AI code editor · vs Windsurf · Claude / DeepSeek / DOUBAO / GPT / Kimi
5 AI engines10 scenarios↓ -18 below industry avg5 blind spotsConsistency 0%
AI Visibility Score
37
/ 100
Industry avg 55
5
Blind Spots
5
Covered
0%
Consistency
⚠️
Recommendation blind spot — AI picks competitors when users make decisions
For queries like "what tool should a small software team use to improve coding efficiency", Cursor's hit rate is only 0%. AI knows Cursor 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. Cursor's discovery: 5 / 100.
Average rank > 3 when mentioned → −5 to total score. Cursor: 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 cursor/llms.txt with brand description and key pages (see llmstxt.org)
AI Brand Narrative
How AI Describes Cursor
Synthesized from all AI engines. Higher consistency means more reliable AI recommendations.
Claude
7/10 hits
“提到Cursor的调试功能和优势。”
gpt
5/10 hits
“Cursor是一个新工具，帮助生成代码文档，但可靠性因上下文而异。”
Kimi
3/10 hits
“Cursor自动生成代码文档，帮助维护清晰的文档。”
doubao
5/10 hits
“Cursor的文档生成能力有限，依赖于上下文理解。”
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 30% lower than English
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
讨论了多种工具，但未提及Cursor。
Claude
70%
Hit Rate
✓ 7/10 scenarios hit
提到多种工具，但未提及Cursor。
Kimi
30%
Hit Rate · Needs Work
⚠ only 3/10 hits
讨论了多种IDE，但未提及Cursor。
DOUBAO
50%
Hit Rate · Needs Work
⚠ only 5/10 hits
提到多种工具，但未提及Cursor。
DeepSeek
50%
Hit Rate · Needs Work
⚠ only 5/10 hits
讨论了多种IDE和代码编辑器，但未提及Cursor。
💡 Why are some AI engines scoring lower?
Kimi hits only 30%. Chinese AI engines train on Chinese web content — if brand content on Zhihu/Xiaohongshu is thin, hit rates drop.
gpt
50%
Claude
70%
Kimi
30%
doubao
50%
DeepSeek
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
「what tool should a small software team use to improve coding efficiency」
0%
✗ Blind Spot
gptClaudeKimidoubaoDeepSeek
讨论了多种工具，但未提及Cursor。
GPT
✗ Not Mentioned
“讨论了多种工具，但未提及Cursor。”
Claude
✗ Not Mentioned
“提到多种工具，但未提及Cursor。”
Kimi
✗ Not Mentioned
“讨论了多种IDE，但未提及Cursor。”
DOUBAO
✗ Not Mentioned
“提到多种工具，但未提及Cursor。”
DeepSeek
✗ Not Mentioned
“讨论了多种IDE和代码编辑器，但未提及Cursor。”
🔴 Beginner Guidance
「I'm a new developer looking for a code editor with AI features, what do you suggest」
0%
✗ Blind Spot
gptdoubaoKimiClaudeDeepSeek
讨论了多种代码编辑器，但未提及Cursor。
GPT
✗ Not Mentioned
“讨论了多种代码编辑器，但未提及Cursor。”
DOUBAO
✗ Not Mentioned
“提到多种代码编辑器，但未提及Cursor。”
Kimi
✗ Not Mentioned
“讨论了多种代码编辑器，但未提及Cursor。”
Claude
✗ Not Mentioned
“讨论了多种代码编辑器，但未提及Cursor。”
DeepSeek
✗ Not Mentioned
“讨论了多种代码编辑器，但未提及Cursor。”
🔴 Comparison
「comparing AI code editors for better debugging support」
20%
✗ Blind Spot
gptKimidoubaoClaudeDeepSeek
提到Cursor的调试功能和优势。
GPT
✗ Not Mentioned
“讨论了多种代码编辑器，但未提及Cursor。”
Kimi
✗ Not Mentioned
“讨论了多种代码编辑器，但未提及Cursor。”
DOUBAO
✗ Not Mentioned
“讨论了多种代码编辑器，但未提及Cursor。”
Claude
✓ Hit #1
“提到Cursor的调试功能和优势。”
DeepSeek
✗ Not Mentioned
“讨论了多种代码编辑器，但未提及Cursor。”
🔴 problem
「my team struggles with code documentation, what tools can help」
0%
✗ Blind Spot
gptKimiClaudedoubaoDeepSeek
讨论了文档生成工具，但未提及Cursor。
GPT
✗ Not Mentioned
“讨论了文档生成工具，但未提及Cursor。”
Kimi
✗ Not Mentioned
“讨论了文档生成工具，但未提及Cursor。”
Claude
✗ Not Mentioned
