REPOGEO REPORT · LITE
microsoft/sammo
Default branch main · commit 2137815b · scanned 6/7/2026, 4:26:30 PM
GitHub: 760 stars · 45 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 microsoft/sammo, 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 README's opening sentence to emphasize systematic optimization and structured outputs
Why:
CURRENTA flexible, easy-to-use library for running and optimizing prompts for Large Language Models (LLMs).
COPY-PASTE FIXSAMMO is a flexible, easy-to-use library for *systematically optimizing and evaluating* prompts for Large Language Models (LLMs), with advanced support for *structured outputs*.
- mediumtopics#2Add more specific topics related to prompt optimization, evaluation, and structured outputs
Why:
CURRENTllms, prompt-engineering, prompt-tuning
COPY-PASTE FIXllms, prompt-engineering, prompt-tuning, prompt-optimization, llm-evaluation, structured-outputs, metaprompting
- lowhomepage#3Add a homepage URL to the repository's About section
Why:
COPY-PASTE FIXhttps://microsoft.github.io/sammo/
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 · recommended 2×
- Weights & Biases Prompts · recommended 1×
- Humanloop · recommended 1×
- OpenAI Evals · recommended 1×
- PromptLayer · recommended 1×
- CATEGORY QUERYHow to systematically optimize and evaluate prompts for large language models?you: not recommendedAI recommended (in order):
- Weights & Biases Prompts
- LangChain
- Humanloop
- OpenAI Evals
- PromptLayer
- MLflow
- Pandas/NumPy
AI recommended 7 alternatives but never named microsoft/sammo. This is the gap to close.
Show full AI answer
- CATEGORY QUERYWhat are good libraries for advanced prompt engineering and structured LLM outputs?you: not recommendedAI recommended (in order):
- LangChain
- LlamaIndex
- Instructor
- Guidance
- Pydantic
- Outlines
AI recommended 6 alternatives but never named microsoft/sammo. 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 microsoft/sammo?passAI named microsoft/sammo explicitly
AI answers can be confidently wrong. Read for accuracy: does it match your actual tech stack, audience, and differentiator?
- If a team adopts microsoft/sammo in production, what risks or prerequisites should they evaluate first?passAI named microsoft/sammo 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 microsoft/sammo solve, and who is the primary audience?passAI named microsoft/sammo 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 microsoft/sammo. 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/microsoft/sammo)<a href="https://repogeo.com/en/r/microsoft/sammo"><img src="https://repogeo.com/badge/microsoft/sammo.svg" alt="RepoGEO" /></a>Subscribe to Pro for deep diagnoses
microsoft/sammo — 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