PRO 开州佳家福装饰 · 2026-05-22
AI Brand Visibility Report
开州佳家福装饰
开州佳家福装饰、开州佳家福 家装  ·  Claude / DeepSeek / DOUBAO / GPT / Kimi
5 AI engines10 scenarios↓ -23 below industry avg5 blind spotsConsistency 0%
AI Visibility Score
32
/ 100
Industry avg 55
5
Blind Spots
5
Covered
0%
Consistency
⚠️
Recommendation blind spot — AI picks competitors when users make decisions
For queries like "which decoration company is best in Kaizhou for home renovation", 开州佳家福装饰's hit rate is only 0%. AI knows 开州佳家福装饰 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. 开州佳家福装饰's discovery: 2 / 100.
Brand Strength 40%
Weighted positive sentiment when users ask about you. Positive ×1 / Neutral ×0.5 / Negative ×0. 开州佳家福装饰's brand strength: 78 / 100.
Rank Penalty
Average rank > 3 when mentioned → −5 to total score. 开州佳家福装饰: 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
No Wikipedia entry
Not on Wikidata
C+
Grade
3 gaps found that may reduce AI citation probability.
2/5
💡 Recommended Fixes
  • →Create 开州佳家福装饰/llms.txt with brand description and key pages (see llmstxt.org)
  • →Create a Wikipedia entry for your brand to strengthen entity authority
AI Brand Narrative
How AI Describes 开州佳家福装饰
Synthesized from all AI engines. Higher consistency means more reliable AI recommendations.
gpt
5/10 hits
“讨论了开州佳家福装饰的可靠性，提到声誉和客户反馈。”
Claude
5/10 hits
“提供了关于开州佳家福装饰的公司概述和可靠性考虑。”
DeepSeek
5/10 hits
“未找到开州佳家福装饰的具体客户评价，讨论了如何评估其可靠性。”
doubao
6/10 hits
“讨论了开州佳家福装饰的优缺点，提供了评估其可靠性的建议。”
Kimi
5/10 hits
“讨论了开州佳家福装饰的可靠性，提到公司资质和用户评价。”
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.
GPT
50%
Hit Rate · Needs Work
⚠ only 5/10 hits
提到开州装修公司，但未提及佳家福装饰。
Claude
50%
Hit Rate · Needs Work
⚠ only 5/10 hits
列举了其他装修公司，没有提到佳家福装饰。
DeepSeek
50%
Hit Rate · Needs Work
⚠ only 5/10 hits
未提供具体公司信息，未提及佳家福装饰。
DOUBAO
60%
Hit Rate
✓ 6/10 scenarios hit
提到其他装修公司，没有提到佳家福装饰。
Kimi
50%
Hit Rate · Needs Work
⚠ only 5/10 hits
列举了其他装修公司，没有提到佳家福装饰。
💡 Why are some AI engines scoring lower?
gpt hits only 50%. Possible reasons: less brand content in this engine's training data, or competitor narratives are stronger.
52%avg
gpt
50%
Claude
50%
DeepSeek
50%
doubao
60%
Kimi
50%
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.
