白瓜AI·穿搭文案

Platform introduction:

The Baimelon AI Xiaohongshu Wear and Wear Copywriting Tool is a "vertical copywriting productivity hub" created for Xiaohongshu Wear and Wear creators. It solves the pain points of three types of wearing and wearing tracks: Simplification of style : Xiaohongshu Wear and Wear Notes are published every day. More than 1.5 million pieces are published every day. Ordinary copywriting is lower than the industry average (<80 times) due to "only displaying styling and no matching logic";* Insufficient practicality : Most copywriting lacks suggestions for "scene adaptation" and "body adaptation", and users "want to imitate but can't implement it" after reading it; Weak communication : They don't understand the "emotional title + interactive guidance" logic of Xiaohongshu, and it is difficult to attract likes and comments after exposure.

Its core logic is to "use 'vertical matching data + platform explosion logic' to reduce costs and improve efficiency": no need to explore matching skills, AI automatically inserts practical suggestions such as "show the height/cover the flesh"; no need to worry about style limitations, and the scene-based template Covers all wearing needs; there is no need to manually optimize communication, built-in "emotional titles + interactive conversation" allows wearing copywriting to shift from "simple display" to "practical grass planting", adapting to all levels of demand from amateur novices to clothing brands.

Core functions:

1. Core: Four major functional modules
   1. Scene-based dressing copy template: covering 15+ subdivided scenes
      Solve the problem of "copywriting has no direction and content is not focused" and adapt to different wearing needs:
      • Coverage of subdivided scenes : Including "spring commuting, summer dating, autumn stacking, winter warmth, workplace formal dress, small people appear tall, slightly fat cover meat, student party parity, lady brand matching, travel wear, Dating style, interview dress, daily leisure, sports style, retro style" 15+ scenes, each template has a built-in small red book hit structure;
      • Template example :
      • Small man scene: Enter "Wear a small man for spring commuting" and automatically generate "155cm can also wear a visual sensation of 170cm! I locked this commuting outfit "(emotional title)+" Top: Short denim coat (pull the high waist line) → Pants: High-waist straight pants (cover the ankles to show the length of the legs) → Shoes: 5cm thick heel Loafers (invisible height increase is not bulky)"(high logic)+" Tips: Tie the belt at the thinnest part of the waist, visually lift it up another 3 cm "(practical tips);
      • Slightly fat scene: Enter "Slightly fat girls wear for summer dates" to generate "Slightly fat girls, stop wearing loose T-shirts! This dress is slimming by 10 kilograms "(pain point resonance title)+" Version: A-line skirt (covering the crotch width and thigh meat) → neckline: V-neck (lengthening the neck line) → Color: dark bottom + Small floral (slimming but not monotonous)"(meat cover logic)+" Matching: canvas bag + small white shoes, dating is easy and not deliberate "(scene adaptation);
      • Style adaptation : Support switching between the four mainstream styles of "Japanese Fresh","Korean Simple","Commuting Ability" and "Retro Hong Kong Style", which fits different blog designs (such as the student party's choice of "Affordable Japanese", and the workplace candidate "Commuting Ability").

2. Combination of logic and practical suggestions: Improve the value of copywriting
   Solve the problem of "collocation suggestions are empty and users cannot implement them" and enhance the practicality of copywriting:

   • Core collocation elements :
     • Color matching skills: Automatically implant rules such as "the same color color shows high-quality" and "complementary colors attract the eye without obtrusive". Examples: "The top is beige white + the pants are light khaki. The same color shows gentleness, and the yellow skin also shows white";
     • Body fitting suggestions: Create customized combinations for "small, slightly fat, apple, pear" shapes and other figures. Example: "Avoid tights for pear shapes! Choose wide-leg pants + jacket to balance crotch width and leg thickness ";
     • Occasion adaptation: Adjust the matching details based on the scene. Example: "Avoid wearing clothes in the workplace! The shirt is made of draping fabric, and the skirt length is over the knee, formal but not stiff ";
   • Brand recommendation optimization : The document mentions "brand recommendation" elements, and the tool supports inputting brand names (such as "Uniqlo" and "ZARA"), and automatically generates "brand features + suitable crowd + matching scenarios" sentences. Example: "Uniqlo's sunblock suit is so suitable for commuting! Light, breathable and not sultry. If paired with the same brand of wide-leg pants, a set of less than 500 yuan, student parties can also compete."

3. AI hit title generation: 5 resonance formulas
   Solve the problem of "flat titles and low click-through rates" and increase the exposure of notes:

   • Emotional title formula :
     • Pain points resonate: "The slightly fat girl finally found her destiny dress! Covering meat and showing temperament "" After the little man stepped on 10 sets of thunder, this commuting suit looks high and practical ";
     • Scene substitution: "Wearing this to work on Monday, my colleague asked me if I had secretly grown taller""Wearing this dress on a weekend date, my boyfriend said that I was 10 times gentler than usual";
     • Cost-effective:"Get a commuter suit for 300 yuan! Uniqlo + famous premium products, the texture is not inferior to the big brands ";
   • Title optimization function : Support the entry of initial titles (such as "My Commuter Wear"), and the AI will automatically upgrade to popular versions (such as "158cm Small Commuter Wear Sharing, I haven't worn this for 3 years and haven't been tired"), and mark the "Hot Model Index"(0-100 points), prompting the optimization direction (such as "Add Body Tags" and "Highlight Practicality").

