RRepoGEO

REPOGEO REPORT · LITE

build-with-groq/g1

Default branch main · commit 854e6944 · scanned 5/14/2026, 4:22:52 AM

GitHub: 4,186 stars · 360 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 build-with-groq/g1, 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
    Update repository topics to reflect core purpose

    Why:

    CURRENT
    managed-by-terraform
    COPY-PASTE FIX
    llm-reasoning, chain-of-thought, prompting, groq, llama3-1, open-source-llm, visualization
  • highreadme#2
    Strengthen README's opening sentence to emphasize LLM reasoning

    Why:

    CURRENT
    # g1: Using Llama-3.1 70b on Groq to create o1-like reasoning chains
    COPY-PASTE FIX
    # g1: An experimental open-source project demonstrating advanced LLM reasoning chains via prompting Llama-3.1 70b on Groq.
  • mediumhomepage#3
    Add a homepage URL to the repository metadata

    Why:

    COPY-PASTE FIX
    https://[YOUR_PROJECT_HOMEPAGE_URL_HERE]

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 build-with-groq/g1
Avg rank
Lower is better. #1 = top recommendation.
Share of voice
0%
Of all named tools, what % are you?
Top rival
LangChain
Recommended in 2 of 2 queries
COMPETITOR LEADERBOARD
  1. LangChain · recommended 2×
  2. Guidance · recommended 2×
  3. LlamaIndex · recommended 2×
  4. Weights & Biases Prompts · recommended 1×
  5. PromptLayer · recommended 1×
  • CATEGORY QUERY
    What tools help improve large language model reasoning through prompting and visualization?
    you: not recommended
    AI recommended (in order):
    1. LangChain
    2. Weights & Biases Prompts
    3. PromptLayer
    4. OpenAI Playground / Azure OpenAI Studio
    5. Humanloop
    6. Guidance
    7. LlamaIndex

    AI recommended 7 alternatives but never named build-with-groq/g1. This is the gap to close.

    Show full AI answer
  • CATEGORY QUERY
    Seeking open source frameworks for developing LLMs with transparent, step-by-step reasoning.
    you: not recommended
    AI recommended (in order):
    1. LangChain
    2. LlamaIndex
    3. Haystack (deepset/Haystack)
    4. Transformers
    5. DSPy
    6. Guidance

    AI recommended 6 alternatives but never named build-with-groq/g1. 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 build-with-groq/g1?
    pass
    AI named build-with-groq/g1 explicitly

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

  • If a team adopts build-with-groq/g1 in production, what risks or prerequisites should they evaluate first?
    pass
    AI named build-with-groq/g1 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 build-with-groq/g1 solve, and who is the primary audience?
    pass
    AI did not name build-with-groq/g1 — 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?

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  • Brand-free category queries5 vs 2 in Lite
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