本人是一個芫荽控，這間分店的芫荽山的確非常少，還有外賣有時會將它放入湯入面，其他分店都是分開用個兜裝的，右邊那幅圖是我在灣仔分店那裏的芫茜山是這個份量，為何兩間的分別那麼大？難道荃灣海之戀分店的芫荽是特別貴所以不能給那麼多嗎？
Visibility scorecard
Six dimensions, 100 points. Every line shows what we found and where — good and bad.
Which assistant named you, per question
best in citynear me tonightspecial dinner
ChatGPT–––
Gemini–––
Claude–––
DeepSeek···
named younamed a neighbour insteadneither
Named, by language of the question
English0/3
Cantonese (繁)0/3
Mandarin (简)0/3
Guests in Hong Kong ask in English, Cantonese and Mandarin. The score uses the English answers; the Chinese ones show your blind spots in the other languages.
Rating against the AI floor3.5 → 5.0
you 3.3nearby
Last 10 reviews by dateoldest → newest
RepliedNo reply
From Google
From your website
From Instagram
Instagram followers vs nearby
Posts per month vs nearby
Fixes, in order
Highest points first. Each one is something you or your team can do this month.
- Not named in any of 3 AI answers. When a guest asks an assistant for a place like yours, you are not in the conversation.AI answers+17 pts
- No online booking path at all — every guest has to call or message.Bookability+6 pts
- Rated 3.3 — below the 4.3 floor ChatGPT-class assistants usually require before recommending.Google presence+5 pts
- Asked about you by name, Perplexity gets part of the picture — cuisine or location is missing or wrong.AI answers+4 pts
- Fewer than 30 Google reviews.Google presence+4 pts
- Not in the first two pages of Google Maps for “Noodle restaurant Tsuen Wan Hong Kong”.Google presence+4 pts
- No reply to any of your last 10 reviews.Reviews+4 pts
- No Reserve a table button on your Google listing — the most direct booking path there is.Google presence+3 pts
How you compare with 5 nearby restaurants
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Google presence and AI answers only — the dimensions we score for every venue.
#5
A Lai Noodle3.3★ · 113 · AI 0/3
24#6
TamJai Yunnan Mixian (OP Mall) · you3.3★ · 29 · AI 0/3
18What the assistants said
The exact answers, with your name and your neighbours' names highlighted. This is what a guest reads.
TamJai Yunnan Mixian (OP Mall) is a **fast-casual noodle shop** in **Tsuen Wan**, at Shop 1023, 1/F, OP Mall.[1] Its cuisine is listed as **Fast food, Noodles**, and the chain is known for **Yunnan-style rice noodles** with customizable toppings and soup bases, including spicy options like Chongqing sour and spicy soup, mala soup, and tomato soup.[1][3][16] The neighbourhood is **Tsuen Wan**, in the **New Territories** of Hong Kong.[1][5] OpenRice also places it a short walk from **Tsuen Wan West MTR Station**, which fits an easy-access mall location.[5] On reservations: I **do not see evidence that this branch takes reservations** in the sources provided.[1][5][13] TamJai is generally described as a casual, quick-service noodle chain, and one Hong Kong guide specifically says **“No reservations”** for TamJai as a brand-level description.[13]
Asked: “What are the best Noodle restaurants in Hong Kong? Give me a ranked list of 5 with the restaurant names.”
Here is a ranked list of 5 of the best noodle restaurants in Hong Kong: 1. **Mak's Noodle** 2. **Kau Kee Restaurant** 3. **Tsim Chai Kee** 4. **Ho Hung Kee** 5. **Cheung Hing Kee**
Asked: “I'm in Tsuen Wan, Hong Kong tonight. Recommend 5 Noodle restaurants nearby. Names only, one per line.”
永年車仔麵 榮記粉麵 新記車仔麵 津津牛腩 光輝潮州粉麵
Asked: “Recommend 5 Noodle restaurants in Hong Kong for a special dinner with friends. Names and a one-line reason each.”
1. **Ho Hung Kee (何洪記)** – Michelin-starred Cantonese noodle specialist, perfect for a refined yet lively group dinner. 2. **Mak Man Kee Noodle Shop (麥文記)** – Famous for silky wonton noodles and rich broth, a beloved classic for a celebratory meal. 3. **Kau Kee (九記)** – Legendary beef brisket noodles in a deeply savory broth, worth the queue for friends who love bold flavors. 4. **Tsim Chai Kee (沾仔記)** – Generous, plump shrimp wontons in a clean, satisfying soup, ideal for a fuss-free special night. 5. **Kwan Kee Bamboo Noodle (坤記竹昇麵)** – Handmade bamboo-pressed noodles with springy texture, offering a unique craft noodle experience.
