RRepoGEO

REPOGEO REPORT · LITE

cfortuner/promptable

Default branch main · commit 068a917b · scanned 5/22/2026, 6:22:56 PM

GitHub: 1,748 stars · 117 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 cfortuner/promptable, 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
    Explicitly state the 'React-inspired, component-based' differentiator in the README's opening

    Why:

    CURRENT
    Promptable is library that enables you to build powerful AI applications with LLMs and Embeddings providers such as OpenAI, Hugging Face, Cohere and Anthropic. It provides a flexible and extensible API that makes it easy to compose LLMs with data and tools to build complex applications quickly and easily.
    COPY-PASTE FIX
    Promptable is a **React-inspired, component-based framework** for building powerful AI applications with LLMs and Embeddings providers like OpenAI, Hugging Face, Cohere, and Anthropic. It offers a **type-safe, declarative, and composable API** that makes it easy to combine LLMs with data and tools, accelerating the development of complex AI applications in Typescript/Javascript.
  • mediumabout#2
    Enhance the repository description with more keywords

    Why:

    CURRENT
    Build LLM apps in Typescript/Javascript. 🧑‍💻 🧑‍💻 🧑‍💻 🚀 🚀 🚀
    COPY-PASTE FIX
    A React-inspired, type-safe framework for building fullstack LLM and AI applications in Typescript/Javascript, supporting OpenAI, Hugging Face, and more.

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 cfortuner/promptable
Avg rank
—
Lower is better. #1 = top recommendation.
Share of voice
0%
Of all named tools, what % are you?
Top rival
LangChain.js
Recommended in 2 of 2 queries
COMPETITOR LEADERBOARD
  1. LangChain.js · recommended 2×
  2. LlamaIndex.TS · recommended 2×
  3. Next.js · recommended 1×
  4. Vercel AI SDK · recommended 1×
  5. NestJS · recommended 1×
  • CATEGORY QUERY
    What are the best JavaScript frameworks for developing AI applications with LLMs?
    you: not recommended
    AI recommended (in order):
    1. LangChain.js
    2. LlamaIndex.TS
    3. Next.js
    4. Vercel AI SDK
    5. NestJS
    6. TensorFlow.js
    7. ONNX Runtime Web

    AI recommended 7 alternatives but never named cfortuner/promptable. This is the gap to close.

    Show full AI answer
  • CATEGORY QUERY
    How to build question answering bots using large language models in TypeScript?
    you: not recommended
    AI recommended (in order):
    1. LangChain.js
    2. LlamaIndex.TS
    3. OpenAI API
    4. Google AI SDK
    5. Hugging Face Transformers.js

    AI recommended 5 alternatives but never named cfortuner/promptable. 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 cfortuner/promptable?
    pass
    AI did not name cfortuner/promptable — 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 cfortuner/promptable in production, what risks or prerequisites should they evaluate first?
    pass
    AI named cfortuner/promptable 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 cfortuner/promptable solve, and who is the primary audience?
    pass
    AI named cfortuner/promptable explicitly

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

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cfortuner/promptable — 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