Every SaaS conference I've been to this year has at least one talk titled something like "The Agentic Buyer Is Here." Half the room nods along, half feels like it's being sold urgency it can't verify. Before I spent a sprint restructuring our pricing page for a buyer that might not exist for us yet, I ran three questions instead. They took an afternoon and saved me from shipping a feature nobody was going to use.
Why "just build it" is bad advice
Most of what's published about AI purchasing agents right now comes from vendors selling agent-readiness tooling, or from companies whose deal size and buying process look nothing like ours. The underlying data is real: Forrester counts 94% of B2B buyers using AI somewhere in their most recent purchase, and Gartner expects agents to run something close to 30% of B2B evaluations by 2027. But the "build it now" advice assumes every company sells into the same kind of deal. A founder selling a $40-a-month tool to solo operators and a founder closing a $120k enterprise contract are not the same buyer profile, and they shouldn't spend the same engineering hours here.
Question 1: Does a machine ever evaluate your deal before a human does?
Agent-led evaluation shows up first in self-serve, low-touch sales motions, where a buyer's software, or the buyer directly using ChatGPT, can compare vendors on public information alone: price, feature list, integrations. If your average deal involves a champion collecting internal budget approval, a security review, and a call with your AE before anyone signs, an autonomous agent isn't skipping that process yet. It's assisting the human doing it. That's a much smaller, different optimization problem than being "agent visible" from a cold start.
Score it: if your buyer can complete evaluation without ever talking to you, answer yes. If procurement or legal is a mandatory human step before signature, answer no.
Question 2: Is your pricing and feature information already public and structured?
This is the fastest gut check. Open your own pricing page and ask: could a script that can't render JavaScript and doesn't infer anything extract your price, your plan tiers, and your feature list in under five seconds? If your pricing lives behind a "Talk to Sales" form, or your feature comparison is a marketing PDF, you're already invisible to this channel regardless of what else you build, and that might be a constraint you're keeping on purpose. Enterprise sellers often gate pricing as a qualification filter. If your pricing is already public and mostly structured, the incremental work to make it machine-readable is small, a JSON-LD block and cleaner tables, and worth doing this month.
Question 3: What does either mistake actually cost you?
Compare the two failure modes honestly. The cost of building too early is a few days of engineering time on structured data and a pricing page cleanup, work that also helps human SEO and rarely hurts anything. The cost of waiting too long is appearing on zero AI-generated shortlists while competitors do, in a category where Bain's research puts 95% of B2B purchases going to a vendor that was already on the buyer's first shortlist. Those two costs aren't symmetric. Acting early is small and mostly reversible. Ignoring it compounds quietly, because you won't see the deals you never knew you were being evaluated for.
Scoring the test
If you answered yes on question 1 and your pricing is already public, this is a same-month project, not a someday one. If your sales motion is high-touch and human-gated end to end, deprioritize agent-readiness work and revisit it in two quarters; enterprise buying patterns are moving slower than self-serve ones. If you're genuinely unsure on question 1, that uncertainty is itself the answer: do the low-cost structured-data work, since it doesn't hurt human buyers either, and skip anything that needs real engineering investment until you have evidence agents are actually touching your funnel.
What I'd actually do this week
- Check server logs for GPTBot, ClaudeBot, and PerplexityBot hits on your pricing page. Zero hits after a real check already answers question 1 for now.
- If your pricing is public, add basic Product and Offer schema markup. That's a few hours of work, not a sprint.
- Don't touch your sales process, demo flow, or onboarding for this yet. Those still convert humans, and no agent is signing your contract for you.
The nuance that gets lost
Being agent-visible isn't the same as being chosen. Agents shortlist on the same signals humans use: reviews, clear differentiation, evidence you serve companies like the buyer's. A perfectly structured pricing page attached to a forgettable product just gets excluded faster and more efficiently than before. Fix positioning before you fix machine-readability. An agent that can parse your page perfectly still won't shortlist a vendor with nothing distinct to say.
Frequently asked questions
Do I need to build for AI purchasing agents right now?
Only if your buyers can realistically evaluate and choose without ever talking to a human before you're in the room. If your sales motion is high-touch, this is a should-track item, not a should-build-now one.
What's the fastest way to check if AI agents already visit my site?
Pull 30 days of raw server logs and filter for known agent user agents like GPTBot, ClaudeBot, and PerplexityBot. If those requests are already hitting your pricing or product pages, treat this as active now, not hypothetical.
Does making my pricing page machine-readable ever hurt me?
Rarely. Structured, public pricing data mostly helps human buyers scan faster too, and helps organic search. The exception is companies that deliberately gate pricing behind a sales conversation as a qualification filter; for them, structuring it invites the wrong kind of self-serve evaluation.
Is this actually big, or is it hype?
The buyer-side data is real and growing: 94% AI usage in a recent purchase, and Gartner's estimate of roughly 30% of evaluations running through agents by 2027. The hype is in vendors telling every company, regardless of deal size or sales motion, that it's equally urgent for all of them. It isn't.
What should I deprioritize instead?
If your deals are enterprise and human-gated end to end, don't spend engineering time restructuring for agents yet. Spend it on the parts of your funnel a human is definitely touching today.
Most founders are being told this is universally urgent. It isn't. It's a three-question test away from a clear answer, and for a lot of high-touch B2B sellers, the honest answer this quarter is: track it, don't build it.