RRepoGEO

REPOGEO REPORT · LITE

open-compass/opencompass

Default branch main · commit 1f0b97a5 · scanned 6/25/2026, 2:51:43 AM

GitHub: 7,119 stars · 793 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
40 /100
Critical
Category recall
0 / 2
Not recommended in any query
Rule findings
2 pass · 0 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 open-compass/opencompass, 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 state its role as a unified LLM evaluation and benchmarking platform

    Why:

    CURRENT
    Welcome to **OpenCompass**! Just like a compass guides us on our journey, OpenCompass will guide you through the complex landscape of evaluating large language models. With its powerful algorithms and intuitive interface, OpenCompass makes it easy to assess the quality and effectiveness of your NLP models.
    COPY-PASTE FIX
    Welcome to **OpenCompass**, the unified and comprehensive platform for evaluating and benchmarking large language models (LLMs). OpenCompass provides a standardized, reproducible, and extensible framework to assess a wide range of LLMs across diverse datasets and tasks, guiding you through the complex landscape of LLM performance.
  • mediumtopics#2
    Add more specific topics to better categorize the project as an LLM evaluation and benchmarking platform

    Why:

    CURRENT
    benchmark, chatgpt, evaluation, large-language-model, llama2, llama3, llm, openai
    COPY-PASTE FIX
    benchmark, chatgpt, evaluation, large-language-model, llama2, llama3, llm, openai, llm-evaluation-platform, llm-benchmarking, model-evaluation, reproducible-ai
  • lowcomparison#3
    Add a dedicated section in the README comparing OpenCompass to common LLM evaluation alternatives

    Why:

    COPY-PASTE FIX
    Add a new section titled 'Why OpenCompass? (Comparison with Alternatives)' or similar, detailing how OpenCompass differentiates itself from tools like LM Evaluation Harness, HELM, or general MLOps platforms, emphasizing its unified, comprehensive, and extensible nature.

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 open-compass/opencompass
Avg rank
—
Lower is better. #1 = top recommendation.
Share of voice
0%
Of all named tools, what % are you?
Top rival
EleutherAI/lm-evaluation-harness
Recommended in 1 of 2 queries
COMPETITOR LEADERBOARD
  1. EleutherAI/lm-evaluation-harness · recommended 1×
  2. huggingface/evaluate · recommended 1×
  3. openai/evals · recommended 1×
  4. openai/human-eval · recommended 1×
  5. stanford-crfm/helm · recommended 1×
  • CATEGORY QUERY
    How can I effectively benchmark different large language models on diverse datasets?
    you: not recommended
    AI recommended (in order):
    1. EleutherAI's LM Evaluation Harness (lm-eval) (EleutherAI/lm-evaluation-harness)
    2. Hugging Face Evaluate Library (huggingface/evaluate)
    3. OpenAI Evals (openai/evals)
    4. BigCode Project's HumanEval (openai/human-eval)
    5. HELM (Holistic Evaluation of Language Models) (stanford-crfm/helm)
    6. LangChain (langchain-ai/langchain)
    7. Ragas (explodinggradients/ragas)

    AI recommended 7 alternatives but never named open-compass/opencompass. This is the gap to close.

    Show full AI answer
  • CATEGORY QUERY
    What platform helps evaluate and compare performance of various LLMs comprehensively?
    you: not recommended
    AI recommended (in order):
    1. Weights & Biases (W&B)
    2. MLflow
    3. Humanloop
    4. Arize AI
    5. Phoenix
    6. LangChain
    7. LlamaIndex
    8. Ragas
    9. TruLens

    AI recommended 9 alternatives but never named open-compass/opencompass. This is the gap to close.

    Show full AI answer

Objective checks

Rule-based audits of metadata signals AI engines weight most.

  • Metadata completeness
    pass

  • 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 open-compass/opencompass?
    pass
    AI named open-compass/opencompass explicitly

    AI answers can be confidently wrong. Read for accuracy: does it match your actual tech stack, audience, and differentiator?

  • If a team adopts open-compass/opencompass in production, what risks or prerequisites should they evaluate first?
    pass
    AI named open-compass/opencompass 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 open-compass/opencompass solve, and who is the primary audience?
    pass
    AI named open-compass/opencompass 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 open-compass/opencompass. It auto-updates whenever the report is rescanned and links back to the latest report — easy public proof that you care about AI discoverability.

RepoGEO badge previewLive preview
MARKDOWN (README)
[![RepoGEO](https://repogeo.com/badge/open-compass/opencompass.svg)](https://repogeo.com/en/r/open-compass/opencompass)
HTML
<a href="https://repogeo.com/en/r/open-compass/opencompass"><img src="https://repogeo.com/badge/open-compass/opencompass.svg" alt="RepoGEO" /></a>
Pro

Subscribe to Pro for deep diagnoses

open-compass/opencompass — 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