RRepoGEO

REPOGEO REPORT · LITE

lastmile-ai/aiconfig

Default branch main · commit cef0162b · scanned 5/23/2026, 5:46:10 PM

GitHub: 1,084 stars · 92 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
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 lastmile-ai/aiconfig, 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 the README's opening to emphasize generative AI configuration management

    Why:

    CURRENT
    AIConfig - the open-source framework for building production-grade AI applications
    COPY-PASTE FIX
    AIConfig - the open-source framework for **declarative, version-controlled configuration of generative AI prompts and models** for production-grade applications.
  • mediumreadme#2
    Add a clear comparison or 'Why AIConfig' section to the README

    Why:

    COPY-PASTE FIX
    Add a section titled 'Why AIConfig? (Compared to LangChain, LlamaIndex, etc.)' or 'How AIConfig Complements Your GenAI Stack' that explains its unique value proposition or how it integrates with other popular generative AI frameworks.
  • lowtopics#3
    Add more specific topics related to prompt management and AI configuration

    Why:

    CURRENT
    ai, developer-tools, generative-ai, llm, llm-ops
    COPY-PASTE FIX
    ai, developer-tools, generative-ai, llm, llm-ops, prompt-engineering, prompt-management, ai-configuration

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 lastmile-ai/aiconfig
Avg rank
—
Lower is better. #1 = top recommendation.
Share of voice
0%
Of all named tools, what % are you?
Top rival
mlflow/mlflow
Recommended in 1 of 2 queries
COMPETITOR LEADERBOARD
  1. mlflow/mlflow · recommended 1×
  2. iterative/dvc · recommended 1×
  3. wandb/wandb · recommended 1×
  4. git/git · recommended 1×
  5. PostgreSQL · recommended 1×
  • CATEGORY QUERY
    How to manage and version control generative AI prompts and model configurations?
    you: not recommended
    AI recommended (in order):
    1. MLflow (mlflow/mlflow)
    2. DVC (iterative/dvc)
    3. Weights & Biases (wandb/wandb)
    4. Git (git/git)
    5. PostgreSQL
    6. MongoDB (mongodb/mongo)
    7. Redis (redis/redis)
    8. LangChain Hub
    9. PromptLayer

    AI recommended 9 alternatives but never named lastmile-ai/aiconfig. This is the gap to close.

    Show full AI answer
  • CATEGORY QUERY
    What frameworks simplify building and iterating on production-ready generative AI applications?
    you: not recommended
    AI recommended (in order):
    1. LangChain
    2. LlamaIndex
    3. Haystack (deepset.ai)
    4. Gradio
    5. Streamlit
    6. OpenAI API
    7. Hugging Face Transformers

    AI recommended 7 alternatives but never named lastmile-ai/aiconfig. 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 lastmile-ai/aiconfig?
    pass
    AI named lastmile-ai/aiconfig explicitly

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

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

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

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lastmile-ai/aiconfig — 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