REPOGEO REPORT · LITE

promptslab/Promptify

Default branch main · commit bc5ed081 · scanned 5/23/2026, 8:27:45 AM

GitHub: 4,608 stars · 363 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 promptslab/Promptify, 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

Strengthen README's opening statement for core features

Why:

CURRENT

Task-based NLP engine with Pydantic structured outputs, built-in evaluation, and LiteLLM as the universal LLM backend. Think "scikit-learn for LLM-powered NLP".

COPY-PASTE FIX

Promptify is a dedicated NLP engine for reliable, structured output from Large Language Models (LLMs) using Pydantic, offering robust prompt engineering, versioning, and built-in evaluation capabilities.

mediumabout#2

Refine repository description to emphasize reliability and Pydantic

Why:

CURRENT

Prompt Engineering | Prompt Versioning | Use GPT or other prompt based models to get structured output. Join our discord for Prompt-Engineering, LLMs and other latest research

COPY-PASTE FIX

Prompt Engineering | Prompt Versioning | Reliably get structured Pydantic output from GPT and other prompt-based models. Join our discord for Prompt-Engineering, LLMs and other latest research

lowcomparison#3

Add a "Why Promptify?" comparison section to the README

Why:

COPY-PASTE FIX

## Why Promptify? (vs. LangChain, Instructor, etc.)

Promptify differentiates itself by focusing specifically on providing a structured, modular, and reusable approach to prompt engineering itself. Unlike broader LLM frameworks, Promptify abstracts away complexities for easier creation, management, and optimization of prompts, acting as a dedicated NLP engine for reliable, type-safe LLM interactions.

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 promptslab/Promptify

Avg rank

—

Lower is better. #1 = top recommendation.

Share of voice

Of all named tools, what % are you?

Top rival

LangChain

Recommended in 2 of 2 queries

COMPETITOR LEADERBOARD

LangChain · recommended 2×
Instructor · recommended 1×
Pydantic-LLM · recommended 1×
LlamaIndex · recommended 1×
Guidance · recommended 1×

CATEGORY QUERY
How can I get structured Pydantic output from large language models reliably?
you: not recommended
AI recommended (in order):
1. Instructor
2. Pydantic-LLM
3. LangChain
4. LlamaIndex
5. Guidance
6. OpenAI Function Calling
AI recommended 6 alternatives but never named promptslab/Promptify. This is the gap to close.
Show full AI answer
CATEGORY QUERY
What tools help manage prompt versions and evaluate LLM performance for NLP tasks?
you: not recommended
AI recommended (in order):
1. Weights & Biases
2. MLflow
3. LangChain
4. Arize AI
5. Galileo
6. Git
7. Jupyter
8. pandas
9. scikit-learn
10. matplotlib
AI recommended 10 alternatives but never named promptslab/Promptify. 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 promptslab/Promptify?
pass
AI named promptslab/Promptify explicitly
AI answers can be confidently wrong. Read for accuracy: does it match your actual tech stack, audience, and differentiator?
If a team adopts promptslab/Promptify in production, what risks or prerequisites should they evaluate first?
pass
AI named promptslab/Promptify 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 promptslab/Promptify solve, and who is the primary audience?
pass
AI named promptslab/Promptify explicitly
AI answers can be confidently wrong. Read for accuracy: does it match your actual tech stack, audience, and differentiator?

Embed your GEO score

Drop this badge into the README of promptslab/Promptify. It auto-updates whenever the report is rescanned and links back to the latest report — easy public proof that you care about AI discoverability.

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MARKDOWN (README)

[![RepoGEO](https://repogeo.com/badge/promptslab/Promptify.svg)](https://repogeo.com/en/r/promptslab/Promptify)

HTML

<a href="https://repogeo.com/en/r/promptslab/Promptify"><img src="https://repogeo.com/badge/promptslab/Promptify.svg" alt="RepoGEO" /></a>

Pro

Subscribe to Pro for deep diagnoses

promptslab/Promptify — 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