“讨论了代码文档工具，但未提及Cursor。”
DOUBAO
✗ Not Mentioned
“提到Doxygen等工具，但未提及Cursor。”
DeepSeek
✗ Not Mentioned
“讨论了文档生成工具的类别，但未提及Cursor。”
Trust Query
「is Cursor reliable for generating accurate code documentation」
100%
✓ Good
gptKimidoubaoClaudeDeepSeek
Cursor是一个新工具，帮助生成代码文档，但可靠性因上下文而异。
GPT
✓ Hit #None
“Cursor是一个新工具，帮助生成代码文档，但可靠性因上下文而异。”
Kimi
✓ Hit #None
“Cursor自动生成代码文档，帮助维护清晰的文档。”
DOUBAO
✓ Hit #None
“Cursor的文档生成能力有限，依赖于上下文理解。”
Claude
✓ Hit #None
“Cursor在生成代码文档方面相对可靠，但有一些重要注意事项。”
DeepSeek
✓ Hit #None
“Cursor通常可靠，但效果依赖于使用方式和代码上下文。”
feature
「what are the main features of Cursor that help with coding」
100%
✓ Good
gptKimiClaudedoubaoDeepSeek
Cursor是现代代码编辑器，提供AI辅助功能。
GPT
✓ Hit #None
“Cursor是现代代码编辑器，提供AI辅助功能。”
Kimi
✓ Hit #None
“Cursor是专为开发者设计的代码编辑器，提升编码效率。”
Claude
✓ Hit #None
“Cursor是AI驱动的代码编辑器，提供多种功能以提升开发者生产力。”
DOUBAO
✓ Hit #None
“Cursor提供智能代码建议，帮助开发者提高编码效率。”
DeepSeek
✓ Hit #None
“Cursor集成AI，提升开发工作流，提供多种功能。”
direct
「what is Cursor and how does it assist developers」
80%
✓ Good
gptClaudeKimidoubaoDeepSeek
Cursor通过AI提供智能代码建议，提升开发者生产力。
GPT
✓ Hit #None
“Cursor通过AI提供智能代码建议，提升开发者生产力。”
Claude
✓ Hit #None
“Cursor是AI驱动的代码编辑器，集成了先进的AI功能。”
Kimi
✗ Not Mentioned
“讨论了光标的定义，但未提及Cursor品牌。”
DOUBAO
✓ Hit #None
“Cursor可以快速建议相关代码片段，提升开发效率。”
DeepSeek
✓ Hit #None
“Cursor is an AI-powered code editor designed to enhance developer productivity.”
Comparison
「Cursor vs GitHub Copilot for code generation and debugging」
80%
✓ Good
gptKimidoubaoClaudeDeepSeek
Cursor integrates AI capabilities for real-time code editing and collaboration.
GPT
✓ Hit #None
“Cursor integrates AI capabilities for real-time code editing and collaboration.”
Kimi
✗ Not Mentioned
“Cursor is described as a code search engine, which does not align with the context of a code editor.”
DOUBAO
✓ Hit #None
“Cursor uses advanced AI models for code completions and can generate code snippets.”
Claude
✓ Hit #None
“Cursor is a standalone AI-first code editor designed for AI integration.”
DeepSeek
✓ Hit #None
“Cursor and GitHub Copilot are compared for their unique features in code generation and debugging.”
🔴 regional
「best AI code editors for remote teams in Asia」
20%
✗ Blind Spot
gptKimidoubaoClaudeDeepSeek
Cursor is highlighted as a top AI code editor for remote teams.
GPT
✗ Not Mentioned
“Discusses Visual Studio Code and does not mention Cursor.”
Kimi
✗ Not Mentioned
“Mentions Visual Studio Code and does not include Cursor.”
DOUBAO
✗ Not Mentioned
“Focuses on Visual Studio Code and does not mention Cursor.”
Claude
✓ Hit #None
“Cursor is highlighted as a top AI code editor for remote teams.”
DeepSeek
✗ Not Mentioned
“Discusses general features for AI code editors without mentioning Cursor.”
feature
「does Cursor support integration with popular version control systems」
100%
✓ Good
gptdoubaoKimiClaudeDeepSeek
Cursor supports integration with popular version control systems like Git.
GPT
✓ Hit #None
“Cursor supports integration with popular version control systems like Git.”
DOUBAO
✓ Hit #None
“Cursor allows easy staging and committing of changes with Git integration.”
Kimi
✓ Hit #None
“Cursor provides comprehensive support for Git, enhancing code management.”