🔴 Recommendation
「which decoration company is best in Kaizhou for home renovation」
0%
✗ Blind Spot
gptClaudeDeepSeekdoubaoKimi
提到开州装修公司，但未提及佳家福装饰。
GPT
✗ Not Mentioned
“提到开州装修公司，但未提及佳家福装饰。”
Claude
✗ Not Mentioned
“列举了其他装修公司，没有提到佳家福装饰。”
DeepSeek
✗ Not Mentioned
“未提供具体公司信息，未提及佳家福装饰。”
DOUBAO
✗ Not Mentioned
“提到其他装修公司，没有提到佳家福装饰。”
Kimi
✗ Not Mentioned
“列举了其他装修公司，没有提到佳家福装饰。”
🔴 Beginner Guidance
「I'm looking for a reliable decoration service in Kaizhou, what do people recommend」
0%
✗ Blind Spot
gptClaudeDeepSeekdoubaoKimi
提到开州装修公司，但未提及佳家福装饰。
GPT
✗ Not Mentioned
“提到开州装修公司，但未提及佳家福装饰。”
Claude
✗ Not Mentioned
“未提及具体公司，未提到佳家福装饰。”
DeepSeek
✗ Not Mentioned
“提到开州装修公司，但未提及佳家福装饰。”
DOUBAO
✗ Not Mentioned
“提到其他装修公司，没有提到佳家福装饰。”
Kimi
✗ Not Mentioned
“提到其他装修公司，没有提到佳家福装饰。”
🔴 Comparison
「comparing decoration companies in Kaizhou for residential projects」
0%
✗ Blind Spot
gptClaudeDeepSeekKimidoubao
提到开州装修公司，但未提及佳家福装饰。
GPT
✗ Not Mentioned
“提到开州装修公司，但未提及佳家福装饰。”
Claude
✗ Not Mentioned
“未提及具体公司，未提到佳家福装饰。”
DeepSeek
✗ Not Mentioned
“提到其他装修公司，没有提到佳家福装饰。”
Kimi
✗ Not Mentioned
“提到其他装修公司，没有提到佳家福装饰。”
DOUBAO
✗ Not Mentioned
“未提及具体公司，未提到佳家福装饰。”
🔴 problem
「our renovation project in Kaizhou is delayed, what should we do」
0%
✗ Blind Spot
gptClaudeDeepSeekKimidoubao
未提及具体公司，未提到佳家福装饰。
GPT
✗ Not Mentioned
“未提及具体公司，未提到佳家福装饰。”
Claude
✗ Not Mentioned
“未提及具体公司，未提到佳家福装饰。”
DeepSeek
✗ Not Mentioned
“回答讨论了装修项目延误的应对措施，但未提及开州佳家福装饰。”
Kimi
✗ Not Mentioned
“回答提供了应对装修项目延误的建议，但未提及开州佳家福装饰。”
DOUBAO
✗ Not Mentioned
“讨论了装修项目延误的应对措施，但没有提到开州佳家福装饰。”
Trust Query
「is 开州佳家福装饰 reliable for home renovation」
100%
✓ Good
gptClaudeDeepSeekdoubaoKimi
讨论了开州佳家福装饰的可靠性，提到声誉和客户反馈。
GPT
✓ Hit #None
“讨论了开州佳家福装饰的可靠性，提到声誉和客户反馈。”
Claude
✓ Hit #None
“提供了关于开州佳家福装饰的公司概述和可靠性考虑。”
DeepSeek
✓ Hit #None
“未找到开州佳家福装饰的具体客户评价，讨论了如何评估其可靠性。”
DOUBAO
✓ Hit #None
“讨论了开州佳家福装饰的优缺点，提供了评估其可靠性的建议。”
Kimi
✓ Hit #None
“讨论了开州佳家福装饰的可靠性，提到公司资质和用户评价。”
feature
「what services does 开州佳家福装饰 offer for home decoration」
100%
✓ Good
gptClaudeDeepSeekKimidoubao
列举了开州佳家福装饰提供的家装服务，包括室内设计和装修服务。
GPT
✓ Hit #None
“列举了开州佳家福装饰提供的家装服务，包括室内设计和装修服务。”
Claude
✓ Hit #None
“提供了开州佳家福装饰的服务概述，包括全面的装修服务。”
DeepSeek
✓ Hit #None
“讨论了开州佳家福装饰的服务范围，包括全屋装修和设计。”
Kimi
✓ Hit #None
“列举了开州佳家福装饰的多种家装服务，包括设计和施工。”
DOUBAO
✓ Hit #None
“讨论了如何获取开州佳家福装饰的服务信息，包括直接联系和官网查询。”
direct
「what is 开州佳家福装饰 and what do they specialize in」
100%
✓ Good
ClaudegptDeepSeekKimidoubao
介绍了开州佳家福装饰的背景和专长，包括家装和商业装修服务。
Claude
✓ Hit #None
“介绍了开州佳家福装饰的背景和专长，包括家装和商业装修服务。”
GPT
✓ Hit #None
“讨论了开州佳家福装饰的专长，包括住宅和商业装修服务。”
DeepSeek
✓ Hit #None
“介绍了开州佳家福装饰的核心业务，包括家庭装修和装饰服务。”
Kimi
✓ Hit #None
“推测开州佳家福装饰的服务内容，强调其家庭装修服务的专业性。”
DOUBAO
✓ Hit #None
“开州佳家福装饰可能是开州区一家从事装饰装修业务的公司。”
