Amazon's AI matches intent. Does your listing state any?
On top of classic keyword ranking, Amazon's AI search layers map queries to intent: who it's for, what job it does, when it's used. A listing that only lists specs makes the AI guess. This audit grades your intent coverage across six dimensions and writes the copy that closes each gap.
Included in every OptimalCentral plan — part of a 30-tool suite, one subscription, from $99/mo.
Six dimensions. Three buckets each.
Per dimension: what you state, what the AI must guess, and what products like yours say that yours doesn't.
Intent coverage, scored
Use case, audience, occasion, compatibility, attributes, problem solved. Each is scored 0–10 on how explicitly your listing covers it, with one fix per dimension.
Explicit vs guessed vs missing
The risky middle bucket is what the AI must infer: it works until it doesn't. The audit shows which signals to move from implied to stated.
Intent-phrased query tests
Intent-style searches (“quiet enough for an apartment”, “gift for a runner who travels”), each judged strong match, weak or miss for your listing, with the reason.
Field-by-field rewrites
Prioritized copy changes for title, bullets, description, A+, backend keywords and Q&A, written to Amazon's rules, including the 75-character title limit.
The scoreboard: how often would AI answers pick you?
Built from your AEO Tracker scans at no extra cost or quota. It shows how often each tracked product appears in simulated AI shopping answers vs classic top-10 results, and which competitors own the queries you're missing from. The intent audit is the fix; this view estimates where you stand.
Track your products
Add ASINs to the AEO Tracker. Weekly scans estimate AI-answer presence with a simulated Alexa for Shopping answer and check classic search position per query.
Read your share
AI answer share vs top-10 share, per product and account-wide, plus the competitors dominating the queries you're absent from.
Close the gaps
Run the intent audit on the laggards, ship the rewrites, and follow the share in the weekly scans.
Frequently asked questions.
What is COSMO and why does intent matter?
COSMO is an AI system, described in Amazon's published research, that maps shopping queries to intent: the job to be done, who it's for, the occasion, compatibility constraints. It layers on top of Amazon's classic keyword ranking, not in place of it. With Amazon's AI shopping assistant, these layers are built to understand intent. State intent signals explicitly and the AI infers less. A specs-only listing forces it to guess, and guessed coverage is fragile for intent-phrased searches.
What does the intent audit check?
Six dimensions: use case, audience, occasion, compatibility, attributes, and problem solved. For each, it separates what your listing states explicitly, what a shopper or AI could only infer, and what products like yours typically state that yours lacks. Each is scored, with a copy fix per dimension.
What are the example queries and rewrites?
Realistic intent-phrased searches, like “gift for a runner who travels”, each judged a strong match, weak match, or miss, with the reason. Then prioritized copy changes per field (title, bullets, description, A+, backend keywords, Q&A) that close the gaps, within Amazon's rules, including the 75-character title limit.
What is the AI Answer Share view?
A free view built from your AEO Tracker scans: how often each tracked product shows up in simulated AI shopping answers versus classic top-10 results, and which competitors dominate the queries you're absent from. It uses data you already have: no extra cost, no quota.
How many intent audits do I get?
10 (Pro), 30 (Brand), or 100 (Enterprise) intent audits per billing period; the free trial includes 1. The AI Answer Share view is on every plan, with no quota.