For AI to efficiently parse and trust your website's content, you must use technical schema. This backend code labels key information like "last updated" dates, FAQs, and reviews, allowing AI to quickly understand and validate your content's credibility.

Businesses excelling at traditional SEO can still be invisible to AI-powered search engines. AI prioritizes structured data (schema) and directory signals differently than Google's algorithm. A separate strategy for "Answer Engine Optimization" (AEO) is now required.

Don't abandon SEO for GEO. LLMs rely on the same crawling and indexing systems as traditional search engines. To be cited by AI, you must first have strong SEO fundamentals like fast load times and structured data. GEO then builds on this by focusing on answering specific user questions.

Don't overcomplicate technical Answer Engine Optimization (AEO). The most impactful factors are the same as in SEO: strong internal links, proper schema markup, and ensuring LLMs can crawl your page. Hyped tactics like `LLMs.txt` are currently ineffective and not used by major search engines.

The first step to influencing AI is ensuring your website is technically sound for LLMs to crawl and index. This revives the importance of technical audits, log file analysis, and tools like Screaming Frog to identify and remove barriers preventing AI crawlers from accessing your content.

Technical structure is crucial for AI Search Optimization (AEO). An article with properly ordered HTML headings (H1, H2, H3) is three times more likely to be cited by an LLM compared to a similar Page 1 ranking article with poor structure, making it a critical, low-effort optimization.

Implementing foundational technical SEO practices like schema.org markup is more critical than ever. Webflow's data shows that sites using these tools to semantically structure content saw significantly higher traffic growth, as LLMs prioritize easily readable data.

A holistic strategy for AI search optimization (AEO) requires three pillars: presence in key directories (off-page), traditional content optimization (on-page), and structured data via schema.org markup (technical) to ensure the AI can read and understand your services.

AI engines use Retrieval Augmented Generation (RAG), not simple keyword indexing. To be cited, your website must provide structured data (like schema.org) for machines to consume, shifting the focus from content creation to data provision.