RRepoGEO

REPOGEO REPORT · LITE

BorisPolonsky/dify-helm

Default branch master · commit b62c4cb1 · scanned 5/29/2026, 1:26:32 AM

GitHub: 642 stars · 180 forks

AI VISIBILITY SCORE
28 /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
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 BorisPolonsky/dify-helm, 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 specific application deployment

    Why:

    CURRENT
    Deploy langgenius/dify, an LLM-based chatbot app on Kubernetes with Helm chart.
    COPY-PASTE FIX
    This Helm chart provides a production-ready, streamlined solution for deploying langgenius/dify, a powerful LLM-based chatbot application, onto Kubernetes. It is designed specifically for Dify application deployment, distinguishing it from general AI platforms or broader orchestration tools.
  • mediumhomepage#2
    Add a homepage URL

    Why:

    COPY-PASTE FIX
    https://github.com/BorisPolonsky/dify-helm
  • lowtopics#3
    Refine topics for better application-specific categorization

    Why:

    CURRENT
    charts, dify, helm, helm-chart, k8s, llm
    COPY-PASTE FIX
    charts, dify, helm, helm-chart, k8s, llm, llm-application, chatbot-deployment, kubernetes-deployment

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 BorisPolonsky/dify-helm
Avg rank
—
Lower is better. #1 = top recommendation.
Share of voice
0%
Of all named tools, what % are you?
Top rival
Hugging Face Inference Endpoints
Recommended in 1 of 2 queries
COMPETITOR LEADERBOARD
  1. Hugging Face Inference Endpoints · recommended 1×
  2. OpenShift AI · recommended 1×
  3. IBM Watsonx.ai · recommended 1×
  4. KServe · recommended 1×
  5. Kubeflow · recommended 1×
  • CATEGORY QUERY
    Simplest way to deploy an LLM-powered assistant to a Kubernetes environment?
    you: not recommended
    AI recommended (in order):
    1. Hugging Face Inference Endpoints
    2. OpenShift AI
    3. IBM Watsonx.ai
    4. KServe
    5. Kubeflow
    6. Triton Inference Server
    7. FastAPI
    8. Flask
    9. Docker
    10. Ray Serve
    11. Ray

    AI recommended 11 alternatives but never named BorisPolonsky/dify-helm. This is the gap to close.

    Show full AI answer
  • CATEGORY QUERY
    Seeking a reliable method to orchestrate AI chatbot services with Helm charts.
    you: not recommended
    AI recommended (in order):
    1. Argo CD
    2. Flux CD
    3. Helmfile
    4. Jenkins X
    5. Spinnaker

    AI recommended 5 alternatives but never named BorisPolonsky/dify-helm. 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 BorisPolonsky/dify-helm?
    pass
    AI named BorisPolonsky/dify-helm explicitly

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

  • If a team adopts BorisPolonsky/dify-helm in production, what risks or prerequisites should they evaluate first?
    pass
    AI named BorisPolonsky/dify-helm 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 BorisPolonsky/dify-helm solve, and who is the primary audience?
    pass
    AI did not name BorisPolonsky/dify-helm — 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?

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BorisPolonsky/dify-helm — 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