<h2>What Is AI Search?</h2>
<p>AI search synthesizes answers from multiple sources. Instead of a list of blue links, users see a concise response with cited sources or recommended actions.</p>
<h2>Why AI Search Optimization Matters</h2>
<p>Being cited by AI assistants drives referral traffic, brand visibility, and trust. Optimizing for AI complements traditional SEO, not replaces it.</p>
<h2>Content for Machines and Humans</h2>
<ul>
<li>Answer questions directly with scannable sections and FAQs.</li>
<li>Use entity‑rich language: people, products, brands, locations, and relationships.</li>
<li>Provide evidence: stats, references, and step‑by‑step procedures.</li>
</ul>
<h2>Technical Enhancements</h2>
<h3>Structured Data</h3>
<p>Use Article, FAQPage, HowTo, Product, and Organization schema to clarify context.</p>
<h3>Clean Information Architecture</h3>
<p>Group related topics into hubs, add breadcrumbs, and minimize duplication.</p>
<h2>Measuring AI Visibility</h2>
<p>Track branded mentions, referral spikes from AI platforms, and inclusion in AI overviews. Watch Google Search Console for changes in impressions and queries.</p>
