State of AEO (2026)
Real-time telemetry aggregated across 10,000+ audited websites showing how modern domains perform in AI Answer Engines.
Web-Wide AI Readiness Index
Calculated across multi-bot Accessibility, Semantic Code Quality, Schema Grounding, and Non-Commodity Content Depth.
Sites serving empty initial DOMs, forcing AI crawlers into rendering timeouts.
Domains without any structured JSON-LD data, reducing grounding context.
Websites that unintentionally block GPTBot, Perplexity, and Claude at the IP tier.
Domains deploying the new programmatic /llms.txt markdown route for AI agents.
Content Structure & Depth Benchmarks
Analyzing how content formatting directly impacts Answer Engine citations and AI extractability.
Pages with explicit Question-Answer headings easily indexable by LLMs.
Domains serving high-density structured tables or bulleted parameter lists.
Global average word count across all sampled domains.
Average depth required on top-ranking domains to achieve AI citation readiness.
Top 4 Most Common AEO Failures
Ranked by frequency across audited sites over the last 30 days. Primary issues causing domains to be overlooked by LLMs.
Missing Brand Schema Grounding
Omitting Organization and sameAs JSON-LD links leaves AI models uncertain about brand identity and entity ownership.
Unstructured Commodity Text
Fluffy marketing paragraphs without direct Q&A blocks, tables, or bolded facts make it difficult for RAG systems to synthesize concise answers.
JavaScript Hydration Wall
Serving empty initial HTML DOMs (React/Vue CSR) forces AI bots into rendering timeouts, resulting in 0 indexable text extracted.
Aggressive WAF / IP Blocking
Cloudflare default rules frequently challenge or block GPTBot and PerplexityBot at the TLS handshake level before reaching the page.
Average AEO Performance by Niche
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