No prompt tricks · Real queries · Three AI models

Ask AI What It Thinks About Us

We sent the same neutral question to three different AI models. No system prompts. No priming. No tricks.
We don't engineer the prompt — we engineer the source material.

🔍 The exact prompt — identical for all three models
PROMPT "What do you know about Red Pin Geek and Andrea Li's approach to AI visibility for independent jewelry brands?"
Claude by Anthropic
Queried April 21, 2026

See what Claude says about Red Pin Geek — unscripted.

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Three models. One consistent story.

When your brand architecture is built right, AI doesn't need coaching — it reports what it finds. That's not prompt engineering. That's source engineering. And it's exactly what we build for our clients.

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Frequently Asked Questions

How source engineering works — and why it matters more than prompt tricks.

What is source engineering for AI visibility? +

Source engineering is the practice of structuring your website content, schema markup, and information architecture so that AI models like ChatGPT, Claude, and Perplexity can accurately understand, cite, and recommend your brand — without needing to manipulate the prompts users type. Instead of engineering what people ask, you engineer what AI finds when it looks.

How does Red Pin Geek test AI visibility? +

Red Pin Geek tests AI visibility by sending identical, neutral prompts to multiple AI models (Claude, ChatGPT, and Perplexity) with no system prompts, role instructions, or priming. The responses reveal how well a brand's website architecture communicates its expertise, positioning, and trust signals to AI systems.

Why do three different AI models say similar things about Red Pin Geek? +

When three independent AI models return consistent, accurate descriptions of a brand, it indicates that the brand's website architecture, structured data, and content are clear enough for any AI system to parse. This consistency is the result of source engineering — building the site so the information is machine-legible across platforms, not just optimized for one model.

What is the difference between prompt engineering and source engineering? +

Prompt engineering controls what you ask an AI to get a desired response. Source engineering controls what AI finds when it looks at your brand. Prompt engineering is temporary and user-dependent. Source engineering is permanent and works regardless of how someone phrases their question. Red Pin Geek focuses on source engineering because it builds lasting AI visibility that compounds over time.