REPOGEO REPORT · LITE
mattpocock/evalite
Default branch main · commit e18a7937 · scanned 5/24/2026, 3:11:34 AM
GitHub: 1,566 stars · 91 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 mattpocock/evalite, 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#1Reposition the README's opening to clearly state its purpose for LLM evaluation
Why:
COPY-PASTE FIXEvalite is a lightweight, type-safe framework for evaluating your Large Language Model (LLM) applications directly within TypeScript. It helps you test and validate AI outputs with confidence.
- mediumtopics#2Add more specific topics related to LLM evaluation and AI testing
Why:
CURRENTai, evals, typescript
COPY-PASTE FIXai, evals, typescript, llm-evaluation, ai-testing, large-language-models
- lowabout#3Refine the repository description for clearer LLM evaluation focus
Why:
CURRENTEvaluate your LLM-powered apps with TypeScript
COPY-PASTE FIXA type-safe framework for evaluating Large Language Model (LLM) applications in TypeScript.
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.js · recommended 1×
- LangSmith · recommended 1×
- OpenAI Evals · recommended 1×
- Jest · recommended 1×
- Vitest · recommended 1×
- CATEGORY QUERYHow can I evaluate my large language model applications with TypeScript?you: not recommendedAI recommended (in order):
- LangChain.js
- LangSmith
- OpenAI Evals
- Jest
- Vitest
- Zod
- Argilla
- Label Studio
AI recommended 8 alternatives but never named mattpocock/evalite. This is the gap to close.
Show full AI answer
- CATEGORY QUERYWhat tools exist for testing and validating AI application outputs?you: not recommendedAI recommended (in order):
- Arize AI
- WhyLabs
- Fiddler AI
- Deepchecks
- Tecton
- MLflow
- Great Expectations
AI recommended 7 alternatives but never named mattpocock/evalite. 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 mattpocock/evalite?passAI did not name mattpocock/evalite — 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 mattpocock/evalite in production, what risks or prerequisites should they evaluate first?passAI named mattpocock/evalite 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 mattpocock/evalite solve, and who is the primary audience?passAI named mattpocock/evalite 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 mattpocock/evalite. It auto-updates whenever the report is rescanned and links back to the latest report — easy public proof that you care about AI discoverability.
[](https://repogeo.com/en/r/mattpocock/evalite)<a href="https://repogeo.com/en/r/mattpocock/evalite"><img src="https://repogeo.com/badge/mattpocock/evalite.svg" alt="RepoGEO" /></a>Subscribe to Pro for deep diagnoses
mattpocock/evalite — 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