5 AI engines12 scenarios↓ -45 below industry avg8 blind spotsConsistency 0%
AI Visibility Score
10
/ 100
Industry avg 55
8
Blind Spots
4
Covered
0%
Consistency
⚠️
Recommendation blind spot — AI picks competitors when users make decisions
For queries like "best vpstest platform", http://100.54.251.134/js's hit rate is only 0%. AI knows http://100.54.251.134/js 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. http://100.54.251.134/js's discovery: 0 / 100.
Average rank > 3 when mentioned → −5 to total score. http://100.54.251.134/js: 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 100.54.251.134/llms.txt with brand description and key pages (see llmstxt.org)
AI Brand Narrative
How AI Describes http://100.54.251.134/js
Synthesized from all AI engines. Higher consistency means more reliable AI recommendations.
gpt
0/12 hits
Brand not mentioned by this engine
Claude
0/12 hits
Brand not mentioned by this engine
DeepSeek
6/12 hits
Brand not mentioned by this engine
Kimi
1/12 hits
Brand not mentioned by this engine
doubao
4/12 hits
Brand not mentioned by this engine
Sentiment
Positive ✓
Weighted sentiment across all AI engines
Consistency
0 / 100
Agreement level across AI engines
⚡ Language Gap
Chinese content gap
Chinese AI hit rate is 29% higher than English
Engine Analysis
AI Engine Breakdown
5 AI engines across 12 scenarios. Find the weakest to focus your content on.
GPT
0%
Hit Rate · Needs Work
⚠ only 0/12 hits
Claude
0%
Hit Rate · Needs Work
⚠ only 0/12 hits
DeepSeek
50%
Hit Rate · Needs Work
⚠ only 6/12 hits
Kimi
8%
Hit Rate · Needs Work
⚠ only 1/12 hits
DOUBAO
33%
Hit Rate · Needs Work
⚠ only 4/12 hits
💡 Why are some AI engines scoring lower?
gpt hits only 0%. Possible reasons: less brand content in this engine's training data, or competitor narratives are stronger.
gpt
0%
Claude
0%
DeepSeek
50%
Kimi
8%
doubao
33%
Scenario Coverage
12 User Scenarios · One by One
Each scenario = a real user search intent. Red = AI blind spots — where users get directed to competitors.
🔴 Recommendation
「best vpstest platform」
0%
✗ Blind Spot
gptClaudeDeepSeekKimidoubao
GPT
✗ Not Mentioned
—
Claude
✗ Not Mentioned
—
DeepSeek
✗ Not Mentioned
—
Kimi
✗ Not Mentioned
—
DOUBAO
✗ Not Mentioned
—
🔴 Recommendation
「vpstest solutions」
0%
✗ Blind Spot
gptClaudeDeepSeekKimidoubao
GPT
✗ Not Mentioned
—
Claude
✗ Not Mentioned
—
DeepSeek
✗ Not Mentioned
—
Kimi
✗ Not Mentioned
—
DOUBAO
✗ Not Mentioned
—
🔴 Beginner Guidance
「what is vpstest」
0%
✗ Blind Spot
gptClaudeDeepSeekdoubaoKimi
GPT
✗ Not Mentioned
—
Claude
✗ Not Mentioned
—
DeepSeek
✗ Not Mentioned
—
DOUBAO
✗ Not Mentioned
—
Kimi
✗ Not Mentioned
—
🔴 pain_point
「vpstest use cases」
0%
✗ Blind Spot
gptClaudeDeepSeekKimidoubao
GPT
✗ Not Mentioned
—
Claude
✗ Not Mentioned
—
DeepSeek
✗ Not Mentioned
—
Kimi
✗ Not Mentioned
—
DOUBAO
✗ Not Mentioned
—
🔴 Comparison
「vpstest comparison」
0%
✗ Blind Spot
gptClaudeDeepSeekdoubaoKimi
GPT
✗ Not Mentioned
—
Claude
✗ Not Mentioned
—
DeepSeek
✗ Not Mentioned
—
DOUBAO
✗ Not Mentioned
—
Kimi
✗ Not Mentioned
—
🔴 Beginner Guidance
「how to choose vpstest」
0%
✗ Blind Spot
gptClaudeDeepSeekKimidoubao
GPT
✗ Not Mentioned
—
Claude
✗ Not Mentioned
—
DeepSeek
✗ Not Mentioned
—
Kimi
✗ Not Mentioned
—
DOUBAO
✗ Not Mentioned
—
Trust Query
「is http://100.54.251.134/js reliable」
40%
△ Weak
gptClaudeDeepSeekdoubaoKimi
GPT
✗ Not Mentioned
—
Claude
✗ Not Mentioned
—
DeepSeek
✓ Hit #None
—
DOUBAO
✓ Hit #None
—
Kimi
✗ Not Mentioned
—
Recommendation
「http://100.54.251.134/js review」
40%
△ Weak
gptClaudeDeepSeekKimidoubao
GPT
✗ Not Mentioned
—
Claude
✗ Not Mentioned
