RRepoGEO

REPOGEO REPORT · LITE

wassim249/fastapi-langgraph-agent-production-ready-template

Default branch master · commit d97f375a · scanned 5/30/2026, 2:26:56 AM

GitHub: 2,326 stars · 540 forks

AI VISIBILITY SCORE
22 /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
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 wassim249/fastapi-langgraph-agent-production-ready-template, 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 the README H1 and first sentence to emphasize 'full backend service template'

    Why:

    CURRENT
    # FastAPI LangGraph Agent Template

A production-ready template for building AI agent backends with FastAPI and LangGraph.
    COPY-PASTE FIX
    # Production-Ready FastAPI LangGraph Agent Backend Template

A comprehensive, production-ready template for building complete AI agent backend *services* with FastAPI and LangGraph, providing a full-stack foundation for your agent application.
  • highabout#2
    Add a homepage URL to the repository's About section

    Why:

    COPY-PASTE FIX
    https://github.com/wassim249/fastapi-langgraph-agent-production-ready-template
  • mediumtopics#3
    Add more specific topics emphasizing 'template', 'backend', and 'service'

    Why:

    CURRENT
    agent, agentic-ai, docker, fastapi, fastapi-template, langchain, langchain-python, langgraph, langgraph-python, llm, memory
    COPY-PASTE FIX
    agent, agentic-ai, docker, fastapi, fastapi-template, langchain, langchain-python, langgraph, langgraph-python, llm, memory, ai-backend, production-template, agent-service, llm-ops, api-template

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 wassim249/fastapi-langgraph-agent-production-ready-template
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. Pinecone · recommended 1×
  3. Weaviate · recommended 1×
  4. ChromaDB · recommended 1×
  5. Redis · recommended 1×
  • CATEGORY QUERY
    How to build a scalable backend for AI agents with stateful conversations and long-term memory?
    you: not recommended
    AI recommended (in order):
    1. LangChain
    2. Pinecone
    3. Weaviate
    4. ChromaDB
    5. Redis
    6. LlamaIndex
    7. Microsoft Semantic Kernel
    8. Azure AI Search
    9. Azure Cosmos DB
    10. Azure Cache for Redis
    11. OpenAI Assistants API
    12. Haystack
    13. Elasticsearch
    14. OpenSearch
    15. Qdrant
    16. FastAPI
    17. Node.js
    18. Express
    19. NestJS
    20. PostgreSQL
    21. pgvector
    22. MongoDB
    23. Milvus
    24. Faiss

    AI recommended 24 alternatives but never named wassim249/fastapi-langgraph-agent-production-ready-template. This is the gap to close.

    Show full AI answer
  • CATEGORY QUERY
    Looking for a robust template to develop AI agent services with integrated security and observability.
    you: not recommended
    AI recommended (in order):
    1. Microsoft Azure AI Studio
    2. Azure Machine Learning
    3. Azure Kubernetes Service (AKS)
    4. Google Cloud Vertex AI
    5. Google Kubernetes Engine (GKE)
    6. AWS SageMaker
    7. Amazon Elastic Kubernetes Service (EKS)
    8. Kubeflow (kubeflow/kubeflow)
    9. Istio (istio/istio)
    10. MLflow (mlflow/mlflow)
    11. FastAPI (tiangolo/fastapi)
    12. Prometheus (prometheus/prometheus)
    13. Grafana (grafana/grafana)
    14. Cortex.dev (cortexlabs/cortex)

    AI recommended 14 alternatives but never named wassim249/fastapi-langgraph-agent-production-ready-template. 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 wassim249/fastapi-langgraph-agent-production-ready-template?
    pass
    AI did not name wassim249/fastapi-langgraph-agent-production-ready-template — 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 wassim249/fastapi-langgraph-agent-production-ready-template in production, what risks or prerequisites should they evaluate first?
    pass
    AI named wassim249/fastapi-langgraph-agent-production-ready-template 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 wassim249/fastapi-langgraph-agent-production-ready-template solve, and who is the primary audience?
    pass
    AI did not name wassim249/fastapi-langgraph-agent-production-ready-template — 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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  • Brand-free category queries5 vs 2 in Lite
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