RRepoGEO

REPOGEO REPORT · LITE

inngest/agent-kit

Default branch main · commit 6c9802fd · scanned 6/2/2026, 6:46:58 PM

GitHub: 880 stars · 127 forks

AI VISIBILITY SCORE
33 /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
2 / 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 inngest/agent-kit, 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
    Update README subtitle to highlight durability and Inngest orchestration

    Why:

    CURRENT
    _Build multi-agent networks with deterministic routing and rich tooling via MCP._
    COPY-PASTE FIX
    _Build durable, reliable multi-agent networks in TypeScript with deterministic routing and rich tooling, powered by Inngest._
  • mediumtopics#2
    Add topics for workflow orchestration and durability

    Why:

    CURRENT
    agent, ai, ai-agent-framework, ai-agents, llm
    COPY-PASTE FIX
    agent, ai, ai-agent-framework, ai-agents, llm, workflow-orchestration, serverless, typescript-ai, durable-execution
  • lowabout#3
    Refine repository description to emphasize durability and Inngest integration

    Why:

    CURRENT
    AgentKit: Build multi-agent networks in TypeScript with deterministic routing and rich tooling via MCP.
    COPY-PASTE FIX
    AgentKit: Build durable, reliable multi-agent networks in TypeScript with deterministic routing and rich tooling, leveraging Inngest for fault-tolerant orchestration.

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 inngest/agent-kit
Avg rank
—
Lower is better. #1 = top recommendation.
Share of voice
0%
Of all named tools, what % are you?
Top rival
langchain/langchainjs
Recommended in 1 of 2 queries
COMPETITOR LEADERBOARD
  1. langchain/langchainjs · recommended 1×
  2. microsoft/autogen · recommended 1×
  3. run-llama/llama_index_ts · recommended 1×
  4. nestjs/nest · recommended 1×
  5. temporalio/sdk-typescript · recommended 1×
  • CATEGORY QUERY
    How to build reliable multi-agent AI systems using TypeScript for complex workflows?
    you: not recommended
    AI recommended (in order):
    1. LangChain.js (langchain/langchainjs)
    2. Autogen (microsoft/autogen)
    3. LlamaIndex.TS (run-llama/llama_index_ts)
    4. NestJS (nestjs/nest)
    5. Temporal.io (temporalio/sdk-typescript)
    6. TypeORM (typeorm/typeorm)
    7. Prisma (prisma/prisma)
    8. Zod (colinhacks/zod)

    AI recommended 8 alternatives but never named inngest/agent-kit. This is the gap to close.

    Show full AI answer
  • CATEGORY QUERY
    Seeking a framework for deterministic routing and robust tooling in AI agent orchestration.
    you: not recommended
    AI recommended (in order):
    1. LangChain
    2. LlamaIndex
    3. Haystack
    4. AutoGen
    5. CrewAI
    6. Marvin
    7. Open Interpreter

    AI recommended 7 alternatives but never named inngest/agent-kit. 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 inngest/agent-kit?
    pass
    AI named inngest/agent-kit explicitly

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

  • If a team adopts inngest/agent-kit in production, what risks or prerequisites should they evaluate first?
    pass
    AI named inngest/agent-kit 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 inngest/agent-kit solve, and who is the primary audience?
    pass
    AI did not name inngest/agent-kit — 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 inngest/agent-kit. It auto-updates whenever the report is rescanned and links back to the latest report — easy public proof that you care about AI discoverability.

RepoGEO badge previewLive preview
MARKDOWN (README)
[![RepoGEO](https://repogeo.com/badge/inngest/agent-kit.svg)](https://repogeo.com/en/r/inngest/agent-kit)
HTML
<a href="https://repogeo.com/en/r/inngest/agent-kit"><img src="https://repogeo.com/badge/inngest/agent-kit.svg" alt="RepoGEO" /></a>
Pro

Subscribe to Pro for deep diagnoses

inngest/agent-kit — 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