Asked: “Hong Kong最好嘅Noodle餐廳係邊幾間？請排名列出5間，寫出餐廳名。”
1. 麥奀雲吞麵世家 2. 沾仔記 3. 何洪記 4. 九記牛腩 5. 劉森記
Asked: “我今晚喺Hong KongTsuen Wan，推薦5間附近嘅Noodle餐廳。只需要餐廳名，一行一間。”
荣记粉面 云贵川米线 谭仔云南米线 米线阵 龙记上海面家
Asked: “想同朋友喺Hong Kong食一餐特別嘅晚飯，推薦5間Noodle餐廳，每間一句原因。”
1. **何洪记**：米芝蓮一星嘅雲吞麵，湯頭清甜，麵條爽滑，帶朋友食絕對有面子。 2. **一蘭拉麵**：個人化湯底濃度同辣度，獨特嘅單間座位，適合想專注享受拉麵嘅朋友。 3. **新記車仔麵**：自選配料自由度極高，秘製辣汁夠晒惹味，最啱鍾意DIY嘅朋友。 4. **劉森記**：招牌蝦籽撈麵，麵條自家製，蝦籽香濃，傳統手藝值得一試。 5. **夏銘記**：魚蛋粉湯底鮮甜，魚蛋彈牙，簡單但經典，適合想食得舒服嘅朋友。
Asked: “Hong Kong最好的Noodle餐厅有哪些？请按排名列出5家，写出餐厅名称。”
以下是香港最受欢迎的5家Noodle餐厅排名，基于口碑、历史及美食评价： 1. **麦奀云吞面世家（Mak's Noodle）** 以传统云吞面闻名，汤头鲜美，云吞皮薄馅足，面条爽滑弹牙。 2. **何洪记（Ho Hung Kee）** 米其林一星餐厅，招牌干炒牛河及云吞面均属上乘，面条口感细腻。 3. **沾仔记（Tsim Chai Kee）** 主打大颗云吞和鲜虾云吞面，汤底浓郁，性价比高，常年排队。 4. **刘森记（Lau Sum Kee）** 老字号竹升面专家，全蛋面爽口弹牙，搭配自家制辣椒酱更是一绝。 5. **九记牛腩（Kau Kee）** 虽以牛腩闻名，但其清汤牛腩面是经典，牛腩软烂入味，汤底醇厚，面条吸满汤汁。
Asked: “我今晚在Hong KongTsuen Wan，推荐5家附近的Noodle餐厅。只要餐厅名称，一行一家。”
荣华面家 新记车仔面 佳记面家 阿纯山东饺子 沾仔记
Asked: “想和朋友在Hong Kong吃一顿特别的晚餐，推荐5家Noodle餐厅，每家一句理由。”
以下是5家适合在香港享用特别晚餐的面馆推荐，每家附一句理由： 1. **麦奀记（忠记）** – 经典虾子云吞面，皮薄馅鲜，汤底浓郁，体验地道港式老字号风味。 2. **一兰拉面** – 源自日本的豚骨拉面，可自选汤底浓度与辣度，适合打造专属的深夜仪式感。 3. **沾仔记** – 米其林推荐，招牌鲜虾云吞个头惊人，搭配自制辣酱更添惊艳口感。 4. **豚王** – 四款特色汤底（原味、黑王、赤王、翠王）与手工面条，满足对日式拉面的所有想象。 5. **好到底面家** – 老字号自制全蛋面，虾子捞面弹牙爽滑，一碗下肚尽是怀旧港味。
Latest Google reviews
Newest ten: recency, replies, and what guests keep mentioning.
Last review
4 months ago
Reply rate
0/10
Last 10 average
2.9★
呢間比其他分店差
垃圾餐廳紙巾要額外買都算 仲要客特登去收銀買
味道不錯，加點辣更好吃。
第一次喺譚仔嗌凍菜蜜飲落係同水一樣咁淡，杯嘢剩係得勁少菜蜜，同埋已經嗌咗少冰，但係至少八成都係冰。跟住個酸辣湯底唔知點解又冇酸味又冇辣味，又係煮得好淡叫人點食，以前呢間啲食物水準一向唔差，但而家真係超級垃圾，千祈唔好幫襯佢！
Guests keep mentioning
shirataki noodles×2yakult×2vegetarian roll×2agaricus subrufescens×2vegetarian dishes×2Clean environment×2cherry×2landscape×2
Google results for your name
What a guest sees on Google's first page for “TamJai Yunnan Mixian (OP Mall) Hong Kong”.
Directoriesfoodpanda#1 · OpenRice#2 · Tripadvisor#8
Press & blogsTamjai Yunnan Mixian (OP Mall) - EatSmart Restaurant#4 · TamJai Yunnan Mixian (OP Mall) - Tsuen Wan West#6 · TamJai Yunnan Mixian#9
Socialnone found
Forumsnone found
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