RRepoGEO

REPOGEO REPORT · LITE

a16z-infra/llama2-chatbot

Default branch main · commit ce220126 · scanned 5/22/2026, 9:38:07 PM

GitHub: 1,412 stars · 222 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
17 /100
Critical
Category recall
0 / 2
Not recommended in any query
Rule findings
1 pass · 0 warn · 1 fail
Objective metadata checks
AI knows your name
1 / 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 a16z-infra/llama2-chatbot, 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
    llama2, chatbot, llm, streamlit, replicate, a16z-infra, python, conversational-ai, reference-architecture
  • highlicense#2
    Add a LICENSE file to the repository

    Why:

    CURRENT
    (no LICENSE file detected — the repo has no recognizable license)
    COPY-PASTE FIX
    Create a LICENSE file in the repository root. Consult legal counsel to determine the appropriate license (e.g., MIT, Apache-2.0) for this application's code, distinct from the LLaMA2 model's license.
  • mediumhomepage#3
    Add the live demo URL as the repository homepage

    Why:

    COPY-PASTE FIX
    LLaMA2.ai

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 a16z-infra/llama2-chatbot
Avg rank
—
Lower is better. #1 = top recommendation.
Share of voice
0%
Of all named tools, what % are you?
Top rival
Gradio
Recommended in 1 of 2 queries
COMPETITOR LEADERBOARD
  1. Gradio · recommended 1×
  2. Streamlit · recommended 1×
  3. Panel · recommended 1×
  4. NiceGUI · recommended 1×
  5. FastAPI · recommended 1×
  • CATEGORY QUERY
    How to quickly build a web UI for interacting with large language models?
    you: not recommended
    AI recommended (in order):
    1. Gradio
    2. Streamlit
    3. Panel
    4. NiceGUI
    5. FastAPI
    6. HTMX
    7. Next.js
    8. Vercel AI SDK

    AI recommended 8 alternatives but never named a16z-infra/llama2-chatbot. This is the gap to close.

    Show full AI answer
  • CATEGORY QUERY
    What are options for deploying a conversational AI application with customizable parameters?
    you: not recommended
    AI recommended (in order):
    1. Google Dialogflow ES / CX
    2. Rasa
    3. Microsoft Bot Framework Composer / Azure Bot Service
    4. Amazon Lex
    5. OpenAI GPT
    6. Voiceflow

    AI recommended 6 alternatives but never named a16z-infra/llama2-chatbot. This is the gap to close.

    Show full AI answer

Objective checks

Rule-based audits of metadata signals AI engines weight most.

  • Metadata completeness
    fail

    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 a16z-infra/llama2-chatbot?
    pass
    AI did not name a16z-infra/llama2-chatbot — 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 a16z-infra/llama2-chatbot in production, what risks or prerequisites should they evaluate first?
    pass
    AI named a16z-infra/llama2-chatbot 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 a16z-infra/llama2-chatbot solve, and who is the primary audience?
    pass
    AI did not name a16z-infra/llama2-chatbot — 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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a16z-infra/llama2-chatbot — 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