RRepoGEO

REPOGEO REPORT · LITE

go-kratos/blades

Default branch main · commit b78fec59 · scanned 6/5/2026, 12:36:53 PM

GitHub: 786 stars · 97 forks

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 go-kratos/blades, 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 to clarify independence from Kratos microservice framework

    Why:

    CURRENT
    Blades is a multimodal AI Agent framework for the Go language, supporting custom models, tools, memory, middleware, etc. It is suitable for multi-turn conversations, chain-of-thought reasoning, and structured output, among other use cases.
    COPY-PASTE FIX
    Blades is a multimodal AI Agent framework for the Go language, supporting custom models, tools, memory, middleware, etc. It is suitable for multi-turn conversations, chain-of-thought reasoning, and structured output, among other use cases. Note: While developed by the go-kratos organization, Blades is a standalone AI agent framework and is not a component of the Kratos microservice framework.
  • mediumreadme#2
    Add a 'Comparison' section to the README

    Why:

    COPY-PASTE FIX
    ## Comparison with other Go AI Agent Frameworks

[Add a brief section here explaining how Blades differentiates itself from competitors like LangChain Go, Go-OpenAI, etc., focusing on its Go-idiomatic approach, specific features, or target use cases.]
  • lowtopics#3
    Add more specific topics to enhance categorization

    Why:

    CURRENT
    agent, agent-framework, agent-kit, agent-sdk, agent-workflow, ai, golang, llm, multi-agent, studio, workflow
    COPY-PASTE FIX
    agent, agent-framework, agent-kit, agent-sdk, agent-workflow, ai, golang, llm, multi-agent, studio, workflow, multimodal-ai, conversational-ai, tool-use

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 go-kratos/blades
Avg rank
—
Lower is better. #1 = top recommendation.
Share of voice
0%
Of all named tools, what % are you?
Top rival
LangChain Go
Recommended in 1 of 2 queries
COMPETITOR LEADERBOARD
  1. LangChain Go · recommended 1×
  2. Go-OpenAI · recommended 1×
  3. Go-Google-GenerativeAI · recommended 1×
  4. Temporal · recommended 1×
  5. Cadence · recommended 1×
  • CATEGORY QUERY
    What are the best Go frameworks for building multimodal AI agents and workflows?
    you: not recommended
    AI recommended (in order):
    1. LangChain Go
    2. Go-OpenAI
    3. Go-Google-GenerativeAI
    4. Temporal
    5. Cadence
    6. Gorgonia
    7. Echo
    8. Gin
    9. Fiber

    AI recommended 9 alternatives but never named go-kratos/blades. This is the gap to close.

    Show full AI answer
  • CATEGORY QUERY
    Looking for a Go library to implement multi-turn conversational AI with custom tools.
    you: not recommended
    AI recommended (in order):
    1. LangChain Go (tmc/langchaingo)
    2. OpenAI Go SDK (sashabaranov/go-openai)
    3. gollm (gollm/gollm)
    4. llama.cpp (ggerganov/llama.cpp)
    5. go-llama.cpp (go-skynet/go-llama.cpp)
    6. go-gpt4all (go-skynet/go-gpt4all)

    AI recommended 6 alternatives but never named go-kratos/blades. 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 go-kratos/blades?
    pass
    AI named go-kratos/blades explicitly

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

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

    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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