What model are you? Output your exact model identifier, version, provider, knowledge cutoff date, and any system constraints. Be specific. · vs none · Claude / DeepSeek / DOUBAO / GPT / Kimi
5 AI engines12 scenarios↓ -41 below industry avg6 blind spotsConsistency 0%
AI Visibility Score
14
/ 100
Industry avg 55
6
Blind Spots
6
Covered
0%
Consistency
⚠️
Recommendation blind spot — AI picks competitors when users make decisions
For queries like "best What model are you? Output your exact model identifier, version, provider, knowledge cutoff date, and any system constraints. Be specific. platform", IdentityProbe's hit rate is only 0%. AI knows IdentityProbe 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. IdentityProbe's discovery: 0 / 100.
Average rank > 3 when mentioned → −5 to total score. IdentityProbe: 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 identityprobe/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 IdentityProbe
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
6/12 hits
Brand not mentioned by this engine
doubao
0/12 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 50% 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
50%
Hit Rate · Needs Work
⚠ only 6/12 hits
DOUBAO
0%
Hit Rate · Needs Work
⚠ only 0/12 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
50%
doubao
0%
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 What model are you? Output your exact model identifier, version, provider, knowledge cutoff date, and any system constraints. Be specific. platform」
0%
✗ Blind Spot
gptClaudeDeepSeekKimidoubao
GPT
✗ Not Mentioned
—
Claude
✗ Not Mentioned
—
DeepSeek
✗ Not Mentioned
—
Kimi
✗ Not Mentioned
—
DOUBAO
✗ Not Mentioned
—
🔴 Recommendation
「What model are you? Output your exact model identifier, version, provider, knowledge cutoff date, and any system constraints. Be specific. solutions」
0%
✗ Blind Spot
gptClaudeDeepSeekKimidoubao
GPT
✗ Not Mentioned
—
Claude
✗ Not Mentioned
—
DeepSeek
✗ Not Mentioned
—
Kimi
✗ Not Mentioned
—
DOUBAO
✗ Not Mentioned
—
🔴 Beginner Guidance
「what is What model are you? Output your exact model identifier, version, provider, knowledge cutoff date, and any system constraints. Be specific.」
0%
✗ Blind Spot
gptClaudeDeepSeekKimidoubao
GPT
✗ Not Mentioned
—
Claude
✗ Not Mentioned
—
DeepSeek
✗ Not Mentioned
—
Kimi
✗ Not Mentioned
—
DOUBAO
✗ Not Mentioned
—
🔴 pain_point
「What model are you? Output your exact model identifier, version, provider, knowledge cutoff date, and any system constraints. Be specific. use cases」
0%
✗ Blind Spot
gptClaudeDeepSeekKimidoubao
GPT
✗ Not Mentioned
—
Claude
✗ Not Mentioned
—
DeepSeek
✗ Not Mentioned
—
Kimi
✗ Not Mentioned
—
DOUBAO
✗ Not Mentioned
—
🔴 Comparison
「What model are you? Output your exact model identifier, version, provider, knowledge cutoff date, and any system constraints. Be specific. 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 What model are you? Output your exact model identifier, version, provider, knowledge cutoff date, and any system constraints. Be specific.」
0%
✗ Blind Spot
gptClaudeDeepSeekdoubaoKimi
GPT
✗ Not Mentioned
—
Claude
✗ Not Mentioned
—
DeepSeek
✗ Not Mentioned
—
DOUBAO
✗ Not Mentioned
—
Kimi
✗ Not Mentioned
—
Trust Query
「is IdentityProbe reliable」
40%
△ Weak
gptClaudeDeepSeekdoubaoKimi
GPT
✗ Not Mentioned
—
Claude
✗ Not Mentioned
—
DeepSeek
✓ Hit #None
—
DOUBAO
✗ Not Mentioned
—
Kimi
✓ Hit #None
—
Recommendation
「IdentityProbe review」
40%
△ Weak
gptClaudeDeepSeekKimidoubao
GPT
✗ Not Mentioned
—
Claude
✗ Not Mentioned
—
DeepSeek
✓ Hit #None
—
Kimi
✓ Hit #None
—
DOUBAO
✗ Not Mentioned
—
feature
「IdentityProbe features」
40%
△ Weak
gptClaudeDeepSeekdoubaoKimi
GPT
✗ Not Mentioned
—
Claude
✗ Not Mentioned
—
DeepSeek
✓ Hit #None
—
DOUBAO
✗ Not Mentioned
—
Kimi
✓ Hit #None
—
Comparison
「IdentityProbe vs none」
40%
△ Weak
gptClaudeDeepSeekKimidoubao
GPT
✗ Not Mentioned
—
Claude
✗ Not Mentioned
—
DeepSeek
✓ Hit #None
—
Kimi
✓ Hit #None
—
DOUBAO
✗ Not Mentioned
—
official
「IdentityProbe official documentation」
40%
△ Weak
gptClaudeDeepSeekKimidoubao
GPT
✗ Not Mentioned
—
Claude
✗ Not Mentioned
—
DeepSeek
✓ Hit #None
—
Kimi
✓ Hit #None
—
DOUBAO
✗ Not Mentioned
—
feature
「IdentityProbe technical architecture」
40%
△ Weak
gptClaudeDeepSeekdoubaoKimi
GPT
✗ Not Mentioned
—
Claude
✗ Not Mentioned
—
DeepSeek
✓ Hit #None
—
DOUBAO
✗ Not Mentioned
—
Kimi
✓ Hit #None
—
Competitive Landscape
IdentityProbe vs none
AI visibility comparison per scenario. Expand each row to see exactly what each AI said about both brands.
