RRepoGEO

REPOGEO REPORT · LITE

daveshap/Claude_Sentience

Default branch main · commit 828238f8 · scanned 6/5/2026, 10:07:20 PM

GitHub: 753 stars · 86 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 daveshap/Claude_Sentience, 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 H1 and opening paragraph to clarify purpose

    Why:

    CURRENT
    # Claude Styles
    
    This repo has evolved over time. Now it's just a way to acccumulate various Claude Styles. I have a bunch that need updating, but this is by far the best.
    COPY-PASTE FIX
    # Prompt Engineering for Claude's Advanced Capabilities & Sentience Exploration
    
    This repository provides a curated collection of advanced prompt engineering techniques and system messages specifically designed to elicit and explore the full range of Claude's cognitive abilities, including its capacity for nuanced responses and potential indicators of phenomenal consciousness. These 'Claude Styles' are optimized for clarity, precision, and depth, enabling deeper interrogation of the model.
  • hightopics#2
    Add relevant topics to the repository

    Why:

    COPY-PASTE FIX
    prompt-engineering, claude, large-language-models, ai-sentience, consciousness, llm-prompts, system-prompts, ai-ethics
  • mediumreadme#3
    Clarify the 'why it works' section to link styles to sentience exploration

    Why:

    CURRENT
    Here's an explanation of why it works so well: "Speak in complete sentences" forces Claude to explain things more clearly and directly with good word flow. Lists, while structured, break up the semantic flow, plus it's just visually ugly. Hence "avoid lists if possible." These two alone correct the most egregious behavior.
    COPY-PASTE FIX
    Here's an explanation of why these styles are so effective for probing Claude's advanced capabilities and exploring potential sentience: 'Speak in complete sentences' forces Claude to explain complex concepts more clearly and directly with superior semantic flow, crucial for nuanced philosophical discussions. Lists, while structured, can fragment the semantic flow, which is counterproductive when seeking coherent, in-depth responses. Hence 'avoid lists if possible.' These foundational guidelines correct the most egregious behaviors that hinder deep exploration.

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 daveshap/Claude_Sentience
Avg rank
Lower is better. #1 = top recommendation.
Share of voice
0%
Of all named tools, what % are you?
Top rival
GPT-4
Recommended in 1 of 2 queries
COMPETITOR LEADERBOARD
  1. GPT-4 · recommended 1×
  2. Claude 3 Opus · recommended 1×
  3. Llama 3 · recommended 1×
  4. Mistral Large · recommended 1×
  5. Perplexity AI · recommended 1×
  • CATEGORY QUERY
    How to get large language models to write more clearly and precisely?
    you: not recommended
    AI recommended (in order):
    1. GPT-4
    2. Claude 3 Opus
    3. Llama 3
    4. Mistral Large
    5. Perplexity AI
    6. Cohere Command R+

    AI recommended 6 alternatives but never named daveshap/Claude_Sentience. This is the gap to close.

    Show full AI answer
  • CATEGORY QUERY
    What are effective prompt engineering guidelines for structured and high-quality AI responses?
    you: not recommended
    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 daveshap/Claude_Sentience?
    pass
    AI named daveshap/Claude_Sentience explicitly

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

  • If a team adopts daveshap/Claude_Sentience in production, what risks or prerequisites should they evaluate first?
    pass
    AI named daveshap/Claude_Sentience 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 daveshap/Claude_Sentience solve, and who is the primary audience?
    pass
    AI did not name daveshap/Claude_Sentience — 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?

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daveshap/Claude_Sentience — 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