30%
30% -- time spent on page increase for users viewing AI-structured content (2025)
Questions about this data
What is the time spent on page increase for users viewing AI-structured content?
The time spent on page increase for users viewing AI-structured content is 30% as of 2025 according to MarketMuse. This figure is the primary benchmark in the Lighthouse dataset for this segment. Individual results vary by region, channel mix, and audience quality.
What is a good time spent on page increase benchmark for users viewing AI-structured content?
A strong time spent on page increase benchmark for users viewing AI-structured content is 30%, using the current serving value as of 2025. This is one serving-eligible observation, not a distribution median; top-quartile comparisons require the underlying distribution. Vertical, audience size, and campaign type all shift what 'good' means.
How does users viewing AI-structured content time spent on page increase compare to the industry average?
The published time spent on page increase serving value for users viewing AI-structured content is 30% as of 2025. Individual sectors and audiences may differ substantially; this single observation does not establish an aggregate mean. Quartile comparisons require the underlying distribution, which is not implied by this record.
What factors affect time spent on page increase for users viewing AI-structured content?
Primary drivers of time spent on page increase variation for users viewing AI-structured content include audience segmentation, timing, and channel selection. Methodology documents campaign factors, but this serving record does not quantify the effect of personalization. The current serving value is 30% as of 2025.
What time spent on page increase should I aim for as a content marketer in 2025?
For a content marketer, the published time spent on page increase serving value is 30%; it is an evidence-grade reference, not a personalized target as of 2025. Any performance goal should account for channel mix and audience. Review the methodology before operational decisions; a gap from this serving value does not by itself indicate a structural issue.
Approved for serving with evidence grade B. The record passes the documented quality and serving gates; consult the methodology for provenance details.
Single source - not yet corroborated
Attributed to MarketMuse case study; cited secondhand
<blockquote cite="https://lighthousedata.io/data/marketmuse-ai-content-structure-time-on-page-30pct" style="border-left:3px solid #2563eb;padding:12px 16px;margin:16px 0;font-family:system-ui,sans-serif;background:#f0f4ff;"><strong>30%</strong> -- time spent on page increase for users viewing AI-structured content<br><small>Source: MarketMuse (2025) · <a href="https://lighthousedata.io/data/marketmuse-ai-content-structure-time-on-page-30pct" target="_blank" rel="noopener">Lighthouse Intelligence</a></small></blockquote>
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