SearchScore
The State of AI Search Visibility
350,000+ websites audited. 71% are invisible to the AI engines replacing Google.
AI is rapidly becoming the primary interface for discovery. Unlike search engines, AI systems do not rank websites. They select and cite sources. This report measures which businesses are included – and which are not.
The Internet Has Split. Most Businesses Are on the Wrong Side.
- 71% of websites are not cited by AI systems
- Only 0.12% are AI-Ready
- Average visibility score: 41.4/100
- Entire industries are structurally invisible
What is AI search visibility? AI engines synthesise one answer from sources they trust. AI visibility measures your likelihood of being that source. The signals differ from traditional SEO. Most businesses have never measured them.
71% of the Web Is Invisible to AI Search
Only 377 websites out of 350,000+ qualify as AI-Ready. The rest range from struggling to absent.
Google rank does not transfer. A site invisible to AI search will not be cited – regardless of its position on page one.
Businesses that rank on Google are not optimised for AI discovery. These are different systems with different selection criteria.
Three Fixable Signals Are Missing From Most Sites
78.4% of websites lack the basic files AI crawlers need. The fixes take hours, not months.
No llms.txt file
This file tells AI crawlers what your site contains and where to find it. Creation time: 20 minutes. Adoption rate: under one in four.
No structured data
Schema markup identifies who you are and what you do. Without it, AI engines guess. 63.2% of sites force them to.
Blocking AI crawlers
38.8% of sites block GPTBot, ClaudeBot, or PerplexityBot – often unintentionally, through legacy bot rules. Blocked sites cannot be cited.
The three missing signals are fixable. Most organisations have not prioritised them because AI visibility has not yet been measured.
Tech Leads. Every Other Industry Is Behind.
Cloud/Tech averages 68.6. The next-best sector scores 61.4. No industry averages above 70.
| Industry | Avg Score | Distribution | Sites Audited | Top Performer |
|---|---|---|---|---|
| Cloud / Tech | 68.6 | 642 | expoplatform.com | |
| MarTech | 59.2 | 634 | seo.com | |
| Data Analytics | 61.4 | 269 | airbyte.com | |
| Media | 58.5 | 1,851 | contactanycelebrity.com | |
| Legal | 43.1 | 638 | yourlawyer.com | |
| SaaS | 39.5 | 6,950 | searchscore.io | |
| Healthcare | 45.4 | 1,777 | webmdhealthservices.com | |
| Finance | 40.8 | 2,096 | alexandersloan.co.uk | |
| Dental | 47.6 | 3,576 | vitaldent.com | |
| Crypto / Web3 | 40.8 | 835 | chaincatcher.com | |
| Estate Agent | 38.6 | 1,207 | homesgofast.com |
Note: Industry averages are based on sites where classification was possible. Approximately 70% of audited sites lack sufficient structured data to determine their industry. These unclassified sites average 3 points lower than classified sites – suggesting true industry averages may be lower than shown. We are actively working to improve classification coverage and will update these benchmarks as more data becomes available.
Tech-native companies did not deliberately optimise for AI. They built with structured data and modern standards – which happen to align with AI citation requirements.
Global brands are not immune
These globally recognised brands were in our dataset. Their scores confirm that scale and reputation provide no advantage in AI search.
Scores reflect the state of each website's AI visibility signals at time of audit. Scores may change as organisations update their web presence.
Seven Signals Determine AI Visibility
SearchScore evaluates each website across 56 checks in 7 weighted categories. Scores reflect the criteria AI engines use when selecting sources to cite.
How directly your content answers questions AI users ask
External signals that establish your entity as credible and known
Evidence of experience, expertise, authoritativeness and trust
Crawlability, speed and structural correctness
Machine-readable schema that tells AI who you are and what you do
Presence and consistency across directories, social and citations
Depth and focus on your subject matter
Google Rank Does Not Predict AI Visibility. Early Movers Will Own the Citations.
Three findings from 350,000+ audits.
SEO success does not transfer.
Backlinks, keyword density, and PageRank drive Google results. AI engines use different signals. Sites ranking #1 on Google routinely score below 50 for AI visibility.
Tech-native companies hold structural advantages.
Cloud (68.6) and Data Analytics (61.4) outperform Estate Agents (38.6) and Finance (40.8) by 20+ points. Modern web standards happen to align with AI visibility requirements.
The window is closing.
0.12% of sites are AI-Ready. Brands that act now will own their category's citations before competitors recognise the shift.
No industry averages above 70. AI search visibility remains unsaturated across every sector.
First-mover advantage in AI visibility is real and compounding. Citation history reinforces future citations. The gap between early movers and late movers will widen.
What Leaders Should Do Now
Three priorities for organisations that want to be found by AI systems.
Most organisations do not know their AI visibility score. Run an audit before allocating resources. Benchmark against your sector average.
Create an llms.txt file. Add JSON-LD schema markup. Verify AI crawlers are not blocked in robots.txt. These three changes address the most common deficiencies in the dataset.
AI systems select sources that answer questions clearly and credibly. Content written for keyword density does not serve this purpose. Structure content around authoritative, question-aligned answers.
Key Findings & Quotable Stats
Copy-ready soundbites for press, presentations, and social media.
The takeaway: The AI visibility gap is the next SEO gap. By the time most businesses notice they are invisible, their competitors will own the space.
About This Report
Methodology, dataset scope, and citation information.
The SAVI Report is published by SearchScore. This inaugural edition analysed 350,000+ websites audited between January and March 2026. Users of the free SearchScore tool submitted domains organically. Each site was evaluated across 130+ signals in 8 categories.
Full methodology: searchscore.io/methodology/
How the data was collected
All data comes from SearchScore audits conducted between January and March 2026. Domains were submitted organically by users of the free tool – the dataset reflects real-world websites across industries, not a curated sample.
Each site is scored across 130+ signals in 8 categories: AI Visibility (25%), Brand Authority (15%), Content Quality (20%), Technical Foundation (10%), On-Page Structure (10%), User Experience (8%), Topical Authority (10%), and AI Visibility (12%). The score reflects the criteria AI engines use when selecting sources to cite – not Google ranking factors.
For full methodology details, see searchscore.io/methodology.
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