Home / Accelacore AI Discovery
Video series · Season 1
Episode 1 · September 2, 2026 · 8:38
Maya and Sean Pan discuss what happens when customers ask AI for advice about whom to hire. They introduce the Invisible Professional, a business or practitioner whose reputation is clear to clients but hard to piece together from public sources.
Episode 2 · September 2, 2026 · 5:00
Maya explains generative engine optimization, or GEO, using a home inspector example. She asks four questions a business can use to examine its visibility: Can AI find it, understand it, trust the evidence, and see why it fits the customer’s request?
Episode 3 · September 8, 2026 · 7:10
Maya traces the steps that can shape an AI recommendation, from interpreting a customer’s request to deciding which evidence supports an answer. A comparison of two real estate agents shows how a specific customer need can change which agent’s evidence is most relevant.
Episode 4 · September 14, 2026 · 4:51
Maya looks at why a professional with loyal clients and deep local experience might never come up in an AI answer. She walks through three gaps: expertise that was never documented, descriptions that are too generic, and a reputation that lives mainly in private referral networks.
Episode 5 · September 21, 2026 · 6:21
Maya and Sean Pan discuss what businesses should keep doing for search and what changes when AI uses information from several sources to answer a question. An insurance example shows why a high-ranking page and strong evidence for a specific customer need can lead to different outcomes.
Episode 6 · September 28, 2026 · 5:03
Maya introduces six concepts for diagnosing where a business might drop out of an AI answer. She connects each concept to a practical question about the customer’s request, the sources available to AI, or the evidence those sources provide.
Episode 7 · October 5, 2026 · 4:37
Maya uses Priya’s example to show how a website, business profiles, customer reviews, and independent sources can describe the same expertise from different perspectives. She explains what each source contributes and why agreement across sources matters.
Episode 8 · October 12, 2026 · 4:13
Maya compares a five-star rating with a review that describes a family’s move to Alpharetta. She explains what specific customer language can reveal about the work a business does, how to write useful responses, and what to learn from the details customers repeat.
Episode 9 · October 19, 2026 · 5:03
Maya looks at why AI systems can draw on different sources when they answer the same question. She discusses what a business can document on its own site and what customers, directories, or independent sources can corroborate.
Episode 10 · October 26, 2026 · 6:14
Maya introduces query coverage, a way to map the questions customers ask to the evidence a business has for answering them. An estate planning example shows how to move from broad searches to specific situations that reveal why a customer might need help.
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