RRepoGEO

REPOGEO REPORT · LITE

tmc/langchaingo

Default branch main · commit 8fea3de6 · scanned 6/30/2026, 1:46:51 AM

GitHub: 9,466 stars · 1,111 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
71 /100
Needs work
Category recall
1 / 2
Avg rank #2.0 when recommended
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 tmc/langchaingo, 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 'generative AI application framework'

    Why:

    CURRENT
    ⚡ Building applications with LLMs through composability, with Go! ⚡
    COPY-PASTE FIX
    ⚡ The Go framework for building powerful generative AI applications with LLMs through composability! ⚡
  • mediumtopics#2
    Add more specific topics related to generative AI frameworks

    Why:

    CURRENT
    ai, go, golang, langchain
    COPY-PASTE FIX
    ai, go, golang, langchain, generative-ai, llm-framework
  • lowreadme#3
    Expand the 'What is this?' section in the README

    Why:

    CURRENT
    ## 🤔 What is this?

This is the Go language implementation of LangChain.
    COPY-PASTE FIX
    ## 🤔 What is this?

This is the Go language implementation of LangChain, providing a robust and idiomatic toolkit for building complex applications powered by large language models (LLMs). It enables developers to easily compose various LLM components, chains, and agents in Go.

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
1 / 2
50% of queries surface tmc/langchaingo
Avg rank
#2.0
Lower is better. #1 = top recommendation.
Share of voice
8%
Of all named tools, what % are you?
Top rival
Go-OpenAI/openai-go
Recommended in 1 of 2 queries
COMPETITOR LEADERBOARD
  1. Go-OpenAI/openai-go · recommended 1×
  2. google/generative-ai-go · recommended 1×
  3. sashabaranov/go-openai · recommended 1×
  4. ollama/ollama-go · recommended 1×
  5. LocalAI · recommended 1×
  • CATEGORY QUERY
    What Go library helps integrate large language models into applications?
    you: #2
    AI recommended (in order):
    1. Go-OpenAI/openai-go (Go-OpenAI/openai-go)
    2. tmc/langchaingo (tmc/langchaingo) ← you
    3. google/generative-ai-go (google/generative-ai-go)
    4. sashabaranov/go-openai (sashabaranov/go-openai)
    5. ollama/ollama-go (ollama/ollama-go)
    Show full AI answer
  • CATEGORY QUERY
    Seeking a framework for building generative AI applications using the Go language.
    you: not recommended
    AI recommended (in order):
    1. LocalAI
    2. Go-LLM
    3. Gollum
    4. OpenAI Go Library
    5. Go-Torch
    6. TensorFlow Go
    7. ONNX Runtime Go

    AI recommended 7 alternatives but never named tmc/langchaingo. 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 tmc/langchaingo?
    pass
    AI named tmc/langchaingo explicitly

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

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

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

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tmc/langchaingo — 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