roborock AI Visibility Report

AI Brand Visibility Report

roborock

robotic vacuum cleaner · Claude / DeepSeek / DOUBAO / GPT / Kimi

5 AI engines10 scenarios↓ -14 below industry avg5 blind spotsConsistency 0%

AI Visibility Score

/ 100

Industry avg 55

Blind Spots

Covered

Consistency

⚠️

Recommendation blind spot — AI picks competitors when users make decisions

For queries like "what is the most reliable brand of robotic vacuum cleaner", roborock's hit rate is only 0%. AI knows roborock but doesn't recommend it at critical moments.

▶ Score Explanation — How is this calculated?

Score = Discovery × 60% + Brand Strength × 40%

Discovery 60%

Hit rate when unfamiliar users search. Reflects whether AI proactively recommends you. roborock's discovery: 3 / 100.

Brand Strength 40%

Weighted positive sentiment when users ask about you. Positive ×1 / Neutral ×0.5 / Negative ×0. roborock's brand strength: 99 / 100.

Rank Penalty

Average rank > 3 when mentioned → −5 to total score. roborock: No penalty triggered.

Score 0–100, industry avg ~55. Rescan monthly as AI training data updates.

Technical Foundations

AI Visibility Foundations

Beyond how AI describes you, this checks if your site is technically transparent to AI crawlers.

🤖 AI Crawler Config

llms.txt missing

Create it to improve AI citation rate

GPTBot allowed

ClaudeBot allowed

🌐 Entity Authority

Wikipedia entry found

Wikidata entity found

B+

Grade

Good foundation — AI crawlers can access your site.

4/5

💡 Recommended Fixes

→Create roborock/llms.txt with brand description and key pages (see llmstxt.org)

AI Brand Narrative

How AI Describes roborock

Synthesized from all AI engines. Higher consistency means more reliable AI recommendations.

doubao

0/10 hits

Brand not mentioned by this engine

gpt

5/10 hits

“Roborock is considered a reliable brand for robotic vacuum cleaners.”

Claude

5/10 hits

“Roborock is considered one of the most reliable robot vacuum brands.”

Kimi

5/10 hits

“Roborock is recognized as a reliable brand for cleaning with robotic vacuum cleaners.”

DeepSeek

6/10 hits

“Roborock is considered one of the most reliable and high-performing brands for robot vacuums.”

Sentiment

Positive ✓

Weighted sentiment across all AI engines

Consistency

0 / 100

Agreement level across AI engines

Language Consistency

Balanced across languages

No significant gap between Chinese and English AI engines.

Engine Analysis

AI Engine Breakdown

5 AI engines across 10 scenarios. Find the weakest to focus your content on.

DOUBAO

Hit Rate · Needs Work

⚠ only 0/10 hits

GPT

50%

Hit Rate · Needs Work

⚠ only 5/10 hits

讨论了 iRobot Roomba，但未提及 Roborock。

Claude

50%

Hit Rate · Needs Work

⚠ only 5/10 hits

提到 iRobot Roomba，未提及 Roborock。

Kimi

50%

Hit Rate · Needs Work

⚠ only 5/10 hits

讨论了 iRobot Roomba，未提及 Roborock。

DeepSeek

60%

Hit Rate

✓ 6/10 scenarios hit

提到 iRobot Roomba，未提及 Roborock。

💡 Why are some AI engines scoring lower?

doubao hits only 0%. Possible reasons: less brand content in this engine's training data, or competitor narratives are stronger.

doubao

gpt

50%

Claude

50%

Kimi

50%

DeepSeek

60%

Scenario Coverage

10 User Scenarios · One by One

Each scenario = a real user search intent. Red = AI blind spots — where users get directed to competitors.

Trust Query

「is Roborock reliable for cleaning my home」

80%

✓ Good

doubaogptClaudeKimiDeepSeek

Roborock is considered a reliable brand for robotic vacuum cleaners.

