REPOGEO REPORT · LITE

NeoVertex1/SuperPrompt

Default branch main · commit b12f53bb · scanned 6/24/2026, 8:03:12 PM

GitHub: 6,423 stars · 573 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)

3 ready scans. Expand the table below for newest-first rows (10 per page, paginated).

AI VISIBILITY SCORE

35 /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

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 NeoVertex1/SuperPrompt, 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 to clearly define SuperPrompt as an LLM prompt engineering framework

Why:

CURRENT

This is a project that I decided to open source because I think it might help others understand AI agents. This prompt took me many months and is still in phase of forever beta. You will want to use this prompt with Claude (as custom instructions in the project knowledge) but it also work with other llms.

COPY-PASTE FIX

SuperPrompt is a structured prompt engineering framework designed to guide Large Language Models (LLMs), particularly Claude, to generate novel, 'outside-the-box' ideas and enable complex agent behaviors. It uses a templated approach with notations and XML tags to turn logical statements into actionable LLM agents, helping users explore deeper areas of model thought.

highlicense#2

Add a standard open-source license file to the repository

Why:

CURRENT

(no LICENSE file detected — the repo has no recognizable license)

COPY-PASTE FIX

Create a `LICENSE` file in the repository root containing the text of your chosen open-source license (e.g., MIT, Apache-2.0, GPL-3.0).

mediumhomepage#3

Add a homepage URL to the repository's 'About' section

Why:

COPY-PASTE FIX

Add `https://github.com/NeoVertex1/SuperPrompt` as the homepage URL in the repository settings, or link to a dedicated project documentation site if one exists.

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 NeoVertex1/SuperPrompt

Avg rank

—

Lower is better. #1 = top recommendation.

Share of voice

Of all named tools, what % are you?

Top rival

TRIZ

Recommended in 1 of 2 queries

COMPETITOR LEADERBOARD

TRIZ · recommended 1×
SCAMPER · recommended 1×
futuristic scenario planning · recommended 1×
speculative design · recommended 1×
design thinking · recommended 1×

CATEGORY QUERY
How to engineer prompts that make large language models generate novel, out-of-the-box ideas?
you: not recommended
AI recommended (in order):
1. TRIZ
2. SCAMPER
3. futuristic scenario planning
4. speculative design
5. design thinking
AI recommended 5 alternatives but never named NeoVertex1/SuperPrompt. This is the gap to close.
Show full AI answer
CATEGORY QUERY
Seeking a framework or method for structuring complex prompts to guide LLM agent behavior.
you: not recommended
AI recommended (in order):
1. LangChain Expression Language (LCEL)
2. LlamaIndex
3. DSPy
4. Guidance
5. Autogen
AI recommended 5 alternatives but never named NeoVertex1/SuperPrompt. 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 NeoVertex1/SuperPrompt?
pass
AI named NeoVertex1/SuperPrompt explicitly
AI answers can be confidently wrong. Read for accuracy: does it match your actual tech stack, audience, and differentiator?
If a team adopts NeoVertex1/SuperPrompt in production, what risks or prerequisites should they evaluate first?
pass
AI named NeoVertex1/SuperPrompt 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 NeoVertex1/SuperPrompt solve, and who is the primary audience?
pass
AI named NeoVertex1/SuperPrompt explicitly
AI answers can be confidently wrong. Read for accuracy: does it match your actual tech stack, audience, and differentiator?

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Live preview

MARKDOWN (README)

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HTML

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Pro

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NeoVertex1/SuperPrompt — 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