Gengine platform

Product recommendations, with the full story

Observe who AI recommends, compare competitors and stores, then improve your listing with saved evidence. Built for electronics in Brazil.

gengine

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

Observe. Understand. Improve.

A product-level workflow, from the original answer to a reviewed action. Every complementary solution tells you what still needs setup or data.

Requires a configured provider

Product visibility

Measure recommendations for a specific electronics model, not just a brand name. Keep the valid-answer denominator beside every count.

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
Explore

Saved answers required

Competitors & stores

Read competing products and store suggestions in the same evidence trail. Keep a product, a brand and a seller distinct.

Recommended instead

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

Where AI says to buy

  • Mercado Livre34%
  • Amazon27%
  • Official store18%
  • Magalu13%
  • Kabum8%
Illustrative data · Aurora, TechPrime, Northwind
Explore

Read-only saved evidence

Auditable evidence

Open the original saved answer, prompt, model and repetition behind a recommendation. Sources appear only when supplied.

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
Explore

Confirmed catalog evidence required

Attributes & accuracy

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

Attribute accuracy

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

Score hidden below 70% coverage

Listing audit

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

68

Sales readiness

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

Review before changing content

Action plan

Prioritize listing corrections, assign owners and track status. Keep the source finding close to each action.

Aurora Pro 14

Prioritized action plan

P1

Clarify the exact model and variant

Pending · saved listing evidence

P1

Add a structured specification table

Pending · saved listing evidence

P2

Review product structured data

Pending · saved listing evidence

Illustrative data · Aurora, TechPrime, Northwind
Explore

CSV available · APIs require setup

Automations & marketplaces

Import CSV, inspect partial results and re-audit stored content. Partner API connections remain setup-required until verified.

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
Explore

Manual data · no inferred conversion

Sales performance

Import manual sales aggregates and compare them with saved visibility. Keep association separate from causality.

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
Explore

Requires sufficient data and backtest

Predictive intelligence

The workspace engine checks data sufficiency and a chronological backtest before exposing forecasts. An empty history stays empty.

Aurora Pro 14

Evidence before a forecast

Forecast unavailable

Sufficient chronological data and a passing backtest are required. No forecast has been generated.

Illustrative data · Aurora, TechPrime, Northwind
Explore

Drafts only · no campaigns

Media opportunities

Draft briefs and user-entered scenarios from catalog context. Import manual performance aggregates without launching ads.

Aurora Pro 14

Media brief · draft

DraftNo campaigns

Remote work · product briefing

Audience, product evidence and creative assumptions for human review.

Illustrative data · Aurora, TechPrime, Northwind
Explore

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

Which products are supported?

The platform focuses on electronics and Brazilian buyer prompts.

Which engines are implemented?

OpenAI and Gemini model API adapters. Provider setup is required; this is not the consumer chat interface.

Are all integrations active?

No. CSV is available; partner connections require configuration and verification.

Are example screens live data?

No. They are labeled illustrative examples for the fictional Aurora brand.

All help topics
Cito

Your next decision starts with evidence

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

Run a free diagnostic