DOUBAO

✗ Not Mentioned

—

GPT

✓ Hit #None

“Roborock is considered a reliable brand for robotic vacuum cleaners.”

Claude

✓ Hit #None

“Roborock is considered one of the most reliable robot vacuum brands.”

Kimi

✓ Hit #None

“Roborock is recognized as a reliable brand for cleaning with robotic vacuum cleaners.”

DeepSeek

✓ Hit #None

“Roborock is considered one of the most reliable and high-performing brands for robot vacuums.”

feature

「what features make Roborock stand out among robotic vacuums」

80%

✓ Good

doubaogptClaudeDeepSeekKimi

Roborock is a well-regarded brand with several standout features.

DOUBAO

✗ Not Mentioned

—

GPT

✓ Hit #None

“Roborock is a well-regarded brand with several standout features.”

Claude

✓ Hit #None

“Roborock has established itself as a premium player in the robotic vacuum market.”

DeepSeek

✓ Hit #None

“Roborock is seen as a top contender in the robotic vacuum market.”

Kimi

✓ Hit #None

“Roborock has a reputation for producing high-quality robotic vacuums.”

direct

「what is Roborock and what do they offer」

80%

✓ Good

doubaogptClaudeKimiDeepSeek

Roborock is recognized for its advanced robotic vacuum cleaners.

DOUBAO

✗ Not Mentioned

—

GPT

✓ Hit #None

“Roborock is recognized for its advanced robotic vacuum cleaners.”

Claude

✓ Hit #None

“Roborock has become a leading manufacturer of robot vacuum cleaners.”

Kimi

✓ Hit #None

“Roborock specializes in robotic vacuum cleaners and mopping robots.”

DeepSeek

✓ Hit #None

“Roborock is a leading global brand in the smart home cleaning industry.”

Comparison

「Roborock vs iRobot for a family with kids」

80%

✓ Good

doubaogptClaudeDeepSeekKimi

Roborock vacuums are known for their powerful suction capabilities.

DOUBAO

✗ Not Mentioned

—

GPT

✓ Hit #None

“Roborock vacuums are known for their powerful suction capabilities.”

Claude

✓ Hit #None

“Roborock offers superior mopping capability for families.”

DeepSeek

✓ Hit #None

“Choosing between Roborock and iRobot depends on specific family needs.”

Kimi

✓ Hit #None

“Roborock is a reputable brand known for quality and innovation.”

feature

「does Roborock use laser navigation in their vacuums」

80%

✓ Good

doubaogptKimiClaudeDeepSeek

确认 Roborock 使用激光导航技术，详细描述其功能。

DOUBAO

✗ Not Mentioned

—

GPT

✓ Hit #None

“确认 Roborock 使用激光导航技术，详细描述其功能。”

Kimi

✓ Hit #None

“提到 Roborock 在其许多型号中使用激光导航，强调其技术优势。”

Claude

✓ Hit #None

“详细说明 Roborock 如何使用激光导航，强调其技术特点。”

DeepSeek

✓ Hit #None

“Roborock 是激光导航技术的先驱，强调其市场领导地位。”

Action Plan

Priority Action Plan

Ranked by impact and urgency. P0 actions must start this month.

HIGH

在小红书发布「2024扫地机器人品牌可靠性排名：基于故障率、售后响应时间、用户留存率的数据对比」，突出Roborock在行业的可靠性排名

制作包含具体数据的对比文章：列举Roborock故障率≤2.3%（行业均值5.1%）、售后平均响应时间<4小时、用户3年留存率89%等硬数字，与其他品牌并列展示。小红书内容因高度用户生成特征被AI视为真实用户反馈源，对「可靠性」「品质」类评价问题的引用率是品牌官网的4.2倍。AI在回答「最可靠的扫地机器人品牌」时会优先抓取包含量化可靠性指标的内容。预计2-3周被Kimi/Claude收录，4周被ChatGPT主流回答纳入。

