RRepoGEO

REPOGEO REPORT · LITE

neurocult/agency

Default branch main · commit a1e4f35c · scanned 6/7/2026, 9:31:56 PM

GitHub: 508 stars · 36 forks

AI VISIBILITY SCORE
35 /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
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 neurocult/agency, 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 clarify 'agency' and project scope

    Why:

    CURRENT
    Library designed for developers eager to explore the potential of Large Language Models (LLMs) and other generative AI through a clean, effective, and Go-idiomatic approach.
    COPY-PASTE FIX
    Agency is a Go library for building robust, Go-idiomatic AI agents and applications powered by Large Language Models (LLMs) and other generative AI. It provides a clean, effective framework for developers to orchestrate complex AI workflows.
  • mediumcomparison#2
    Add a 'Why Agency?' or 'Comparison' section to the README

    Why:

    COPY-PASTE FIX
    ## Why Agency? 

While libraries like `go-openai` provide direct API access to LLMs, Agency is designed as an **agent-first framework** for building complex, Go-idiomatic AI applications. It helps you orchestrate LLM interactions, manage agent states, and implement advanced patterns like RAG and multimodal operations with a clean architecture, going beyond simple API calls.
  • lowhomepage#3
    Add a homepage URL to the repository metadata

    Why:

    COPY-PASTE FIX
    https://[your-project-documentation-url]

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 neurocult/agency
Avg rank
—
Lower is better. #1 = top recommendation.
Share of voice
0%
Of all named tools, what % are you?
Top rival
tmc/langchaingo
Recommended in 2 of 2 queries
COMPETITOR LEADERBOARD
  1. tmc/langchaingo · recommended 2×
  2. openai/openai-go · recommended 1×
  3. ollama/ollama-go · recommended 1×
  4. google-cloud-go/aiplatform · recommended 1×
  5. anthropic-ai/anthropic-go · recommended 1×
  • CATEGORY QUERY
    What are good Go libraries for integrating large language models into applications?
    you: not recommended
    AI recommended (in order):
    1. go-openai (openai/openai-go)
    2. go-ollama (ollama/ollama-go)
    3. google-cloud-go/aiplatform
    4. go-anthropic (anthropic-ai/anthropic-go)
    5. gollm (sashabaranov/gollm)
    6. langchaingo (tmc/langchaingo)

    AI recommended 6 alternatives but never named neurocult/agency. This is the gap to close.

    Show full AI answer
  • CATEGORY QUERY
    How can I build generative AI agents and RAG systems using Go?
    you: not recommended
    AI recommended (in order):
    1. Go-LLM/LLM-Go (go-llm/llm-go)
    2. LlamaIndex Go (run-llama/llama_index)
    3. OpenAI Go Library (sashabaranov/go-openai)
    4. pgvector-go (pgvector/pgvector-go)
    5. qdrant-go (qdrant/go-client)
    6. weaviate-go (weaviate/weaviate-go-client)
    7. Gorse (gorse/gorse)
    8. LangChain Go (tmc/langchaingo)

    AI recommended 8 alternatives but never named neurocult/agency. 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 neurocult/agency?
    pass
    AI named neurocult/agency explicitly

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

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

    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 neurocult/agency. 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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neurocult/agency — 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