We led a workshop on AI visibility. The questions in the chat were the real story. - PR Daily

"If you have been feeling like the rules of your job quietly changed and nobody sent a memo, you are not imagining it. The way people find information and decide whom to trust has shifted rapidly, and most communications playbooks have not kept pace."

"The questions the audience asked were not about tools. They were about real problems - and almost every one was, at its core, a PESO Model question. Owned media not structured to be found. Earned coverage serving AI work but not being tracked. Shared content scattered across channels with nothing tying it together."

"Is GEO the same as AEO? Close, but not quite. AEO - answer engine optimization - is the older term, originally for the answers surfaced in featured snippets, voice search and "People Also Ask." GEO - generative engine optimization - is newer and more specific: it refers to being cited or named within the synthesized answers LLMs like ChatGPT, Claude, Perplexity and Gemini generate. The two are converging, but the playbooks differ."

"Nearly 60% of searches now end without a click. If your content is not structured to be cited, you are not just ranking lower. You are not in the conversation at all. "We don't have original data. Does that mean AI will never cite us?" The honest answer: you do not need to own the data. You need to own the interpretation. This is an owned media problem in disguise - the expertise exists, but it has no permanent home on a domain you control."

Job rules for information discovery and trust have shifted quickly, leaving many communications playbooks behind. People search and decide whom to trust differently, and many visibility problems map directly to PESO Model needs. Owned media often lacks structure for being found, earned coverage about AI work is not tracked, and shared content is scattered without a unifying system. GEO and AEO are related but not identical: AEO focuses on older answer surfaces like featured snippets and voice search, while GEO centers on being cited or named in synthesized responses from LLMs. With many searches ending without clicks, content must be structured to be cited. Original data is not required for AI citation; owning interpretation and expertise on a controlled domain matters. Anecdotes like “our students do well” are insufficient without stronger evidence.

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