RRepoGEO

REPOGEO REPORT · LITE

openai/openai-go

Default branch main · commit 43deb5df · scanned 5/14/2026, 1:51:31 PM

GitHub: 3,227 stars · 319 forks

AI VISIBILITY SCORE
28 /100
Critical
Category recall
0 / 2
Not recommended in any query
Rule findings
1 pass · 1 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 openai/openai-go, 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
  • hightopics#1
    Add relevant topics to the repository

    Why:

    CURRENT
    (none)
    COPY-PASTE FIX
    go, golang, openai, api-client, generative-ai, llm, artificial-intelligence, official-library, rest-api
  • highreadme#2
    Explicitly state 'official' status in the README's opening sentence

    Why:

    CURRENT
    The OpenAI Go library provides convenient access to the OpenAI REST API from applications written in Go.
    COPY-PASTE FIX
    The official OpenAI Go library provides convenient and idiomatic access to the OpenAI REST API from applications written in Go.
  • mediumhomepage#3
    Add a homepage URL to the repository metadata

    Why:

    CURRENT
    (none)
    COPY-PASTE FIX
    https://platform.openai.com/docs/libraries/go

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 openai/openai-go
Avg rank
—
Lower is better. #1 = top recommendation.
Share of voice
0%
Of all named tools, what % are you?
Top rival
github.com/sashabaranov/go-openai
Recommended in 1 of 2 queries
COMPETITOR LEADERBOARD
  1. github.com/sashabaranov/go-openai · recommended 1×
  2. Google Cloud Vertex AI Go Client Library · recommended 1×
  3. Hugging Face Inference API · recommended 1×
  4. Ollama · recommended 1×
  5. github.com/tmc/langchaingo · recommended 1×
  • CATEGORY QUERY
    How to integrate large language models into a Go application efficiently?
    you: not recommended
    AI recommended (in order):
    1. OpenAI Go Library (github.com/sashabaranov/go-openai)
    2. Google Cloud Vertex AI Go Client Library
    3. Hugging Face Inference API
    4. Ollama
    5. LangChain Go (github.com/tmc/langchaingo)
    6. Custom HTTP Client
    7. Goroutines and Channels

    AI recommended 7 alternatives but never named openai/openai-go. This is the gap to close.

    Show full AI answer
  • CATEGORY QUERY
    Seeking a reliable client library for generative AI services in Go projects.
    you: not recommended
    AI recommended (in order):
    1. Google Cloud Go Client Libraries
    2. OpenAI Go Library (sashabaranov/go-openai)
    3. AWS SDK for Go v2 (aws/aws-sdk-go-v2)
    4. Hugging Face Inference API Go Client (huggingface/go-inference)
    5. Go-Cohere (cohere-ai/go-sdk)
    6. Anthropic Go SDK (anthropic-ai/anthropic-sdk-go)

    AI recommended 6 alternatives but never named openai/openai-go. This is the gap to close.

    Show full AI answer

Objective checks

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

  • Metadata completeness
    warn

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

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

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openai/openai-go — Lite scans stay free; this card itemizes Pro deep limits vs Lite.

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  • Brand-free category queries5 vs 2 in Lite
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