RRepoGEO

REPOGEO REPORT · LITE

a16z-infra/companion-app

Default branch main · commit a50c9371 · scanned 6/26/2026, 7:18:07 AM

GitHub: 5,960 stars · 956 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)

3 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 a16z-infra/companion-app, 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
    ai-companions, chatbot, llm, tutorial, stack, memory, personalization, replicate, generative-ai
  • highreadme#2
    Reposition the README's main heading to clearly state its purpose

    Why:

    CURRENT
    # AI Companion App (based on AI Getting Started template)
    COPY-PASTE FIX
    # AI Companion Tutorial Stack: Build Your Own Personalized AI Chatbots with Memory
  • mediumreadme#3
    Emphasize 'tutorial' and 'starter stack' in the README's introductory paragraph

    Why:

    CURRENT
    This is a tutorial stack to create and host AI companions that you can chat with on a browser or text via SMS. It allows you to determine the personality and backstory of your companion, and uses a vector database with similarity search to retrieve and prompt so the conversations have more depth. It also provides some conversational memory by keeping the conversation in a queue and including it in the prompt.
    COPY-PASTE FIX
    This project serves as a developer tutorial and starter stack to create and host AI companions that you can chat with on a browser or text via SMS. It allows you to determine the personality and backstory of your companion, and uses a vector database with similarity search to retrieve and prompt so the conversations have more depth. It also provides some conversational memory by keeping the conversation in a queue and including it in the prompt.

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/companion-app
Avg rank
Lower is better. #1 = top recommendation.
Share of voice
0%
Of all named tools, what % are you?
Top rival
OpenAI API
Recommended in 1 of 2 queries
COMPETITOR LEADERBOARD
  1. OpenAI API · recommended 1×
  2. LangChain · recommended 1×
  3. Google Cloud Dialogflow CX · recommended 1×
  4. Hugging Face Transformers · recommended 1×
  5. Rasa · recommended 1×
  • CATEGORY QUERY
    How can I build a custom AI chatbot with a defined personality and conversational memory?
    you: not recommended
    AI recommended (in order):
    1. OpenAI API
    2. LangChain
    3. Google Cloud Dialogflow CX
    4. Hugging Face Transformers
    5. Rasa

    AI recommended 5 alternatives but never named a16z-infra/companion-app. This is the gap to close.

    Show full AI answer
  • CATEGORY QUERY
    Seeking a lightweight stack to host my own AI companion for personalized interactions.
    you: not recommended
    AI recommended (in order):
    1. Mycroft AI (MycroftAI/mycroft-core)
    2. Rhasspy (rhasspy/rhasspy)
    3. OpenAssistant (LAION-AI/Open-Assistant)
    4. Home Assistant (home-assistant/core)
    5. GPT4All (nomic-ai/gpt4all)
    6. Ollama (ollama/ollama)

    AI recommended 6 alternatives but never named a16z-infra/companion-app. 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 a16z-infra/companion-app?
    pass
    AI did not name a16z-infra/companion-app — 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/companion-app in production, what risks or prerequisites should they evaluate first?
    pass
    AI named a16z-infra/companion-app 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/companion-app solve, and who is the primary audience?
    pass
    AI named a16z-infra/companion-app explicitly

    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/companion-app — Lite scans stay free; this card itemizes Pro deep limits vs Lite.

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  • Brand-free category queries5 vs 2 in Lite
  • Prioritized action items8 vs 3 in Lite