Insights from the Interon studio
Writing about AI readiness, structured data, and the quiet shift in how websites get discovered — practical, evidence-led, and short on hype.
Tagged “Technical SEO”
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Why Tidua and Interon Run the Most Accurate Website Health Audit
Most AI-readiness audits measure convenient signals rather than the factors that actually influence visibility in ChatGPT, Perplexity, Gemini, Claude, and AI Overviews. This article explains the evidence behind Tidua's scoring model and how Interon implements improvements based on proven ranking and citation signals.
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JSON-LD Patterns That Make Content Machine-Interpretable
JSON-LD is a structured data format that helps search engines, AI systems, and generative engines understand what your content means instead of only reading its text. As AI-driven discovery becomes more important across search, assistants, and recommendation systems, websites need structured data that clearly defines entities, relationships, context, and intent.
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Why Technically Strong Websites Still Fail Entity Confidence Checks
Entity confidence checks are the processes AI systems use to determine whether a website clearly represents a trustworthy, identifiable, and contextually consistent entity. Many technically strong websites still fail these checks because technical performance alone does not guarantee machine understanding.
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How to Use GEO Effectively: Win Visibility in AI Search
A practical GEO guide to help your content get cited in AI answers, with clear structure, schema, entity signals, and measurement tips.
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Why 95% of Websites Will Be Outdated in 6 Months
Most websites don’t become outdated because they break — they become outdated because they slowly lose clarity, trust, performance, and visibility. Learn why Website Health is now essential for long-term digital success and how businesses can future-proof their websites through better structure, usability, accessibility, and ongoing optimisation.
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