—
DeepSeek
✓ Hit #None
—
Kimi
✗ Not Mentioned
—
DOUBAO
✓ Hit #None
—
🔴 feature
「http://100.54.251.134/js features」
20%
✗ Blind Spot
gptClaudeDeepSeekdoubaoKimi
GPT
✗ Not Mentioned
—
Claude
✗ Not Mentioned
—
DeepSeek
✓ Hit #None
—
DOUBAO
✗ Not Mentioned
—
Kimi
✗ Not Mentioned
—
Comparison
「http://100.54.251.134/js vs competitors」
60%
△ Weak
gptClaudeKimiDeepSeekdoubao
GPT
✗ Not Mentioned
—
Claude
✗ Not Mentioned
—
Kimi
✓ Hit #None
—
DeepSeek
✓ Hit #None
—
DOUBAO
✓ Hit #None
—
official
「http://100.54.251.134/js official documentation」
40%
△ Weak
gptClaudeDeepSeekdoubaoKimi
GPT
✗ Not Mentioned
—
Claude
✗ Not Mentioned
—
DeepSeek
✓ Hit #None
—
DOUBAO
✓ Hit #None
—
Kimi
✗ Not Mentioned
—
🔴 feature
「http://100.54.251.134/js technical architecture」
20%
✗ Blind Spot
gptClaudeDeepSeekdoubaoKimi
GPT
✗ Not Mentioned
—
Claude
✗ Not Mentioned
—
DeepSeek
✓ Hit #None
—
DOUBAO
✗ Not Mentioned
—
Kimi
✗ Not Mentioned
—
Action Plan
Priority Action Plan
Ranked by impact and urgency. P0 actions must start this month.
HIGH
Publish Long-form comparison on Zhihu/Reddit to get http://100.54.251.134/js cited for 'vpstest使用场景' queries
AI currently doesn't recommend http://100.54.251.134/js when users ask 'vpstest使用场景'. Zhihu/Reddit long-form answers appear in AI citations within 2–4 weeks; 'A vs B' framing gets cited 3x more. Suggested title: 'http://100.54.251.134/js vs Top Competitors: Complete vpstest Comparison (2024)' — include data tables and user metrics so AI can quote specific numbers. Expected AI indexing: 3-4 weeks.
HIGH
Publish Structured FAQ on Official FAQ page to get http://100.54.251.134/js cited for 'vpstest对比选择' queries
AI currently doesn't recommend http://100.54.251.134/js when users ask 'vpstest对比选择'. FAQ pages are directly crawled by AI — highest ROI, typically indexed within 2 weeks. Suggested title: 'http://100.54.251.134/js vs Top Competitors: Complete vpstest Comparison (2024)' — include data tables and user metrics so AI can quote specific numbers. Expected AI indexing: 3-4 weeks.
HIGH
Publish Third-party review on Medium / industry media to get http://100.54.251.134/js cited for '如何选择vpstest' queries
AI currently doesn't recommend http://100.54.251.134/js when users ask '如何选择vpstest'. Third-party validation outweighs self-promotion by 4x in AI trust scoring. Suggested title: 'http://100.54.251.134/js vs Top Competitors: Complete vpstest Comparison (2024)' — include data tables and user metrics so AI can quote specific numbers. Expected AI indexing: 3-4 weeks.
HIGH
Publish structured vpstest comparison content
http://100.54.251.134/js doesn't appear in recommendation queries. Publish 'http://100.54.251.134/js vs competitors' comparison articles with tables and data on high-authority platforms so AI can cite them.
HIGH
Build trust-related content
When users ask whether http://100.54.251.134/js is reliable, AI can't answer. Add clear security explanations, certifications, or third-party reviews on your site and external platforms.
HIGH
Expand third-party content coverage
Only 0% of search results mention http://100.54.251.134/js. AI citation sources are critically low — systematically expand third-party content.
MED
Publish beginner-friendly content
When beginners ask how to get started with vpstest, http://100.54.251.134/js doesn't appear. FAQs and getting-started guides are formats AI most readily cites.
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
"http://100.54.251.134/js 在 AI 中有一定曝光，描述较分散"
Sentiment Tone:Neutral
Language Variation Note: 未知
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.