B2B AEO, where the shortlist forms before you know.

B2B buyers have long done most of their research before contacting anyone. Assistants accelerate that: a buyer can now get a categorized comparison and a shortlist in one conversation, without visiting a single vendor site. If you are not in that answer, you are not in the evaluation.

What changes in a B2B funnel

The shortlist forms earlier and less visibly. A buyer who once read three vendor sites and a review platform may now ask one question and receive four names.

That compresses the window in which content can influence consideration, and it shifts weight decisively toward third-party sources, because assistants building a vendor comparison lean on review platforms, analyst content and community discussion rather than on vendor marketing.

Building a B2B prompt set

B2B prompts differ from consumer ones in length and specificity. Buyers ask assistants things like “what are the best inventory platforms for a 40-location distributor already on NetSuite”, not “best inventory software”. The prompt set should reflect that: fewer head terms, more constraint-laden questions built from real sales conversations.

The fastest source is your own pipeline. Pull the questions prospects asked in the last twenty discovery calls, the objections raised in lost deals, and the comparisons buyers mentioned. Rewrite each as a question someone would type into an assistant. Forty of those beat four hundred generated keywords, because they describe the market you actually sell into.

Where B2B vendors get named

• Review platforms. Heavily cited in software and services comparisons. Presence, recency and category placement all matter.
• Comparison and alternatives content, including that published by competitors. Being mentioned in someone else's comparison is still being mentioned.
• Community discussion. Practitioner forums carry weight because they read as disinterested.
• Documentation. Public technical documentation is unusually citable, being specific and structured.
• Analyst and industry coverage, where it exists.

What B2B teams should do differently

Stop treating review platform presence as a procurement checkbox and start treating it as a citation channel. Publish comparison content that includes cases where you are not the right answer, because assistants pick up nuance and buyers trust it.

And measure differently: if pipeline sources are shifting toward direct and branded, that may be assistant influence rather than brand strength, and asking at qualification is the only way to find out.

What to publish that assistants actually reuse

Vendor marketing pages rarely get cited because they say what every vendor says. The content that does get reused in B2B answers tends to be specific and checkable:

• Public pricing, or at least pricing structure and the factors that move it.
• Integration and compatibility pages that name the systems you work with and how.
• Honest comparison pages, including the cases where a competitor is the better fit.
• Documentation and implementation guides that answer the questions buyers ask late in evaluation.
• Named customer examples with the problem, the setup and the result.

The GEO research from Princeton and collaborators found that adding statistics, quotations and citations to content improved how often it was surfaced in generated answers. For B2B, that mostly means replacing adjectives with numbers you can stand behind.

Sales and marketing need the same answer

In B2B, assistant influence shows up first in sales conversations: prospects arrive with a shortlist, sometimes with an assistant's summary of your weaknesses. Ask sales to log when a prospect mentions an assistant, and what it said. Those notes are the most useful input a B2B AEO program can get.

If an assistant repeats an outdated limitation (a missing integration you shipped last year, an old pricing model), the fix is usually on third-party sources rather than your own site: the review platform profile, the partner directory, the comparison article that ranks well. Correcting those is slow, but it changes what every assistant says at once.

Frequently asked questions

How does AI search affect B2B buying?

It moves shortlist formation earlier and further out of vendor view. A buyer can get a categorized comparison and four vendor names in one conversation without visiting any vendor site, which compresses the window for influencing consideration.

Where do assistants get B2B vendor recommendations from?

Review platforms, comparison and alternatives content including competitors', practitioner community discussion, public technical documentation, and analyst coverage. Vendor marketing content contributes relatively little.

How should B2B teams measure AI search influence?

Watch for pipeline shifting toward direct and branded sources, and ask at qualification how buyers first heard of you. Self-reported attribution captures what analytics cannot in this channel.

Do B2B buyers really use ChatGPT to shortlist vendors?

Increasingly, particularly for software and professional services. The clearest evidence is usually in your own pipeline: ask new prospects how they built their shortlist and record the answers.

Should B2B companies publish pricing for AI search?

Where commercially possible, yes. Assistants answering cost questions will otherwise use third-party estimates, which are often out of date. Even a range and the factors that move it is more useful than nothing.