REPOGEO REPORT · LITE

PickleBoxer/dev-chatgpt-prompts

Default branch master · commit b0783476 · scanned 6/19/2026, 9:17:39 AM

GitHub: 2,235 stars · 295 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 PickleBoxer/dev-chatgpt-prompts, 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's opening sentence to clarify resource type

Why:

CURRENT

Welcome to my personal collection of ChatGPT prompts for developers! 🙌

COPY-PASTE FIX

Welcome to this curated repository of powerful ChatGPT prompts specifically designed for developers! 🙌 This collection provides ready-to-use prompts to enhance your coding, debugging, and problem-solving workflows.

highlicense#2

Add a LICENSE file and mention it in the README

Why:

COPY-PASTE FIX

Create a `LICENSE` file in the root of the repository with the text of the MIT License. Additionally, add a section to your README, for example: `## License
This project is licensed under the MIT License - see the [LICENSE](LICENSE) file for details.`

mediumtopics#3

Expand and refine repository topics for better categorization

Why:

CURRENT

chatgpt, chatgpt4, code, copilot, faster, ia, prompts, smarter

COPY-PASTE FIX

chatgpt, chatgpt4, code, prompts, prompt-engineering, developer-tools, ai-prompts, large-language-models, llm-prompts, software-development, coding-assistant, prompt-collection

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 PickleBoxer/dev-chatgpt-prompts

Avg rank

—

Lower is better. #1 = top recommendation.

Share of voice

Of all named tools, what % are you?

Top rival

GitHub Copilot

Recommended in 1 of 2 queries

COMPETITOR LEADERBOARD

GitHub Copilot · recommended 1×
ChatGPT (GPT-4) · recommended 1×
Google Gemini · recommended 1×
Snyk Code (AI-powered Static Analysis) · recommended 1×
f/awesome-chatgpt-prompts · recommended 1×

CATEGORY QUERY
How can I leverage AI assistant prompts to improve code quality and identify issues?
you: not recommended
AI recommended (in order):
1. GitHub Copilot
2. ChatGPT (GPT-4)
3. Google Gemini
4. Snyk Code (AI-powered Static Analysis)
AI recommended 4 alternatives but never named PickleBoxer/dev-chatgpt-prompts. This is the gap to close.
Show full AI answer
CATEGORY QUERY
Where can I find effective prompts for large language models to enhance developer workflow?
you: not recommended
AI recommended (in order):
1. Awesome ChatGPT Prompts (f/awesome-chatgpt-prompts)
2. Prompt Engineering Guide (dair-ai/Prompt-Engineering-Guide)
3. Learn Prompting
4. OpenAI Cookbook
5. GitHub Copilot Chat
6. Hugging Face
7. Medium
8. Dev.to
AI recommended 8 alternatives but never named PickleBoxer/dev-chatgpt-prompts. 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 PickleBoxer/dev-chatgpt-prompts?
pass
AI named PickleBoxer/dev-chatgpt-prompts explicitly
AI answers can be confidently wrong. Read for accuracy: does it match your actual tech stack, audience, and differentiator?
If a team adopts PickleBoxer/dev-chatgpt-prompts in production, what risks or prerequisites should they evaluate first?
pass
AI named PickleBoxer/dev-chatgpt-prompts 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 PickleBoxer/dev-chatgpt-prompts solve, and who is the primary audience?
pass
AI did not name PickleBoxer/dev-chatgpt-prompts — 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?

Embed your GEO score

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MARKDOWN (README)

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HTML

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PickleBoxer/dev-chatgpt-prompts — 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