RRepoGEO

REPOGEO REPORT · LITE

awslabs/aidlc-workflows

Default branch main · commit 16f64c3f · scanned 5/20/2026, 10:16:58 AM

GitHub: 2,155 stars · 365 forks

Scan history for this repo

Score trend below includes all ready runs (older left, newer right; scroll horizontally if needed). The table is collapsed by default—expand for newest-first rows, 10 per page.

Score trend (left → right: older → newer)

2 ready scans. Expand the table below for newest-first rows (10 per page, paginated).

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 awslabs/aidlc-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
  • highreadme#1
    Reposition the README's opening sentence to clarify its focus on AI coding agents

    Why:

    CURRENT
    AI-DLC is an intelligent software development workflow that adapts to your needs, maintains quality standards, and keeps you in control of the process.
    COPY-PASTE FIX
    AI-DLC is an intelligent software development workflow that provides adaptive steering rules specifically for AI coding agents, enabling them to maintain quality standards and adapt to your needs throughout the development process.
  • mediumhomepage#2
    Add a homepage URL to the repository metadata

    Why:

    COPY-PASTE FIX
    Add the URL to the AI-DLC Methodology blog post mentioned in the README, or another primary external resource.

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 awslabs/aidlc-workflows
Avg rank
—
Lower is better. #1 = top recommendation.
Share of voice
0%
Of all named tools, what % are you?
Top rival
MLflow
Recommended in 2 of 2 queries
COMPETITOR LEADERBOARD
  1. MLflow · recommended 2×
  2. DVC · recommended 2×
  3. Kubeflow · recommended 1×
  4. Kubeflow Pipelines · recommended 1×
  5. Kubeflow Serving · recommended 1×
  • CATEGORY QUERY
    How can I implement adaptive development workflows for my AI coding assistants?
    you: not recommended
    AI recommended (in order):
    1. MLflow
    2. Kubeflow
    3. Kubeflow Pipelines
    4. Kubeflow Serving
    5. KServe
    6. Katib
    7. DVC
    8. GitHub Actions
    9. GitLab CI/CD
    10. Jenkins
    11. Prometheus
    12. Grafana
    13. Ray
    14. Ray RLlib
    15. Ray Tune

    AI recommended 15 alternatives but never named awslabs/aidlc-workflows. This is the gap to close.

    Show full AI answer
  • CATEGORY QUERY
    Tools to manage quality and control in an AI-driven software development lifecycle?
    you: not recommended
    AI recommended (in order):
    1. MLflow
    2. DVC
    3. Great Expectations
    4. Weights & Biases
    5. Seldon Core
    6. Fiddler AI
    7. Pachyderm

    AI recommended 7 alternatives but never named awslabs/aidlc-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
    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 awslabs/aidlc-workflows?
    pass
    AI did not name awslabs/aidlc-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 awslabs/aidlc-workflows in production, what risks or prerequisites should they evaluate first?
    pass
    AI named awslabs/aidlc-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 awslabs/aidlc-workflows solve, and who is the primary audience?
    pass
    AI named awslabs/aidlc-workflows explicitly

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

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awslabs/aidlc-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