RRepoGEO

REPOGEO REPORT · LITE

groq/groq-api-cookbook

Default branch main · commit 8b6555fe · scanned 5/20/2026, 4:22:59 AM

GitHub: 1,367 stars · 288 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
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 groq/groq-api-cookbook, 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 GitHub topics

    Why:

    CURRENT
    managed-by-terraform
    COPY-PASTE FIX
    groq-api, llm, api-examples, function-calling, chatbot, python, ai-applications, tutorials, cookbook, fast-inference
  • highabout#2
    Update the repository description

    Why:

    CURRENT
    groq-api-cookbook
    COPY-PASTE FIX
    A comprehensive collection of tutorials, sample code, and guidelines for integrating and using the Groq API, focusing on fast LLM inference, function calling, and AI application development.
  • highlicense#3
    Add a LICENSE file

    Why:

    CURRENT
    (no LICENSE file detected — the repo has no recognizable license)
    COPY-PASTE FIX
    Create a `LICENSE` file in the repository root. Choose an appropriate open-source license (e.g., MIT, Apache-2.0) and include its full text. If a custom license is intended, ensure its terms are clearly stated within the 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
0 / 2
0% of queries surface groq/groq-api-cookbook
Avg rank
Lower is better. #1 = top recommendation.
Share of voice
0%
Of all named tools, what % are you?
Top rival
Google Gemini API
Recommended in 2 of 2 queries
COMPETITOR LEADERBOARD
  1. Google Gemini API · recommended 2×
  2. OpenAI API · recommended 1×
  3. Anthropic API · recommended 1×
  4. Mistral AI API · recommended 1×
  5. Hugging Face Inference API · recommended 1×
  • CATEGORY QUERY
    How can I quickly integrate a fast language model API into my Python application?
    you: not recommended
    AI recommended (in order):
    1. OpenAI API
    2. Anthropic API
    3. Google Gemini API
    4. Mistral AI API
    5. Hugging Face Inference API
    6. LiteLLM
    7. ollama

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

    Show full AI answer
  • CATEGORY QUERY
    Looking for examples and tutorials on implementing function calling with a large language model.
    you: not recommended
    AI recommended (in order):
    1. OpenAI
    2. LangChain (langchain-ai/langchain)
    3. Google Gemini API
    4. LlamaIndex (run-llama/llama_index)
    5. Anthropic Claude
    6. Hugging Face `transformers` Library (huggingface/transformers)
    7. AI Jason
    8. Prompt Engineering Guide

    AI recommended 8 alternatives but never named groq/groq-api-cookbook. 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-api-cookbook?
    pass
    AI did not name groq/groq-api-cookbook — 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 groq/groq-api-cookbook in production, what risks or prerequisites should they evaluate first?
    pass
    AI named groq/groq-api-cookbook 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-api-cookbook solve, and who is the primary audience?
    pass
    AI named groq/groq-api-cookbook 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
  • Prioritized action items8 vs 3 in Lite