RRepoGEO

REPOGEO REPORT · LITE

agent-substrate/substrate

Default branch main · commit eab74c9a · scanned 6/13/2026, 5:17:06 PM

GitHub: 533 stars · 98 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 agent-substrate/substrate, 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
    Disambiguate project name in README

    Why:

    CURRENT
    # Agent Substrate
    COPY-PASTE FIX
    # Agent Substrate

NOTE: This project, `agent-substrate/substrate`, is *not* related to the blockchain framework known as Substrate (often associated with Polkadot). Agent Substrate is a system built on top of Kubernetes for managing agent-like workloads.
  • hightopics#2
    Add relevant topics to the repository

    Why:

    COPY-PASTE FIX
    kubernetes, orchestration, agents, scaling, low-latency, workload-management, event-driven, serverless, microservices
  • mediumreadme#3
    Strengthen README's opening problem statement

    Why:

    CURRENT
    Agent substrate is a system built on top of Kubernetes which manages agent-like workloads to achieve higher scale and efficiency than Kubernetes alone can offer, with lower latency.
    COPY-PASTE FIX
    Agent Substrate is a specialized system built on top of Kubernetes designed to overcome the limitations of standard Kubernetes for highly efficient, low-latency orchestration and scaling of numerous agent-like workloads. It enables significantly higher multiplexing and faster response times for applications that are often idle, such as AI agents, IoT devices, or microservices requiring rapid lifecycle management.

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 agent-substrate/substrate
Avg rank
—
Lower is better. #1 = top recommendation.
Share of voice
0%
Of all named tools, what % are you?
Top rival
Keda
Recommended in 1 of 2 queries
COMPETITOR LEADERBOARD
  1. Keda · recommended 1×
  2. Knative Serving · recommended 1×
  3. Horizontal Pod Autoscaler (HPA) · recommended 1×
  4. OpenFaaS · recommended 1×
  5. Argo Workflows · recommended 1×
  • CATEGORY QUERY
    How to efficiently scale many idle agent applications on a Kubernetes cluster?
    you: not recommended
    AI recommended (in order):
    1. Keda
    2. Knative Serving
    3. Horizontal Pod Autoscaler (HPA)
    4. OpenFaaS
    5. Argo Workflows
    6. Istio
    7. Cluster Autoscaler

    AI recommended 7 alternatives but never named agent-substrate/substrate. This is the gap to close.

    Show full AI answer
  • CATEGORY QUERY
    Seeking a Kubernetes-native solution for low-latency agent orchestration and lifecycle management.
    you: not recommended
    AI recommended (in order):
    1. Argo Workflows (argoproj/argo-workflows)
    2. Tekton Pipelines (tektoncd/pipelines)
    3. KubeVirt (kubevirt/kubevirt)
    4. Crossplane (crossplane/crossplane)
    5. KEDA (Kubernetes Event-driven Autoscaling) (kedacore/keda)
    6. Flux CD (fluxcd/flux2)
    7. Argo CD (argoproj/argo-cd)

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

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

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

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

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agent-substrate/substrate — 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