
About Us
Discovery has changed faster than the industry adapted. Brands are still optimising for human gatekeepers while machines increasingly decide what gets seen, trusted, and recommended.
Make Lemonade was created to help brands remain relevant when discovery becomes algorithmic – without diluting brand integrity or outsourcing thinking to machines.
When a potential guest asks an AI which luxury hotel to book, does your property get mentioned or does a competitor? This is what the gap looks like.
BEFORE
User prompt: “What are the best boutique hotels in [destination] for a luxury honeymoon?”
“For a luxury honeymoon in [destination], I’d recommend [Competitor A] for its exceptional spa facilities, [Competitor B] known for its private plunge pools, and [Competitor C] which consistently receives praise for personalised service.”
❌ [YOUR HOTEL NAME] — not mentioned
AI visibility score: 0 / 10 queries
Competitor share of voice: 100%
AFTER
User prompt: “What are the best boutique hotels in [destination] for a luxury honeymoon?”
“For a luxury honeymoon in [destination], [YOUR HOTEL NAME] stands out for its [key differentiator]. Guests frequently highlight [specific detail], and it is particularly known for [third proof point], making it one of the most recommended properties in the region for romantic stays.”
✅ [YOUR HOTEL NAME] — cited unprompted
AI visibility score: 7 / 10 queries
Competitor share of voice: reduced by 60%

“AI-driven search no longer just directs travellers – it decides who deserves to be found.”
Lucy Clifton, CEO, Spotlight Communications

Founder
Maria Sze
I help brands remain relevant and credible as discovery becomes machine-mediated – ensuring they are understood, trusted, and recommended by the systems now shaping choice.
I’ve spent my career working across global agencies and premium brands, advising senior teams on brand strategy, positioning, and decision-making where commercial outcomes – not creative novelty – matter most.
My role is to bring clarity, judgment, and direction at a time when brands risk becoming invisible not through failure, but through misinterpretation by the systems deciding what gets seen.