RRepoGEO

REPOGEO REPORT · LITE

wisdgod/cursor-api

Default branch main · commit 68e85df1 · scanned 6/1/2026, 1:27:02 PM

GitHub: 688 stars · 294 forks

AI VISIBILITY SCORE
30 /100
Critical
Category recall
0 / 2
Not recommended in any query
Rule findings
1 pass · 0 warn · 1 fail
Objective metadata checks
AI knows your name
3 / 3
Direct prompts that named your repo
HOW TO READ THIS REPORT

Action plan is what to do next — copy-pasteable changes prioritized by impact. Category visibility is the real GEO test: when a user asks an AI a brand-free question that should surface wisdgod/cursor-api, does the AI actually recommend you — or your competitors? Objective checks verify the metadata signals AI engines weight first. Self-mention check detects whether AI even knows you exist by name.

Action plan — copy-paste fixes

3 prioritized changes generated by gemini-2.5-flash. Mark items done after you ship the fix.

OVERALL DIRECTION
  • highabout#1
    Add a concise description clarifying the repository's archived status and purpose

    Why:

    COPY-PASTE FIX
    Archived: Legacy codebase providing a programmatic interface for Cursor's AI-first code editor, preserved for historical reference.
  • hightopics#2
    Add relevant topics to improve categorization

    Why:

    COPY-PASTE FIX
    cursor-api, ai-assistant, api-proxy, code-editor-api, legacy-code, archived
  • mediumhomepage#3
    Add a homepage URL for context

    Why:

    COPY-PASTE FIX
    https://www.cursor.com

Category GEO backends resolved for this scan: google/gemini-2.5-flash, deepseek/deepseek-v4-flash

Category visibility — the real GEO test

Brand-free queries asked to google/gemini-2.5-flash. Did AI recommend you, or someone else?

Same questions for every model — switch tabs to compare answers and rankings.

Recall
0 / 2
0% of queries surface wisdgod/cursor-api
Avg rank
Lower is better. #1 = top recommendation.
Share of voice
0%
Of all named tools, what % are you?
Top rival
OpenAI API
Recommended in 1 of 2 queries
COMPETITOR LEADERBOARD
  1. OpenAI API · recommended 1×
  2. Anthropic Claude API · recommended 1×
  3. Google Cloud Vertex AI · recommended 1×
  4. Hugging Face Inference API · recommended 1×
  5. Replicate · recommended 1×
  • CATEGORY QUERY
    How to programmatically interact with AI coding assistant services via a custom API?
    you: not recommended
    AI recommended (in order):
    1. OpenAI API
    2. Anthropic Claude API
    3. Google Cloud Vertex AI
    4. Hugging Face Inference API
    5. Replicate
    6. Tabnine Enterprise/API

    AI recommended 6 alternatives but never named wisdgod/cursor-api. This is the gap to close.

    Show full AI answer
  • CATEGORY QUERY
    Looking for a self-hosted proxy to enhance performance of an AI assistant API.
    you: not recommended
    AI recommended (in order):
    1. NGINX Plus
    2. Envoy Proxy
    3. HAProxy
    4. Varnish Cache
    5. Traefik

    AI recommended 5 alternatives but never named wisdgod/cursor-api. This is the gap to close.

    Show full AI answer

Objective checks

Rule-based audits of metadata signals AI engines weight most.

  • Metadata completeness
    fail

    Suggestion:

  • README presence
    pass

Self-mention check

Does AI even know your repo exists when asked about it directly?

  • Compared to common alternatives in this category, what is the core differentiator of wisdgod/cursor-api?
    pass
    AI named wisdgod/cursor-api explicitly

    AI answers can be confidently wrong. Read for accuracy: does it match your actual tech stack, audience, and differentiator?

  • If a team adopts wisdgod/cursor-api in production, what risks or prerequisites should they evaluate first?
    pass
    AI named wisdgod/cursor-api explicitly

    AI answers can be confidently wrong. Read for accuracy: does it match your actual tech stack, audience, and differentiator?

  • In one sentence, what problem does the repo wisdgod/cursor-api solve, and who is the primary audience?
    pass
    AI named wisdgod/cursor-api explicitly

    AI answers can be confidently wrong. Read for accuracy: does it match your actual tech stack, audience, and differentiator?

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  • Brand-free category queries5 vs 2 in Lite
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