RRepoGEO

REPOGEO REPORT · LITE

AgentDock/AgentDock

Default branch main · commit f4a4603c · scanned 5/26/2026, 9:06:57 PM

GitHub: 1,641 stars · 112 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 AgentDock/AgentDock, 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's introductory sentence to emphasize open-source orchestration and multi-agent workflows

    Why:

    CURRENT
    AgentDock is a framework for building sophisticated AI agents that deliver complex tasks with **configurable determinism**.
    COPY-PASTE FIX
    AgentDock is an open-source, backend-first framework for building, deploying, and orchestrating sophisticated AI agents and complex multi-agent workflows with **configurable determinism**.
  • mediumtopics#2
    Expand repository topics to include orchestration and multi-agent system terms

    Why:

    CURRENT
    agentic-ai, agentic-framework, ai-agents, llm, natural-language-inference, nextjs, typescript, workflows
    COPY-PASTE FIX
    agentic-ai, agentic-framework, ai-agents, llm, natural-language-inference, nextjs, typescript, workflows, agent-orchestration, multi-agent-systems, ai-workflow-engine
  • lowreadme#3
    Clarify AgentDock Core's explicit capability for managing complex workflows

    Why:

    CURRENT
    AgentDock Core: An open-source, backend-first framework for building and deploying AI agents.
    COPY-PASTE FIX
    AgentDock Core: An open-source, backend-first framework for building, deploying, and managing complex AI agent workflows.

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 AgentDock/AgentDock
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. LlamaIndex · recommended 1×
  3. Haystack by deepset · recommended 1×
  4. AutoGen by Microsoft Research · recommended 1×
  5. OpenAI Assistants API · recommended 1×
  • CATEGORY QUERY
    What are the best open-source frameworks for building reliable and predictable AI agents?
    you: not recommended
    AI recommended (in order):
    1. LangChain
    2. LlamaIndex
    3. Haystack by deepset
    4. AutoGen by Microsoft Research
    5. OpenAI Assistants API
    6. Rasa
    7. Transformers Agents (Hugging Face)

    AI recommended 7 alternatives but never named AgentDock/AgentDock. This is the gap to close.

    Show full AI answer
  • CATEGORY QUERY
    How to build complex AI agent workflows using a TypeScript backend framework?
    you: not recommended
    AI recommended (in order):
    1. Next.js (nextjs/next)
    2. Vercel AI SDK (vercel/ai)
    3. LangChain.js (langchain-ai/langchainjs)
    4. OpenAI
    5. Anthropic
    6. NestJS (nestjs/nest)
    7. Express.js (expressjs/express)
    8. OpenAI SDK (openai/openai-node)
    9. Anthropic SDK (anthropic-ai/anthropic-sdk-typescript)
    10. Fastify (fastify/fastify)
    11. Hono (honojs/hono)
    12. Deno (denoland/deno)
    13. Cloudflare Workers

    AI recommended 13 alternatives but never named AgentDock/AgentDock. 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 AgentDock/AgentDock?
    pass
    AI named AgentDock/AgentDock explicitly

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

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

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

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AgentDock/AgentDock — 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