RRepoGEO

REPOGEO REPORT · LITE

groq/groq-python

Default branch main · commit b4923d97 · scanned 6/3/2026, 9:11:16 PM

GitHub: 604 stars · 57 forks

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 groq/groq-python, 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 README H1 and opening sentence to highlight low-latency LLM inference

    Why:

    CURRENT
    # Groq Python API library

The Groq Python library provides convenient access to the Groq REST API from any Python 3.10+ application.
    COPY-PASTE FIX
    # Groq Python API Library: Ultra-Low Latency LLM Inference

The official Groq Python library provides convenient, high-performance access to the Groq API, enabling developers to integrate ultra-low latency large language model (LLM) inference into any Python 3.10+ application.
  • mediumtopics#2
    Update repository topics to reflect core functionality

    Why:

    CURRENT
    managed-by-terraform
    COPY-PASTE FIX
    python, sdk, llm, generative-ai, low-latency, ai-inference, groq
  • mediumhomepage#3
    Add a homepage URL to the repository's 'About' section

    Why:

    COPY-PASTE FIX
    https://console.groq.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 groq/groq-python
Avg rank
—
Lower is better. #1 = top recommendation.
Share of voice
0%
Of all named tools, what % are you?
Top rival
openai/openai-python
Recommended in 1 of 2 queries
COMPETITOR LEADERBOARD
  1. openai/openai-python · recommended 1×
  2. anthropics/anthropic-sdk-python · recommended 1×
  3. googleapis/python-aiplatform · recommended 1×
  4. huggingface/huggingface_hub · recommended 1×
  5. vllm-project/vllm · recommended 1×
  • CATEGORY QUERY
    How to integrate low-latency large language models into a Python application?
    you: not recommended
    AI recommended (in order):
    1. OpenAI API (openai/openai-python)
    2. Anthropic API (anthropics/anthropic-sdk-python)
    3. Google Cloud Vertex AI (googleapis/python-aiplatform)
    4. Hugging Face Inference Endpoints (huggingface/huggingface_hub)
    5. vLLM (vllm-project/vllm)
    6. Ollama (ollama/ollama)
    7. LiteLLM (BerriAI/litellm)

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

    Show full AI answer
  • CATEGORY QUERY
    Seeking a Python SDK for efficiently calling high-performance generative AI models.
    you: not recommended
    AI recommended (in order):
    1. OpenAI Python Library
    2. Anthropic Python SDK
    3. Google Cloud Generative AI SDK for Python
    4. Hugging Face Transformers Library
    5. LangChain
    6. LiteLLM

    AI recommended 6 alternatives but never named groq/groq-python. 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 groq/groq-python?
    pass
    AI named groq/groq-python explicitly

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

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