Open stats
Real, anonymous numbers from every site AIVIS has scanned so far. No individual domains, just the aggregate picture.
Score distribution
- A315 (17%)
- B267 (15%)
- C324 (18%)
- D377 (21%)
- F548 (30%)
By industry
- SaaS & software133 sites · avg 79.4/100
- News & Media58 sites · avg 63.2/100
- Universities49 sites · avg 58.7/100
- E-commerce47 sites · avg 65.2/100
- Banking & Finance29 sites · avg 69.6/100
- Public Sector27 sites · avg 55.5/100
- Hotels & B&Bs14 sites · avg 68.5/100
- Restaurants12 sites · avg 61.1/100
- Telecom & Utilities10 sites · avg 60.9/100
- Automotive10 sites · avg 71.6/100
- Travel & Transport6 sites · avg 60.5/100
- Real estate agencies6 sites · avg 61.5/100
- Web agencies4 sites · avg 92.8/100
- Law firms & professional services2 sites · avg 76/100
- Local businesses & tradespeople2 sites · avg 73/100
Methodology: every number above is computed live from the latest scan of each domain AIVIS knows about (scan or seed data), sampled up to 20,000 reports. Aggregates only — we never publish individual domain scores here.
Generated Nov 5, 2026, 3:31 PM.
These numbers are also available as JSON, free and without authentication: see the API docs
GET https://aivis.lumnika.com/api/v1/statsSources
Since September 2022 the robots.txt rules that GPTBot, ClaudeBot and PerplexityBot read are an internet standard, RFC 9309; crawlers must parse at least the first 500 KiB of the file. IETF, RFC 9309: Robots Exclusion Protocol
The llms.txt proposal, published on 3 September 2024 by Jeremy Howard, gives language models a curated Markdown map of a site instead of thousands of HTML pages. Answer.AI, /llms.txt: a proposal to provide information to help LLMs use websites
Schema.org, the vocabulary AI engines read in JSON-LD, was launched in June 2011 by Google, Microsoft and Yahoo, and is now the shared vocabulary of search and AI crawlers. Wikipedia, Schema.org