Original research

The State of LLM Visibility

We ran LLCrawler's free audit on 83 real websites and aggregated the results. This is what AI readiness looks like across the web right now — average scores, the most common failures, and how few sites have the basics in place.

69/100
Average visibility score
11%
Sites scoring below 50
35%
Sites with no llms.txt
83
Sites analyzed

Why this matters

25%

Projected drop in traditional search volume by 2026 as users shift queries to AI assistants. If buyers ask ChatGPT instead of Google, being citable is the new being rankable.

Gartner (2024)
~900M

Weekly active users on ChatGPT by early 2026 — a discovery channel that barely existed two years ago. The sites AI cites are the ones it can read and trust.

TechCrunch (2026)

How sites score

Critical (0–49) — mostly invisible to AI 11% (9)
Needs work (50–79) — partially readable 53% (44)
AI-ready (80–100) — findable and citable 36% (30)

The most common issues we find

Share of audited sites where each issue showed up at least once.

Issue Severity % of sites
No BreadcrumbList or SiteLinksSearchBox Warning 78%
No /llms-full.txt file found Warning 67%
No detectable FAQ section Warning 58%
No review platform links Warning 49%
No citations or references found Warning 47%
Low performance score: 31/100 Warning 47%
No first-party expertise language Warning 46%
No credential or expertise signals Warning 45%

Methodology

Figures are aggregated from 83 completed LLCrawler audits of public websites. Each audit crawls the homepage plus up to nine internal pages and scores six categories: structured data, content structure, meta and social tags, performance, AI readiness (llms.txt, robots.txt directives, JavaScript dependency), and sitemap. Issues are counted once per site. Numbers update as more sites are analyzed.

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