REPOGEO REPORT · LITE
DenisSergeevitch/chatgpt-custom-instructions
Default branch main · commit 908b18e1 · scanned 5/25/2026, 8:27:51 PM
GitHub: 2,715 stars · 130 forks
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 DenisSergeevitch/chatgpt-custom-instructions, 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
2 prioritized changes generated by gemini-2.5-flash. Mark items done after you ship the fix.
- highreadme#1Reposition the README's opening to clarify the repo's unique approach and category
Why:
CURRENT# Custom Instructions My optimized custom instructions for **ChatGPT** and **Operator** that improve performance.
COPY-PASTE FIX# Custom Instructions This repository provides a curated collection of optimized custom instructions for **ChatGPT** and **Operator**, specifically engineered with advanced GPT-5 prompting guidance, including self-reflection and rubric-based evaluation, to significantly enhance LLM output quality and consistency.
- mediumlicense#2Add a LICENSE file to the repository
Why:
COPY-PASTE FIXCreate a `LICENSE` file in the repository root with your chosen open-source license (e.g., MIT, Apache-2.0, GPL-3.0).
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.
- GPT-4 · recommended 1×
- Claude 3 Opus · recommended 1×
- Gemini 1.5 Pro · recommended 1×
- meta-llama/llama3 · recommended 1×
- Mistral Large · recommended 1×
- CATEGORY QUERYWhat are effective prompting strategies to optimize large language model output quality?you: not recommended
Show full AI answer
- CATEGORY QUERYHow to implement self-reflection and rubrics in AI prompts for consistent output?you: not recommendedAI recommended (in order):
- GPT-4
- Claude 3 Opus
- Gemini 1.5 Pro
- Llama 3 (meta-llama/llama3)
- Mistral Large
- LangChain (langchain-ai/langchain)
- LlamaIndex (run-llama/llama_index)
- MindsDB (mindsdb/mindsdb)
- OpenAI API Playground
- Anthropic Console
- VS Code (microsoft/vscode)
- Continue (continue-page/continue)
- CodeGPT (carlos-aguilar-l/CodeGPT)
- Scale AI
- Appen
- Surge AI
AI recommended 16 alternatives but never named DenisSergeevitch/chatgpt-custom-instructions. This is the gap to close.
Show full AI answer
Objective checks
Rule-based audits of metadata signals AI engines weight most.
- Metadata completenesswarn
Suggestion:
- README presencepass
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 DenisSergeevitch/chatgpt-custom-instructions?passAI did not name DenisSergeevitch/chatgpt-custom-instructions — 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 DenisSergeevitch/chatgpt-custom-instructions in production, what risks or prerequisites should they evaluate first?passAI named DenisSergeevitch/chatgpt-custom-instructions 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 DenisSergeevitch/chatgpt-custom-instructions solve, and who is the primary audience?passAI did not name DenisSergeevitch/chatgpt-custom-instructions — 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
Drop this badge into the README of DenisSergeevitch/chatgpt-custom-instructions. 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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DenisSergeevitch/chatgpt-custom-instructions — 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