Use cases

The right evidence for your next decision

Find a product-level workflow for your role and the moment your electronics business is facing. No invented outcomes.

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gengineAurora · Aurora Pro 14 Search · Ctrl K

Product

Aurora Pro 14 · 16 GB / 512 GB

Recommended

9 / 15

valid answers

Mentioned

12 / 15

Avg. position

2.3

Store suggested

Mercado Livre

Recommendation share by weekAurora vs TechPrime

Illustrative data · Aurora, TechPrime, Northwind

By role

Different teams, the same preserved evidence.

Marketing / Brand

Challenge: A brand appears, but its priority product is missing.
How Gengine helps: Identify product-level recommendations and review original answers.
Screens used: Product visibility · Evidence
Metrics: Recommendations / valid answers; mentions and position

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

E-commerce / Marketplace

Challenge: AI suggests a competing model or another store.
How Gengine helps: Compare competing products and suggested sellers.
Screens used: Competitors & stores · Listing audit
Metrics: Competitor recommendation counts; store mention share

Recommended instead

1TechPrime X511/15
2Aurora Pro 149/15
3Northwind Air6/15
4TechPrime Lite3/15

Where AI says to buy

Mercado Livre34%
Amazon27%
Official store18%
Magalu13%
Kabum8%

Illustrative data · Aurora, TechPrime, Northwind

Catalog & content

Challenge: Product specs are incomplete or mixed across variants.
How Gengine helps: Confirm identity and audit captured listing evidence.
Screens used: Attributes · Listing audit · Action plan
Metrics: Rule coverage; passed, failed and unknown attributes

Sales readiness

P1Publish a structured spec tableSeller
P1Add battery hours to the titleSeller
P2Add product structured dataSite

Illustrative data · Aurora, TechPrime, Northwind

Media / Performance

Challenge: Visibility is mistaken for conversion.
How Gengine helps: Read manual sales aggregates beside visibility; save draft briefs.
Screens used: Sales performance · Media drafts
Metrics: User-imported aggregates; explicit scenario inputs

Aurora Pro 14

Your imported sales, beside visibility

Observed recommendation

9 / 15

Sales source

CSV · Aurora

Read side by side. Visibility does not establish conversion or causality.

Illustrative data · Aurora, TechPrime, Northwind

Agencies

Challenge: A client needs a defensible diagnosis, not a speculative promise.
How Gengine helps: Scope a product assessment, export CSV and present saved evidence.
Screens used: Analyses · Evidence · Action plan
Metrics: Valid observations; priority and status of actions

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

By moment

Product launch

Challenge: A new model has little observed evidence.
How Gengine helps: Confirm identity, audit the listing and establish a measured baseline.
Screens: Product · Audit · Analysis
Metrics: Coverage and valid observations, never a launch-sales forecast

Black Friday

Challenge: Price and variant information differ across channels.
How Gengine helps: Review captured listing dates, attributes and prioritized corrections.
Screens: Attributes · Stores · Action plan
Metrics: Observed mismatches and saved rule coverage

New marketplace

Challenge: A new seller listing must not overwrite a product or another seller.
How Gengine helps: Import and review product identity separately from channel/seller. APIs require setup.
Screens: Imports · Integrations · Audit
Metrics: Imported / failed rows; listing coverage

Recommendation drop

Challenge: A changed number has no clear explanation.
How Gengine helps: Compare compatible saved observations, competitors and original answers.
Screens: Visibility · Competitors · Evidence
Metrics: Recommendations with denominators and comparable periods

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

FAQ

Straight answers

Is a diagnostic a sales forecast?

No. It measures saved model answers. Visibility never implies conversion.

Can I inspect every finding?

Saved answer and listing evidence remain available in the corresponding views.

Are custom plans already active?

No. Enterprise and Agency commercial scopes are proposals, not self-service entitlements.

Which market is the platform built for?

Electronics in Brazil, with diagnostic prompts in Brazilian Portuguese.

All help topics

Your next decision starts with evidence

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

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