Paris by Emily

Executive Summary

The Challenge

Paris by Emily had a strong brand, distinctive experiences, and an official connection to Emily in Paris, but those advantages did not automatically translate into visibility when travelers used AI tools to plan trips, compare experiences, or decide what to book in Paris. The opportunity was to make the company easier for AI systems to understand, reference, and surface when travelers asked high-intent questions.

The Solution

Alskly mapped the travel questions most closely connected to booking demand, then tracked where Paris by Emily appeared, which competing experiences AI systems recommended, and which sources influenced those answers. We improved the website, destination information, FAQs, local signals, reputation signals, and booking journey so AI systems received clearer information about the brand while travelers received a simpler path from discovery to reservation.

The Results

LLM-referred traffic grew 42x. More travelers arriving through AI Search reached Paris by Emily with stronger intent, connecting AI discovery more closely with the company’s direct booking experience.

The AI Search Opportunity

Turning Brand Authority Into AI Visibility

Paris by Emily already had a clear market position as the Official Travel Brand of Netflix’s Emily in Paris. Its experiences also had strong connections to Parisian culture through local artisans, chefs, venues, filming locations, food experiences, and private tours.

AI systems still needed clear evidence linking the brand to the questions travelers were asking. Alskly focused on turning existing brand authority, destination information, and experience details into information AI systems were better able to understand, verify, reference, and connect with relevant travel searches.

How Alskly Helped Paris by Emily

AI Search Intelligence

Alskly mapped high-intent travel questions connected to Paris experiences and booking demand. We tracked brand mentions, competitor recommendations, and the sources AI systems relied on when forming answers.

This showed where Paris by Emily already appeared and where important visibility gaps existed. Instead of treating AI Search as one broad traffic channel, Alskly connected the work to specific traveler questions and the experiences people were more likely to research before booking.

Technical GEO Optimization

Alskly improved the way Paris by Emily presented important business and experience information across its website and local presence. We connected property and destination facts, experience details, FAQs, structured information, and local listings so AI systems received more consistent signals about what the company offered and where those experiences took place.

The goal was simple. When an AI system evaluated Paris by Emily, the website needed to make the company, its experiences, its location, and the relationship between important topics easy to understand and verify.

Content Designed for AI Discovery

Alskly aligned website and destination content with the questions travelers were asking before choosing an experience. That meant making useful details around tours, private experiences, locations, booking information, and frequently asked questions easier to find and interpret.

This helped close the gap between how Paris by Emily described its experiences and how travelers searched for them through AI tools. The content gave AI systems clearer material to reference while helping visitors understand what they could book.

From Mentions to Recommendations

Visibility alone was not the goal. Alskly worked to strengthen the signals AI systems use when deciding whether a brand deserves to appear as a useful source or recommendation.

We strengthened reviews, reputation signals, credible citations, and information consistency across the wider web. This gave AI systems more supporting evidence around Paris by Emily while helping travelers feel more confident when they moved from an AI recommendation to the company’s website.

Alskly also focused on what happened after the click. We reduced friction around experience pages, mobile browsing, offers, pricing information, policies, and booking handoffs so increased AI visibility had a clearer path toward direct bookings.

The Results

42x Growth in LLM-Referred Traffic

Paris by Emily increased LLM-referred website traffic by 42x after working with Alskly. The growth showed that the brand was reaching far more travelers through AI-driven discovery.

The business value went beyond additional visits. According to Paris by Emily, the increase brought more qualified travelers from AI Search directly into its tour booking journey, connecting stronger AI visibility with real booking demand.

What Alskly Changed

Making Paris by Emily Easier for AI to Find and Trust

Paris by Emily started with a distinctive brand and experiences people already had a reason to search for. Alskly made those strengths clearer to AI systems by connecting high-intent traveler questions with stronger website information, local signals, citations, reputation signals, and a more direct booking path.

The result was 42x growth in LLM-referred traffic and a stronger connection between AI discovery and direct tour bookings.