REPOGEO REPORT · LITE

steamship-core/steamship-langchain

Default branch main · commit 47ccc092 · scanned 6/16/2026, 10:26:52 AM

GitHub: 510 stars · 91 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 steamship-core/steamship-langchain, 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

langchain, llm-deployment, ai-platform, serverless, stateful-apis, python, steamship, api-management

highreadme#2

Clarify the README's opening to emphasize deployment platform capabilities

Why:

CURRENT

Steamship is the fastest way to build, ship, and use full-lifecycle language AI. This repository contains LangChain adapters for Steamship, enabling LangChain developers to rapidly deploy their apps on Steamship to automatically get: Production-ready API endpoint(s)...

COPY-PASTE FIX

This repository provides LangChain adapters for Steamship, a powerful platform for deploying, scaling, and managing your LangChain applications. Leverage Steamship to automatically get production-ready API endpoints, horizontal scaling, persistent storage, and multi-tenancy for your LLM apps.

highabout#3

Update the repository description to be more informative

Why:

CURRENT

steamship-langchain

COPY-PASTE FIX

Deploy, scale, and manage LangChain applications on Steamship. Get production-ready APIs, persistent state, and multi-tenancy for your LLM apps.

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 steamship-core/steamship-langchain

Avg rank

—

Lower is better. #1 = top recommendation.

Share of voice

Of all named tools, what % are you?

Top rival

AWS SageMaker

Recommended in 2 of 2 queries

COMPETITOR LEADERBOARD

AWS SageMaker · recommended 2×
Google Cloud Vertex AI · recommended 2×
Azure Machine Learning · recommended 2×
Hugging Face Inference Endpoints · recommended 2×
Vercel · recommended 1×

CATEGORY QUERY
What are the best platforms for deploying and managing large language model applications?
you: not recommended
AI recommended (in order):
1. AWS SageMaker
2. Google Cloud Vertex AI
3. Azure Machine Learning
4. Hugging Face Inference Endpoints
5. Vercel
6. Replicate
7. Anyscale
AI recommended 7 alternatives but never named steamship-core/steamship-langchain. This is the gap to close.
Show full AI answer
CATEGORY QUERY
How can I add production-grade API, scaling, and state management to my AI applications?
you: not recommended
AI recommended (in order):
1. Kubernetes (kubernetes/kubernetes)
2. Kubeflow (kubeflow/kubeflow)
3. AWS SageMaker
4. Google Cloud Vertex AI
5. Azure Machine Learning
6. Ray Serve (ray-project/ray)
7. MLflow (mlflow/mlflow)
8. FastAPI (tiangolo/fastapi)
9. Flask (pallets/flask)
10. Docker
11. Podman (containers/podman)
12. Hugging Face Inference Endpoints
AI recommended 12 alternatives but never named steamship-core/steamship-langchain. 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 steamship-core/steamship-langchain?
pass
AI did not name steamship-core/steamship-langchain — 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 steamship-core/steamship-langchain in production, what risks or prerequisites should they evaluate first?
pass
AI named steamship-core/steamship-langchain 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 steamship-core/steamship-langchain solve, and who is the primary audience?
pass
AI did not name steamship-core/steamship-langchain — 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 steamship-core/steamship-langchain. 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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MARKDOWN (README)

[![RepoGEO](https://repogeo.com/badge/steamship-core/steamship-langchain.svg)](https://repogeo.com/en/r/steamship-core/steamship-langchain)

HTML

<a href="https://repogeo.com/en/r/steamship-core/steamship-langchain"><img src="https://repogeo.com/badge/steamship-core/steamship-langchain.svg" alt="RepoGEO" /></a>

Pro

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steamship-core/steamship-langchain — 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