Over the last few months, me and my team has been digging into something we think will become a big part of SEO (or whatever replaces it): how AI engines interpret, cite, and surface brands.
Not from a curiosity standpoint — more from necessity. We wanted to understand why, when you ask ChatGPT, Gemini, or Perplexity about a product, company, or service, certain brands show up repeatedly while others (even those with stronger SEO signals) don’t appear at all.
Here’s what we’ve found so far:
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AI engines build their own “trust graph.” It’s not just links — it’s context, citations, and consistency across the open web.
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Structured data still matters, but AI models seem to prioritize clarity of entity relationships (who, what, where, connected to whom).
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Mentions > backlinks in some contexts — especially where models try to summarize or synthesize opinions.
And, maybe most interestingly: visibility is uneven across engines. A brand that dominates in Perplexity might barely register in Gemini or Claude.
We’ve been tracking these patterns and testing ways to measure and improve AI visibility across different sectors — SaaS, eCommerce, agencies, and publishers. That led us to build a platform that automates this analysis from just a domain URL — mapping citations of a brand and it's competitors, explicit and implicit mention opportunities across major AI engines.
Curious to know if anyone here is also working on AEO and improving their AI visibility — or experimenting with ways to strengthen how AI engines perceive their clients’ brands.
If anyone would like to try it and analyze their brand or their client's brand for AI visibility and opportunities, I'd be happy to schedule a call.
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from Search Engine Optimization: The Latest SEO News https://ift.tt/m4Z3h0W
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