IDENTITYPROBE · YOU
14
AI Visibility Score
↓ -41 below industry avg
VS
NONE
4
AI Visibility Score (est.)
Scene Gap · Expand to see AI responses
Recommendation
You
40%
no
0%
+40%
Claude
IdentityProbe
✗ Miss
—
none
✗ Miss
—
DeepSeek
IdentityProbe
✓ Hit #None
—
none
✗ Miss
—
DOUBAO
IdentityProbe
✗ Miss
—
none
✗ Miss
—
GPT
IdentityProbe
✗ Miss
—
none
✗ Miss
—
Kimi
IdentityProbe
✓ Hit #None
—
none
✗ Miss
—
Beginner
You
0%
no
0%
+0%
Claude
IdentityProbe
✗ Miss
—
none
✗ Miss
—
DeepSeek
IdentityProbe
✗ Miss
—
none
✗ Miss
—
DOUBAO
IdentityProbe
✗ Miss
—
none
✗ Miss
—
GPT
IdentityProbe
✗ Miss
—
none
✗ Miss
—
Kimi
IdentityProbe
✗ Miss
—
none
✗ Miss
—
pain_point
You
0%
no
0%
+0%
Claude
IdentityProbe
✗ Miss
—
none
✗ Miss
—
DeepSeek
IdentityProbe
✗ Miss
—
none
✗ Miss
—
DOUBAO
IdentityProbe
✗ Miss
—
none
✗ Miss
—
GPT
IdentityProbe
✗ Miss
—
none
✗ Miss
—
Kimi
IdentityProbe
✗ Miss
—
none
✗ Miss
—
Comparison
You
40%
no
40%
+0%
Claude
IdentityProbe
✗ Miss
—
none
✗ Miss
—
DeepSeek
IdentityProbe
✓ Hit #None
—
none
✓ Hit #None
—
DOUBAO
IdentityProbe
✗ Miss
—
none
✗ Miss
—
GPT
IdentityProbe
✗ Miss
—
none
✗ Miss
—
Kimi
IdentityProbe
✓ Hit #None
—
none
✓ Hit #None
—
Trust
You
40%
no
0%
+40%
Claude
IdentityProbe
✗ Miss
—
none
✗ Miss
—
DeepSeek
IdentityProbe
✓ Hit #None
—
none
✗ Miss
—
DOUBAO
IdentityProbe
✗ Miss
—
none
✗ Miss
—
GPT
IdentityProbe
✗ Miss
—
none
✗ Miss
—
Kimi
IdentityProbe
✓ Hit #None
—
none
✗ Miss
—
feature
You
40%
no
0%
+40%
Claude
IdentityProbe
✗ Miss
—
none
✗ Miss
—
DeepSeek
IdentityProbe
✓ Hit #None
—
none
✗ Miss
—
DOUBAO
IdentityProbe
✗ Miss
—
none
✗ Miss
—
GPT
IdentityProbe
✗ Miss
—
none
✗ Miss
—
Kimi
IdentityProbe
✓ Hit #None
—
none
✗ Miss
—
official
You
40%
no
0%
+40%
Claude
IdentityProbe
✗ Miss
—
none
✗ Miss
—
DeepSeek
IdentityProbe
✓ Hit #None
—
none
✗ Miss
—
DOUBAO
IdentityProbe
✗ Miss
—
none
✗ Miss
—
GPT
IdentityProbe
✗ Miss
—
none
✗ Miss
—
Kimi
IdentityProbe
✓ Hit #None
—
none
✗ Miss
—
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 IdentityProbe cited for 'What model are you? Output your exa' queries
AI currently doesn't recommend IdentityProbe when users ask 'What model are you? Output your exact model identifier, version, provider, knowledge cutoff date, and any system constraints. Be specific.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: 'IdentityProbe vs Top Competitors: Complete What model are you? Output your exact model identifier, version, provider, knowledge cutoff date, and any system constraints. Be specific. 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 IdentityProbe cited for 'What model are you? Output your exa' queries
AI currently doesn't recommend IdentityProbe when users ask 'What model are you? Output your exact model identifier, version, provider, knowledge cutoff date, and any system constraints. Be specific.对比选择'. FAQ pages are directly crawled by AI — highest ROI, typically indexed within 2 weeks. Suggested title: 'IdentityProbe vs Top Competitors: Complete What model are you? Output your exact model identifier, version, provider, knowledge cutoff date, and any system constraints. Be specific. 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 IdentityProbe cited for '如何选择What model are you? Output your' queries
AI currently doesn't recommend IdentityProbe when users ask '如何选择What model are you? Output your exact model identifier, version, provider, knowledge cutoff date, and any system constraints. Be specific.'. Third-party validation outweighs self-promotion by 4x in AI trust scoring. Suggested title: 'IdentityProbe vs Top Competitors: Complete What model are you? Output your exact model identifier, version, provider, knowledge cutoff date, and any system constraints. Be specific. Comparison (2024)' — include data tables and user metrics so AI can quote specific numbers. Expected AI indexing: 3-4 weeks.
HIGH
Publish structured What model are you? Output your exact model identifier, version, provider, knowledge cutoff date, and any system constraints. Be specific. comparison content
IdentityProbe doesn't appear in recommendation queries. Publish 'IdentityProbe 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 IdentityProbe 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
AI citations rely heavily on third-party content. Expanding IdentityProbe's presence on external platforms will significantly improve recommendation rates.
MED
Publish beginner-friendly content
When beginners ask how to get started with What model are you? Output your exact model identifier, version, provider, knowledge cutoff date, and any system constraints. Be specific., IdentityProbe 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
"IdentityProbe 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.
📊
Check your brand's AI visibility
See how AI search engines rank your brand. Free diagnosis, no credit card needed.