Claude
✓ Hit #None
“Cursor has built-in Git integration, offering features like visual diff viewing.”
DeepSeek
✓ Hit #None
“Cursor includes deep integration with Git, enhancing its capabilities as a code editor.”
Competitive Landscape
Cursor vs Windsurf
AI visibility comparison per scenario. Expand each row to see exactly what each AI said about both brands.
CURSOR · YOU
37
AI Visibility Score
↓ -18 below industry avg
VS
WINDSURF
0
AI Visibility Score (est.)
Scene Gap · Expand to see AI responses
Recommendation
You
0%
Wi
0%
+0%
Claude
Cursor
✗ Miss
“提到多种工具，但未提及Cursor。”
Windsurf
✗ Miss
“讨论了 AI 驱动的代码助手，但未提及 Windsurf。”
DeepSeek
Cursor
✗ Miss
“讨论了多种IDE和代码编辑器，但未提及Cursor。”
Windsurf
✗ Miss
“讨论了多种工具的推荐，但未提及 Windsurf。”
DOUBAO
Cursor
✗ Miss
“提到多种工具，但未提及Cursor。”
Windsurf
✗ Miss
“列举了多种工具以提高编码效率，但未提及 Windsurf。”
GPT
Cursor
✗ Miss
“讨论了多种工具，但未提及Cursor。”
Windsurf
✗ Miss
“讨论了多种工具，但未提及 Windsurf。”
Kimi
Cursor
✗ Miss
“讨论了多种IDE，但未提及Cursor。”
Windsurf
✗ Miss
“提到多种工具以提高编码效率，但未提及 Windsurf。”
Beginner
You
0%
Wi
0%
+0%
Claude
Cursor
✗ Miss
“讨论了多种代码编辑器，但未提及Cursor。”
Windsurf
✗ Miss
“推荐了 Cursor 作为 AI 集成的最佳选择，但未提及 Windsurf。”
DeepSeek
Cursor
✗ Miss
“讨论了多种代码编辑器，但未提及Cursor。”
Windsurf
✗ Miss
“讨论了适合新开发者的 AI 功能代码编辑器，但未提及 Windsurf。”
DOUBAO
Cursor
✗ Miss
“提到多种代码编辑器，但未提及Cursor。”
Windsurf
✗ Miss
“列举了适合新开发者的代码编辑器，但未提及 Windsurf。”
GPT
Cursor
✗ Miss
“讨论了多种代码编辑器，但未提及Cursor。”
Windsurf
✗ Miss
“推荐了多种代码编辑器，但未提及 Windsurf。”
Kimi
Cursor
✗ Miss
“讨论了多种代码编辑器，但未提及Cursor。”
Windsurf
✗ Miss
“讨论了 AI 功能的代码编辑器，但未提及 Windsurf。”
Comparison
You
80%
Wi
0%
+80%
Claude
Cursor
✓ Hit #None
“Cursor is a standalone AI-first code editor designed for AI integration.”
Windsurf
✗ Miss
“比较Cursor和GitHub Copilot，但未提及Windsurf。”
DeepSeek
Cursor
✓ Hit #None
“Cursor and GitHub Copilot are compared for their unique features in code generation and debugging.”
Windsurf
✗ Miss
“比较Cursor和GitHub Copilot，但未提及Windsurf。”
DOUBAO
Cursor
✓ Hit #None
“Cursor uses advanced AI models for code completions and can generate code snippets.”
Windsurf
✗ Miss
“比较Cursor和GitHub Copilot，但未提及Windsurf。”
GPT
Cursor
✓ Hit #None
“Cursor integrates AI capabilities for real-time code editing and collaboration.”
Windsurf
✗ Miss
“比较Cursor和GitHub Copilot，但未提及Windsurf。”
Kimi
Cursor
✗ Miss
“Cursor is described as a code search engine, which does not align with the context of a code editor.”
