[Free Report] Are you still searching on gourmet sites? The real search path to finding 'good restaurants' has changed with the spread of AI.

Canly Inc. (Headquarters: Shinagawa-ku, Tokyo; CEOs: Mamoru Tatsumi, Yutaro Akiyama), developer and provider of the 'Canly Store Marketing' service for centralized management of Google Business Profile, websites, and social media, has released a free report titled 'How do customers choose a "good restaurant"? The volume of information referenced and the impact of AI adoption.'

Traditionally, gourmet media and Google Maps have been the standard for attracting customers to restaurants. However, are you aware that the recent spread of AI has significantly changed how customers search for restaurants?

Canly conducted a survey of 600 consumers and has released a report on the reality of diversifying restaurant search behaviors based on real behavioral data. The latest survey found that in addition to traditional search methods, new AI search functions are becoming a top-tier information source.

Furthermore, even those who use new search methods do not complete their restaurant selection solely through them. They navigate between multiple information sources for comparison, and it has become clear that there is a specific order in how 'maps' and 'gourmet media' are used. If the entry point is weak, you may be losing customers before they even reach your detailed store information or gourmet media pages.

This report breaks down how customers collect information and explains the measures you should take now to become a chosen restaurant.

What you will learn in this report: - 3 latest points on how customers choose restaurants. - The reality of 'AI search' usage by the numbers and by age group. - Where to start: Key points for Google Maps optimization.

About Canly Store Marketing: 'Canly Store Marketing' is a cloud service that centrally manages store marketing media such as Google Business Profile, Yahoo! Place, Apple Maps, websites, and social media. It helps reduce management costs and identifies operational issues through data analysis.