AI Agents Are Changing How B2B Buyers Find You

Agentic commerce is mostly considered a consumer trend. Shoppers use AI Agents to find sneakers, groceries, or flights for their next vacation. However, executives are also using Agentic AI to shop. They’re researching vendors, comparing offers, and deciding which companies to hire without ever getting on a sales call. 

Axios recently reported that major brand-name CMOs are highly focused on Agentic commerce and how AI Agents will increasingly make choices for consumers. The same applies to B2B marketers, but with much higher stakes. Sure, a consumer agent will compare a few product options, but in B2B, AI Agents empower executive decision-making. CFOs use AI Agents to compare vendors, procurement leaders use AI to narrow a shortlist, and legal teams use AI to review claims. 

Further, AI Agents will decide which companies look relevant enough to include in response to prompts and queries. They will summarize your offer before your sales team ever gets a chance to pitch. Worst of all, they can reduce your positioning and miss what makes you valuable if your market presence doesn’t meet their requirements. 

Although the AI Agent will not make the final decision, it does decide what the decision-maker sees, understands, and prioritizes. So AI Agents must be included in your B2B marketing strategy.

B2B Buying Was Already Moving In This Direction

Yes, AI Agents are new to the market. However, what they are doing is not new. In fact, they are simply accelerating a buying environment that was already becoming more independent, more digital, and more self-directed. Gartner reported in March that 67% of B2B buyers prefer a rep-free buying experience, and 45% of buyers used AI during a recent purchase. Further, in another report, Gartner found that 70% of B2B buyers prefer a completely digital, self-service buying experience, while 69% still turn to sales reps to validate AI-generated insights. 

B2B buyers have been doing more of their own research. They’ve skipped the sales conversations. However, they still need validation. They still need to know that what they are reading is accurate, relevant, and safe to act on. Agentic AI meets that need by helping buyers compare companies faster.

Ultimately, this is a good thing because it can help decision makers find better vendor fits. However, if the AI does not understand your offer, your buyer will not either, and unfortunately, you could lose them at that point in the funnel. 

For years, companies have relied on sales calls, discovery meetings, and follow-up conversations to explain their offerings. However, now, before a buyer ever speaks to your sales team, they already have an AI-generated summary of your business, your competitors, and your likely fit. So you want to make sure the information their AI Agent provides is accurate, so you don’t lose these qualified leads. 

AI Ignores Vague Offers

AI Agents do not like vague offers because they are hard to understand, verify, or match to a specific buyer need. If your offer is buried under broad positioning, vague service language, or thin proof, an AI tool has very little information about your brand to work with. So it may end up summarizing you as another generic vendor, skipping your strongest differentiators, or recommending a competitor with clearer information. In an AI-mediated buying process, the clearer your offer, the more visibility you have with AI Agents. 

Unfortunately, Axios reported that brands cannot simply repurpose existing content for AI commerce because AI tools need fuller conversational context, not just keywords. So, on top of the marketing content you need to produce for search visibility, campaign needs, and thought leadership calendars, you now have to create marketing content for structured understanding. 

Structured content needs to explain: 

• What you do

• Who it is for

• What problem does it solve

• What makes it different

• What proof supports the claim

• What kind of buyer should choose you

It sounds really basic, but you’d be surprised at how many companies never needed to develop these basic messaging frameworks before now. 

Further, many companies use broad language to avoid narrowing the market. They describe capabilities rather than offers and discuss expertise without explaining its benefits. Worst of all, they use endless buzzwords like “full-service,” “innovative,” and “trusted” that don’t differentiate them from their competitors. AI cannot distinguish between a half-dozen “innovative” companies that provide the same basic capabilities and expertise. 

You must be very specific about what makes your brand different from your competitors, and you must present that information in a structured way that AI can use.

Content Is Now Part Of Your Decision Infrastructure

The biggest shift AI Agents bring for B2B marketers is that content has to become part of the company’s decision infrastructure. So all of your content including: Your website, sales enablement, thought leadership, case studies, technical documentation, FAQs, comparison pages, and customer proof all need to work together. They do not need to repeat the same copy, but they must support the same business truth. 

Both your buyer and their AI assistant should all be able to understand the same core points:

• What do you sell?

• Who is it for?

• What business problem does it solve?

• When are you the right fit?

• When are you not the right fit?

• What outcomes can a buyer reasonably expect?

• What proof supports your claims?

• How do you compare to alternatives?

• What does implementation or engagement look like?

• Why should a buyer trust you?

These questions have always mattered, it’s just that now AI simply raises the cost of not answering them clearly.

First-Party Data Is A Relationship Strategy

Axios also reported that CMOs emphasized the importance of first-party data as AI becomes more involved in shopping and brand discovery.  First-party data is the information a company collects directly from buyers, prospects, and sales interactions. It can include everything from website behavior to support questions to sales feedback. 

As AI becomes part of buyer research, first-party data matters because AI Agents can only recommend what they understand and can match to a buyer’s needs. Your own data tells you what your real buyers care about, what questions they ask, and which offers close the deal. B2B marketers can use that first-party data to create stronger content. The better your first-party data, the better you can structure your content around real buying criteria instead of guessing. 

In an AI-driven buying process, first-party data helps you teach both the buyer and the buyer’s AI Agent what you do, why it matters, and when you are the right choice.

Trust Still Earns The "Yes"

There is a temptation to create AI-friendly content by making everything more technical, structured, and machine-readable. However, remember, AI Agents are just at the top of the funnel. For the rest of the funnel, you are still communicating with human B2B buyers, considering risk, their budget, and the needs of other stakeholders. They are still people looking for a vendor to solve a real problem that affects their operations, reputation, or revenue.

AI Agents help B2B Buyers research, compare options, and summarize claims. However, Axios reported that marketers still see customer relationships and trust as areas where brands hold an advantage that AI cannot replace. For B2B brands, the goal is to build a market presence that machines can understand and humans can believe.

The B2B Marketing Funnel Has Changed

The next era of B2B marketing will reward companies that are clear, structured, and relationship-driven. So what does that mean for your content? You need:

• Clear offers

• Organized information

• Informative first-party data

• Useful proof

• Sharper comparison logic

• Honest thought leadership

• Alignment between what marketing says, what sales explains, and what customers experience.

You also need to ask a new question of all your content:

“Can a buyer, or the AI helping that buyer, understand why we are the right choice?”

Agentic AI changes the B2B buyer journey by adding a new opportunity at the top of the funnel. Fundamentally, this is an exciting change. However, it may not feel exciting, as most B2B marketing departments are barely catching up with everything as it is, and adding a whole new line of content really turns up the pressure. 

If you're feeling the pressure, Borrowed Pen is here to support all of your Agentic AI and other B2B marketing needs. Read more about how we write for B2B buyers, AI, and regulators all at the same time. Then if you think we're fit:

>>Book A Call.