Semrush outlines dashboard for AI citations and Google clicks

Semrush has published a guide to building an AI visibility dashboard focused on a question for marketers: Are the pages cited by AI also the pages receiving clicks from Google? The proposed comparison puts two forms of page visibility alongside each other rather than treating them as interchangeable.

The distinction matters when reviewing page performance. An AI citation indicates that a page has been cited, while a Google click indicates that someone has clicked through to a page. Comparing the two can help marketers see whether the same pages appear in both views. A page could appear in one view without appearing in the other, so the comparison is more informative than either view alone.

The guide’s available summary does not specify the data sources, reporting periods or dashboard features involved. It also does not establish that an AI citation causes a Google click, or that a Google click leads to an AI citation. The dashboard’s stated purpose is to show whether the pages in the two groups match, not to demonstrate a causal relationship between the measures.

For a useful comparison, marketers should consider whether they are looking at the same pages and the same period in each view. A page-level comparison answers a different question from a site-wide total: overall figures may show activity in both areas without showing whether that activity concerns the same URLs. Where the pages differ, the distinction can guide a closer review of the content involved.

The comparison also needs to be interpreted on its own terms. A page that appears in both groups has a different reporting profile from one that appears in only one. Neither result, by itself, explains why the page was cited or clicked. Marketers should avoid treating the presence or absence of a match as a complete assessment of a page’s value or as proof that a particular content decision caused the result.

What this means for marketers

Use the comparison to identify which pages overlap and which do not, then review those pages in context. Keep AI citations and Google clicks labeled as separate measures, check that the reporting periods align, and avoid drawing conclusions about causation from the dashboard alone.