RRepoGEO

REPOGEO REPORT · LITE

idavidrein/gpqa

Default branch main · commit 56686c06 · scanned 6/9/2026, 5:18:04 AM

GitHub: 508 stars · 56 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 idavidrein/gpqa, 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

2 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 sentence to emphasize its identity as a benchmark

    Why:

    CURRENT
    Baselines and analysis for the GPQA dataset (paper: https://arxiv.org/abs/2311.12022)
    COPY-PASTE FIX
    GPQA is a novel, graduate-level benchmark dataset designed to rigorously evaluate the factual accuracy and advanced reasoning capabilities of large language models, featuring 'Google-proof' questions. This repository provides baselines and analysis for the GPQA dataset (paper: https://arxiv.org/abs/2311.12022).
  • mediumreadme#2
    Explicitly highlight GPQA's 'extreme difficulty' as a core differentiator in the README

    Why:

    COPY-PASTE FIX
    Unlike many existing benchmarks, GPQA features expert-written, multi-step reasoning questions in scientific and academic domains, making it exceptionally challenging and 'Google-proof' for current state-of-the-art AI models.

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 idavidrein/gpqa
Avg rank
—
Lower is better. #1 = top recommendation.
Share of voice
0%
Of all named tools, what % are you?
Top rival
HotpotQA
Recommended in 2 of 2 queries
COMPETITOR LEADERBOARD
  1. HotpotQA · recommended 2×
  2. TruthfulQA · recommended 2×
  3. explodinggradients/ragas · recommended 1×
  4. confident-ai/deepeval · recommended 1×
  5. LangSmith · recommended 1×
  • CATEGORY QUERY
    How can I rigorously evaluate large language models on complex, knowledge-intensive question answering?
    you: not recommended
    AI recommended (in order):
    1. RAGAS (explodinggradients/ragas)
    2. DeepEval (confident-ai/deepeval)
    3. LangSmith
    4. HotpotQA
    5. Natural Questions (NQ)
    6. TruthfulQA

    AI recommended 6 alternatives but never named idavidrein/gpqa. This is the gap to close.

    Show full AI answer
  • CATEGORY QUERY
    Seeking a benchmark dataset for assessing advanced reasoning and factual recall in AI models.
    you: not recommended
    AI recommended (in order):
    1. MMLU
    2. HellaSwag
    3. ARC
    4. TruthfulQA
    5. GSM8K
    6. DROP
    7. HotpotQA

    AI recommended 7 alternatives but never named idavidrein/gpqa. 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 idavidrein/gpqa?
    pass
    AI named idavidrein/gpqa explicitly

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

  • If a team adopts idavidrein/gpqa in production, what risks or prerequisites should they evaluate first?
    pass
    AI named idavidrein/gpqa 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 idavidrein/gpqa solve, and who is the primary audience?
    pass
    AI named idavidrein/gpqa explicitly

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

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idavidrein/gpqa — 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