RRepoGEO

REPOGEO REPORT · LITE

philrox/n8n-workflows

Default branch main · commit 1a110ab6 · scanned 6/8/2026, 12:27:34 PM

GitHub: 642 stars · 117 forks

AI VISIBILITY SCORE
23 /100
Critical
Category recall
0 / 2
Not recommended in any query
Rule findings
1 pass · 0 warn · 1 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 philrox/n8n-workflows, 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

2 prioritized changes generated by gemini-2.5-flash. Mark items done after you ship the fix.

OVERALL DIRECTION
  • highlicense#1
    Create a LICENSE file with the MIT license text

    Why:

    COPY-PASTE FIX
    Create a `LICENSE` file in the repository root containing the full text of the MIT License.
  • mediumhomepage#2
    Add a homepage URL to the repository's About section

    Why:

    COPY-PASTE FIX
    https://n8n.io/

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 philrox/n8n-workflows
Avg rank
—
Lower is better. #1 = top recommendation.
Share of voice
0%
Of all named tools, what % are you?
Top rival
apache/nifi
Recommended in 1 of 2 queries
COMPETITOR LEADERBOARD
  1. apache/nifi · recommended 1×
  2. apache/kafka · recommended 1×
  3. kubernetes/kubernetes · recommended 1×
  4. mlflow/mlflow · recommended 1×
  5. minio/minio · recommended 1×
  • CATEGORY QUERY
    How can I automate data capture, AI processing, and storage across different platforms?
    you: not recommended
    AI recommended (in order):
    1. Apache NiFi (apache/nifi)
    2. Apache Kafka (apache/kafka)
    3. Kubernetes (kubernetes/kubernetes)
    4. MLflow (mlflow/mlflow)
    5. MinIO (minio/minio)
    6. PostgreSQL
    7. AWS Glue
    8. Amazon Kinesis
    9. Amazon SageMaker
    10. Amazon S3
    11. Amazon RDS
    12. Google Cloud Dataflow
    13. Google Cloud Pub/Sub
    14. Google Cloud AI Platform
    15. Google Cloud Storage
    16. Google Cloud SQL
    17. Azure Data Factory
    18. Azure Event Hubs
    19. Azure Machine Learning
    20. Azure Blob Storage
    21. Azure SQL Database
    22. Databricks Lakehouse Platform
    23. Prefect (PrefectHQ/prefect)
    24. dbt (dbt-labs/dbt-core)
    25. Snowflake
    26. BigQuery

    AI recommended 26 alternatives but never named philrox/n8n-workflows. This is the gap to close.

    Show full AI answer
  • CATEGORY QUERY
    What are good solutions for automatically transcribing audio from video files into text?
    you: not recommended
    AI recommended (in order):
    1. Google Cloud Speech-to-Text
    2. AWS Transcribe
    3. Azure Cognitive Services Speech
    4. OpenAI Whisper
    5. AssemblyAI
    6. Deepgram
    7. Trint

    AI recommended 7 alternatives but never named philrox/n8n-workflows. This is the gap to close.

    Show full AI answer

Objective checks

Rule-based audits of metadata signals AI engines weight most.

  • Metadata completeness
    fail

    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 philrox/n8n-workflows?
    pass
    AI did not name philrox/n8n-workflows — 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?

  • If a team adopts philrox/n8n-workflows in production, what risks or prerequisites should they evaluate first?
    pass
    AI named philrox/n8n-workflows 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 philrox/n8n-workflows solve, and who is the primary audience?
    pass
    AI named philrox/n8n-workflows 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 philrox/n8n-workflows. 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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MARKDOWN (README)
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philrox/n8n-workflows — 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