RRepoGEO

REPOGEO REPORT · LITE

UKGovernmentBEIS/inspect_ai

Default branch main · commit b9ed0e8a · scanned 5/24/2026, 7:32:37 PM

GitHub: 2,119 stars · 525 forks

AI VISIBILITY SCORE
35 /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
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 UKGovernmentBEIS/inspect_ai, 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 relevant topics to the repository

    Why:

    COPY-PASTE FIX
    llm-evaluation, llm-testing, ai-security, prompt-engineering, python-framework, large-language-models, model-evaluation, ai-safety, uk-government
  • mediumreadme#2
    Strengthen README opening to emphasize systematic LLM evaluation

    Why:

    CURRENT
    Welcome to Inspect, a framework for large language model evaluations created by the UK AI Security Institute.
    COPY-PASTE FIX
    Welcome to Inspect, a comprehensive framework for systematic and reproducible large language model evaluations, created by the UK AI Security Institute.
  • lowcomparison#3
    Add a comparison section to the README

    Why:

    COPY-PASTE FIX
    ### Comparison to other LLM evaluation frameworks
Inspect is inspired by frameworks like OpenAI Evals, but is designed to be more model-agnostic, extensible, and focused on systematic, reproducible evaluations across a wide range of LLMs and tasks.

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 UKGovernmentBEIS/inspect_ai
Avg rank
—
Lower is better. #1 = top recommendation.
Share of voice
0%
Of all named tools, what % are you?
Top rival
huggingface/evaluate
Recommended in 1 of 2 queries
COMPETITOR LEADERBOARD
  1. huggingface/evaluate · recommended 1×
  2. openai/evals · recommended 1×
  3. langchain-ai/langchain · recommended 1×
  4. Amazon Mechanical Turk · recommended 1×
  5. Appen · recommended 1×
  • CATEGORY QUERY
    How can I systematically evaluate the performance of different large language models?
    you: not recommended
    AI recommended (in order):
    1. Hugging Face Evaluate Library (huggingface/evaluate)
    2. OpenAI Evals (openai/evals)
    3. LangChain Evaluation (langchain-ai/langchain)
    4. Amazon Mechanical Turk
    5. Appen
    6. Scale AI
    7. Google Jigsaw's Perspective API
    8. Hugging Face Transformers (huggingface/transformers)
    9. MLflow (mlflow/mlflow)
    10. Weights & Biases (wandb/wandb)

    AI recommended 10 alternatives but never named UKGovernmentBEIS/inspect_ai. This is the gap to close.

    Show full AI answer
  • CATEGORY QUERY
    What Python framework provides robust tools for LLM prompt engineering and testing?
    you: not recommended
    AI recommended (in order):
    1. LangChain
    2. LlamaIndex
    3. Haystack
    4. OpenAI Evals
    5. Guidance
    6. Promptfoo
    7. LiteLLM

    AI recommended 7 alternatives but never named UKGovernmentBEIS/inspect_ai. 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 UKGovernmentBEIS/inspect_ai?
    pass
    AI named UKGovernmentBEIS/inspect_ai explicitly

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

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

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MARKDOWN (README)
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UKGovernmentBEIS/inspect_ai — 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