RRepoGEO

REPOGEO REPORT · LITE

agentlabs-dev/agentlabs

Default branch main · commit 39eb66fe · scanned 6/10/2026, 2:28:00 AM

GitHub: 550 stars · 53 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
40 /100
Critical
Category recall
0 / 2
Not recommended in any query
Rule findings
2 pass · 0 warn · 0 fail
Objective metadata checks
AI knows your name
3 / 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 agentlabs-dev/agentlabs, 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
  • highreadme#1
    Reposition README opening to emphasize complete platform for AI agents

    Why:

    CURRENT
    Open-source universal frontend for your AI Agents that you can control with a realtime bidirectional streaming SDK from your backend.
    COPY-PASTE FIX
    AgentLabs is the **complete, open-source frontend platform** for your AI Agents. It provides an Authentication Portal, a production-ready Chat UI, and built-in Analytics and Payment features, allowing you to ship your AI Agents to public users in a snap. Focus on your AI Agent backend, we handle the rest for you.
  • mediumtopics#2
    Expand topics to include specific AI agent frontend and platform terms

    Why:

    CURRENT
    ai-agents, ai-agents-framework, analytics, authentication
    COPY-PASTE FIX
    ai-agents, ai-agents-framework, analytics, authentication, ai-agent-frontend, chat-ui, agent-deployment, user-facing-ai, ai-platform, generative-ai, llm-apps
  • lowcomparison#3
    Add a 'Why AgentLabs?' or 'Comparison' section to the README

    Why:

    COPY-PASTE FIX
    Add a new section titled 'Why AgentLabs?' or 'Comparison to Alternatives' that explains how AgentLabs provides a complete, opinionated frontend solution for AI agents, unlike generic UI libraries (e.g., Streamlit, Gradio) or backend-focused AI frameworks (e.g., LangChain, LlamaIndex) which require significant integration effort for a production-ready user interface, authentication, and analytics.

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 agentlabs-dev/agentlabs
Avg rank
—
Lower is better. #1 = top recommendation.
Share of voice
0%
Of all named tools, what % are you?
Top rival
nextauthjs/next-auth
Recommended in 2 of 2 queries
COMPETITOR LEADERBOARD
  1. nextauthjs/next-auth · recommended 2×
  2. streamlit/streamlit · recommended 2×
  3. gradio-app/gradio · recommended 2×
  4. vercel/next.js · recommended 1×
  5. harris-siddiqui/streamlit-authenticator · recommended 1×
  • CATEGORY QUERY
    What's a good open-source frontend for deploying AI agents with user authentication?
    you: not recommended
    AI recommended (in order):
    1. Next.js (vercel/next.js)
    2. NextAuth.js (nextauthjs/next-auth)
    3. Streamlit (streamlit/streamlit)
    4. streamlit-authenticator (harris-siddiqui/streamlit-authenticator)
    5. Gradio (gradio-app/gradio)
    6. Nginx
    7. nginx-auth-request
    8. React (facebook/react)
    9. Create React App (facebook/create-react-app)
    10. Vite (vitejs/vite)
    11. Firebase Authentication
    12. Vue.js (vuejs/core)
    13. Nuxt.js (nuxt/nuxt)
    14. @nuxtjs/auth-next (nuxt-community/auth-module)
    15. Svelte (sveltejs/svelte)
    16. SvelteKit (sveltejs/kit)
    17. Auth.js (nextauthjs/next-auth)
    18. Supabase Auth (supabase/supabase)

    AI recommended 18 alternatives but never named agentlabs-dev/agentlabs. This is the gap to close.

    Show full AI answer
  • CATEGORY QUERY
    How to quickly build a user-facing AI agent application with built-in analytics and chat UI?
    you: not recommended
    AI recommended (in order):
    1. Voiceflow
    2. Botpress (Botpress/botpress)
    3. LangChain (langchain-ai/langchain)
    4. Streamlit (streamlit/streamlit)
    5. Gradio (gradio-app/gradio)
    6. Google Dialogflow CX
    7. Microsoft Bot Framework Composer (microsoft/BotFramework-Composer)
    8. Azure Bot Service

    AI recommended 8 alternatives but never named agentlabs-dev/agentlabs. This is the gap to close.

    Show full AI answer

Objective checks

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

  • Metadata completeness
    pass

  • 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 agentlabs-dev/agentlabs?
    pass
    AI named agentlabs-dev/agentlabs explicitly

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

  • If a team adopts agentlabs-dev/agentlabs in production, what risks or prerequisites should they evaluate first?
    pass
    AI named agentlabs-dev/agentlabs 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 agentlabs-dev/agentlabs solve, and who is the primary audience?
    pass
    AI named agentlabs-dev/agentlabs explicitly

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

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agentlabs-dev/agentlabs — 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