Listing audit

Your listing needs to be readable before it can be recommended

Audit captured product content with versioned GEO and sales-readiness rules. Find the missing evidence without guessing a score.

Score hidden below 70% coverage
68

Sales readiness

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

The problem

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

01

Attributes are buried in paragraphs

02

Captured content may be incomplete

03

A readiness score gets confused with visibility

How it works

Cito
  1. 01

    Capture or upload listing content

    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

    Review extraction and missing fields

    68

    Sales readiness

    • P1Publish a structured spec tableSeller
    • P1Add battery hours to the titleSeller
    • P2Add product structured dataSite
    Illustrative data · Aurora, TechPrime, Northwind
  3. 03

    Read rules, coverage and priority

    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 · Listing audit

Content with an origin

Capture via configured Firecrawl or supply HTML, text or CSV. Source and capture time stay recorded.

68

Sales readiness

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

02 · Listing audit

A score with evidence coverage

Unknown is not failure. Scores are suppressed below 70% coverage.

Attribute accuracy

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

03 · Listing audit

Re-audit without a new fetch

Re-audit applies current rules to saved snapshots; it does not fetch the page again.

Aurora Pro 14

Import & connection review

CSVAvailable
Mercado LivreSetup required · no active sync
Amazon SP-APISetup required · no active sync
ShopifySetup required · no active sync
n8nSetup required · no active sync
Illustrative data · Aurora, TechPrime, Northwind

What you measure

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

  • GEO and sales-readiness scores when coverage allows
  • Passed, failed and unknown rules; capture date

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

Does readiness prove AI recommends me?

No. Listing readiness and observed recommendations are different measurements.

Does re-audit capture the current website?

No. It uses stored content and displays its capture date.

Can every URL be read?

No. Capture depends on service setup and website access; HTML, text and CSV remain alternatives.

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.

Run a free diagnostic