AI Search Statistics
AI search statistics.
The headline statistics from SearchScore's audit data, drawn from a live corpus of over 1,000,000 website audits and including the published State of AI Visibility Index (SAVI), in one citable page. Every number below is a self-contained, sourced statistic you can quote, with a stable anchor link and its sample size and date stated. Updated August 2026 with the Q3 2026 SAVI. Next update: with the Q4 2026 edition.
✓ 1,000,000+ sites audited ✓ 250+ signals per site ✓ Free to cite with attribution
63.8% of scored audits fall below 50 for AI visibility #
63.8%
63.8% of the scored audits in SearchScore's live corpus (July 2026) fall below 50 out of 100 for AI search visibility (GEO score): nearly 2 in 3 websites.
Source: the SearchScore live audit corpus, July 2026. Context: What is GEO? · How it is measured: Methodology
Only 216 of over a million analysed sites are AI-Ready (GEO 80+) #
0.022%
Only 216 of the 1,000,000+ sites we've analysed are AI-Ready, a GEO score of 80 or above: about 1 in 4,600 (July 2026).
Source: the SearchScore live audit corpus, July 2026. Context: What is GEO? · How it is measured: Methodology
The average website scores 43.2 out of 100 for AI visibility #
43.2/100
The average GEO score across the scored audits in SearchScore's live corpus (July 2026) is 43.2 out of 100, well below the 50 mark that separates weak from workable AI visibility.
Source: the SearchScore live audit corpus, July 2026. How it is measured: Methodology
30.3% of interactively audited websites publish an llms.txt file #
30.3%
Across 6,944 websites audited interactively by SearchScore (July 2026), 30.3% publish an llms.txt file, the proposed standard for describing a site's key content directly to AI crawlers. In a sample of the 20,000 most recent audits from the wider live corpus (16,706 with signal data), adoption is 22.8%.
Source: SearchScore interactive audits (N = 6,944) and a recent live-corpus sample (N = 16,706), July 2026. Context: llms.txt examples · How it is measured: Methodology
Roughly 1 in 14 websites block at least one major AI crawler #
6.9%
Across 6,944 websites audited interactively by SearchScore (July 2026), 6.9% (roughly 1 in 14) block at least one major AI crawler, such as GPTBot, ClaudeBot or PerplexityBot, in their robots.txt file.
Source: SearchScore interactive audits, N = 6,944, July 2026. Context: What is GEO? · How it is measured: Methodology
52.2% of interactively audited websites have no Organization schema #
52.2%
Across 6,944 websites audited interactively by SearchScore (July 2026), 52.2% publish no Organization structured data (JSON-LD), the schema markup AI engines use to identify who is behind a website when deciding what to cite.
Source: SearchScore interactive audits, N = 6,944, July 2026. Context: Structured data for AI engines · How it is measured: Methodology
216 of 1,000,000+ analysed sites are AI-Ready, and none are Verified #
216/1,000,000+
In the Q3 2026 State of AI Visibility Index, 216 of more than 1,000,000 analysed websites score AI-Ready (GEO 80 or above). That is 0.022%, about 1 in 4,600. No site has reached the Verified tier (GEO 90 or above); the highest score recorded anywhere is 86.6.
Source: published index values, Q3 2026 SAVI Report · Index home: the SAVI Index
The fixed index panel reads a weighted mean GEO of 45.24 at wave 1 #
45.24/100
From Q3 2026 the index is built on a fixed panel of 102,873 domains, re-audited each wave on the same method and scorer version, so that movement between editions reflects the web rather than changes in the sample. Wave 1 is dated 1 August 2026. Earlier editions were scored on a different engine and on a corpus that more than doubled between them, so Q3 publishes no like-for-like average comparison with Q1 or Q2.
Source: SAVI index panel, wave 1, Q3 2026 SAVI Report
SearchScore has audited more than 1,000,000 websites #
1M+
SearchScore's live audit corpus covers more than 1,000,000 website audits for AI search visibility, each scored against 250+ signals across 8 weighted GEO categories, and grows daily. The published Q2 2026 SAVI Report was built on the 850,000-audit panel it reached at that time.
Source: live-corpus count from the SearchScore audit database, July 2026 (1,000,000+ distinct domains scored in the trailing window); the 850,000 figure is the published corpus of the Q2 2026 SAVI Report. How it is measured: Methodology
Greater London accountancy firms average 52.8/100 for AI visibility #
52.8/100
SearchScore's June 2026 benchmark of more than 150 Greater London accountancy firms found an average AI visibility (GEO) score of 52.8 out of 100, with only four firms scoring above 70.
Where these numbers come from.
The statistics on this page come from two related sources, and each one states which. The published SAVI figures (the 1,000,000+ analysed corpus and the quarterly index values) are report-level numbers from the Q3 2026 SAVI Report. The full scoring methodology and verification rules are published at /savi/methodology/. The per-signal rates are computed directly from SearchScore's live audit database, and each is quoted with its own sample size and date: score-distribution figures cover every scored audit in the live corpus, while signal-level rates (llms.txt, AI-crawler blocking, Organization schema) cover the 6,944 websites audited interactively through the free scan on this site, cross-checked against a recent live-corpus sample where stated.
Every audit uses the same automated pipeline that powers the free scan: it fetches the live page, robots.txt, llms.txt and sitemap, checks external authority and review signals, and scores the site against 250+ signals across 8 weighted GEO categories. No sites are excluded for being too small or too large, and no curation is applied.
The full measurement approach, including how each signal is collected and verified, is documented on the methodology page. The quarterly index built from this data, with tier distributions and category averages, is the State of AI Visibility Index (SAVI).
Updated July 2026. Next update: October 2026 (with SAVI Q3). These statistics are free to cite with attribution and a link. Suggested citation format: