RRepoGEO

REPOGEO REPORT · LITE

samchon/nestia

Default branch master · commit 1e779bd8 · scanned 6/28/2026, 1:57:06 PM

GitHub: 2,160 stars · 123 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 samchon/nestia, 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 opening to clearly state dual purpose

    Why:

    CURRENT
    Nestia is a set of helper libraries for NestJS, supporting below features:
    COPY-PASTE FIX
    Nestia is a powerful toolkit for NestJS developers, offering super-fast API helpers, automated SDK generation, and robust tools for AI agent and LLM function calling development.
  • mediumreadme#2
    Add a dedicated section for AI capabilities in the README

    Why:

    COPY-PASTE FIX
    Add a new top-level section in the README, e.g., '## AI Agent & LLM Development with Nestia', providing a dedicated overview of `@agentica` and `@autobe` and their benefits for AI chatbot development, similar to how the NestJS features are detailed.
  • mediumcomparison#3
    Add a 'Comparison with Alternatives' section to the README

    Why:

    COPY-PASTE FIX
    Add a new section in the README, e.g., '## Comparison with Alternatives', that explicitly contrasts `nestia`'s approach (e.g., TypeScript static analysis, performance) with `@nestjs/swagger` for SDKs, and its unique features for AI agent development compared to generic LLM libraries like `LangChain.js`.

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 samchon/nestia
Avg rank
—
Lower is better. #1 = top recommendation.
Share of voice
0%
Of all named tools, what % are you?
Top rival
nestjs/swagger
Recommended in 1 of 2 queries
COMPETITOR LEADERBOARD
  1. nestjs/swagger · recommended 1×
  2. OpenAPITools/openapi-generator · recommended 1×
  3. swagger-api/swagger-codegen · recommended 1×
  4. OpenAPITools/openapi-typescript-codegen · recommended 1×
  5. anymaniax/orval · recommended 1×
  • CATEGORY QUERY
    How to automatically generate client SDKs and OpenAPI documentation from NestJS controllers?
    you: not recommended
    AI recommended (in order):
    1. @nestjs/swagger (nestjs/swagger)
    2. OpenAPI Generator (OpenAPITools/openapi-generator)
    3. Swagger Codegen (swagger-api/swagger-codegen)
    4. @openapitools/openapi-typescript-codegen (OpenAPITools/openapi-typescript-codegen)
    5. orval (anymaniax/orval)

    AI recommended 5 alternatives but never named samchon/nestia. This is the gap to close.

    Show full AI answer
  • CATEGORY QUERY
    Seeking a robust library for LLM function calling and AI agent development in TypeScript.
    you: not recommended
    AI recommended (in order):
    1. LangChain.js
    2. LlamaIndex.TS
    3. OpenAI SDK
    4. TypeChat
    5. Autogen

    AI recommended 5 alternatives but never named samchon/nestia. 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 samchon/nestia?
    pass
    AI named samchon/nestia explicitly

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

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

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

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samchon/nestia — Lite scans stay free; this card itemizes Pro deep limits vs Lite.

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  • Brand-free category queries5 vs 2 in Lite
  • Prioritized action items8 vs 3 in Lite