Attributes & accuracy

Is AI describing the right product?

Compare attributes identified in saved answers with the catalog evidence you confirmed. Separate wrong, missing and unknown information.

Confirmed catalog evidence required

Attribute accuracy

RAM16 GB
SSD512 GB
BatteryTo verify
VariantPro 14
Illustrative data · Aurora, TechPrime, Northwind

The problem

Start with the question your team needs to answer — not a dashboard full of ungrounded claims.

01

Specs differ across variants

02

A missing value looks like an error

03

A brand citation disguises a missed product

How it works

Cito
  1. 01

    Confirm your reference listing

    Aurora Pro 14

    Notebooks · 3 stores

    Analysed

    Recommended in

    9 / 15

    Avg. position

    2.3

    Store suggested

    Mercado Livre

    in 6 of 9 answers

    Spec accuracy

    4 / 5

    battery stated wrong

    Illustrative data · Aurora, TechPrime, Northwind
  2. 02

    Read extracted attributes and name variations

    Attribute accuracy

    RAM16 GB
    SSD512 GB
    BatteryTo verify
    VariantPro 14
    Illustrative data · Aurora, TechPrime, Northwind
  3. 03

    Review mismatches against evidence

    SummaryAnswersSources

    Prompt 2 · repetition 3 · model API · saved answer

    “For students who want long battery life, the TechPrime X5 is a strong choice. The Aurora Pro 14 is lighter but…”
    • • techprime.example/x5
    • • No source provided by this model API
    Illustrative data · Aurora, TechPrime, Northwind

01 · Attributes & accuracy

Check model and variant first

Never compare a 16 GB model against another variant as if they were identical.

Attribute accuracy

RAM16 GB
SSD512 GB
BatteryTo verify
VariantPro 14
Illustrative data · Aurora, TechPrime, Northwind

02 · Attributes & accuracy

Unknown does not mean wrong

Missing content has a reason and extraction stage; unsupported values do not become facts.

68

Sales readiness

  • P1Publish a structured spec tableSeller
  • P1Add battery hours to the titleSeller
  • P2Add product structured dataSite
Illustrative data · Aurora, TechPrime, Northwind

03 · Attributes & accuracy

Site cited, product not recognized

The product hub distinguishes site evidence from an actual match to the product identity.

SummaryAnswersSources

Prompt 2 · repetition 3 · model API · saved answer

“For students who want long battery life, the TechPrime X5 is a strong choice. The Aurora Pro 14 is lighter but…”
  • • techprime.example/x5
  • • No source provided by this model API
Illustrative data · Aurora, TechPrime, Northwind

What you measure

Measurements come from saved catalog, audit, answer or manually imported rows. No visibility-to-revenue inference.

  • Confirmed, conflicting and unknown attributes
  • Recognized product names and site-only citations

Transparent methodology

An observation, not a promise

Configured model APIs. Saved original answers. Incomplete responses excluded. Unknown is never treated as failure.

Prompt

Buyer-style, in Portuguese

Provider

Model + version recorded

Repetition

Same prompt, repeated

1 observation

Saved verbatim, never rewritten

Read the methodology

Continue the workflow

FAQ

Straight answers

Can AI invent catalog values?

Assisted extraction is opt-in and only retains values and literal quotes present in captured content.

What is the reference?

Your confirmed catalog and captured listing, not a guessed specification.

Is unknown a failure?

No. Unknown evidence stays distinct from failed rules.

Does this reproduce the consumer chat app?

No. Diagnostics use configured model APIs and recorded prompts in Brazilian Portuguese. Results can differ from consumer apps.

All help topics
Cito

Your next decision starts with evidence

Confirm your product, review the diagnostic and keep every answer.

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