Original research

The State of LLM Visibility

We ran LLCrawler's free audit on 64 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.

67/100

Average visibility score

13%

Sites scoring below 50

41%

Sites with no llms.txt

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 13% (8)

Needs work (50–79) — partially readable 56% (36)

AI-ready (80–100) — findable and citable 31% (20)

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	64%
Low performance score: 31/100	Warning	50%
No detectable FAQ section	Warning	48%
No valid /llms.txt	Critical	41%
No first-party expertise language	Warning	36%
Open Graph incomplete	Warning	36%
No review platform links	Warning	36%

Methodology

Figures are aggregated from 64 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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