GWGEO WorkbenchGenerative Engine Optimization

DIY BUILD GUIDE

Build a minimum visibility monitor

Store a versioned prompt set, collect responses, normalize JSON, extract mentions and citations, and compare dated runs.

Prerequisites

  • A small versioned prompt set and target market.
  • A permitted provider or browser collection method.
  • A local CSV or JSON report location.

Minimum architecture

Versioned prompts -> collection -> normalized JSON -> extraction -> dated report.

Implementation steps

  1. Store each prompt with locale and run date.
  2. Collect responses within provider terms and normalize the output.
  3. Extract brand mentions and cited URLs into a dated report.

Output

A dated CSV or static HTML report that shows prompts, responses, mentions, citations, and the collection conditions.

Runtime and cost

Software: Your own code and hosting

Runtime: Provider, browser collection, and storage costs.

Data location: Your chosen storage and report output.

Validate before relying on it

  1. Repeat the same prompt set.
  2. Inspect citation extraction.
  3. Compare dated output.

Boundary

Provider terms, rate limits, and answer drift require consistent sampling.

Reference documentation ↗

Follow this build AI visibility monitor guide to keep costs, validation, and limits visible.