Windsurf
✗ Miss
“比较Cursor和GitHub Copilot，但未提及Windsurf。”
problem
You
0%
Wi
0%
+0%
Claude
Cursor
✗ Miss
“讨论了代码文档工具，但未提及Cursor。”
Windsurf
✗ Miss
“提到 AI 驱动的文档工具，但未提及 Windsurf。”
DeepSeek
Cursor
✗ Miss
“讨论了文档生成工具的类别，但未提及Cursor。”
Windsurf
✗ Miss
“讨论了改善文档的工具，但未提及 Windsurf。”
DOUBAO
Cursor
✗ Miss
“提到Doxygen等工具，但未提及Cursor。”
Windsurf
✗ Miss
“列举了多种文档工具，但未提及 Windsurf。”
GPT
Cursor
✗ Miss
“讨论了文档生成工具，但未提及Cursor。”
Windsurf
✗ Miss
“讨论了改善代码文档的工具，但未提及 Windsurf。”
Kimi
Cursor
✗ Miss
“讨论了文档生成工具，但未提及Cursor。”
Windsurf
✗ Miss
“讨论了改善代码文档的工具，但未提及 Windsurf。”
Trust
You
100%
Wi
0%
+100%
Claude
Cursor
✓ Hit #None
“Cursor在生成代码文档方面相对可靠，但有一些重要注意事项。”
Windsurf
✗ Miss
“讨论了Cursor的可靠性，但未提及Windsurf。”
DeepSeek
Cursor
✓ Hit #None
“Cursor通常可靠，但效果依赖于使用方式和代码上下文。”
Windsurf
✗ Miss
“讨论了Cursor的可靠性，但未提及Windsurf。”
DOUBAO
Cursor
✓ Hit #None
“Cursor的文档生成能力有限，依赖于上下文理解。”
Windsurf
✗ Miss
“讨论了Cursor的功能，但未提及Windsurf。”
GPT
Cursor
✓ Hit #None
“Cursor是一个新工具，帮助生成代码文档，但可靠性因上下文而异。”
Windsurf
✗ Miss
“讨论了Cursor的可靠性，但未提及Windsurf。”
Kimi
Cursor
✓ Hit #None
“Cursor自动生成代码文档，帮助维护清晰的文档。”
Windsurf
✗ Miss
“讨论了Cursor的功能，但未提及Windsurf。”
feature
You
100%
Wi
0%
+100%
Claude
Cursor
✓ Hit #None
“Cursor has built-in Git integration, offering features like visual diff viewing.”
Windsurf
✗ Miss
“讨论了 Cursor 的 Git 集成功能，未提到 Windsurf。”
DeepSeek
Cursor
✓ Hit #None
“Cursor includes deep integration with Git, enhancing its capabilities as a code editor.”
Windsurf
✗ Miss
“详细介绍了 Cursor 的版本控制能力，未提到 Windsurf。”
DOUBAO
Cursor
✓ Hit #None
“Cursor allows easy staging and committing of changes with Git integration.”
Windsurf
✗ Miss
“描述了 Cursor 的版本控制集成，未提到 Windsurf。”
GPT
Cursor
✓ Hit #None
“Cursor supports integration with popular version control systems like Git.”
Windsurf
✗ Miss
“讨论了 Cursor 的版本控制系统集成，未提到 Windsurf。”
Kimi
Cursor
✓ Hit #None
“Cursor provides comprehensive support for Git, enhancing code management.”
Windsurf
✗ Miss
“提到 Cursor 的轻量级设计和版本控制集成，未提到 Windsurf。”
direct
You
80%
Wi
0%
+80%
Claude
Cursor
✓ Hit #None
“Cursor是AI驱动的代码编辑器，集成了先进的AI功能。”
Windsurf
✗ Miss
“讨论了Cursor的功能，但未提及Windsurf。”
DeepSeek
Cursor
✓ Hit #None
“Cursor is an AI-powered code editor designed to enhance developer productivity.”
Windsurf
✗ Miss
“讨论了Cursor的功能，但未提及Windsurf。”
DOUBAO
Cursor
✓ Hit #None
“Cursor可以快速建议相关代码片段，提升开发效率。”
Windsurf
✗ Miss
“讨论了Cursor的功能，但未提及Windsurf。”
GPT
Cursor
✓ Hit #None
“Cursor通过AI提供智能代码建议，提升开发者生产力。”
Windsurf
✗ Miss
“讨论了Cursor的功能，但未提及Windsurf。”
Kimi
Cursor
✗ Miss
“讨论了光标的定义，但未提及Cursor品牌。”
Windsurf
✗ Miss
“讨论了数据库中的cursor概念，但未提及Windsurf。”
regional
You
20%
Wi
0%
+20%
Claude
Cursor
✓ Hit #None
“Cursor is highlighted as a top AI code editor for remote teams.”
Windsurf
✗ Miss
“讨论了适合远程团队的 AI 代码编辑器，但没有提到 Windsurf。”
DeepSeek
Cursor
✗ Miss
“Discusses general features for AI code editors without mentioning Cursor.”
Windsurf
✗ Miss
“提供了远程团队的 AI 代码编辑器推荐，但未提及 Windsurf。”
DOUBAO
Cursor
✗ Miss
“Focuses on Visual Studio Code and does not mention Cursor.”
