REPOGEO REPORT · LITE
hegelai/prompttools
Default branch main · commit 63bedaa3 · scanned 5/10/2026, 6:22:12 PM
GitHub: 3,039 stars · 256 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 hegelai/prompttools, 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.
- highreadme#1Enhance README opening to highlight systematic evaluation and key differentiators
Why:
CURRENTWelcome to `prompttools` created by Hegel AI! This repo offers a set of open-source, self-hostable tools for experimenting with, testing, and evaluating LLMs, vector databases, and prompts. The core idea is to enable developers to evaluate using familiar interfaces like _code_, _notebooks_, and a local _playground_.
COPY-PASTE FIXWelcome to `prompttools` created by Hegel AI! This repo offers a comprehensive, open-source, Python-first framework for systematic prompt engineering, testing, and evaluation of LLMs, vector databases, and prompts. It enables developers to perform A/B testing, track costs, and measure performance metrics using familiar interfaces like code, notebooks, and a local playground.
- mediumtopics#2Add more specific evaluation and testing topics
Why:
CURRENTdeep-learning, developer-tools, embeddings, large-language-models, llms, machine-learning, prompt-engineering, python, vector-search
COPY-PASTE FIXdeep-learning, developer-tools, embeddings, large-language-models, llms, machine-learning, prompt-engineering, python, vector-search, llm-evaluation, prompt-testing, ab-testing, rag-evaluation
- mediumabout#3Refine the repository description for clarity on systematic evaluation
Why:
CURRENTOpen-source tools for prompt testing and experimentation, with support for both LLMs (e.g. OpenAI, LLaMA) and vector databases (e.g. Chroma, Weaviate, LanceDB).
COPY-PASTE FIXOpen-source tools for systematically testing, evaluating, and optimizing LLM prompts and applications, with support for both LLMs (e.g. OpenAI, LLaMA) and vector databases (e.g. Chroma, Weaviate, LanceDB).
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.
- langchain-ai/langchain · recommended 1×
- confident-ai/deepeval · recommended 1×
- explodinggradients/ragas · recommended 1×
- run-llama/llama_index · recommended 1×
- promptfoo/promptfoo · recommended 1×
- CATEGORY QUERYWhat are good open-source tools for evaluating LLM prompts and model performance?you: not recommendedAI recommended (in order):
- LangChain (langchain-ai/langchain)
- DeepEval (confident-ai/deepeval)
- Ragas (explodinggradients/ragas)
- LlamaIndex (run-llama/llama_index)
- Promptfoo (promptfoo/promptfoo)
- OpenAI Evals (openai/evals)
- MLflow (mlflow/mlflow)
AI recommended 7 alternatives but never named hegelai/prompttools. This is the gap to close.
Show full AI answer
- CATEGORY QUERYHow can I test retrieval accuracy for vector databases and LLM integrations?you: not recommendedAI recommended (in order):
- Ragas
- LlamaIndex
- LangChain
- TruLens
- DeepEval
- Giskard
- scikit-learn
- nltk
AI recommended 8 alternatives but never named hegelai/prompttools. This is the gap to close.
Show full AI answer
Objective checks
Rule-based audits of metadata signals AI engines weight most.
- Metadata completenesspass
- 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 hegelai/prompttools?passAI named hegelai/prompttools explicitly
AI answers can be confidently wrong. Read for accuracy: does it match your actual tech stack, audience, and differentiator?
- If a team adopts hegelai/prompttools in production, what risks or prerequisites should they evaluate first?passAI named hegelai/prompttools 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 hegelai/prompttools solve, and who is the primary audience?passAI named hegelai/prompttools explicitly
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 hegelai/prompttools. It auto-updates whenever the report is rescanned and links back to the latest report — easy public proof that you care about AI discoverability.
Live preview[](https://repogeo.com/en/r/hegelai/prompttools)<a href="https://repogeo.com/en/r/hegelai/prompttools"><img src="https://repogeo.com/badge/hegelai/prompttools.svg" alt="RepoGEO" /></a>Subscribe to Pro for deep diagnoses
hegelai/prompttools — 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