Observed Signal · Jun 22, 2026 · Product Launch · Source: DEV Community · Impact: 2/5 · Sentiment: Positive
Architecting Websites for the AI Web
The article argues that traditional SEO focused on ranking in ten blue links is no longer sufficient as users increasingly rely on LLM-powered search (ChatGPT, Claude, Perplexity) and autonomous agents. It proposes a new discoverability stack built around three pillars: CRO (Conversion Rate Optimization) for humans, GEO (Generative Engine Optimization) for AI search, and ASO (Agentic Search Optimization) for autonomous agents. Practical recommendations include semantic HTML, comprehensive JSON-LD structured data, explicit self-contained statements for LLM citation, machine-readable application state, ARIA and standard form attributes for predictable agent interaction, and verifiable metadata. The author notes that low-code AI tools make implementation easier and promotes a commercial audit platform, Greater Than Services, which analyzes sites against the three pillars. Publication date: 2026-06-22.
Frames practical guidance for optimizing websites for LLMs and agents and announces a niche audit product; relevant to SEO/MarTech practitioners but not industry-shifting.
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Key Takeaways & Evidence Grounding
- Article proposes three pillars for modern discoverability: CRO, GEO, and ASO.
- GEO (Generative Engine Optimization) recommends semantic HTML, comprehensive JSON-LD schema, and explicit formatting to help LLMs parse and cite content.
- ASO (Agentic Search Optimization) recommends machine-readable application state, predictable form data, standard HTML attributes and ARIA labels to enable autonomous agents to interact with sites.
- The author built Greater Than Services, a digital platform that audits websites against CRO, GEO and ASO signals.
- Published on dev.to on 2026-06-22.
Connected Companies & Entities
3 Entities mappedOntology Mapping & Concepts
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