REPOGEO REPORT · LITE

promptdriven/pdd

Default branch main · commit d5df6afb · scanned 6/6/2026, 2:46:51 AM

GitHub: 740 stars · 63 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 promptdriven/pdd, 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 introduction to clarify PDD's role as a meta-programming system

Why:

CURRENT

PDD (Prompt-Driven Development) is a prompt-native programming system. `.prompt` files are the human-authored source language; Python, TypeScript, Go, and other traditional languages are generated artifacts.

COPY-PASTE FIX

PDD (Prompt-Driven Development) is a **prompt-native meta-programming system** where `.prompt` files are the human-authored source language, compiling into traditional languages like Python, TypeScript, and Go. It provides a structured framework for **AI-driven development where prompts define the source code**, enabling the generation of durable, reviewable code artifacts across multiple languages.

mediumtopics#2

Add more specific topics to emphasize meta-programming and AI-driven code generation

Why:

CURRENT

ai, cli, code, developer-tools, development, methodology, prompt, prompt-engineering, prompt-toolkit, prompts, prompts-template

COPY-PASTE FIX

ai, cli, code, developer-tools, development, methodology, prompt, prompt-engineering, prompt-toolkit, prompts, prompts-template, ai-code-generation, meta-programming, prompt-as-source, ai-development-framework, language-agnostic-code-generation

lowreadme#3

Add a sentence to the README explicitly differentiating PDD from common AI tools

Why:

COPY-PASTE FIX

Unlike direct AI chat interactions, generic AI APIs (e.g., OpenAI API, Vertex AI), or typical AI code assistants (e.g., GitHub Copilot, Tabnine), PDD provides a structured methodology and framework for treating AI prompts as first-class citizens in the software development lifecycle. This ensures prompts are durable, testable, and version-controlled source code, not just ephemeral inputs.

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 promptdriven/pdd

Avg rank

—

Lower is better. #1 = top recommendation.

Share of voice

Of all named tools, what % are you?

Top rival

OpenAI API

Recommended in 2 of 2 queries

COMPETITOR LEADERBOARD

OpenAI API · recommended 2×
Tabnine · recommended 2×
Google Cloud Vertex AI · recommended 1×
huggingface/transformers · recommended 1×
GitHub Copilot · recommended 1×

CATEGORY QUERY
How to generate code artifacts for multiple languages from high-level prompt descriptions?
you: not recommended
AI recommended (in order):
1. OpenAI API
2. Google Cloud Vertex AI
3. Hugging Face Transformers (huggingface/transformers)
4. GitHub Copilot
5. AWS CodeWhisperer
6. Tabnine
7. ANTLR (antlr/antlr4)
8. Xtext (eclipse/xtext)
9. T4 Text Templates
AI recommended 9 alternatives but never named promptdriven/pdd. This is the gap to close.
Show full AI answer
CATEGORY QUERY
What tools enable AI-driven development where prompts define the source code?
you: not recommended
AI recommended (in order):
1. GitHub Copilot X
2. Cursor
3. Codeium
4. Tabnine
5. Replit AI
6. OpenAI API
AI recommended 6 alternatives but never named promptdriven/pdd. 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 promptdriven/pdd?
pass
AI named promptdriven/pdd explicitly
AI answers can be confidently wrong. Read for accuracy: does it match your actual tech stack, audience, and differentiator?
If a team adopts promptdriven/pdd in production, what risks or prerequisites should they evaluate first?
pass
AI named promptdriven/pdd 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 promptdriven/pdd solve, and who is the primary audience?
pass
AI named promptdriven/pdd explicitly
AI answers can be confidently wrong. Read for accuracy: does it match your actual tech stack, audience, and differentiator?

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MARKDOWN (README)

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HTML

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promptdriven/pdd — 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