Qwairy
Metrics & Analytics

Impact Scoring

Assessment of the potential benefit of an optimization recommendation, used to compare recommendations.

What is Impact Scoring?

In Qwairy's public audit, recommendation impact is assessed on a scale from 0 to 100 using the audit findings. It helps compare the potential benefit of recommendations. It is not a percentage improvement or a forecast of traffic, conversions, or revenue. Consider the supporting findings and estimated effort when choosing an action.

How Qwairy Makes This Actionable

Qwairy's public audit provides impact scores from 0 to 100 for its optimization recommendations. Read them alongside priority, estimated effort, and the supporting audit findings.

Frequently Asked Questions

Impact compares the potential benefit of recommendations. Priority indicates which actions to address first. In the public audit, consider both alongside estimated effort and supporting findings; neither is a forecast of business results.

In Qwairy's public audit, impact scores range from 0 to 100. Higher scores indicate recommendations assessed as more beneficial in light of the observed findings, such as a provider or topic gap or a failed technical check. A score of 80 does not predict an 80% improvement.

Impact scores can help explain which recommendations deserve attention, but they do not prove ROI or predict traffic and revenue. Evaluate business results separately using observed changes, implementation costs, and your own conversion and revenue data.
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Related Terms

Priority Scoring

Optimization

Numerical ranking system that orders recommendations and opportunities by potential impact and effort required.

Actionable Insight

Optimization

Concrete, prioritized recommendation derived from AI visibility monitoring data, indicating what to create or optimize next.

Query Patterns

Metrics & Analytics

Recurring structures, themes, and characteristics in how users formulate questions to AI systems.

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Grounding

The process of anchoring AI responses in verified, real-world data sources to ensure factual accuracy.

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Intent Analysis

Classification of queries by the user's underlying goal, such as informational, commercial, or transactional, to prioritize GEO efforts.

← Back to GlossaryLast updated Jun 9, 2026