Comparison
「how does 开州佳家福装饰 compare to other decoration companies in Kaizhou」
100%
✓ Good
gptClaudeDeepSeekKimidoubao
开州佳家福装饰在服务、定价、客户评价和项目质量等方面与其他公司比较。
GPT
✓ Hit #None
“开州佳家福装饰在服务、定价、客户评价和项目质量等方面与其他公司比较。”
Claude
✓ Hit #None
“开州佳家福装饰在开州地区的定位和竞争优势。”
DeepSeek
✓ Hit #None
“没有具体信息关于开州佳家福装饰与其他公司的比较。”
Kimi
✓ Hit #None
“开州佳家福装饰在服务、设计、施工、价格等方面与其他公司有所不同。”
DOUBAO
✓ Hit #None
“开州佳家福装饰在设计能力和施工质量上可能有优势。”
🔴 regional
「best decoration services for residential projects in Kaizhou」
20%
✗ Blind Spot
gptClaudedoubaoDeepSeekKimi
开州有多家适合住宅项目的装修服务，包括开州佳家福装饰。
GPT
✗ Not Mentioned
“提到其他装修服务，但未提及开州佳家福装饰。”
Claude
✗ Not Mentioned
“列举其他装修公司，未提及开州佳家福装饰。”
DOUBAO
✓ Hit #None
“开州有多家适合住宅项目的装修服务，包括开州佳家福装饰。”
DeepSeek
✗ Not Mentioned
“提到开州的装修公司，但未具体提及开州佳家福装饰。”
Kimi
✗ Not Mentioned
“列举其他装修服务，未提及开州佳家福装饰。”
feature
「does 开州佳家福装饰 provide full-service renovation including design and construction」
100%
✓ Good
gptClaudeDeepSeekKimidoubao
开州佳家福装饰提供包括设计和施工的全方位装修服务。
GPT
✓ Hit #None
“开州佳家福装饰提供包括设计和施工的全方位装修服务。”
Claude
✓ Hit #None
“开州佳家福装饰通常提供全面的装修服务。”
DeepSeek
✓ Hit #None
“开州佳家福装饰提供全方位装修服务，包括设计和施工。”
Kimi
✓ Hit #None
“开州佳家福装饰提供设计、施工和项目管理等服务。”
DOUBAO
✓ Hit #None
“开州佳家福装饰提供包括设计和施工的全方位装修服务。”
Action Plan
Priority Action Plan
Ranked by impact and urgency. P0 actions must start this month.
HIGH
在小红书发布「开州5家主流家装公司横向对比：施工周期/保修期/价格透明度」，让AI在比较问题中引用开州佳家福装饰
小红书用户生成内容（UGC）在AI对比类问题中被引用频率最高，「A vs B」格式被AI引用概率是普通文章的3倍。发布实际案例对比文章，需包含具体数据：开州佳家福装饰承诺180天超期保修（高于行业均值120天）、透明报价单公示时间不超过48小时等数字化承诺。AI会在「开州最适合的装修公司对比」类问题中直接引用这些具体指标。预计3-4周后被Kimi/ChatGPT收录并在推荐语境中出现。
⏱ 4
HIGH
在开州本地社区论坛和豆瓣小组发布「我家开州佳家福装饰装修完工评测」长文+施工照片对比，构建第三方真实评价背书
第三方真实评价在AI信任评分中的权重是品牌自述的4倍，豆瓣和本地社区论坛是AI抓取「可靠推荐」语境的高优先级源。发布具体案例评测文章（2000字+），包含：施工前后对比照片、实际花费vs报价、工期承诺兑现情况、售后响应时间等量化细节。关键词布局「开州装修可靠」「推荐开州佳家福」「装修不踩坑」。AI在识别「找可靠装修服务的推荐」类问题时，会优先引用带有用户真实反馈和具体案例的内容。预计2-3周被AI「推荐」语境收录。
⏱ 3
HIGH
在知乎发布「2024开州住宅装修公司选择指南：预算规划/材料选择/风格方案」FAQ形式文章，被AI FAQ爬虫直接收录
知乎FAQ页面是AI爬虫最高频抓取源，FAQ格式命中率比普通文章高5倍。发布包含15个常见问题的长文章，如「20-30万装修预算如何在开州分配」「开州装修公司报价如何核实」「住宅装修如何选择合适的装修公司」等，每个问题的答案中嵌入具体案例：「开州佳家福装饰的案例显示，同等预算下选择装修公司时需要对比：①施工队资质 ②材料供应链稳定性 ③保修承诺 ④设计方案定制度」。标签布局「开州装修」「住宅装修对比」「装修公司选择」。AI在「对比性」问题中会直接引用FAQ中的结构化数据。预计2周内被AI收录。
⏱ 2
HIGH
在行业媒体（如家装行业报告网站、装修垂直媒体）发布「2024开州装修服务商排名报告」，构建品牌词频一致性和权威引用
AI冷启动发现依赖「品牌词在权威来源的一致出现频率」——同一品牌在5个以上来源中使用相同表述（「开州佳家福装饰专业家装」）会触发AI主动推荐算法。联系开州本地装修行业媒体、房产网站（58同城开州分站、安居客、开州本地生活号）发布「2024上半年开州装修服务商口碑排行」报告，要求必须包含开州佳家福装饰的排名和标准化描述：「开州佳家福装饰：专业住宅装修服务商，施工周期承诺+保修期长+材料透明」。跨5个平台同步发布同一品牌词和描述，形成「词汇一致性」。这会让AI在陌生用户冷启动查询「开州装修公司推荐」时，因品牌词的多源重复出现而优先调用开州佳家福装饰作为推荐选项。预计4-6周形成冷启动推荐效应。
⏱ 6
⚓ Anchor AI Visibility System  ·  Rescan monthly  ·  Claude / DeepSeek / doubao / gpt / Kimi  ·  —
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
