Being on the page AI reads: 5.28M pairs and the 34.0% that got named
34.0% of 5.28M measured page-brand-answer pairs were named. Compare engines, page shapes, prominence, and frequency.
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What the data says about AI visibility and community marketing. Explore the findings, check the methods, and take the data with you.
The directories AI cites: 201K citations ranked by brand attributions
201K directory-classified citations and a host ranking by brand attributions. Inspect the vertical split, engine shares, and method.
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Best-of lists in AI answers: 568K cited pages and what happened to their brands
568K listicle-shaped cited pages, a naming comparison, and a sampled before-and-after cohort. First observed citation is not publication.
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Can one page explain an AI shortlist? Brand coverage across 252K answers
One cited page covered the entire named set in 11.1% of measured multi-brand answers. Brand overlap does not establish which source caused the answer.
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Press releases in AI search: 4.85K wire citations across 7.43M
4.85K wire-host citations across 7.43M measured citations. Compare wires, engines, and announcement title groups.
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79.4% of measured Reddit brand mentions were comments-only: 82.9K pairs analyzed
79.4% of 82.9K measured Reddit page-brand pairs were comments-only. Explore location, engagement, and engine figures.
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Thread score vs AI citation: 11.7K cited Reddit pages and the order ledger
The median score was 12 across 11.7K cited Reddit pages. Explore score bands, order overlap, paired score changes, and limits.
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What cited page length tells you about AI visibility
ChatGPT Search and Google AI Mode cite different lengths of pages. Explore the evidence before setting a word-count target.
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