Pages with 2 H1 tags get the most impressions — spread is ~68%. Multiple H1s do not hurt; pages with 0 H1s perform the worst.
Bottom line: Multiple H1s do not hurt impressions; missing H1s correlate with the worst performance.
The x-axis shows the number of H1 tags found on a page. Each bar shows relative impressions for pages in that H1-count bucket. The tallest bar is the 2 H1 group, and the lowest is the 0 H1 group. Focus on the gap between 0 H1 and the rest, not small differences between 1 and 2.
Many SEOs still treat “one H1 per page” as a ranking rule. It drives audits, templates, and dev tickets. Across 35K+ unique pages, pages with 2 H1 tags got the most impressions. The spread across H1 counts is ~68%, and pages with 0 H1 tags performed the worst.
Segment pages into 0, 1, 2, and 3+ H1 buckets.
Add a single, descriptive H1 that matches the page’s main intent.
Demote shared elements to div/span or H2/H3 where needed.
Block publishing if H1 is missing on indexable templates.
An H1 gives Google a clean main topic cue. If you ship pages with 0 H1s, you risk weaker topical focus.
Match the query intent, not the exact words. If they conflict, you dilute relevance signals.
Extra H1s often come from headers, logos, or CMS blocks. If they are accidental, they usually point to messy templates.
Reserve H1 for page-level topics. If every module uses H1, your structure becomes noisy for crawlers and users.
You waste dev time on a non-issue while real content gaps stay unfixed.
You miss a common template flaw tied to the worst impression performance in the dataset.
You blur the page topic and inflate shared headings across the site.
Most “multiple H1” cases are not content choices. They are template bugs, like a site name rendered as H1 plus the article title as H1. Fix the shared H1 first, then measure if query mix and impressions shift on key templates.
All data comes from real websites tracked by SEOJuice. We use the latest snapshot per page so each page counts once, regardless of site size. We filter for pages with at least 10 Google Search Console impressions and valid ranking positions (1-100).
Data is refreshed weekly. Correlation does not imply causation — these insights show associations, not guaranteed outcomes.
We compared readability scores against relative impressions across 17K+ unique pages.
We analyzed word counts across 35K+ unique pages and compared relative impressions.
We measured how description-to-content consistency correlates with click-through rates.
SEOJuice tracks all these metrics automatically and helps you improve them.
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