RRepoGEO

REPOGEO REPORT · LITE

SAGAR-TAMANG/friday-tony-stark-demo

Default branch main · commit 28b2b1e0 · scanned 5/27/2026, 12:32:52 PM

GitHub: 1,060 stars · 337 forks

AI VISIBILITY SCORE
10 /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
0 / 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 SAGAR-TAMANG/friday-tony-stark-demo, 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 improve categorization

    Why:

    COPY-PASTE FIX
    ai-assistant, voice-assistant, llm, real-time, demo, python, livekit, fastapi, sse, tony-stark, friday
  • highlicense#2
    Add a LICENSE file to clarify usage rights

    Why:

    COPY-PASTE FIX
    Create a LICENSE file in the repository root, for example, with the MIT License text.
  • highreadme#3
    Clarify the README's opening to emphasize it's a developer demo

    Why:

    CURRENT
    # F.R.I.D.A.Y. — Tony Stark Demo

> *"Fully Responsive Intelligent Digital Assistant for You"*

A Tony Stark-inspired AI assistant split into two cooperating pieces:
    COPY-PASTE FIX
    # F.R.I.D.A.Y. — Tony Stark Demo: A Real-time Voice AI Assistant Example

> *"Fully Responsive Intelligent Digital Assistant for You"*

This repository is a **fully functional demonstration** of a Tony Stark-inspired AI assistant, designed for developers to explore real-time voice agent capabilities and tool execution. It's split into two cooperating pieces:

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 SAGAR-TAMANG/friday-tony-stark-demo
Avg rank
—
Lower is better. #1 = top recommendation.
Share of voice
0%
Of all named tools, what % are you?
Top rival
LangChain
Recommended in 1 of 2 queries
COMPETITOR LEADERBOARD
  1. LangChain · recommended 1×
  2. LlamaIndex · recommended 1×
  3. Microsoft Semantic Kernel · recommended 1×
  4. Haystack · recommended 1×
  5. OpenAI Assistants API · recommended 1×
  • CATEGORY QUERY
    How to build a voice-activated AI assistant with real-time tool execution capabilities?
    you: not recommended
    Show full AI answer
  • CATEGORY QUERY
    What are frameworks for creating conversational AI agents with external tool access?
    you: not recommended
    AI recommended (in order):
    1. LangChain
    2. LlamaIndex
    3. Microsoft Semantic Kernel
    4. Haystack
    5. OpenAI Assistants API
    6. Agent Protocol
    7. AutoGPT
    8. BabyAGI

    AI recommended 8 alternatives but never named SAGAR-TAMANG/friday-tony-stark-demo. 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 SAGAR-TAMANG/friday-tony-stark-demo?
    pass
    AI did not name SAGAR-TAMANG/friday-tony-stark-demo — 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 SAGAR-TAMANG/friday-tony-stark-demo in production, what risks or prerequisites should they evaluate first?
    pass
    AI did not name SAGAR-TAMANG/friday-tony-stark-demo — 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?

  • In one sentence, what problem does the repo SAGAR-TAMANG/friday-tony-stark-demo solve, and who is the primary audience?
    pass
    AI did not name SAGAR-TAMANG/friday-tony-stark-demo — 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?

Embed your GEO score

Drop this badge into the README of SAGAR-TAMANG/friday-tony-stark-demo. It auto-updates whenever the report is rescanned and links back to the latest report — easy public proof that you care about AI discoverability.

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