You're Using o1 Wrong: Here's How to Fix It

If you've spent the last few months trying to use o1 like ChatGPT or Claude, you're probably frustrated. The responses are slow, sometimes contradictory, and often feel like reading a corporate whitepaper rather than getting actual help. You're not alone - many e-commerce businesses are struggling with this transition.

Here's the thing: o1 isn't a chat model. And that's actually good news for e-commerce operations - if you know how to use it properly.

The Fundamental Shift Your Team Needs to Make

Remember how we used to work with ChatGPT? Quick questions, rapid back-and-forth, iterative refinement. "How can I improve my conversion rate?" "What's wrong with my product descriptions?" It worked because ChatGPT would ask for clarification if it needed more context.

o1 doesn't work that way. Think of it more like briefing a highly skilled analyst who's going to write you a report. You wouldn't walk up to an analyst and say "How's our performance?" You'd provide comprehensive context and specific requirements for the analysis.

How to Actually Use o1 for E-commerce

1. Stop Writing Prompts, Start Writing Briefs

Instead of: "How can I improve my product listings?"

Try this: "I run a DTC skincare brand selling across Shopify, Instagram Shopping, and Amazon. Our hero face serum at $85 has a 4.2% conversion rate on our website but only 2.1% on marketplaces. Our target audience is professionals 25-45 who care about clean beauty. Eight competitors have launched similar products last quarter, pricing between $45-65 with heavy social media presence. We use sustainable packaging and premium ingredients, but our customer feedback suggests the value proposition isn't clear enough. How should we optimize our product positioning and messaging across channels?"

Yes, it takes longer to write. But you'll get usable insights instead of surface-level observations.

2. Front-load Your Context

With ChatGPT or Claude, you might start simple and add context as needed. With o1, describe everything upfront:

• Your business model and unique selling points

• Target audience characteristics

• Current marketing messages and positioning

• Competitor landscape and strategies

• Customer pain points and feedback

• Channel-specific challenges

• Brand values and differentiators

• Pro tip: Keep a detailed description of your business context in a note that you can reference and modify for different queries.

3. Focus on What, Not How

Previous models needed detailed instructions about how to think through problems. With o1, focus instead on clearly defining what you want to achieve.

Instead of: "Help me with my pricing strategy..."

Try this: "I need a pricing framework for my premium pet supplements that will work across direct-to-consumer and marketplace channels. My brand stands for organic, human-grade ingredients, targeting urban pet owners who spend $100+ monthly on pet care. Current margin target is 45%. How should I structure pricing and positioning to maintain premium brand perception while competing with marketplace sellers who frequently discount?"

What o1 Actually Does Well for E-commerce

• Strategic Analysis: Excellent at evaluating complex market dynamics

• Brand Strategy: Strong at developing positioning approaches

• Cross-channel Planning: Effective at identifying opportunities across platforms

• Competitive Analysis: Skilled at suggesting differentiation strategies

• What o1 Still Struggles With

• Real-time Decisions: The response time makes it unsuitable for immediate operational choices

• Marketing Copy: It defaults to an academic tone that doesn't work well for customer-facing content

• Basic Questions: Save it for complex strategic challenges, not simple operational queries

• Direct Integration: Cannot access your platform data or analytics

The AI Evolution in E-commerce

We're moving from chat-based AI assistants to what are essentially AI analysts. The key is adapting our approach accordingly. Yes, o1 is slower and more expensive than previous models. But when used correctly, it can provide deeper insights and more actionable recommendations than its predecessors ever could.

Important Note: Unlike GPT-4o, o1 doesn't have access to file uploads, web browsing, or memory of previous conversations. This means all context needs to be clearly described in your prompt. For tasks requiring analysis of specific data files or current market information, consider using GPT-4o instead.

Remember: o1 isn't broken - you're just using it wrong. Take the time to provide comprehensive context and clear objectives in your prompts. The results will be worth it.

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😍It was great, all I needed

🙂Good, not great

🙄It sucked