Get Found, Get Chosen: a workshop for hospitality & attraction brands
About this Event
Everyone's telling you how to optimise for ChatGPT, Claude, Gemini and the rest. Fewer people are asking what that's costing your brand's personality along the way.
Here's the thing: 56% of consumers are now using AI to decide where to stay, eat, and go. If your brand isn't visible to these tools, you're invisible to the guest before they've even started looking.
But visibility is only half the story. Getting found isn't the same as getting chosen; and an AI-recommended brand that sounds exactly like its five competitors still loses the booking.
This is where kahani comes in - the only framework of its kind built specifically for hospitality and attraction brands, designed to make you machine visible and human lovable.
In this free, interactive workshop (no death-by-PowerPoint here), you'll learn:
- How to check your AI visibility across ChatGPT, Claude, Gemini, Perplexity and Copilot - and what to do with what you find
- The EEAT framework and why it's become the backbone of AI-era credibility
- Entity mapping and structured data, in plain English, how AI actually "reads" your brand
- Brand storytelling and world-building that gives your brand a semantic fingerprint no competitor can copy
- How to create and promote a genuine point of difference - one that AI can understand and humans fall for
You'll leave with a practical grasp of GEO (Generative Engine Optimisation) and the storytelling tools to turn that visibility into bookings and repeat guests, not just impressions.
Delivered by Neely Khan, founder of kahani, whose GEO and story-led brand work includes Dishoom, YO!, Abode Luxury Rentals and Cheval Collection - alongside a guest AI visibility expert who'll bring the technical depth from the other side of the table.
If your marketing, brand or social team has spent this year wondering whether "optimise for AI" means "sound like everyone else," this workshop is built for you.
Where is it happening?
Event Location & Nearby Stays:
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