RRepoGEO

REPOGEO REPORT · LITE

googleapis/go-genai

Default branch main · commit 843a6657 · scanned 5/20/2026, 6:17:01 PM

GitHub: 1,118 stars · 141 forks

Scan history for this repo

Score trend below includes all ready runs (older left, newer right; scroll horizontally if needed). The table is collapsed by default—expand for newest-first rows, 10 per page.

Score trend (left → right: older → newer)

2 ready scans. Expand the table below for newest-first rows (10 per page, paginated).

AI VISIBILITY SCORE
35 /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
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 googleapis/go-genai, 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:

    COPY-PASTE FIX
    go, golang, genai, generative-ai, google-ai, gemini, llm, multimodal, sdk, client-library
  • highreadme#2
    Emphasize 'official' and 'client library' in the README's opening sentence

    Why:

    CURRENT
    The Google Gen AI Go SDK provides an interface for developers to integrate Google's generative models into their Go applications.
    COPY-PASTE FIX
    The official Google Gen AI Go SDK provides an idiomatic client library for Go developers to integrate Google's generative models (like Gemini) into their applications.
  • mediumreadme#3
    Add a 'Why choose this SDK?' section to the README

    Why:

    COPY-PASTE FIX
    ## Why choose the Google Gen AI Go SDK?
The Google Gen AI Go SDK is the official, Google-maintained Go client library specifically designed for interacting with Google's Generative AI services (like Gemini). It offers idiomatic Go interfaces for seamless integration with Google's state-of-the-art generative models.

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 googleapis/go-genai
Avg rank
—
Lower is better. #1 = top recommendation.
Share of voice
0%
Of all named tools, what % are you?
Top rival
Google Cloud Vertex AI
Recommended in 1 of 2 queries
COMPETITOR LEADERBOARD
  1. Google Cloud Vertex AI · recommended 1×
  2. OpenAI API · recommended 1×
  3. Hugging Face Transformers · recommended 1×
  4. AWS Bedrock · recommended 1×
  5. Replicate · recommended 1×
  • CATEGORY QUERY
    How to integrate generative AI models into my Go application for text and image processing?
    you: not recommended
    AI recommended (in order):
    1. Google Cloud Vertex AI
    2. OpenAI API
    3. Hugging Face Transformers
    4. AWS Bedrock
    5. Replicate
    6. ONNX Runtime (microsoft/onnxruntime)
    7. TensorFlow Lite

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

    Show full AI answer
  • CATEGORY QUERY
    What Go SDKs are available for building AI-powered features using large language models?
    you: not recommended
    AI recommended (in order):
    1. Google Cloud Go SDK
    2. OpenAI Go Library (sashabaranov/go-openai)
    3. Hugging Face Transformers Go (huggingface/go-transformers)
    4. AWS SDK for Go (v2) (aws/aws-sdk-go-v2)
    5. Azure SDK for Go (Azure/azure-sdk-for-go)

    AI recommended 5 alternatives but never named googleapis/go-genai. 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 googleapis/go-genai?
    pass
    AI named googleapis/go-genai explicitly

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

  • If a team adopts googleapis/go-genai in production, what risks or prerequisites should they evaluate first?
    pass
    AI named googleapis/go-genai 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 googleapis/go-genai solve, and who is the primary audience?
    pass
    AI named googleapis/go-genai explicitly

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

Embed your GEO score

Drop this badge into the README of googleapis/go-genai. It auto-updates whenever the report is rescanned and links back to the latest report — easy public proof that you care about AI discoverability.

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googleapis/go-genai — 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
googleapis/go-genai — RepoGEO report