RRepoGEO

REPOGEO REPORT · LITE

JoshuaC215/agent-service-toolkit

Default branch main · commit 5b3945f4 · scanned 5/17/2026, 4:03:42 AM

GitHub: 4,264 stars · 701 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 JoshuaC215/agent-service-toolkit, 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 'full-stack template' for LangGraph agents

    Why:

    CURRENT
    A full toolkit for running an AI agent service built with LangGraph, FastAPI and Streamlit.
    COPY-PASTE FIX
    A comprehensive, full-stack template and toolkit for building and deploying AI agent services with LangGraph, FastAPI, and Streamlit.
  • mediumtopics#2
    Add more specific topics to improve categorization

    Why:

    CURRENT
    agents, langgraph, streamlit
    COPY-PASTE FIX
    agents, langgraph, streamlit, fastapi, template, full-stack, ai-agent-template
  • lowabout#3
    Refine the repository description for consistency and clarity

    Why:

    CURRENT
    Full toolkit for running an AI agent service built with LangGraph, FastAPI and Streamlit
    COPY-PASTE FIX
    A comprehensive, full-stack template and toolkit for building and deploying AI agent services with LangGraph, FastAPI, and Streamlit

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 JoshuaC215/agent-service-toolkit
Avg rank
Lower is better. #1 = top recommendation.
Share of voice
0%
Of all named tools, what % are you?
Top rival
streamlit/streamlit
Recommended in 2 of 2 queries
COMPETITOR LEADERBOARD
  1. streamlit/streamlit · recommended 2×
  2. tiangolo/fastapi · recommended 2×
  3. run-llama/llama_index · recommended 2×
  4. gradio-app/gradio · recommended 2×
  5. pallets/flask · recommended 2×
  • CATEGORY QUERY
    How to build and deploy an AI agent with a chat interface and web service?
    you: not recommended
    AI recommended (in order):
    1. LangChain (langchain-ai/langchain)
    2. OpenAI API
    3. Streamlit (streamlit/streamlit)
    4. FastAPI (tiangolo/fastapi)
    5. Vercel
    6. Render
    7. LlamaIndex (run-llama/llama_index)
    8. Gradio (gradio-app/gradio)
    9. Flask (pallets/flask)
    10. AWS EC2
    11. Google Cloud Run
    12. Microsoft Semantic Kernel (microsoft/semantic-kernel)
    13. Azure OpenAI Service
    14. ASP.NET Core (dotnet/aspnetcore)
    15. Azure App Service
    16. Haystack (deepset-ai/haystack)
    17. Hugging Face Transformers (huggingface/transformers)
    18. Dash (plotly/dash)
    19. Django (django/django)
    20. DigitalOcean App Platform
    21. React (facebook/react)
    22. Vue.js (vuejs/vue)
    23. Docker (docker/docker-ce)
    24. Kubernetes (kubernetes/kubernetes)

    AI recommended 24 alternatives but never named JoshuaC215/agent-service-toolkit. This is the gap to close.

    Show full AI answer
  • CATEGORY QUERY
    Seeking a full-stack template for developing LangGraph-based AI agents with a UI.
    you: not recommended
    AI recommended (in order):
    1. LangChain Templates
    2. Streamlit (streamlit/streamlit)
    3. Gradio (gradio-app/gradio)
    4. Next.js (vercel/next.js)
    5. LangChain.js (langchain-ai/langchainjs)
    6. FastAPI (tiangolo/fastapi)
    7. Flask (pallets/flask)
    8. React (facebook/react)
    9. Vue.js (vuejs/core)
    10. Svelte (sveltejs/svelte)
    11. LlamaIndex (run-llama/llama_index)
    12. Chainlit (Chainlit/chainlit)
    13. Panel (holoviz/panel)

    AI recommended 13 alternatives but never named JoshuaC215/agent-service-toolkit. 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 JoshuaC215/agent-service-toolkit?
    pass
    AI named JoshuaC215/agent-service-toolkit explicitly

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

  • If a team adopts JoshuaC215/agent-service-toolkit in production, what risks or prerequisites should they evaluate first?
    pass
    AI named JoshuaC215/agent-service-toolkit 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 JoshuaC215/agent-service-toolkit solve, and who is the primary audience?
    pass
    AI named JoshuaC215/agent-service-toolkit explicitly

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

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JoshuaC215/agent-service-toolkit — 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