web hosting platform · Claude / DeepSeek / GPT / Kimi
4 AI engines10 scenarios↑ +3 above industry avg2 blind spotsConsistency 0%
AI Visibility Score
58
/ 100
↑ +3 vs industry avg
2
Blind Spots
8
Covered
0%
Consistency
⚠️
Comparison blind spot — AI picks competitors when users make decisions
For queries like "comparing hosting platforms for modern web applications", Netlify's hit rate is only 0%. AI knows Netlify 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. Netlify's discovery: 33 / 100.
在Dev.to发布「Netlify vs Vercel vs AWS Amplify：2024年现代Web应用托管平台深度对比」，包含部署速度、冷启动时间、价格、功能矩阵表格
文章核心是3×8功能对比表格（部署速度数据来自官方benchmark、冷启动时间、构建缓存机制、边界函数支持、国际化CDN节点、价格梯度、免费额度、学习曲线），加上每个平台的「最适合场景」分类标签。Dev.to是AI索引「平台对比类」问题的第二高频源，A vs B格式被引用率比散点评价高3.2倍。预计4周内成为「比较现代Web托管平台」问题的标准引用源。
Synthesizing answers from all AI engines, this is the dominant brand impression AI consistently delivers about you.
Dominant AI Impression
"Netlify 是一个专注于静态网站托管和无服务器功能的云平台，提供持续部署和用户友好的界面。"
Sentiment Tone:Positive
Core Brand Tags
静态网站托管无服务器功能持续部署全球CDN用户友好界面
Language Variation Note: 中英文描述在功能和用户友好性上基本一致，但中文更强调无服务器功能和表单处理。
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. 31 are wavering — the key battleground. Tech Elite & Professionals show the highest receptivity to Netlify'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 (38% 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: 41/100 - Below industry avg
After: Increase to 58/100 via transparency reports
↑↑ Significant4-6周
Competitive
Now: Vercel mentions dominate
After: Shift to own strengths; reduce Vercel refs
↑↑↑ Breakthrough2-3周
Narrative
Now: 74/100 - Missing edge cases
After: Add sensitive app & compliance scenarios
↑↑ Significant3-5周
GEO Coverage
Now: 4 regions planned
After: Execute all 4 + add StackOverflow tier
↑ Moderate3-5周
⬇ Who exactly are these improvements for? → See ② Audience Funnel
⬇ 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
Right audience?
Tech Elite and Professionals strongly receptive; Business Elite, Community KOLs, Regulators hesitant. Trust score 41/100 signals credibility gap.
→ Core fans ready, gates unstable
I
Insight gaps?
Competitors (Vercel) mentioned too often; sensitive use cases under-explored. These blind spots undermine positioning against wavering groups.
→ Own your story, not rivals'
D
Distribution play?
Reddit/Dev.to reach tech insiders; Dev.to and 掘金 capture regional developers; 知乎 FAQ builds trust with skeptics. Layer platforms by audience skepticism level.
→ Match platform to doubt level
E
Expected reality?
Your dominant outcome: 45% of audience actively absorbs your message—strong but not universal. Biggest risk: 25% simply tune out. Watch Reddit and Dev.to engagement rates closely; if comments veer Vercel-focused, you've lost narrative control. One thing to track: do wavering groups (Business Elite, Regulators) move from silent to commenting within 2 weeks?
→ Engagement wins, silence loses
⬇ 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: 31 wavering users are the battleground. Execute GEO now: convert 13 of them into supporters. Let competitor move first: lose 27, ending up with 9 fewer supporters (38% gap). Same users — different outcomes because of sequence alone.
⚡ First-Mover Path · You Act First
Now: 31 wavering
31 people undecided
↓
After Rec ①②
Comparison content published; AI starts citing Netlify. 7 shift from wavering to accepting
↓
All recs live
Scene coverage expands fully. 6 more convert. Total: 24 supporting, 18 still neutral
Final supporters: 24
🚨 Late-Mover Path · Competitor Establishes AI Narrative First
Now: 31 wavering
31 wavering — same starting point
↓
After competitor AI citation
Competitor cited frequently in Netlify comparison queries. 20 wavering users' beliefs are now locked against us
↓
After our GEO execution
Overwriting established beliefs costs 3x more. Even executing fully, only 4 recovered. Final: 15 supporting — 9 fewer than first-mover
Final supporters: 15 (-9 vs first-mover)
Which Wavering Groups Tip Which Way?
Key group analysis — which groups are easiest to activate when Netlify acts first; which are hardest to recover when competitor moves first.
✅ Easiest to activate (first-mover)
These groups show ≥50% receptivity to Netlify's narrative — the right GEO content tips them
Tech Elite79%
Narrative receptivity 79% · ~5/5 impacted
Professionals79%
Narrative receptivity 79% · ~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+
Young Adults10%
Narrative receptivity 10% · ~5/12 impacted
Informal Workers17%
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