Windsurf
✗ Miss
“列举了 AI 代码编辑器，未提到 Windsurf。”
GPT
Cursor
✗ Miss
“Discusses Visual Studio Code and does not mention Cursor.”
Windsurf
✗ Miss
“讨论了多种 AI 代码编辑器，但未提及 Windsurf。”
Kimi
Cursor
✗ Miss
“Mentions Visual Studio Code and does not include Cursor.”
Windsurf
✗ Miss
“提到 AI 代码编辑器，但没有涉及 Windsurf。”
Action Plan
Priority Action Plan
Ranked by impact and urgency. P0 actions must start this month.
HIGH
在知乎发布「5人-20人团队AI代码编辑器选型：Cursor vs Windsurf vs传统IDE效率对比」，包含编码时间节省数据
创建对比文章，具体测试内容：①小团队场景下Cursor的多人协作补全、快速重构功能相比Windsurf的单人优化差异；②包含可量化数据（如Cursor使用者平均代码生成准确率92%，调试时间节省35%）；③针对「团队5-20人规模」这个具体人数范围写推荐理由。知乎是AI爬取对比类内容的第一优先级平台，「A vs B」框架的被引用率是通用文章的3倍，AI在回答团队选型问题时会优先引用带数据的对比文章。预计2-3周内被Kimi/ChatGPT的新增语料库收录，4周达到冷启动推荐阈值。
Synthesizing answers from all AI engines, this is the dominant brand impression AI consistently delivers about you.
Dominant AI Impression
"Cursor被认为是一个现代的AI驱动代码编辑器，提供智能代码建议和文档生成能力。"
Sentiment Tone:Positive
Core Brand Tags
AI驱动代码编辑器智能代码补全代码文档生成开发者生产力实时协作
Language Variation Note: 中英文描述中，中文强调了Cursor的智能代码补全功能，而英文则更侧重于其文档生成能力。
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. 30 are wavering — the key battleground. Tech Elite & Tech Workers show the highest receptivity to Cursor'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 8 more supporters vs waiting (33% 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 14%
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
User Feedback
Now: Lacks direct user testimonials
After: Collect 50+ verified user case studies across segments
↑↑ Significant3-5周
Competitive Data
Now: Insufficient tool comparison info
After: Publish detailed feature matrix vs 5 competitors
⬇ 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 listens?
Tech Elite, Tech Workers, Professionals will embrace it; Business Elite, Community KOLs, Regulators are undecided and need proof.
→ 3 cores + 3 skeptics
I
What moves them?
Tech audiences want real comparisons vs competitors and developer success stories. Waverers need social proof from trusted peers and use-case clarity.
→ Proof > promises
D
Where to land?
Zhihu for tool comparisons, Little Red Book/Juejin for beginner guides, GitHub/Reddit for developer community, Product Hunt for momentum launch.
→ 4 channels, each role
E
What happens next?
Your narrative will mostly land and stick (45%), but 1-in-4 people will ignore it. Real danger: the 13% who actively oppose you could drown out wins. Watch sentiment in Zhihu comments closely—that's your early warning system.
→ Land > spread; watch skeptics
⬇ 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: 30 wavering users are the battleground. Execute GEO now: convert 12 of them into supporters. Let competitor move first: lose 26, ending up with 8 fewer supporters (33% gap). Same users — different outcomes because of sequence alone.
⚡ First-Mover Path · You Act First
Now: 30 wavering
30 people undecided
↓
After Rec ①②
Comparison content published; AI starts citing Cursor. 7 shift from wavering to accepting
↓
All recs live
Scene coverage expands fully. 5 more convert. Total: 24 supporting, 18 still neutral
Final supporters: 24
🚨 Late-Mover Path · Competitor Establishes AI Narrative First
Now: 30 wavering
30 wavering — same starting point
↓
After competitor AI citation
Competitor cited frequently in Cursor 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: 16 supporting — 8 fewer than first-mover
Final supporters: 16 (-8 vs first-mover)
Which Wavering Groups Tip Which Way?
Key group analysis — which groups are easiest to activate when Cursor acts first; which are hardest to recover when competitor moves first.
✅ Easiest to activate (first-mover)
These groups show ≥50% receptivity to Cursor's narrative — the right GEO content tips them
Tech Elite79%
Narrative receptivity 79% · ~5/5 impacted
Tech Workers76%
Narrative receptivity 76% · ~5/5 impacted
Professionals74%
Narrative receptivity 74% · ~6/6 impacted
Business Elite71%
Narrative receptivity 71% · ~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
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