Clear dimensions
The framework states what is being scored instead of hiding behind a black-box number.
Gobuy by Ehi
Gobuy uses a structured methodology across discoverability, product clarity, trust, conversion, and measurement.
Methodology matters because trust is easier to lose than to claim. Gobuy makes the framework inspectable on purpose.
Section 01
AI buyability is merchant readiness for AI-mediated discovery, evaluation, and purchase behavior. It is about whether a store is easy for AI systems to interpret and easy for shoppers to trust and buy from.
Section 02
The framework states what is being scored instead of hiding behind a black-box number.
Gobuy does not pretend that merchant readiness equals guaranteed engine behavior.
The scoring exists to guide actions, not to create theater around AI commerce.
Section 03
Signal coverage across the surfaces where AI systems find and frame products.
Readable product truth, differentiation, and comparison logic.
Consistency, proof, policies, and confidence signals.
How little friction exists between AI-assisted discovery and checkout.
How well the team can see AI-assisted demand and use it operationally.
Only scored when the business model makes them material.
Section 04
| Area | Gobuy will assess | Gobuy will not claim |
|---|---|---|
| Store readiness | How clear, trustworthy, and purchase-ready the merchant experience appears. | That the store can force rankings, citations, or product placement on external AI systems. |
| Signal quality | Whether product, policy, proof, and structural signals are strong enough to support evaluation. | That every strong signal will be interpreted the same way by every engine. |
| Commercial action | Which merchant-side changes are most defensible to prioritize next. | That the framework removes the need for testing, iteration, or operator judgment. |
Section 05
Gobuy does not claim to control how every AI engine ranks, cites, or routes products. The methodology is designed to measure merchant-side readiness, not to imply guaranteed rankings or conversions.
Section 06
Strengthen structure, differentiation, and attribute quality.
Make policies, proof, and merchant consistency harder to miss.
Smooth the path from evaluation to checkout.
Measure the parts of AI-assisted behavior your team can act on.
Section 07
Section 08
The methodology explains the framework. The benchmark shows how it gets used. The audit is where the framework turns into a merchant-specific issue map and roadmap.
No. The framework is platform-agnostic on the AI side and merchant-specific on the readiness side.
It is explicit about what is measured, what is inferred, and what is outside Gobuy's control.