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  "articleBody": "When you're trying to get your website ready for AI search, it's easy to make a few common mistakes that can hinder your visibility. Many businesses, understandably, try to apply traditional SEO thinking to a new problem, which often doesn't pan out. Forgetting that AI systems have different needs than keyword-based search can lead to wasted effort and missed opportunities. You want your content to be found and cited, not just ranked.\n\nCommon Mistakes to Avoid\n\n1. Treating 'AI SEO' as a separate technical system: Many think there's some secret AI-specific switch. Fact is, core technical SEO principles are still vital, but you need to combine them with an answer-first content strategy. Don't invent new, unsupported technical requirements.\n2. Blocking useful content with robots.txt or snippet controls: Sometimes, in an effort to control what search engines see, businesses accidentally block AI crawlers from accessing the very answers they want cited. Be mindful of what you're telling bots not to touch.\n3. Placing essential information only in images, scripts, or interactive elements: AI systems primarily consume text. If your crucial service details, hours, or FAQs are embedded in graphics or hidden behind complex JavaScript, AI won't 'read' them and therefore can't cite them.\n4. Using duplicate or inconsistent business information across platforms: AI loves consistency. If your name, address, phone, or service descriptions vary wildly across your site and other online profiles, AI struggles to confirm your identity and expertise, reducing trust signals.\n5. Publishing structured data that doesn't match the visible page: Schema is powerful, but only when it accurately reflects what's actually on the page. Don't add misleading schema just hoping to trick AI; it often backfires and can lead to penalties or ignored markup. Focus on accurate, verifiable data.",
  "datePublished": "2026-09-23"
}