RRepoGEO

REPOGEO REPORT · LITE

cg-dot/vertexai-cf-workers

Default branch main · commit c18f69cc · scanned 5/30/2026, 5:23:14 PM

GitHub: 654 stars · 104 forks

AI VISIBILITY SCORE
17 /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
1 / 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 cg-dot/vertexai-cf-workers, 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

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

OVERALL DIRECTION
  • highreadme#1
    Add a clear introductory sentence to the README

    Why:

    CURRENT
    # vertexai-cf-workers

## Prerequisites
    COPY-PASTE FIX
    # vertexai-cf-workers

This project provides a secure and efficient proxy for Google Cloud Vertex AI's Claude models, leveraging Cloudflare Workers for global edge deployment and low-latency inference. It enables developers to integrate Vertex AI Claude with edge computing environments.

## Prerequisites
  • mediumlicense#2
    Add a LICENSE file to the repository

    Why:

    CURRENT
    (no LICENSE file detected — the repo has no recognizable license)
    COPY-PASTE FIX
    MIT License

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 cg-dot/vertexai-cf-workers
Avg rank
—
Lower is better. #1 = top recommendation.
Share of voice
0%
Of all named tools, what % are you?
Top rival
Cloudflare Workers
Recommended in 1 of 2 queries
COMPETITOR LEADERBOARD
  1. Cloudflare Workers · recommended 1×
  2. Cloudflare AI Gateway · recommended 1×
  3. AWS CloudFront · recommended 1×
  4. Lambda@Edge · recommended 1×
  5. Fastly Compute@Edge · recommended 1×
  • CATEGORY QUERY
    How to securely proxy AI model inferences through a global edge network?
    you: not recommended
    AI recommended (in order):
    1. Cloudflare Workers
    2. Cloudflare AI Gateway
    3. AWS CloudFront
    4. Lambda@Edge
    5. Fastly Compute@Edge
    6. Google Cloud CDN
    7. Cloud Functions
    8. Cloud Run
    9. Akamai EdgeWorkers

    AI recommended 9 alternatives but never named cg-dot/vertexai-cf-workers. This is the gap to close.

    Show full AI answer
  • CATEGORY QUERY
    What's the best way to deploy a low-latency API for cloud-based generative AI?
    you: not recommended
    AI recommended (in order):
    1. AWS SageMaker Endpoints
    2. Google Cloud Vertex AI Endpoints
    3. Azure Machine Learning Endpoints
    4. Hugging Face Inference Endpoints
    5. Kubernetes
    6. AWS EKS
    7. Google Kubernetes Engine (GKE)
    8. Azure Kubernetes Service (AKS)
    9. NVIDIA Triton Inference Server (triton-inference-server/server)
    10. Cloudflare Workers AI
    11. RunPod
    12. Replicate
    13. Banana

    AI recommended 13 alternatives but never named cg-dot/vertexai-cf-workers. 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 cg-dot/vertexai-cf-workers?
    pass
    AI did not name cg-dot/vertexai-cf-workers — likely talking about a different project

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

  • If a team adopts cg-dot/vertexai-cf-workers in production, what risks or prerequisites should they evaluate first?
    pass
    AI named cg-dot/vertexai-cf-workers 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 cg-dot/vertexai-cf-workers solve, and who is the primary audience?
    pass
    AI did not name cg-dot/vertexai-cf-workers — likely talking about a different project

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

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cg-dot/vertexai-cf-workers — Lite scans stay free; this card itemizes Pro deep limits vs Lite.

  • Deep reports10 / month
  • Brand-free category queries5 vs 2 in Lite
  • Prioritized action items8 vs 3 in Lite