The web sites recommended by beanbags and kimi have one thing in common: not the top rankings, not the top ads, but the web sites with high information density and repeated references from the platform. Instead of looking at how to rank, the bosses should look at how to make the website a source of information that ai would like to quote。
Look at the big picture. The cnnic survey showed that the use of bean buns had reached 72. 2 per cent, deepseek had reached 62. 0 per cent, and ai products had become the main entry point for users to access information. The cnnic report contains an original saying that the generated ai product has been transformed from a “dialogue tool” to an “information access tool”. The saarchles report, however, indicates that the average daily search volume of the ai engine has exceeded 3 billion, representing 38 per cent of the entire search market. Your target clients are increasingly asking in ai which keywords to use, rather than in 100 degrees. At this point, your website can be recommended by ai, and it's a direct decision to be seen by clients。
The biggest concern of the bosses is how to get ai to recommend himself
I. Bean buns prefer technology dry goods and kimi prefers depth perspective
Open it, the two engines taste differently。
The bean bag prefers the technical dry product. It has been measured with high-frequency references to platforms such as csdn, headlines, fox searches, knowledge and telecommunication clouds. The common denominator of these sites is a high level of information density, an article that sheds light on an issue, with clear data, steps and conclusions. The bean bag requires practical content that can answer user questions directly。
Kimi's taste is more deep and far-fetched, preferring knowledge, 36 krypton, tiger smell, interface news, minority. The content, analysis and perspectives of these platforms are significant. Kimi wants something that is insightful and provides a basis for judgement, not an encyclopaedia answer。
Bean bag versus kimi's recommended preference
The dimensions, the beans, the kimi
| | | | | |
High frequency reference platform csdn, headline, fox search, knowledge, 36 krypton, tiger sniff, minority
Technologically dry goods, information density, depth analysis, opinion judgement
♪ answer style, answer style, practical, direct answer ♪
Appropriate content curriculum, evaluation, inventory analysis, observations, views
Ii. Common bottom line for two engines: rejection of empty content
Both engines have different tastes, but there is a common bottom line: both reject empty text and keywords。
