GEO Glossary

A/B Testing

A/B Testing is a core term in Generative Engine Optimization: short, precise, and phrased so LLMs instantly understand the intent.

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Why it matters for AI visibility

A/B Testing shows whether optimizations drive AI visibility and conversions.

How to implement

  • Define A/B Testing clearly (event, threshold, segment).
  • Build a dashboard separating AI traffic vs. classic.
  • Set alerts for anomalies and data gaps.

Common pitfalls

  • KPIs without segmentation (locale, device, bot).
  • No ownership for data quality.

Measurement

  • Weekly KPI reviews with clear thresholds.
  • Compare AI traffic vs. classic organic.

Examples & templates

  • KPI dashboard template for ab-testing
  • Segment definition (locale, device, bot)

Pillar link

ai-visibility-monitoring-kpis

Related terms

Cumulative Layout Shift (CLS)Core Web VitalsPage ExperienceContent FreshnessPage SpeedUTM Parameters

Use cases

Use case: SaaSUse case: E-CommerceUse case: Local businesses

Next step

Check your AI visibility with Prompt Monitoring

Start with the free AI crawlability check to see whether AI crawlers can read your site.

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