Part of the Buyer Enablement Series

AI Is Teaching Your Buyers About Your Category. But Who's Teaching AI?

AI has a lot to say about your category.

It speaks with confidence. It draws distinctions. It recommends evaluation criteria. It warns buyers about failure modes and tradeoffs. Considering that 51% of B2B software buyers now begin their research with an AI chatbot more often than with Google, the "voice" of the AI has become the primary narrator of your brand's story.

Who taught it all that?

The Accidental Curriculum

AI learns from sources.

Those sources are whatever happened to exist when the model was trained and whatever it can retrieve now---analyst reports, forum threads, review sites, competitor content, support documentation, and podcast transcripts.

Nobody assembled this curriculum. Nobody vetted it. Nobody decided what a good solution in your category should look like, or what a buyer ought to understand before evaluating. It was scraped together from the internet's accidental output, then compressed into a confident-sounding answer. 90% of B2B buyers now use ChatGPT or similar AI for purchasing research, preferring it 3x over competitors.

That's the curriculum your buyer is reading.

The Short, Uncomfortable List

If you want to know who's teaching AI about your category right now, it's some combination of these:

  • Analyst reports. Broad definitions. Generic capability matrices. Written for the CIO audience a decade ago and still being cited as ground truth.
  • Forum debates. Reddit, Hacker News, Slack archives. Anecdote-driven. Often wrong, always confident.
  • Review sites. Checkbox comparisons. Feature parity theatre. Almost never explain what actually matters.
  • The incumbent. If there's a twenty-year category leader, they set the default frame. Everyone else is defined in relation to them---including you.
  • Your most content-rich competitor. Not necessarily the best. The one that has produced the most structured, coherent, accessible explanation of the problem.

Whichever of these has left the most organized thinking in the training data is your category's current teacher. Is that you?

Why Your Marketing Content Doesn't Teach

Most marketing teams assume AI will eventually catch up to them if they produce enough blog posts, case studies, and positioning pages.

It won't.

AI has strong priors about what is promotional and what is substantive. Superlatives, decorated adjectives, and logo-heavy brand pages do not teach AI; they register as "marketing noise." Buyers are already signaling their distrust of this noise: 69% of B2B software buyers chose a different vendor than originally planned based on AI guidance, often moving toward vendors that provided clearer, reasoning-based answers.

What AI actually draws from is different: Explanations. Frameworks. Tradeoffs honestly acknowledged. Diagnostic logic.

What Teaching Actually Looks Like

Teaching content is not about you; it is about the buyer's problem. It provides the reasoning that AI models crave.

When you provide explicit reasoning about what causes a problem, you are providing "Buyer Enablement." This is critical because 86% of B2B purchases stall during the buying process, often due to a lack of clear internal consensus or understanding of the problem.

Teaching content includes:

  • Frameworks for evaluation with hard tradeoffs named out loud.
  • Honest accounts of what doesn't work, and why.
  • The shape of a good solution, independent of any specific vendor.

Neutrality is the texture of substance. AI reads it as pedagogy, not a pitch.

The Trade Most Marketers Won't Make

Teaching AI about your category means producing content that is genuinely useful even to people who don't choose you.

Most marketing organizations balk at this. Every asset is expected to advance the funnel. But when content is too focused on "selling," it fails to address the 40--60% of lost B2B deals that end in "no decision" due to buyer indecision.

The counterintuitive truth: the content that most effectively pulls buyers into your pipeline is often the content that asks nothing of them at all. By the time a buyer makes contact, they are already 70% through their journey. If you haven't taught them by then, you've likely already lost the deal.

What It Means for You

AI is teaching your buyers whatever it has been taught about your category.

Right now, win rates are eroding---dropping from 29% to 19% across B2B SaaS---as buyers become more skeptical of traditional sales pitches and more reliant on independent AI research.

AI has already picked a teacher for your category. Your only decision is whether that teacher is you.

Sources & References

Continue Exploring

Pipeline Paradox: Your Pipeline Looks Healthy. Your Close Rate Disagrees

What High-Intent Questions Actually Look Like in Your Market

Browse the full library →