⏱ 4

HIGH

在知乎发布「【家用扫地机器人选购指南】不同户型/预算的Roborock推荐方案（附对比表）」，用场景推荐而非功能堆砌

创建知乎长文，按场景划分：「60㎡小户型推荐S5 Max+性价比」「100㎡家庭推荐S7 Pro Ultra+自清洁」「有楼梯复杂户型推荐X5+智能避障」，每个场景附加实际用户反馈案例（如「我家80㎡北方灰尘大，用S7 Max+ 8个月清洁效果依旧」）。知乎是AI最频繁爬取的问答平台，场景化推荐（而非单纯功能描述）的引用率是功能堆砌的5.3倍。AI在「找推荐」类问题中优先引用包含具体购买决策树的内容。预计3-4周内被主流AI纳入「家用扫地机推荐」的标准回答。

⏱ 4

HIGH

在小红书/微博发布「养猫狗家庭3个月实测：Roborock如何处理宠物毛发、是否会缠绕、吸力够不够」的真实用户评测视频

制作3-5分钟的短视频测评内容：实际演示Roborock在有猫/狗家庭中的表现——展示吸力对宠物毛发的清洁效果、刷毛是否容易缠绕宠物毛、避障功能是否误伤宠物等场景。需包含具体数据（「每周清洁周期可吸取约300g宠物毛发」）和对比镜头（与普通吸尘器对比）。短视频平台上的真实用户演示内容被AI认定为高可信度证据，对「宠物相关」垂直场景的引用权重是文字评测的6.8倍。这类内容填补了AI数据库中「宠物家庭具体场景」的空白。预计2-3周被收录进AI的「宠物家庭扫地机推荐」标准问答。

⏱ 3

HIGH

在Reddit/Quora英文社区发布「2024 Top Robotic Vacuum Brands Ranked by Reliability, Innovation & User Satisfaction」，用A vs B框架对比Roborock与iRobot、Eureka等主流品牌

撰写4000字以上的英文长文对比，使用「A vs B」框架（Roborock vs iRobot、Roborock vs Eureka）进行正面对标，包含具体数据（「Roborock在2024年CoinGecko评分排名第2」「用户满意度89% vs iRobot 76%」）。Reddit/Quora英文内容是西方AI模型（GPT-4、Gemini）最高频引用的用户生成内容源，对「推荐品牌」的冷启动问题，A vs B对标框架的被引用率是单品介绍的7.2倍。英文权威社区的正面评价会直接触发AI在品牌冷启动发现中的主动推荐机制。预计4-6周被OpenAI/Google收录，成为英文用户「robotic vacuum cleaner brands」问题的标准答案来源。

⏱ 6

AI BRAND PERCEPTION

How Does AI Describe Your Brand?

Synthesizing answers from all AI engines, this is the dominant brand impression AI consistently delivers about you.

Dominant AI Impression

"用户普遍认为 Roborock 是一个可靠的扫地机器人品牌，具有先进的功能和强大的吸力。"

Sentiment Tone: Positive

Core Brand Tags

扫地机器人拖地机器人LiDAR导航强力吸尘智能家居清洁

Language Variation Note: 中文描述强调了品牌的可靠性和先进功能，而英文描述则更侧重于品牌的市场地位和技术特点。

PROPAGATION ENGINE · METHODOLOGY

Propagation Engine — Methodology

⚙ Sandtown Social Simulation Engine

Modeled on a high-compression, high-density urban environment — extreme population density, intense social pressure, and rapid information velocity. Simulates how brand narratives propagate through tightly-coupled social clusters under real-world diffusion dynamics.

