Episode 13: Hooking Brand Building Efforts into a Successful AEO Strategy
Episode 13: Hooking Brand Building Efforts into a Successful AEO Strategy
Brand building and AEO aren’t separate disciplines that occasionally overlap. In the entity-based world that answer engines operate in, they’re the same activity viewed from different angles. Brand signals are entity signals. The credibility a brand builds in the real world - through reviews, press, partnerships, and consistent presence - is the same credibility an algorithm measures when deciding whether a brand deserves to be the answer.
Episode 13 of the #SEOisAEO series explored that connection directly, with Chris Green and Alina Ghost joining Jason Barnard to examine how brand building efforts can be structured so they feed directly into AEO performance. The question isn’t just how to build brand - it’s how to build brand in a way that an algorithm can read, measure, and act on.
That distinction matters more than it sounds. A brand can be genuinely well-known and still score poorly for algorithmic credibility, because fame and algorithmic recognition aren’t the same thing. Fame lives in human memory. Algorithmic credibility lives in structured, corroborated signals distributed across the sources an algorithm trusts. A PR campaign that generates coverage on sites the Knowledge Graph doesn’t index does nothing for AEO. The same campaign, structured to generate signals on sources that feed into entity understanding - Wikipedia, Wikidata, authoritative directories, corroborated third-party references - builds algorithmic credibility directly.
This episode introduced the earliest version of what Jason later developed into the Kalicube Metrics: measurable scores for how well an algorithm understands a brand, and separately, how credible it finds that brand. The two scores are independent, and the gap between them is where most established brands leak authority. An algorithm that understands a brand but doesn’t find it credible will acknowledge it but won’t recommend it. An algorithm that finds a brand credible but doesn’t fully understand it will recommend it inconsistently, to the wrong audiences, in the wrong contexts.
The solution the episode pointed toward is the same one at the core of The Kalicube Process™: coordinate brand building activity around the signals that algorithmic systems can read, verify, and use - not just the signals that humans notice.
The presentation deck used during Episode 13 of the #SEOisAEO series is preserved on SlideShare.
Published by: Semrush. Host: Jason Barnard. Guests: Chris Green, Alina Ghost. November 20, 2018
