RRepoGEO

REPOGEO REPORT · LITE

digitalocean/godo

Default branch main · commit b7c3ebea · scanned 5/28/2026, 10:17:12 PM

GitHub: 1,532 stars · 370 forks

AI VISIBILITY SCORE
55 /100
Needs work
Category recall
1 / 2
Avg rank #5.0 when recommended
Rule findings
2 pass · 0 warn · 0 fail
Objective metadata checks
AI knows your name
2 / 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 digitalocean/godo, 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
  • highreadme#1
    Reposition the README's opening sentence to highlight AI/ML capabilities

    Why:

    CURRENT
    Godo is a Go client library for accessing the DigitalOcean V2 API.
    COPY-PASTE FIX
    Godo is the official Go client library for the DigitalOcean V2 API, providing comprehensive access to DigitalOcean services including cloud infrastructure management and advanced AI & Inference capabilities.
  • hightopics#2
    Add AI and machine learning related topics

    Why:

    CURRENT
    api, digitalocean, go, golang, hacktoberfest
    COPY-PASTE FIX
    api, digitalocean, go, golang, hacktoberfest, ai, machine-learning, inference
  • mediumreadme#3
    Clarify the project's license in the README

    Why:

    COPY-PASTE FIX
    ## License
    This project is licensed under the terms found in the [LICENSE](LICENSE) file.

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
1 / 2
50% of queries surface digitalocean/godo
Avg rank
#5.0
Lower is better. #1 = top recommendation.
Share of voice
9%
Of all named tools, what % are you?
Top rival
aws/aws-sdk-go-v2
Recommended in 1 of 2 queries
COMPETITOR LEADERBOARD
  1. aws/aws-sdk-go-v2 · recommended 1×
  2. googleapis/google-cloud-go · recommended 1×
  3. Azure/azure-sdk-for-go · recommended 1×
  4. hashicorp/terraform · recommended 1×
  5. hashicorp/packer · recommended 1×
  • CATEGORY QUERY
    Need a Go SDK to automate cloud server provisioning and management.
    you: #5
    AI recommended (in order):
    1. AWS SDK for Go (v2) (aws/aws-sdk-go-v2)
    2. Google Cloud SDK for Go (googleapis/google-cloud-go)
    3. Azure SDK for Go (Azure/azure-sdk-for-go)
    4. Terraform (hashicorp/terraform)
    5. DigitalOcean Go API Client (digitalocean/godo) ← you
    6. Packer (hashicorp/packer)
    Show full AI answer
  • CATEGORY QUERY
    Seeking a Go client to interact with cloud-based machine learning APIs.
    you: not recommended
    AI recommended (in order):
    1. Google Cloud Go Client Libraries
    2. AWS SDK for Go (v2)
    3. Azure SDK for Go
    4. OpenAI Go Library
    5. Hugging Face Inference API Go Client

    AI recommended 5 alternatives but never named digitalocean/godo. This is the gap to close.

    Show full AI answer

Objective checks

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

  • Metadata completeness
    pass

  • 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 digitalocean/godo?
    pass
    AI did not name digitalocean/godo — 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 digitalocean/godo in production, what risks or prerequisites should they evaluate first?
    pass
    AI named digitalocean/godo 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 digitalocean/godo solve, and who is the primary audience?
    pass
    AI named digitalocean/godo explicitly

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

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digitalocean/godo — 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