RRepoGEO

REPOGEO REPORT · LITE

braintrustdata/autoevals

Default branch main · commit f8616888 · scanned 5/31/2026, 4:36:52 PM

GitHub: 908 stars · 63 forks

AI VISIBILITY SCORE
28 /100
Critical
Category recall
0 / 2
Not recommended in any query
Rule findings
1 pass · 1 warn · 0 fail
Objective metadata checks
AI knows your name
2 / 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 braintrustdata/autoevals, 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
  • hightopics#1
    Add specific topics for LLM evaluation

    Why:

    COPY-PASTE FIX
    llm-evaluation, model-grading, ai-testing, llm-ops, evaluation-framework, python, llm-as-a-judge
  • highreadme#2
    Clarify the README H1 and opening sentence for LLM evaluation

    Why:

    CURRENT
    # Autoevals

Autoevals is a tool to quickly and easily evaluate AI model outputs.
    COPY-PASTE FIX
    # Autoevals: A Framework for LLM Model-Graded Evaluation

Autoevals is a powerful Python framework for quickly and easily evaluating AI model outputs using best practices like LLM-as-a-judge and model-graded evaluations.
  • mediumhomepage#3
    Add a homepage URL

    Why:

    COPY-PASTE FIX
    https://www.braintrustdata.com/

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 braintrustdata/autoevals
Avg rank
—
Lower is better. #1 = top recommendation.
Share of voice
0%
Of all named tools, what % are you?
Top rival
MLflow
Recommended in 2 of 2 queries
COMPETITOR LEADERBOARD
  1. MLflow · recommended 2×
  2. OpenAI Evals · recommended 1×
  3. LangChain · recommended 1×
  4. LlamaIndex · recommended 1×
  5. Weights & Biases Prompts · recommended 1×
  • CATEGORY QUERY
    How can I automate the evaluation of large language model outputs using another LLM?
    you: not recommended
    AI recommended (in order):
    1. OpenAI Evals
    2. LangChain
    3. LlamaIndex
    4. Weights & Biases Prompts
    5. Humanloop
    6. MLflow
    7. OpenAI API
    8. Anthropic API
    9. Google Gemini API
    10. Hugging Face Transformers

    AI recommended 10 alternatives but never named braintrustdata/autoevals. This is the gap to close.

    Show full AI answer
  • CATEGORY QUERY
    What are the best tools for programmatic and customizable AI model output quality assessment?
    you: not recommended
    AI recommended (in order):
    1. Arize AI
    2. Whylogs
    3. Fiddler AI
    4. Deepchecks
    5. MLflow
    6. TensorFlow Extended (TFX)
    7. TensorFlow Data Validation (TFDV)
    8. scikit-learn
    9. pandas
    10. numpy

    AI recommended 10 alternatives but never named braintrustdata/autoevals. This is the gap to close.

    Show full AI answer

Objective checks

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

  • Metadata completeness
    warn

    Suggestion:

  • 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 braintrustdata/autoevals?
    pass
    AI did not name braintrustdata/autoevals — 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 braintrustdata/autoevals in production, what risks or prerequisites should they evaluate first?
    pass
    AI named braintrustdata/autoevals 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 braintrustdata/autoevals solve, and who is the primary audience?
    pass
    AI named braintrustdata/autoevals explicitly

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

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braintrustdata/autoevals — 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