RRepoGEO

REPOGEO REPORT · LITE

replicate/llama-chat

Default branch main · commit 31b2a7f2 · scanned 6/9/2026, 8:23:16 AM

GitHub: 836 stars · 302 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 replicate/llama-chat, 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

2 prioritized changes generated by gemini-2.5-flash. Mark items done after you ship the fix.

OVERALL DIRECTION
  • highreadme#1
    Reposition README opening to highlight Next.js template for streaming AI chat

    Why:

    CURRENT
    This is a Next.js app that demonstrates how to build a chat UI using the Llama 3 language model and Replicate's streaming API (private beta).
    COPY-PASTE FIX
    This is a Next.js **template** for building a **streaming AI chat interface** with the Llama 3 language model, powered by Replicate's API. It provides a ready-to-use boilerplate for developers to quickly integrate Llama 3 into their web applications.
  • mediumreadme#2
    Add a 'Why use this?' section to the README

    Why:

    COPY-PASTE FIX
    ## Why use this template?

This template is designed for developers who want to quickly build and deploy a Llama 3 chat application without starting from scratch. It handles the UI, API integration with Replicate's streaming service, and provides a clear structure for customization, saving significant development time.

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 replicate/llama-chat
Avg rank
—
Lower is better. #1 = top recommendation.
Share of voice
0%
Of all named tools, what % are you?
Top rival
Streamlit
Recommended in 1 of 2 queries
COMPETITOR LEADERBOARD
  1. Streamlit · recommended 1×
  2. Gradio · recommended 1×
  3. LangChain · recommended 1×
  4. Flask · recommended 1×
  5. FastAPI · recommended 1×
  • CATEGORY QUERY
    How can I quickly develop a chat interface using a large language model?
    you: not recommended
    AI recommended (in order):
    1. Streamlit
    2. Gradio
    3. LangChain
    4. Flask
    5. FastAPI
    6. Next.js
    7. Vercel AI SDK
    8. OpenAI Playground
    9. Hugging Face Spaces

    AI recommended 9 alternatives but never named replicate/llama-chat. This is the gap to close.

    Show full AI answer
  • CATEGORY QUERY
    Looking for a Next.js template to integrate a streaming AI chat experience.
    you: not recommended
    AI recommended (in order):
    1. Vercel AI SDK (vercel/ai)
    2. shadcn/ui (shadcn/ui)
    3. Next.js AI Chatbot Template by @steven-tey (steven-tey/ai-chatbot)
    4. create-t3-app (t3-oss/create-t3-app)
    5. create-next-app (vercel/next.js)

    AI recommended 5 alternatives but never named replicate/llama-chat. 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 replicate/llama-chat?
    pass
    AI named replicate/llama-chat explicitly

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

  • If a team adopts replicate/llama-chat in production, what risks or prerequisites should they evaluate first?
    pass
    AI named replicate/llama-chat 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 replicate/llama-chat solve, and who is the primary audience?
    pass
    AI did not name replicate/llama-chat — 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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  • Deep reports10 / month
  • Brand-free category queries5 vs 2 in Lite
  • Prioritized action items8 vs 3 in Lite