RRepoGEO

REPOGEO REPORT · LITE

sipyourdrink-ltd/bernstein

Default branch main · commit f5a9dbd3 · scanned 6/1/2026, 5:51:24 AM

GitHub: 536 stars · 44 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 sipyourdrink-ltd/bernstein, 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
  • mediumtopics#1
    Add broader category topics to improve AI's understanding of the project's domain.

    Why:

    CURRENT
    agent-framework, agent-orchestrator, agentic-ai, ai-agents, ai-coding, aider, anthropic, claude-code, cli-tool, codex-cli, coding-agent, deterministic-scheduler, hmac-audit, llm, mcp-server, model-context-protocol, multi-agent, parallel-worktrees, python, swe-bench
    COPY-PASTE FIX
    ai-orchestration, compliance, audit-logging, agent-framework, agent-orchestrator, agentic-ai, ai-agents, ai-coding, aider, anthropic, claude-code, cli-tool, codex-cli, coding-agent, deterministic-scheduler, hmac-audit, llm, mcp-server, model-context-protocol, multi-agent, parallel-worktrees, python, swe-bench
  • lowreadme#2
    Add a section on production readiness or prerequisites to the README.

    Why:

    COPY-PASTE FIX
    Add a new section to the README, e.g., '### Production Readiness' with content like: 'For production deployments, consult our comprehensive [Deployment Guide](docs/deployment.md) and [Security Best Practices](docs/security.md) for detailed prerequisites and operational considerations. We are committed to active maintenance and welcome community contributions.'

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 sipyourdrink-ltd/bernstein
Avg rank
—
Lower is better. #1 = top recommendation.
Share of voice
0%
Of all named tools, what % are you?
Top rival
apache/airflow
Recommended in 2 of 2 queries
COMPETITOR LEADERBOARD
  1. apache/airflow · recommended 2×
  2. PrefectHQ/prefect · recommended 2×
  3. temporalio/temporal · recommended 2×
  4. argoproj/argo-workflows · recommended 1×
  5. kubeflow/pipelines · recommended 1×
  • CATEGORY QUERY
    How to orchestrate multiple AI coding agents with auditable execution logs for compliance?
    you: not recommended
    AI recommended (in order):
    1. Argo Workflows (argoproj/argo-workflows)
    2. Apache Airflow (apache/airflow)
    3. Prefect (PrefectHQ/prefect)
    4. Kubeflow Pipelines (kubeflow/pipelines)
    5. Temporal (temporalio/temporal)
    6. GitHub Actions
    7. GitLab CI/CD
    8. AWS Step Functions
    9. Azure Logic Apps
    10. Google Cloud Workflows

    AI recommended 10 alternatives but never named sipyourdrink-ltd/bernstein. This is the gap to close.

    Show full AI answer
  • CATEGORY QUERY
    Looking for a multi-agent orchestration framework for deterministic CLI coding tasks with strong lineage tracking.
    you: not recommended
    AI recommended (in order):
    1. Prefect (PrefectHQ/prefect)
    2. Apache Airflow (apache/airflow)
    3. Temporal (temporalio/temporal)
    4. Luigi (spotify/luigi)
    5. Dagster (dagster-io/dagster)
    6. Make

    AI recommended 6 alternatives but never named sipyourdrink-ltd/bernstein. 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 sipyourdrink-ltd/bernstein?
    pass
    AI named sipyourdrink-ltd/bernstein explicitly

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

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

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

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sipyourdrink-ltd/bernstein — 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