Semantic optimization: bridging the gap for AI accessibility
Learn how semantic optimization, schema markup, and structured data help AI systems find, understand, and cite your content for better visibility.
Read the playbookTechnical Website Optimization
Optimize your site's structure, crawlability and semantic signals so AI systems can discover, understand and cite your content.
Technical Website Intelligence is the practice of optimizing a website’s technical foundation so AI systems can efficiently discover, interpret, and retrieve its content. As AI-powered search and answer engines like ChatGPT, Perplexity, and Google AI Overviews become primary discovery channels, websites need to be structured not only for humans and traditional search engines, but also for large language models.
This includes improving crawlability, semantic HTML structure, structured data, schema markup, internal linking, and knowledge graph signals that help AI systems understand entities, topics, and relationships across a website. Technical Website Intelligence also focuses on retrieval-friendly content architecture, ensuring content can be accurately chunked, interpreted, and cited within AI-generated responses.
Rather than replacing traditional SEO, Technical Website Intelligence extends it for the AI era. It enables organizations to improve AI visibility, strengthen citation potential, and create a technical ecosystem where content is easier for intelligent systems to trust, extract, and recommend across emerging AI-driven search experiences.
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Building effective knowledge graphs: tools and strategies
Learn the tools, strategies, and workflows for building knowledge graphs that improve AI recognition, brand visibility, and generative engine optimization.
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How to ensure your site is LLM-friendly: practical tips
Learn actionable steps to make your website accessible to AI crawlers. Cover robots.txt, SSR, schema markup, content formatting, and monitoring tools.
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Common pitfalls in content architecture for AI retrieval
Identify the key content architecture mistakes that prevent AI systems from retrieving and citing your pages, and learn actionable fixes for each.
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Why LLMs miss your content: common formatting errors
Discover the formatting errors that stop LLMs from citing your content. Learn fixes for heading structure, semantic HTML, and citation-ready blocks.
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Technical intelligence: Optimizing websites for AI retrieval
Learn how to optimize your website for AI crawlers and LLMs with structured data, schema markup, knowledge graphs, and content architecture for better AI citations.
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AI Visibility Tracking
The metrics, benchmarks, and tactics marketing teams use to show up more often in AI-generated answers.
Explore the topicAI Opportunity Identification
Discover actionable ways to improve how AI models understand and recommend your company.
Explore the topicAgentic Content Automation
Use AI agents to plan, create, optimize and manage content across its lifecycle, and run AI-first editorial operations at scale.
Explore the topicSocial & Brand Signal Amplification
Grow AI visibility with trusted brand mentions, community engagement and social authority on the platforms AI systems learn from.
Explore the topicCMS & Stack Integrations
Connect your CMS, AI systems and marketing tools into one workflow that automates content operations, optimization and distribution.
Explore the topicPlatform Comparisons
Side-by-side comparisons of Asky and other SEO and GEO platforms, with dated pricing, features and trade-offs.
Explore the topicAsky
Programs from the Asky team, including the referral program that rewards you for every customer you bring in.
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