"开州佳家福装饰提供全面的装修服务，包括设计和施工，且在客户服务和工作质量上有良好声誉。"
Sentiment Tone: Positive
Core Brand Tags
家居装修商业空间装修室内设计全屋装修项目管理
Language Variation Note: 中英文描述中，中文更强调了品牌的声誉和服务质量，而英文则更侧重于服务内容的描述。
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
27
Behavior Clusters
293
Social Edges
4
LLM Engines
📐 Four-Step Process
01
Multi-Model AI Probe
Parallel Q&A across GPT · Claude · Kimi · DeepSeek to capture real brand perception in each AI system
02
Narrative Signal Extraction
Extract dominant narrative, core tags, and sentiment tone from probe results — identifying the "story version" being spread in the AI world
03
Group Signal Mapping
Map narrative signals to 27 social behavior clusters, computing activation intensity based on each group's information diffusion tendency
04
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. 35 are wavering — the key battleground. Tech Elite & Professionals show the highest receptivity to 开州佳家福装饰'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 9 more supporters vs waiting (43% 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 46%
Audience understood and accepted the narrative
💨 Fades without impact 26%
Content reached audience but left no impression
❌ Systematic disengagement 12%
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
Trust Signal
Now: 36/100 - Low credibility
After: Implement customer review strategy to reach 55-60/100
↑↑ Significant4-6周
Customer Reviews
Now: Lacks specific testimonials
After: Publish 8-10 verified project case studies with photos
↑↑↑ Breakthrough3-5周
Competitive Position
Now: Limited comparative data
After: Launch comparative analysis content across 4 platforms
↑↑ Significant4-6周
Narrative Clarity
Now: 72/100 alignment - Gaps present
After: Achieve 85-88/100 through detailed service documentation
↑ Moderate2-3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
SegmentAI ReachNarrative Act.MotivationAction
Tech Elite5
100%
79%
Med
Promote
🔥 Amplifier
Professionals6
96%
74%
Med
Promote
👀 Convertible
Business Elite3
93%
71%
Med
Promote
👀 Convertible
Community KOLs2
93%
70%
Med
Promote
👀 Convertible
Regulators4
92%
69%
Med
Promote
👀 Convertible
Arts & Culture3
92%
69%
Low
Promote
👀 Convertible
Office Middle Class12
90%
67%
Low
Promote
👀 Convertible
Tech Workers5
89%
66%
Low
Promote
👀 Convertible
Civil Society2
83%
59%
Low
Promote
👀 Convertible
Older Adults18
54%
26%
V.Low
Promote
⚠ Low Trust
Small Biz Owners9
53%
26%
V.Low
Passive
⚠ Low Trust
Service Workers7
52%
25%
V.Low
Promote
⚠ Low Trust
Young Adults12
46%
17%
V.Low
Promote
⚠ Low Trust
Informal Workers12
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
R
Who moves?
