Research

State of AEO Adoption 2025

An analysis of AEO readiness across websites audited through AuditIQ, covering the most common gaps, score distributions, and the revenue opportunity from fixing them.

Key findings

94%

of audited sites are missing llms.txt

78%

have no FAQ schema markup

61%

have no Organization schema

average AEO score across all audited sites

$82k

median annual revenue opportunity identified

3.2h

average time to implement high-priority AEO fixes

The AEO gap is widespread

Across sites audited through AuditIQ, the average AEO score is 43 out of 100. The distribution is heavily skewed: a small number of large enterprises score in the 70s and 80s, while the majority of small and mid-size business sites score below 50.

This isn't primarily a content quality problem. Most sites have useful, accurate content. The gap is structural, the content isn't marked up in ways that allow AI engines to confidently extract and cite it. The fixes are largely technical, not editorial.

Most common AEO gaps

Missing llms.txt, the single most common gap, present in 94% of audited sites. Takes 30 minutes to create and immediately signals AEO intent to AI crawlers.
No FAQ schema, 78% of sites have FAQ-style content with no FAQPage markup. AI extractors rely heavily on this schema for answer generation.
Absent Organization schema, 61% lack the structured data that establishes brand entity for AI knowledge graphs.
Non-snippet-formatted answers, content is written as long-form prose rather than concise 40-60 word definition paragraphs that AI extractors prefer.
Missing SoftwareApplication or Product schema, especially common for SaaS products, which often have no structured data indicating what the product does or costs.

The revenue opportunity

When site owners provide their traffic and revenue metrics, AuditIQ calculates the annual revenue opportunity from fixing identified issues. The median opportunity across audited sites is $82,000 per year, based on the traffic lift expected from resolving high and medium priority findings.

The wide range reflects the diversity of sites audited. A high-traffic e-commerce site with significant technical debt can have a multi-million dollar opportunity. A smaller B2B SaaS site might see $40-80k. In both cases, the ratio of opportunity to fix cost is highly favorable: most high-priority fixes take under 4 hours to implement.

Highest-ROI fixes by category

llms.txt creation, 30 minutes, immediate AEO signal improvement across all AI engines
FAQ schema implementation, 1-2 hours, enables rich result eligibility and AI citation
Organization schema, 30 minutes, establishes brand entity recognition
XML sitemap submission to Search Console, 1 hour, accelerates indexation of all pages
Core Web Vitals fixes (LCP optimization), 1-3 days, direct ranking factor improvement

Methodology: Data is drawn from sites audited through AuditIQ. Scores reflect the AI-generated audit analysis across 100+ signals in seven categories. Revenue opportunity figures are estimates based on owner-provided traffic and financial metrics combined with expected traffic lift from fixing identified issues. This is a living report, findings will be updated as more audit data becomes available.

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