AI SEO Best Practices

If you ask five people to define AI SEO, you’ll get five different answers. Some will point you to a pile of new tools. Others will say it’s all about “optimizing AI search results”. A few will tell you it’s a brand-new discipline that makes everything you know about SEO obsolete. They’re all missing the point. It’s actually much simpler than that. AI SEO isn’t a separate skill set; it’s simply SEO extended for AI-powered search experiences. 

Google’s own guidance backs this up. As the company puts it, AI SEO is still SEO, and it’s reported in their guide: “ The best practices for SEO continue to be relevant because our generative AI features on Google Search are rooted in our core Search ranking and quality systems.” 

At the same time, experts like Veruska Anconitano at Search Engine Land describe AI SEO more specifically as: “The process of making your content discoverable, extractable, and trusted across AI-powered search experiences. It builds on SEO fundamentals — helpful content, technical strength, semantic structure, and authority — but develops them further to align with the way AI systems interpret, summarize, and surface information.”

Both are true: AI SEO doesn’t throw out traditional SEO. It builds on it.

How AI Search Is Changing SEO

There’s no doubt that AI search is shifting the SEO landscape fast. Before, search was mostly about blue links: users scroll, choose, and click. Now, large language models (LLMs) retrieve and synthesize answers directly in the results.

 That changes the game:

• You can rank well in traditional search but be invisible in ChatGPT, Perplexity, or Gemini for the same queries.
• Visibility now means being the source AI chooses to cite, not just a page that’s indexed.
• Success is no longer only about position #1; it’s about being included, accurately represented, and referenced in AI-generated answers.

Core AI SEO Best Practices

AI SEO rests on the same foundations as traditional SEO. If you’re strong in these areas, you’ll likely perform well in both traditional and AI search:

• Create useful, helpful, user-first content that shows E‑E‑A‑T (Experience, Expertise, Authoritativeness, Trustworthiness)
• Focus on clear, structured, and extractable content
• Answer specific niche questions directly in natural language
• Show deep topic knowledge and expertise
• Optimize entity clarity through consistent NAP data, schema markup, topic clusters, and citations
• Maintain strong technical foundations.

Because rankings are no longer the only measure of performance, you also need to monitor visibility in AI environments: how often your brand and content appear in AI search results, and how accurately they’re represented.

AI SEO Key Takeaways

As AI search evolves, treat AI SEO as an extension of core SEO fundamentals for AI-powered search.

Focus on:

• Clear, structured, and genuinely helpful content
• Strong technical foundations
• Consistent entity and brand signals
• Measurement that includes AI visibility and citations, not just rankings and traffic.

Do this consistently, and you’ll stay ahead in both traditional and AI-driven search.

If you want help applying this to your website, don’t hesitate to reach out to Jelly Marketing. Our team can audit your website and build a tailored SEO plan specific to your goals and needs.