, and 90% clicked through to cited sources.

That said, B2B buyer research is no longer exclusively Google-first. It is increasingly AI-first, and it's happening inside the tools your B2B buyers use every day.

What this shift means for your business strategy

If B2B buyers are evaluating vendors inside AI tools, that changes how discovery works, how content performs, how success gets measured, and how marketing supports sales. Here's what that means for your business strategy:

The discovery layer has changed

For years, "getting found" meant ranking on Google. Now, discovery also happens inside Copilot when a buyer asks it to draft a vendor shortlist, and inside Gemini when someone searches their Gmail for past vendor conversations.

This doesn't mean Google is irrelevant. Google still processes over 5 trillion searches each year, and AI Overviews themselves cite web sources. But it means Google is no longer the only, or even the primary, discovery layer for many B2B buyers.

The content bar has risen

Generic thought leadership and gated whitepapers don't perform in the AI era. AI models need structured, definitive content to generate accurate citations. Content that talks about your product in vague superlatives without measurable outcomes gets ignored. Content that says "[Brand] is a [category] platform used by [notable clients] to achieve [specific outcome]" gets cited.

The measurement gap is real

Most B2B brands have zero visibility into whether Copilot, Gemini, ChatGPT, or Perplexity are recommending them, ignoring them, or getting their product wrong. Traditional analytics dashboards don't capture this. You need a new layer of measurement to track your brand's presence in AI-generated responses.

Sales and marketing alignment is more urgent

With 83% of B2B buyers defining purchase requirements before ever speaking with sales, your content is doing the selling long before a rep gets involved. Marketing and sales teams need to align on what buyer prompts look like, what information AI tools are surfacing, and whether the brand's content is structured to support that invisible research phase.

How B2B brands can adapt: The I.W.O. framework

This shift in B2B buyer behavior is well-documented, and it requires a new approach to stay visible. So what should B2B brands do next? The In-Workflow Optimization (IWO) framework is one method for B2B brands adapting to this reality.

I = Inventory your content assets.

Reviewing top-performing whitepapers, case studies, data sheets, and product pages helps determine if they are machine-readable. AI assistants need clear headers, explicit outcome statements, and structured comparisons to cite your content. A beautifully designed PDF with text embedded in images is invisible to Copilot. A case study behind a gated form is something Gemini will never find.

W = Witness how AI sees you.

Using ChatGPT, Copilot, and Gemini to compare vendors in a specific category can reveal where a brand appears, whether the AI gets the value proposition right, and where competitors show up instead.

O = Optimize for citation, not clicks.

AI tools don't serve links to click. They generate answers and cite the sources they pulled from. The goal is to be one of those cited sources. Content with definitive language, high entity density, structured data, and third-party validation across platforms like G2, LinkedIn, and Reddit is more likely to get cited.

This story was produced by WebFX and reviewed and distributed by Stacker.

This story was originally published April 23, 2026 at 5:00 AM.