네이버 홈판 인기 블로그 트렌드 리포트 (2026-10-18)
With changes to Naver Home's search algorithm, the "popular post block" has disappeared from integrated search, forcing bloggers to rethink their traffic strategies. Meanwhile, a heated debate over priority seating in restaurants has emerged as a major hot topic, while travel trends are shifting away from Seoul and overseas toward regional domestic spots. In the food sector, AI-driven K-food product planning and personalized diet management are capturing attention, pushing content beyond simple recipes into tech-integrated territory.
Naver Home Popular Blog Trend Report — 2026-10-18
Popular Blog Content by Category
- Naver Popular Keyword Trend Analysis: Naver recently removed the "popular topic block" and "popular post block" from its integrated search, drastically altering how blog search results are exposed. Bloggers are analyzing new competitive keywords and search volume data to establish response strategies.
- 62% in Favor of Restaurant Priority Seating: Following a survey showing that 80% of people give up if wait times at trending social media restaurants exceed 30 minutes, a fierce debate for and against "paid priority entry" systems is igniting blogs and communities.
- 2026 Korean Travel Trends: Moving away from Seoul-centric travel, a "domestic local travel" trend is spreading as people turn their attention to rural towns and domestic travel destinations.
- K-Food Clothed in AI: At the 2026 Food Tech & Trends Conference hosted by Chosun Biz, AI-utilized product planning and consumer response prediction technologies became major talking points.
- Community Popular Posts Roundup: Recent community highlights—such as items bought on Dang근마켓 after the holidays or how MZ generations eat cup noodles—are recording high view counts on everyday consumption patterns and life-close content, serving as popular blog material.
Detailed Category Trends & Recommended Reasons
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Food/Restaurants: "Waiting limits" and "priority entry" are the core keywords. According to surveys, if the waiting time at a buzzworthy restaurant exceeds 30 minutes, 8 out of 10 people look for an alternative spot. Consequently, 62% of respondents voted in favor of "priority entry" services where customers pay a fee to skip long lines, leading to active sharing of related reviews and experiences on blogs.
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Tech: Rather than direct new product reviews, the "convergence of AI and tech" combined with the food/cooking domain is driving trends. Highlighted at the 2026 Food Tech Conference, AI-based consumer response prediction and customized diet tech are gaining traction, increasing the proportion of tech blogs covering these "AI food tech" industry shifts.
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Domestic Travel: "Provinces instead of Seoul" and "domestic instead of overseas" are the travel keywords for 2026. Despite a surge in searches for overseas hotspots like Hakodate on Skyscanner, the overall Korean travel trend is shifting toward exploring domestic regional destinations and investing in tastes and experiences rather than just prices.
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Cooking/Recipes: Rather than simple recipe sharing, "tables suggested by AI" represent the new flow. As AI technologies that predict consumer responses and build personalized diets enter the commercialization stage, cooking methods utilizing these AI-recommended recipes and high-nutrient products (reflecting rising demand due to the spread of obesity treatments) are drawing attention.
Today's Comprehensive Trend Analysis
Today's Naver Home and blog trends can be summarized as "changes in platform algorithms" and "shifts in consumer practical values."
First, Naver's removal of the "popular post block" from integrated search is fundamentally shaking up blog traffic structures. This requires bloggers to match search intent more precisely rather than simply occupying specific keywords, bringing analytical tools like "blog charts" and "keyword trends" to the forefront as essential reference materials.
On the content side, "efficiency of experiences" and "rediscovery of the local" stand out clearly. In dining, the debate over "priority entry"—paying to buy time rather than waiting blindly—has settled in as a trend; in travel, "local travel," which uncovers the hidden value of domestic provinces instead of big cities or abroad, has taken root. Furthermore, as AI technology deeply penetrates cooking and food planning, users expect far more than simple "flavor"—they anticipate "the optimal table recommended by AI."



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