How AI visibility actually works.
Research, technical notes and case studies on AI visibility across SEO, GEO and AEO — structured data, trust signals, and index control. Evidence over opinion.
Beyond Eligibility: Entity Clarity and Evidence Gaps on 1,005 EU HVACR Websites
A public-web benchmark of 1,005 Layer-1-clean EU HVACR sites measuring how clearly each site shows the company behind it, what it offers, where it operates and what proves its experience.
Before Ranking: Technical Eligibility Barriers on 1,353 EU HVACR Websites
A public-web benchmark of 1,353 EU HVACR sites measuring technical eligibility risks for crawling, indexing, rendering, snippets and language routing.
What AI Visibility Means and Why It Matters for Business
AI visibility is not another SEO trick. It is about how clearly and usefully your business can be understood by people, search engines, and AI.
IndexDock: a product platform for AI visibility control
IndexDock is building a product platform for AI visibility work: a public marketing layer, AI Discovery Screening, analysis tools, reporting, API integrations, and a foundation for visibility control and position protection. The public screening gives users a fast first signal, while the wider system supports deeper analysis, competitor gap discovery, content and site management, and structured delivery.
What Makes a Site AI-Operable
What makes a site AI-operable: technical accessibility, structure, answer-ready content, aligned signals, and post-release stability.
AI Visibility Outlook 2026 H1: Why This Is Now an Operating Discipline
AI visibility in 2026 H1 is moving from one-off optimisation to an operating discipline: how search is changing, which signals are getting stronger, and what this means for business.
Ventall: from legacy HVAC website to commercial demand system
IndexDock rebuilt Ventall from 0% schema coverage and 10% Share of Answer to a structured demand system with pricing qualification, request routing, and measurement layer.
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