Even if AI uses traditional search to find sources it doesn't follow the same rules, we got some interesting data points about how AI looks for recommendations.
🚨And we even got time to get Technical with a: Live Website Analysis🚨:
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The staggering difference between traditional Search Engine Optimization (SEO) and the new reality of AEO. The data clearly shows they are not the same game.
- AEO and SEO Are Not the Same: Our research reveals that only 51% of the sources cited by AI also appear in traditional Google or Bing search results. SEO has become a cat-and-mouse game of building backlinks to rank higher against Google's rules. AEO is fundamentally different.
- AI Seeks Consensus, Not Just Rankings: AI answer engines don't simply pull the #1 search result. Instead, they act like a researcher, scanning a wide range of sources to find a consensus. They look for "topical, relevant sources" and gather recommendations from communities, directories, review sites, and industry-specific blogs to form an opinion on which brands are most credible.
- How AI Recommends a Brand (The Two-Step Process):
1-Validation: First, AI goes to trusted, third-party sources (like industry blogs, review sites, and communities) to identify which brands are being discussed and recommended positively.
2-Information Retrieval: After identifying credible brands, AI then visits those brands' websites directly to "fetch the information that is required to build the answer".