How scoring works

What the 0-100 AI readiness score measures, and why a field loses points.

Every product gets a single score from 0 to 100. That score is the weighted result of seven field-level scores. It answers one question: if an AI shopping agent read this listing, would it understand what this product is?

What AI readiness means

Agentic search does not browse. It reads structured text and decides whether a product matches a shopper's intent. A listing a human can figure out from the photos may be invisible to a machine that only has your title, description and tags.

A product scores well when a reader with no context could answer, from text alone: what is it, what is it made of, who is it for, and how does it differ from its variants.

Why a field loses points

Aidvio scores each field against concrete failures, not vibes:

• Missing — the field is empty. This is the largest single deduction.
• Too short — there is not enough text to establish what the product is.
• Uninformative — text is present but says nothing a machine can use. "Great product, buy now" scores near zero.
• Unstructured — key attributes (material, size, colour, use case) are absent from the text.
• Duplicated — the same text appears across many products, so it cannot distinguish this one.

Reading the breakdown

Open any product to see its per-field scores and the specific reason each field lost points. Fix the reason, not the number — the number follows.

Score bands

• 0-40 — likely invisible to agentic search.
• 41-70 — findable, but loses to better-described competitors.
• 71-100 — a machine can confidently place this product.