Before selling to AI agents, can they understand your offer?

A buyer's agent should be able to determine what you provide, whether it meets the stated requirements and which conditions affect the purchase. Start with those questions before designing a transaction workflow.

Revensi’s Agent-Readable Offer Publisher organises product and service information into clear offer details. The task depends on approved facts and versioned pricing and delivery information.

Check whether the offer explains:

• What is included and what is excluded.
• Who or what the offer is suitable for.
• How pricing is determined and which conditions apply.
• What availability or delivery information still needs confirmation.

A clearly formatted offer can still be wrong or incomplete. Assign an owner to the underlying facts and define what happens when prices or delivery capacity change.

Resolve conflicts using the authoritative record before making the information available to buyers. Do not ask an agent to choose whichever version sounds most plausible.

In a hypothetical service offer, a public page describes a standard delivery period while a current capacity record shows that the next start date is later. The offer should make the distinction clear rather than present the general duration as immediate availability.

This framework concerns information quality. It does not imply that a particular format guarantees selection by external assistants or inclusion in their recommendations.

An enquiry agent should answer within approved evidence and provide the source for material product and policy claims. The Source-Backed Buyer Enquiry blueprint uses product details and policies while respecting disclosure boundaries.

A hypothetical buyer may ask whether a standard offer includes a private contractual concession granted to another customer. The existence of that concession does not make it a general entitlement or information the agent can disclose.

Test questions about:

• A supported feature or service inclusion.
• A requirement the offer does not meet.
• An ambiguous condition needing clarification.
• Information restricted to a particular account.

A useful answer can say that evidence is missing and identify the next question. Do not require every enquiry to end with a confident recommendation.

Use a fixed set of buyer briefs and an explicit assessment rubric. The Buyer-Agent Selection Test Lab tests understanding and fit against a defined offer evidence snapshot.

Include positive matches, unsuitable buyers and cases where a missing fact prevents a decision. For each case, record the expected selection, supporting evidence and acceptable clarification. Preserve the offer version so later changes can be compared fairly.

Review errors by type: misunderstood scope, missed exclusion, stale price or unsupported suitability claim. Correct the source or workflow responsible rather than merely changing the wording of the final response.

Report the test's scope accurately. A pass on supplied buyer briefs supports confidence in those cases; it does not establish universal discoverability or readiness to accept payments.

Make the offer understandable and testable before adding purchasing authority. Clear facts, source-backed answers and realistic selection cases provide a useful foundation for buyer-agent interactions.

Choose one offer, resolve its conflicting facts and write buyer questions covering fit, exclusions and uncertainty. Use the results to improve the offer before moving on to quoting or checkout.