{"id":152752,"date":"2026-08-04T04:05:00","date_gmt":"2026-08-03T22:35:00","guid":{"rendered":"https:\/\/aviationa2z.com\/?p=152752"},"modified":"2026-08-04T01:31:06","modified_gmt":"2026-08-03T20:01:06","slug":"japan-airlines-turns-to-chatgpt-reddit-as-ai-search-reshapes-marketing","status":"publish","type":"post","link":"https:\/\/aviationa2z.com\/index.php\/2026\/08\/04\/japan-airlines-turns-to-chatgpt-reddit-as-ai-search-reshapes-marketing\/","title":{"rendered":"Japan Airlines Turns to ChatGPT and Reddit as AI Search Reshapes Travel Marketing"},"content":{"rendered":"\n

TOKYO-<\/strong> Japan Airlines (JL)<\/a> is changing its digital marketing strategy after artificial intelligence began reshaping how travelers search for flights and airline information. The carrier says website traffic has declined as AI-powered search tools increasingly answer customer questions before they visit an airline’s website.<\/p>\n\n\n\n

Japan Airlines reported that daily website visits have fallen by around 10% year over year through early July, while travelers searching for flights to destinations such as New York John F. Kennedy International Airport (JFK) are arriving later in the booking journey after researching through ChatGPT, Google AI, Reddit, and YouTube, Ad Age<\/a> reported.<\/p>\n\n\n\n

\"Japan
Photo: Cl\u00e9ment Alloing<\/figcaption><\/figure>\n\n\n\n

Japan Airlines Responds to AI-Driven Changes<\/h2>\n\n\n\n

The rise of generative AI is significantly changing how consumers discover travel products and make booking decisions. According to Minako Kent, Vice President of Global Brand Marketing at Japan Airlines<\/strong>, the airline is seeing fewer first-time visitors reaching its website directly through traditional search engines.<\/p>\n\n\n\n

Instead of beginning their travel planning on airline websites, many customers now rely on AI-powered platforms that summarize information, compare airlines, recommend destinations, and answer travel-related questions. Google’s AI Overviews, ChatGPT, Reddit discussions, and YouTube content have become important sources of travel research before customers reach an airline’s booking platform.<\/p>\n\n\n\n

Kent explained that traditional search behavior was relatively straightforward. Travelers searched for flights, viewed advertisements, visited airline websites, and completed bookings. Today, the customer journey is much longer and involves multiple AI platforms before a purchase decision is made.<\/p>\n\n\n\n

As a result, Japan Airlines is focusing on maintaining visibility wherever travelers search for information rather than relying primarily on direct website traffic.<\/p>\n\n\n\n

\"Japan
Photo: ERIC SALARD | Flickr<\/figcaption><\/figure>\n\n\n\n

Website Traffic Declines as Customer Behavior Evolves<\/h2>\n\n\n\n

Japan Airlines reported that its website experienced approximately a 10% decline<\/strong> in daily visits during the first half of 2026 compared with the same period last year.<\/p>\n\n\n\n

However, the airline noted that the visitors who do reach its website tend to be more qualified customers. These travelers have already completed much of their research and are closer to making a booking decision.<\/p>\n\n\n\n

Rather than attracting casual browsers, the airline is increasingly receiving visitors who already understand available routes, products, and fare options after consulting AI search tools.<\/p>\n\n\n\n

This shift means airlines must optimize their visibility across multiple digital platforms instead of focusing solely on traditional search engine marketing.<\/p>\n\n\n\n

\"Japan
Photo: Aero Icarus | Flickr<\/figcaption><\/figure>\n\n\n\n

Measuring Visibility Through Share of Model<\/h2>\n\n\n\n

To understand how artificial intelligence platforms describe its brand, Japan Airlines has partnered with digital marketing agency Jellyfish.<\/p>\n\n\n\n

The agency developed a tool called Share of Model<\/strong>, which measures how frequently large language models mention a company’s products and services, how they compare the airline with competitors, and whether the overall sentiment is positive or negative.<\/p>\n\n\n\n

Unlike traditional search engine optimization metrics, Share of Model evaluates how AI systems such as Google Gemini, ChatGPT, Reddit-based responses, TikTok, and YouTube contribute to brand visibility.<\/p>\n\n\n\n

The tool also identifies gaps between the topics customers ask AI models and the search themes currently targeted by advertisers.<\/p>\n\n\n\n

John Dawson, Vice President of Strategy at Jellyfish<\/strong>, explained that the platform analyzes conversations generated by large language models and compares them with an advertiser’s existing search strategy. The findings help brands identify new advertising opportunities while improving organic content.<\/p>\n\n\n\n

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Photo: Canva and Compounded by Aviation A2Z<\/figcaption><\/figure>\n\n\n\n

AI Insights Improve Google Advertising Performance<\/h2>\n\n\n\n

Japan Airlines has already applied Share of Model insights to Google’s Performance Max advertising campaigns.<\/p>\n\n\n\n

According to a Jellyfish case study, the agency introduced more than 150 new search themes across six advertising asset groups. Advertising budgets were shifted away from lower-performing markets toward higher-value international routes.<\/p>\n\n\n\n

Key routes receiving additional focus included services connected to New York John F. Kennedy International Airport (JFK)<\/a> and San Diego International Airport (SAN).<\/p>\n\n\n\n

The results included:<\/p>\n\n\n\n