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DTSTART:20260811T170000Z
DTEND:20260811T180000Z
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SUMMARY:2026 Lunch Hour Learning -August 11th-Get Recommended by AI: A Plain-English Guide
DESCRIPTION:Get Recommended by AI: A Plain-English Guide\n\nYour customers open ChatGPT\, Google\, and Claude\, ask which company to trust\, and act on whatever name comes back. This session translates the jargon into everyday business language first\, then shows how the machinery works. You learn how the engines select the companies they name\, why clean and consistent information gives them something dependable to repeat\, and which edits move the needle within the first month. \n\nWe will cover:\n\n\n	Mention and Citation: You learn the gap between being named in the prose and being linked as the clickable source\, where the link carries the stronger pull because readers can act on it.\n	Brand and Category Prompts: You see how brand prompts name your company outright while category prompts describe the customer need and leave the winner to the model\, so you measure visibility across both situations.\n	Presence Share: You track presence share\, the percentage of AI answers where your domain earns a mention or citation\, which gives leadership one honest metric to watch over time.\n	Probe Runs: You read results from probe runs\, where the full prompt set fires across every engine repeatedly\, so the picture reflects steady distributions across many firings.\n	Content That Keeps the Lead: You learn to read the answers across your category\, name the prompts where your presence runs thin\, and choose which pages to sharpen and which fresh pieces to build\, so your content stays the source the models reach for as the field shifts under everyone.\n\n\nWhether you guide teammates\, advise clients\, or run your own website\, you will walk away able to explain AI visibility in everyday words and hold a leading position as the answer engines continue to evolve.\n\n\n\nLunch Hour Learning: \n\nHeld on the 2nd Tuesday of the Month at Noon\n\nThis is a smaller\, peer-led\, brown-bag session focused on knowledge-sharing in an informal setting. It allows members to dive deeper into specific topics\, providing practical insights for those particularly interested in the subject.
X-ALT-DESC;FMTTYPE=text/html:<h3><strong>Get Recommended by AI: A Plain-English Guide</strong><br />\nYour customers open ChatGPT\, Google\, and Claude\, ask which company to trust\, and act on whatever name comes back. This session translates the jargon into everyday business language first\, then shows how the machinery works. You learn how the engines select the companies they name\, why clean and consistent information gives them something dependable to repeat\, and which edits move the needle within the first month.&nbsp\;<br />\nWe will cover:</h3>\n\n<ul>\n	<li>Mention and Citation: You learn the gap between being named in the prose and being linked as the clickable source\, where the link carries the stronger pull because readers can act on it.</li>\n	<li>Brand and Category Prompts: You see how brand prompts name your company outright while category prompts describe the customer need and leave the winner to the model\, so you measure visibility across both situations.</li>\n	<li>Presence Share: You track presence share\, the percentage of AI answers where your domain earns a mention or citation\, which gives leadership one honest metric to watch over time.</li>\n	<li>Probe Runs: You read results from probe runs\, where the full prompt set fires across every engine repeatedly\, so the picture reflects steady distributions across many firings.</li>\n	<li>Content That Keeps the Lead: You learn to read the answers across your category\, name the prompts where your presence runs thin\, and choose which pages to sharpen and which fresh pieces to build\, so your content stays the source the models reach for as the field shifts under everyone.</li>\n</ul>\n\n<h3>Whether you guide teammates\, advise clients\, or run your own website\, you will walk away able to explain AI visibility in everyday words and hold a leading position as the answer engines continue to evolve.<br />\n<br />\n<strong>Lunch Hour Learning:&nbsp\;</strong></h3>\n\n<p style="box-sizing: border-box\; margin: 0px 0px 10px\; color: rgb(85\, 85\, 85)\; font-family: Poppins\, sans-serif\; font-size: 16px\; background-color: rgb(255\, 255\, 255)\;">Held on the 2nd Tuesday of the Month at Noon</p>\n\n<p style="box-sizing: border-box\; margin: 0px 0px 10px\; color: rgb(85\, 85\, 85)\; font-family: Poppins\, sans-serif\; font-size: 16px\; background-color: rgb(255\, 255\, 255)\;">This is a smaller\, peer-led\, brown-bag session focused on knowledge-sharing in an informal setting. It allows members to dive deeper into specific topics\, providing practical insights for those particularly interested in the subject.</p>\n
LOCATION:118 W 6th St Suite C Monticello\, MN 55362
UID:e.1243.9279
SEQUENCE:3
DTSTAMP:20260715T091551Z
URL:https://business.monticellocci.com/events/details/2026-lunch-hour-learning-august-11th-get-recommended-by-ai-a-plain-english-guide-9279
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