Cursor AI Search Visibility Report

Cursor AI Search Visibility Report across 8 AI platforms and 80 AI checks: about 81% mention rate, rank #2, competitor visibility, citations, and action plan.

8 AI platforms 80 AI checks 81% mention rate Rank #2
cursor.com
AI Visibility Diagnosis

AI mentions you in 81% of Code Editors questions

81%
MENTION RATE
2 / 6
YOUR RANK
1.3
AVG POSITION
Blind Spot
ChatGPT overlooks you for debugging queries, favoring GitHub Copilot
Your Strength
You are universally recognized as the top AI IDE for shipping fast
5 points from #1 — we'll help you close the gap. You're at 81%, GitHub Copilot at 86%.
Brand ranking in your category
YOU RANK
#2 of 6 brands AI ever cited
GAP TO LEADER
5 pts behind GitHub Copilot
#1
GitHub CopilotGitHub Copilot
86%
#2
CursorCursor (you)
81%
#3
WindsurfWindsurf
43%
#4
TabnineTabnine
20%
#5
Amazon Q DeveloperAmazon Q Developer
10%
Where AI gets its answers — and where you're not in the room

AI cites specific pages when it answers. Three places matter: community discussion, competitor-owned content, and your own site. Here's how that mix breaks down for your category.

99%
Community
AI pulled 112 citations (99%) from community sources like youtube.com and dev.to. These are buyer conversations and third-party discussions, so the opportunity is to influence them with useful, findable answers.
1%
Competitor
AI pulled 1 citations (1%) from competitor-owned pages like aws.amazon.com. Competitors are shaping the comparison context from assets they control, which makes this a content gap to answer with stronger neutral and owned evidence.
0%
Your site
Your own site was not cited in this scan. AI needs crawlable, specific pages from you that directly answer the monitored buying questions.
#
Source domain
Cites
Type
Top pages cited from youtube.com
What AI actually said about your category

10 representative queries from this scan. Click any row to see each AI's actual response, the sources it cited, and how the same question is answered across platforms.

Cited on 8 of 8 platforms.Copilot showed a brand recognition gap in this scan, making it your biggest AI search visibility gap.
QUERY
YOUR RANK
ChatGPTGeminiClaudePerplexityCopilotGrokGoogle AI ModeGoogle AI Overview
All brands cited in this query · aggregated across 7 platforms
#1CursorCursorYOU
#2GitHub CopilotGitHub Copilot
#3WindsurfWindsurf
#4ZedZed
See the actual answer from each platform:

Yes—there are a few code editors that go beyond “just text editing” and actively help you write code (autocomplete, AI suggestions, refactoring, error detection, etc.). The best ones depend on how much help you want.

1) Visual Studio Code (most popular “smart editor”) Visual Studio Code This is the default recommendation for most developers right now. On its own it’s a solid editor, but the real power comes from extensions:

  • AI autocomplete (like GitHub Copilot)
  • IntelliSense (context-aware suggestions)
  • Built-in debugging, Git, linting
  • Huge extension ecosystem

If you want “helps me write code but still lightweight,” this is usually the starting point.


2) Cursor (AI-first coding experience) Cursor This is basically a fork of VS Code but built around AI assistance:

  • Can generate entire functions or files from prompts
  • Chat with your codebase
  • Good at refactoring and explaining code
  • Less manual setup than VS Code + extensions

If your main goal is “the editor helps me write most of the code,” this is one of the strongest options right now.


3) JetBrains IDEs (deep code intelligence, heavier but powerful) JetBrains IntelliJ IDEA JetBrains tools are more “IDE than editor”:

  • Very strong code analysis and refactoring
  • Excellent autocomplete that understands project structure
  • Great for Java, Kotlin, Python (PyCharm), etc.
  • Less extension-based; more built-in intelligence

Downside: heavier and sometimes slower to start.


4) Neovim (for fast, customizable workflows) Neovim This is for people who want extreme efficiency:

  • Keyboard-driven editing
  • Can be turned into a powerful AI-assisted setup
  • Works great with LSP servers (smart autocomplete)
  • Very configurable, but requires setup time

It doesn’t “help” by default—you build the help system yourself.


5) Sublime Text (fast but minimal intelligence out of the box) Sublime Text

  • Extremely fast and responsive
  • Good for quick editing
  • Can be extended, but not as AI-native as others
  • Less “assistant-like” unless you add tools

What actually “helps write code” most today?

If you want real assistance (not just autocomplete):

  • Best overall: VS Code + Copilot
  • Most AI-native: Cursor
  • Most “understands large projects deeply”: JetBrains IDEs

If you tell me what language you’re using (Python, JavaScript, C++, etc.), I can narrow it down to a setup that actually fits your workflow instead of just listing tools.

What to do next

This action plan focuses on closing AI search visibility gaps by publishing comprehensive 2026 tool rankings, developer workflow guides, and targeted debugging tutorials to capture citations currently dominated by community platforms and competitor blogs.

AI engines are heavily citing round-up articles from competitors like Faros.ai and Verdent.ai (4+ citations each) for queries about the best AI coding tools. Our brand currently has a citation gap in these "best of 2026" lists, missing out on visibility across 4 major AI platforms. faros.ai, verdent.ai, playcode.io

Suggestions
  • Compile a comprehensive list of the top AI coding tools projected for 2026.
  • Compare features, pricing, language support, and IDE integrations.
  • Publish the guide on the main website's resource center.
  • Optimize the content for queries related to 'best AI coding assistants 2026'.

These 5 are this week's highest-priority moves.

YOUR BRAND'S TURN

Is AI recommending you — or your competitors?

Run a free scan of your own site — see where AI leaves you out, why rivals get recommended, and the top 5 fixes to make this week.

8+ AI platforms · 4 dimensions of analysis · data refreshed daily