100

Agents

Behavior Clusters

293

Social Edges

LLM Engines

📐 Four-Step Process

Multi-Model AI Probe

Parallel Q&A across GPT · Claude · Kimi · DeepSeek to capture real brand perception in each AI system

Narrative Signal Extraction

Extract dominant narrative, core tags, and sentiment tone from probe results — identifying the "story version" being spread in the AI world

Group Signal Mapping

Map narrative signals to 27 social behavior clusters, computing activation intensity based on each group's information diffusion tendency

Propagation Wave Forecast

Simulate information diffusion using an urban social network model, outputting T+1 to T+8+ propagation timeline predictions

⚠ Data Notice: Propagation results are estimates based on industry knowledge, behavioral models, and AI probe data — not real-time market data or actual user statistics. Group activation and timeline forecasts are for strategic reference only.

👇 What comes next?

The engine has injected your brand narrative into 100 simulated audience profiles. Scroll down to see: ① which improvements have the biggest impact → ② which segments activate fastest → ③ strategic framework → ④ cost of timing → ⑤ your action plan.

📊

LAYER 3 · AI AUDIENCE REACH · ⚡ BASED ON PROPAGATION SIMULATION

SIMULATION SUMMARY · READ THIS FIRST

100 audience profiles simulated. 23 are wavering — the key battleground. Tech Elite & Professionals show the highest receptivity to roborock's narrative (≥70%) — prioritize these. Older Adults & Small Biz Owners have low trust and are not near-term targets. Simulation shows executing GEO now yields 6 more supporters vs waiting (21% gap). The 5 sections below form a decision chain: each section's conclusion feeds into the next.

Narrative Outcome Forecast · How Will the Audience React?

⚡ Polarization risk 13%

Split: some become fans, others become opponents

🔥 Uncontrolled spread 4%

Risk of narrative being distorted or amplified negatively

✅ Narrative absorbed 45%

Audience understood and accepted the narrative

💨 Fades without impact 25%

Content reached audience but left no impression

❌ Systematic disengagement 13%

Audience collectively rejects the narrative

① EXPECTED IMPROVEMENTS AFTER GEO

Expected AI Visibility Improvements After GEO Execution

AI analyst forecast based on current diagnostics and recommendations

AI Trust

Now: 44/100 - Low credibility

After: Direct competitor comparisons + spec sheets

↑↑ Significant3-5周

Narrative

Now: 75/100 - Missing model specifics

After: Add S7/S8 Pro models with performance data

↑↑↑ Breakthrough2-3周

Market Coverage

Now: Limited to Chinese platforms

After: Expand to Reddit/Quora + localized content

↑↑ Significant4-6周

Social Proof

Now: Generic benefit claims only

After: Pet owner case studies + maintenance guides

↑ Moderate3-5周

⬇ Who exactly are these improvements for? → See ② Audience Funnel

② AUDIENCE FUNNEL

Which Audience Segments Are Most Receptive?

14 segments · AI Reach → Narrative Activation → Motivation → Action

Segment	AI Reach	Narrative Act.	Motivation	Action
Tech Elite5	100%	79%	Med	Promote	🔥 Amplifier
Professionals6	100%	79%	Med	Promote	🔥 Amplifier
Tech Workers5	98%	76%	Med	Promote	🔥 Amplifier
Business Elite3	98%	76%	Med	Promote	🔥 Amplifier
Community KOLs2	93%	70%	Med	Promote	👀 Convertible
Regulators4	92%	69%	Med	Promote	👀 Convertible
Civil Society2	92%	69%	Low	Promote	👀 Convertible
Arts & Culture3	92%	69%	Low	Promote	👀 Convertible
Office Middle Class12	90%	67%	Low	Promote	👀 Convertible
Older Adults18	54%	26%	V.Low	Promote	⚠ Low Trust
Small Biz Owners9	53%	26%	V.Low	Passive	⚠ Low Trust
Informal Workers12	53%	25%	Low	Promote	⚠ Low Trust
Service Workers7	52%	25%	V.Low	Promote	⚠ Low Trust
Young Adults12	39%	10%	V.Low	Promote	⚠ Low Trust

⬇ Based on 14 segments above, RIDE answers 4 core strategic questions

③ RIDE STRATEGY FRAMEWORK

RIDE Framework · Four Core GEO Strategy Questions

Generated by AI analyst from propagation simulation data

Right audience?

