Agent-Ready Commerce — One-Pager¶

From Ron Davis — AWS Marketplace discovery & GTM · From listed to bought.

A new buyer just showed up: the AI agent doing the research and, increasingly, the purchase. It doesn't skim your homepage or sit through a demo. It parses, compares, and acts. Here's how to be the product it picks.

The shift in one line: for a decade we optimized for a human who already knew our name. The agent doesn't. It evaluates on structured, unambiguous, machine-readable signals — and it transacts on clear units and predictable cost. Being listed is the on-ramp; being legible and transactable is how you get bought.

The four things an agent needs¶

Discoverable — found when it's solving a task. Claim requirement-shaped queries ("X for HIPAA", "X with SSO"), structure your categories, keep docs and pricing crawlable — not locked behind a form or a video.
Machine-legible — capabilities, limits, inputs/outputs, and integrations in literal, consistent terms. If an agent can't summarize you correctly, it can't recommend you.
Transactable — clear units, predictable cost, terms an agent can accept without a human handshake (private offer, standard contract, or metered). "Contact us for pricing" is a dead end to a bot.
Data-as-a-product — if you sell data or AI, be explicit about licensing for training vs. inference-time retrieval vs. agentic tool-use. Each is a different unit of value bought differently.

The agent-ready checklist (ordered by impact)¶

1. Machine-legible product statement — what it is, the exact job it does, inputs/outputs, in unambiguous nouns.
2. Trigger tasks listed — "when an agent is doing X, you are the right tool," phrased as an agent would query it.
3. Deterministic pricing — expressible as data; no "contact us" on the base path.
4. Structured specs — integrations, constraints, limits an agent can match to a requirement.
5. Programmatic purchase path — private offer / standard contract / metered route that starts without a human in the loop.
6. Crawlable proof — outcomes, security posture, docs in text an agent can read — not trapped in images or gated PDFs.
7. Identity graph — consistent name, category, and links across listing, site, and docs so an agent resolves "you" to one entity.

Human-tuned vs. agent-ready¶

Human-tuned (today)	Agent-ready (next)
"The leading platform for modern teams."	"Incident-response automation for AWS. Input: CloudWatch alerts. Output: triaged root cause + runbook."
Pricing behind "Contact sales."	"$X per host/month, metered, standard contract."
Proof in a customer-story video.	"Cut MTTR 51% at [named customer]" — in text, on the page.
Value in a clever tagline.	Value in literal capabilities an agent can match to a need.

The test: hand your listing to an LLM and ask "what does this do, who's it for, and what does it cost?" If the answer is vague, hedged, or wrong, that's what the buyer's agent will conclude too. Clarity for the agent is clarity for the human.

Get ahead of your category. Agent-as-buyer is early — which is the whole opportunity. Book a free 30-min call → https://calendly.com/itsrondavis/vellocity-gtm-discovery-30-min Weekly GTM teardown → https://itsrondavis.substack.com