Gobuy by Ehi

How Gobuy measures AI buyability

Gobuy uses a structured methodology across discoverability, product clarity, trust, conversion, and measurement.

Explicit scoringHonest limitationsMerchant-side evidence

Methodology matters because trust is easier to lose than to claim. Gobuy makes the framework inspectable on purpose.

Section 01

What AI buyability means

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

What makes the methodology trustworthy

Clear dimensions

The framework states what is being scored instead of hiding behind a black-box number.

Conservative interpretation

Gobuy does not pretend that merchant readiness equals guaranteed engine behavior.

Commercial intent

The scoring exists to guide actions, not to create theater around AI commerce.

Section 03

Score dimensions

Discoverability

Signal coverage across the surfaces where AI systems find and frame products.

Product clarity

Readable product truth, differentiation, and comparison logic.

Merchant trust

Consistency, proof, policies, and confidence signals.

Conversion readiness

How little friction exists between AI-assisted discovery and checkout.

Measurement

How well the team can see AI-assisted demand and use it operationally.

Cross-border factors

Only scored when the business model makes them material.

Section 04

What Gobuy measures and what it does not claim

AreaGobuy will assessGobuy will not claim
Store readinessHow clear, trustworthy, and purchase-ready the merchant experience appears.That the store can force rankings, citations, or product placement on external AI systems.
Signal qualityWhether 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 actionWhich merchant-side changes are most defensible to prioritize next.That the framework removes the need for testing, iteration, or operator judgment.

Section 05

Limitations and honesty block

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

How brands improve scores

01

Clarify product truth

Strengthen structure, differentiation, and attribute quality.

02

Tighten trust

Make policies, proof, and merchant consistency harder to miss.

03

Reduce purchase friction

Smooth the path from evaluation to checkout.

04

Instrument outcomes

Measure the parts of AI-assisted behavior your team can act on.

Section 07

Methodology cluster

Section 08

See the benchmark

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.

FAQ

Does Gobuy rely on one platform's ranking factors?

No. The framework is platform-agnostic on the AI side and merchant-specific on the readiness side.

What makes the methodology credible?

It is explicit about what is measured, what is inferred, and what is outside Gobuy's control.