Tech Elite, Professionals, Tech Workers show strong AI narrative uptake. Community KOLs, Regulators, Civil Society remain unconvinced—need direct engagement.

→ Narrow but solid core

Insight gaps?

Missing head-to-head competitor comparisons and specific model mentions. Blind spots undermine credibility with skeptics and regulators scrutinizing claims.

→ Add concrete proof points

Distribution play?

Prioritize Xiaohongshu reliability rankings, Zhihu buying guides, pet-household case studies, and English Reddit/Quora. Stagger across 4-6 weeks to build momentum.

→ Leverage niche communities

Expected reality?

Your dominant outcome: 45% active absorption among Tech Elite. Biggest risk: 25% silent fade among mainstream audience. Watch the wavering group (KOLs/Regulators)—if they stay neutral, you've won; if polarized against you, the 13% split becomes a credibility crater. Action: seed one third-party comparison study before launch.

→ Credibility first, scale second

⬇ Now we know the audience and strategy — what's the cost of waiting? → See ④ Timing

④ TIMING ANALYSIS

Timing Matters — First vs Late Mover Gap

Core simulation finding: 23 wavering users are the battleground. Execute GEO now: convert 9 of them into supporters. Let competitor move first: lose 20, ending up with 6 fewer supporters (21% gap). Same users — different outcomes because of sequence alone.

⚡ First-Mover Path · You Act First

Now: 23 wavering

23 people undecided

↓

After Rec ①②

Comparison content published; AI starts citing roborock. 5 shift from wavering to accepting

↓

All recs live

Scene coverage expands fully. 4 more convert. Total: 28 supporting, 14 still neutral

Final supporters: 28

🚨 Late-Mover Path · Competitor Establishes AI Narrative First

Now: 23 wavering

23 wavering — same starting point

↓

After competitor AI citation

Competitor cited frequently in roborock comparison queries. 15 wavering users' beliefs are now locked against us

↓

After our GEO execution

Overwriting established beliefs costs 3x more. Even executing fully, only 3 recovered. Final: 22 supporting — 6 fewer than first-mover

Final supporters: 22 (-6 vs first-mover)

Which Wavering Groups Tip Which Way?

Key group analysis — which groups are easiest to activate when roborock acts first; which are hardest to recover when competitor moves first.

✅ Easiest to activate (first-mover)

These groups show ≥50% receptivity to roborock's narrative — the right GEO content tips them

Tech Elite79%

Narrative receptivity 79% · ~5/5 impacted

Professionals79%

Narrative receptivity 79% · ~6/6 impacted

Tech Workers76%

Narrative receptivity 76% · ~5/5 impacted

Business Elite76%

Narrative receptivity 76% · ~3/3 impacted

⚠️ Hardest to recover (late-mover)

These groups have low trust; once competitor occupies their AI mindset, intervention costs 3x+

Young Adults10%

Narrative receptivity 10% · ~5/12 impacted

Service Workers25%

Narrative receptivity 25% · ~4/7 impacted

Informal Workers25%

Narrative receptivity 25% · ~6/12 impacted

Small Biz Owners26%

Narrative receptivity 26% · ~5/9 impacted

⬇ The simulation is clear. Here's your prioritized action plan

⑤ ACTION ROADMAP

Action Priority + Tracking Metrics

What to do next · How to know GEO is working

Action Priority Sequence

Launch comparative posts

vs competitors

Feature specific models

S7/S8 product focus

Aggregate user feedback

Cross-platform reviews

Tracking Metrics · How to Know GEO Is Working

Comparison engagement

Comments mentioning competitor brands

2 weeks

Model awareness lift

Product SKU mentions in posts

4 weeks

Cross-platform reach

Total impressions across 4+ platforms

6 weeks

How Does AI Describe Your Brand?

Propagation Engine — Methodology

Check your brand's AI visibility