4. Compliance and interactive guidance: ensuring communication and transformation
   Solve the problem of "copywriting violations and low interaction volume" and achieve a "content-goal" closed loop:

   • Compliance filtering : Automatically circumvent absolute terms such as "slimest" and "absolutely good-looking" and replace them with "very slimmer to me" and "I personally like it" to avoid violations;
   • Interactive speech implantation : A guiding question is automatically added at the end. Example: "What other skills do the little sisters have to show their height? Share in the comment area "" Do slightly fat girls think this dress is suitable? Deduct 1 to tell me "to increase the number of comments;
   • Conversion guidance : The brand version supports the insertion of "purchase suggestions". Example: "I bought this shirt at the ZARA offline store, and there is the same model online. Size M is enough" to guide users to take action.

typical application scenarios

• Amateur novice creation : The student party wants to share the "affordable student wear" scenario, select the "student party fair price" scenario through the tool, enter "summer wear within 300 yuan", and generate a copy with high + affordable value. After release, it won 1200+ interactions, increasing 80+ fans, far exceeding the previous 60+ interactions of "toolless creation";
• Batch updates for full-time bloggers : Wear and wear bloggers need to review the two notes of "Autumn Stacking" and "Workplace Wear" every day, and use the "Personal Creator Edition" to generate copywriting in batches. They only need to fine-tune their personal style (such as adding "I am 155cm, just right for S size"). The creation time has been shortened from 2.5 hours to 20 minutes, and the number of popular notes in the month has increased from 1 to 4;
• Apparel brand grass planting : A fast fashion brand used the "Apparel Brand Edition" to generate 15 grass planting copybooks for the two scenarios of "small people show height" and "simple commuting" and distributed them to partner amateur bloggers. The average interaction rate increased by 35%, and brand search volume increased by 1.8 times;
• MCN Matrix Operation : A certain MCN manages 8 accounts, and uses the "team sub-account" function to uniformly generate "Winter Warm Wear" copy, which adapts to different account styles (Japanese/Korean), and the overall account growth rate has increased by 28%.

applicable population

• Little Red Book Dress Creator : Amateur novices, part-time bloggers, and full-time bloggers need to efficiently generate practical and highly interactive dress copy to improve the efficiency of note exposure and fan raising;
• Apparel brand marketers : Fast fashion brands, niche designer brands, and apparel agent operation teams need to produce batch production of amateur grass planting copywriting and brand matching guides to reduce marketing costs;
• MCN institutional operations : For wearing MCN, standardized copywriting templates are required for multiple accounts to ensure content quality and update frequency;
• Ordinary users : Users who want to share personal wear but do not understand copywriting need light quantitative tools to generate "logical and bright" notes and copywriting.

Unique advantages (compared with similar copywriting tools)

1. Deep adaptation of wearing and hanging type : It understands more about wearing and fitting segmentation requirements than general AI copywriting tools (such as ChatGPT)(such as "small people show height logic" and "slightly fat cover skills"), and the generated content is more suitable for the pain points of users wearing Xiaohongbook. A blogger reported that "the amount of copywriting interactions written using general tools is 70+, and after using this tool, it can reach 800+";
2. The practicality orientation is obvious : Different from the general copy that "only displays the shape", the tool is forced to embed "color matching, body adaptation, and occasion suggestions". Users can directly imitate it after reading it. The practicality score is 40% higher than that of similar tools;
3. Precise control of the rules of the Little Red Book : The built-in small red book wearing violation thesaurus (updated in real time) is more accurate than the "universal compliance tool", and the violation rate has dropped from 7% in manual creation to below 0.3%;
4. Data-based optimization support : Provide data feedback on "title click-through rate, comment rate, and fan growth rate". AI recommends optimization directions based on the data (such as "adding body tags" and "supplementing purchase suggestions"), and a brand will "plant grass" after using it. The conversion rate for copywriting has been increased by 2 times."

precautions

1. Personalized adjustment of copywriting : The copywriting generated by AI needs to be fine-tuned based on the actual situation of the individual (such as "I wear S-size just right" is changed to "I am 120 kilograms, and I wear M-size loose but not tight") to avoid "same stereotypes";
2. Practicality verification : Matching suggestions need to be based on real wearing experience, avoid fictional "display effect" and "skin-covering degree", and maintain account trust (such as "claiming a display height of 5cm, but actually only 2cm" may easily cause users to question);
3. Precise tag matching : Common tags recommended by the tool (such as "#Wear and Wear Sharing") need to be supplemented with subdivided tags (such as "#Small Wear" and "#Commuter Wear") to improve the accurate exposure of notes;
4. Paid features can be selected on demand : Newcomers can try the free version of the basic template first, and full-time bloggers/brands can upgrade the paid version to unlock batch generation and data playback functions to avoid waste of resources;
5. Controlling style diversity : The document mentions "avoiding single styles" and recommends switching scenarios regularly (such as "commuting" this week and "dating" next week) to avoid user aesthetic fatigue caused by homogenization of account content.