REPOGEO REPORT · LITE

promptslab/Awesome-Prompt-Engineering

Default branch main · commit b2da611f · scanned 5/11/2026, 10:42:43 PM

GitHub: 5,898 stars · 667 forks

AI VISIBILITY SCORE

27 /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

1 / 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/Awesome-Prompt-Engineering, 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 explicitly state it's a 'definitive guide'

Why:

CURRENT

A hand-curated collection of resources for Prompt Engineering and Context Engineering — covering papers, tools, models, APIs, benchmarks, courses, and communities for working with Large Language Models.

COPY-PASTE FIX

The definitive, hand-curated guide and collection of resources for Prompt Engineering and Context Engineering — covering papers, tools, models, APIs, benchmarks, courses, and communities for working with Large Language Models.

highhomepage#2
Update repository homepage URL to the project website
Why:
CURRENT
```
https://discord.gg/m88xfYMbK6
```
COPY-PASTE FIX
```
https://promptslab.github.io
```

mediumreadme#3

Add a 'Why Awesome-Prompt-Engineering?' section to the README

Why:

COPY-PASTE FIX

Add a new section, perhaps after '🚀 Start Here', titled 'Why Awesome-Prompt-Engineering?' or 'What Makes This Guide Unique?'. Content should highlight its comprehensive, research-focused, and regularly updated nature, e.g., 'Unlike other guides, Awesome-Prompt-Engineering provides a uniquely comprehensive, research-focused, and regularly updated collection of resources, spanning over 1,500 papers and a wide array of tools and models, making it the go-to resource for both beginners and advanced practitioners.'

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/Awesome-Prompt-Engineering

Avg rank

—

Lower is better. #1 = top recommendation.

Share of voice

Of all named tools, what % are you?

Top rival

DeepLearning.AI's "Prompt Engineering for Developers" Course

Recommended in 1 of 2 queries

COMPETITOR LEADERBOARD

DeepLearning.AI's "Prompt Engineering for Developers" Course · recommended 1×
OpenAI's Official Prompt Engineering Guide · recommended 1×
LearnPrompting.org · recommended 1×
Dair-AI/Prompt-Engineering-Guide · recommended 1×
Google's "Introduction to Generative AI" Course · recommended 1×

CATEGORY QUERY
Where can I find comprehensive resources to learn and master prompt engineering techniques?
you: not recommended
AI recommended (in order):
1. DeepLearning.AI's "Prompt Engineering for Developers" Course
2. OpenAI's Official Prompt Engineering Guide
3. LearnPrompting.org
4. Prompt Engineering Guide (Dair-AI/Prompt-Engineering-Guide)
5. Google's "Introduction to Generative AI" Course
AI recommended 5 alternatives but never named promptslab/Awesome-Prompt-Engineering. This is the gap to close.
Show full AI answer
CATEGORY QUERY
What are the best guides and tools for optimizing text prompts for generative AI models?
you: not recommended
AI recommended (in order):
1. OpenAI Playground
2. LangChain
3. Weights & Biases (W&B) Prompts
4. Humanloop
5. PromptLayer
AI recommended 5 alternatives but never named promptslab/Awesome-Prompt-Engineering. 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/Awesome-Prompt-Engineering?
pass
AI did not name promptslab/Awesome-Prompt-Engineering — 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 promptslab/Awesome-Prompt-Engineering in production, what risks or prerequisites should they evaluate first?
pass
AI named promptslab/Awesome-Prompt-Engineering 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/Awesome-Prompt-Engineering solve, and who is the primary audience?
pass
AI did not name promptslab/Awesome-Prompt-Engineering — 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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promptslab/Awesome-Prompt-Engineering — 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