Benchmarks

How sites score for AI visibility

Aggregate data from public GEO audits — median scores, the most common blocking issues, and what percentage of sites are missing critical AI visibility signals. All data is anonymous; no individual brand or domain is ever identified.

Privacy stance: This page shows only aggregate statistics computed from audits where the site owner chose to make their result public (the default for free audits). No brand names, company names, or domain URLs are stored or displayed. Individual audit results are never accessible from here. How we measure these scores.

Building the dataset

0 of 20 public audits collected

Aggregate benchmarks unlock at 20public audits — the minimum that guarantees no individual site’s data can be inferred from the statistics.

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Industry context

Industry context (external research)

External research — not our dataset

While our own benchmark dataset grows, here is what published third-party research says about how AI engines pick their sources. These numbers are not derived from our audits.

~50% of AI citations point to content published in the last 13 weeks

AI answers strongly favor recent content. Half of what gets cited was published within roughly the last three months.

Source: aggregated third-party GEO/AI-search research, 2025–2026

Fresh content earns roughly 3.2× more AI citations

Pages published within the last 30 days are cited about three times as often as older content answering the same questions.

Source: aggregated third-party GEO/AI-search research, 2025–2026

Reddit is among the most-cited domains in AI answers

Across ChatGPT, Perplexity, and Google AI Overviews, community discussion threads rank among the sources AI cites most often.

Source: aggregated third-party GEO/AI-search research, 2025–2026

The same question shares only 34–42% of its cited sources day to day

Ask an AI engine the identical question on different days and roughly two-thirds of the sources it cites will change.

Source: aggregated third-party GEO/AI-search research, 2025–2026

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