Research
What I’m finding in search.
Experiments, analysis and observations from the things I’m testing and researching across SEO and AI discovery.
[PLACEHOLDER STUDY] How much of a results page is still organic listings
A proposed study measuring how much vertical space the ten blue links actually occupy across query types, using a sampled set of public SERPs rather than any private data.
Method — Sample public SERPs across query types, measure pixel height of each result unit, report the organic share.
SERP features, public data, proposed
[PLACEHOLDER STUDY] What AI Overviews cite, by page type
A proposed study classifying the sources cited in AI Overviews by page type — documentation, forum, editorial, commercial — across a sampled set of public queries.
Method — Collect AI Overview citations for a fixed public query set, classify each cited page by type, report the distribution.
AI answers, citations, public data, proposed
[PLACEHOLDER STUDY] Where titles actually truncate, measured in pixels
A proposed study measuring the rendered pixel width at which titles are truncated on public results pages, tested against the character counts commonly recommended.
Method — Render a controlled set of titles at known pixel widths, capture public SERPs, record the truncation point.
Titles, public data, proposed
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