RRepoGEO

REPOGEO REPORT · LITE

ajndkr/lanarky

Default branch main · commit 43375b45 · scanned 6/12/2026, 8:17:12 PM

GitHub: 994 stars · 76 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 ajndkr/lanarky, 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 H4 to emphasize FastAPI extension for LLMs

    Why:

    CURRENT
    <h4>The web framework for building LLM microservices.</h4>
    COPY-PASTE FIX
    <h4>A FastAPI extension for building LLM microservices and AI assistants.</h4>
  • hightopics#2
    Add more specific LLM deployment and API topics

    Why:

    CURRENT
    deprecated-repo, fastapi, llmops, microservices, python3, web
    COPY-PASTE FIX
    deprecated-repo, fastapi, llmops, microservices, python3, web, llm-api, llm-deployment, ai-assistants
  • mediumabout#3
    Update repository description to reflect FastAPI extension focus

    Why:

    CURRENT
    The web framework for building LLM microservices [deprecated]
    COPY-PASTE FIX
    A FastAPI extension for building LLM microservices and AI assistants [deprecated]

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 ajndkr/lanarky
Avg rank
—
Lower is better. #1 = top recommendation.
Share of voice
0%
Of all named tools, what % are you?
Top rival
FastAPI
Recommended in 2 of 2 queries
COMPETITOR LEADERBOARD
  1. FastAPI · recommended 2×
  2. Flask · recommended 2×
  3. Sanic · recommended 2×
  4. Django REST Framework (DRF) · recommended 1×
  5. Litestar · recommended 1×
  • CATEGORY QUERY
    What are the best Python frameworks for deploying large language model APIs?
    you: not recommended
    AI recommended (in order):
    1. FastAPI
    2. Flask
    3. Django REST Framework (DRF)
    4. Litestar
    5. Sanic
    6. Gradio
    7. Streamlit

    AI recommended 7 alternatives but never named ajndkr/lanarky. This is the gap to close.

    Show full AI answer
  • CATEGORY QUERY
    Seeking a web framework to build LLM microservices quickly using Python.
    you: not recommended
    AI recommended (in order):
    1. FastAPI
    2. Flask
    3. Starlette
    4. Django REST Framework (DRF) with Django
    5. Sanic

    AI recommended 5 alternatives but never named ajndkr/lanarky. 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 ajndkr/lanarky?
    pass
    AI named ajndkr/lanarky explicitly

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

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

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

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ajndkr/lanarky — 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