Why it matters
It can reveal whether performance movement is concentrated in a specific result treatment rather than the whole property.
How to use it
Query the dimension only where supported, compare equal periods, and keep unknown or unavailable values hidden instead of inventing labels.
Limits and interpretation
Available values can change and not every Search feature is exposed identically through the API. It is not a generic “AI visibility” score.
Common mistakes
Hard-coding unsupported appearance types; treating absence as zero; mixing deprecated values into evergreen dashboards.
Questions people also ask
Where GSC Pulse fits
GSC Pulse uses this concept inside a decision workflow and links to the underlying evidence instead of presenting the term as a decorative metric.
Primary documentationSource
Use the concept in a real portfolio review
Install GSC Pulse or continue with the related methodology and guides.
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