Many sellers are still using old - fashioned thinking, such as painstakingly burying keywords, heavily investing in SP advertising, and staying up late to adjust rankings. As a result, new products become silent immediately after being listed, ACoS skyrockets, and the weight just can't be improved. Today, let's talk about a truth that most people overlook:Rufus AIhas been officially shut down, and all of its inclusion judgment, weight allocation, semantic ranking, and traffic decision - making have been integrated intoAlexa AIsystem. All the old methods based on Rufus or A9 are completely invalid.

I. Rufus is dead, and Alexa has full control
In the past, Rufus was an independent "auditing referee", responsible for inclusion, weight, and natural ranking; Alexa was only in charge of advertising and recommendation. Now they are merged, and Alexa takes care of everything: auditing compliance, allocating initial weights, distributing search and advertising traffic, dynamically adjusting weights, and deciding rankings. Simply put, it used to be managed by two people, but now one person has the final say. Whether your link can enter the search pool, has weight, or can achieve high sales volume is all determined by Alexa's set of logic.

II. Alexa's three - layer filtering mechanism
The first layer: Basic compliance screening. Alexa automatically checks UPC, category, title compliance, image specifications, infringing words, variant structure, etc. If it violates the rules, it will not be included in the pool directly, and no matter how much advertising money you spend, it's in vain.
The second layer: Global semantic matching. Alexa grabs titles, five points, ST, attributes, A +, videos, QA, and determines product categories, functions, target audiences, and scenarios. Products with keyword stuffing and messy copywriting will be judged as having unclear intentions and can only get a very small word pool and low weight. Iron rule: Alexa recognizes unified scenario semantics, not scattered keyword stuffing.
The third layer: 14 - day golden weight allocation. New products still have acold start period, but the weight is dynamically allocated by Alexa. It gives initial traffic according to store performance and Listing completeness, and then monitors data such as CTR, add - to - cart, and conversion. Good data → automatically expand words and increase weight; poor data → quickly narrow words and reduce weight. Five core weight factors: semantic relevance (first), conversion data, store historical weight, positive advertising signals, and associated recommendation weight.

III. Practical operation process for new product promotion
Before listing: Let Alexa accurately identify the product. The copywriting semantics should be unified, focusing on "product + target audience + scenario + pain points", and reject keyword stuffing; complete all attribute tags; strengthen the use scenarios in the main picture and A + video.
1 - 7 days of cold start: Run SP automatic advertising (narrow, broad, related) to let Alexa grab real search terms and competitor traffic. Keep high - CTR and high - conversion words every day, negate invalid words in time, and strictly control ACoS. Garbage traffic will make Alexa reduce weight.

7 - 14 days of outbreak period: For the precise words generated by automatic advertising, layout SP manual precision; start SB brand advertising and bind scenario words; open SD display advertising to harvest competitor audiences. Multiple - advertising linkage can quickly increase sales volume and inversely stimulate Alexa to increase weight.

Long - term traffic: Bury colloquial and scenario - based question words in QA, and add colloquial phrases in video titles to seize voice search and long - tail traffic.

In conclusion, the Rufus era has ended, and Alexa has become the only decision - making center. Stop clinging to old methods. Let Alexa understand your product and accumulate positive conversion signals, so as to fully enjoy the 14 - day weight bonus and achieve rapid breakthrough for new products.

Source: Cross - border e - commerce Kuajingwu