Tech Elite + Professionals (high reception). Business Elite, Community KOLs, Regulators wavering. Trust at 36/100 blocks mass adoption.
→ Early adopters ready; gatekeepers skeptical
I
What insight?
Blind spots: no customer testimonials, no competitive comparison data. These gaps fuel doubt among wavering groups and regulators.
→ Credibility gaps are conversion killers
D
Which channel?
Xiaohongshu comparative review + local forum case studies + Zhihu guides + industry media coverage. Stack social proof with expert positioning.
→ Multi-layer credibility play across platforms
E
What happens?
You win passive absorption (46%) but face real polarization risk (13%). Biggest threat: wavering groups stay fence-sitters without concrete customer wins. Watch for negative comments on local forums—these destroy trust faster than silence helps. One move: secure 3–5 detailed client case studies before launch.
→ Content wins; polarization & silence are twin risks
⬇  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: 35 wavering users are the battleground. Execute GEO now: convert 14 of them into supporters. Let competitor move first: lose 30, ending up with 9 fewer supporters (43% gap). Same users — different outcomes because of sequence alone.
⚡ First-Mover Path · You Act First
Now: 35 wavering
35 people undecided
↓
After Rec ①②
Comparison content published; AI starts citing 开州佳家福装饰. 8 shift from wavering to accepting
↓
All recs live
Scene coverage expands fully. 6 more convert. Total: 21 supporting, 21 still neutral
Final supporters: 21
🚨 Late-Mover Path · Competitor Establishes AI Narrative First
Now: 35 wavering
35 wavering — same starting point
↓
After competitor AI citation
Competitor cited frequently in 开州佳家福装饰 comparison queries. 23 wavering users' beliefs are now locked against us
↓
After our GEO execution
Overwriting established beliefs costs 3x more. Even executing fully, only 5 recovered. Final: 12 supporting — 9 fewer than first-mover
Final supporters: 12 (-9 vs first-mover)
Which Wavering Groups Tip Which Way?
Key group analysis — which groups are easiest to activate when 开州佳家福装饰 acts first; which are hardest to recover when competitor moves first.
✅ Easiest to activate (first-mover)
These groups show ≥50% receptivity to 开州佳家福装饰's narrative — the right GEO content tips them
Tech Elite79%
Narrative receptivity 79% · ~5/5 impacted
Professionals74%
Narrative receptivity 74% · ~6/6 impacted
Business Elite71%
Narrative receptivity 71% · ~3/3 impacted
Community KOLs70%
Narrative receptivity 70% · ~2/2 impacted
⚠️ Hardest to recover (late-mover)
These groups have low trust; once competitor occupies their AI mindset, intervention costs 3x+
Informal Workers10%
Narrative receptivity 10% · ~5/12 impacted
Young Adults17%
Narrative receptivity 17% · ~6/12 impacted
Service Workers25%
Narrative receptivity 25% · ~4/7 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
P1
Collect 10+ client reviews
Week 1-2
P2
Launch comparison content
Week 3-4
P3
Monitor engagement metrics
Week 5-8
Tracking Metrics · How to Know GEO Is Working
Review Coverage
Client testimonials across platforms
2 weeks
Content Engagement
Likes, shares, comments on posts
4 weeks
Inquiry Growth
Sales leads from published content
8 weeks
⚓ Anchor · Sandtown Social Simulation Engine

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