AI Search Statistics and Data
The AI search data we cite, drawn from named third-party research (Ahrefs, Semrush, BrightEdge, Conductor, Cloudflare, Profound, and the Princeton GEO study), alongside practical guidance on AI visibility. Each data page names its source and links to it.
Prefer a single overview? Read the 2026 statistics pillar. For UK pricing benchmarks specifically, see the UK market benchmarks 2026.
Writing about AI search? Our figures are free to embed and cite: copy a stat card or a linked citation.
AI visibility guides
- Does Your Homepage Tell AI What You Do?
- Are You Accidentally Blocking AI Crawlers?
- Why Organisation Schema Matters for AI Search
- Homepage Signals That Confuse AI (and How to Fix Them)
- Answer-First Q&A Content and AI Citations
- Why Person Schema Matters for AI Search
- Schema Markup for AI Search: A Practical Priority Guide
Industry data (third-party sources)
- AI Search Market Share 2026
- YouTube Has a 0.737 Correlation With AI Mentions (Ahrefs)
- Brand Mentions Correlate ~3x More Than Backlinks (Ahrefs)
- AI Search Traffic Converts at Around 4.4x Organic (Semrush)
- Why Content Freshness Matters for AI Citations
- Citation Overlap Between AI Platforms Is Low (Profound)
- Speakable Schema: A Low-Adoption, Low-Risk Markup
- How Rankings and AI Citations Overlap (BrightEdge)
- What the March 2026 Core Update Means for Comparison Sites
- AI Overviews Appear on Around 48% of Queries (BrightEdge)
- ChatGPT Accounts for 87.4% of AI Referral Traffic (Conductor)
- Perplexity Has the Best Crawl-to-Referral Ratio (Cloudflare)
Where this data comes from
The industry figures we cite are drawn from named, public third-party research and linked on each page: Ahrefs (brand visibility correlations), Semrush (referral conversion, AI Overview coverage), BrightEdge (ranking and citation overlap), Conductor (AI referral share), Cloudflare (crawl-to-referral ratios), Profound (cross-platform citation overlap), SparkToro and Datos (zero-click), and the Princeton/Georgia Tech GEO paper. Our guidance pages reflect what these sources and platform documentation support, and avoid precise figures we cannot attribute.
How to use these pages
- Follow the source link on any figure before citing it. We link the original study so you can verify the number and its context.
- Compare against your own site. The guidance pages (schema, H1 clarity, crawler access) are checklists you can run against your own pages.
- Treat platform shares as estimates. Market-share and coverage figures vary widely by source and method; we present ranges and name the source rather than a single fixed number.
Frequently asked questions
Are these numbers from a proprietary SEOCompare study?
No. The figures we cite come from named third-party research, linked on each page. Earlier versions of these pages presented unsourced internal "audit" percentages; those have been removed or rewritten as sourced data or practical guidance.
Why do some pages give guidance instead of a statistic?
Where we could not attribute a precise number to a credible public source, we removed the number and kept honest qualitative guidance instead. We would rather publish an accurate guide than a precise-looking but unsourced statistic.
How often is this page updated?
We review these pages when major new research is published or platform behaviour changes.
Why no page for [topic X]?
Either there is not yet credible public data we can cite, or it lives in the AI Search Statistics 2026 pillar. Suggest a topic via the contact form.