Large Language Model (LLMs) consideration for content strategy is here and it’s immediately important for brands. As large language model systems increase the power of search engines, chatbots, voice assistants, and shopping experiences, the way we write product detail pages needs to evolve. Traditional SEO is no longer enough, your copy must now make sense to AI, not just rank in Google.
This is where LLMO (Large Language Model Optimization) comes into play. Below I’m going to outline the key considerations for how to write PDP (product detail page) content that speaks to both your customers and the algorithms shaping a modern approach. For this I’m going to outline some of the use cases using an old client, Starkist, and show the nuance to it and ways to improve.
Semantic Clarity is Non-Negotiable
LLMs don’t just match keywords, they understand meaning. To this end it’s important to use direct, unambiguous language to describe:
What the product is
What it does
Who it’s for
Why it matters
Example:
Instead of “perfect for summer,” say “StarKist® Tuna Creations® Lemon Pepper is a ready-to-eat, seasoned tuna pouch made with wild-caught tuna, ideal for protein-packed lunches or healthy snacks.”
This allows AI systems to match your product to varied user queries like “quick protein lunch for work” or “ready-to-eat tuna with citrus flavor.”
Lead With Intent-Rich Phrases
LLMs prioritize early context in their indexing and content selection. The first sentence or paragraph should immediately answer:
What is this product?
What problem does it solve?
What category does it belong to?
Example:
“StarKist® Smart Bowls™ Latin Citrus is a high-protein, ready-to-eat tuna and grain bowl designed for healthy, on-the-go meals with bold flavor.”
This matches well with LLM queries like: “What’s a healthy high-protein lunch I can eat cold?”
Use Natural Language and Related Terms
LLMs excel at understanding synonym chains and conceptual relationships. Including varied, natural phrasing improves discoverability.
Instead of repeating “tuna pouch,” mix in terms like:
Ready-to-eat tuna
Wild-caught fish snack
High-protein seafood meal
Portable tuna lunch
What this does is increase semantic breadth making your page more likely to show up in generative search results, product comparisons, and AI recommendations.
Focus on Use Cases and Functional Descriptions
LLMs favor pages that are helpful and context-aware. Don’t just describe what the product is explain how, when, and why someone would use it.
Example:
“Whether you’re heading to the office, the gym, or on a road trip, this no-drain tuna pouch delivers bold lemon-pepper flavor and 17g of lean protein—anywhere, anytime.”
This aligns with LLM prompts like: “What’s a protein snack I can take to work?”
5. Add Structured Data (Even in the Copy)
While traditional schema markup is still important, embedding structured, scannable details in your copy helps LLMs extract facts more easily.
Include:
- Nutrition info (e.g., “17g protein per pouch, 110 calories”)
- Form (e.g., “tear-open, no-drain tuna pouch”)
- Ingredients (e.g., “wild-caught tuna, lemon juice, cracked pepper”)
- Audience (e.g., “great for busy professionals and fitness-focused eaters”)
This also improves compatibility with voice assistants and AI shopping agents.
6. Write Like You’re Answering a Question
LLMs often surface content in Q&A form. Your product page should answer the kinds of questions users might ask an AI assistant.
Examples:
- “Is StarKist tuna good for a high-protein diet?”
- “What does StarKist Lemon Pepper tuna taste like?”
- “Can I eat tuna pouches without cooking?”
Embed these answers in conversational, informative tones, without sounding like C3PO.
What Does It All Mean?
Optimizing your PDPs for LLMs means blending clarity, context, and customer-centered thinking into every sentence. It's about creating content that’s not just searchable, but "answerable" by the AI systems shaping your customers shopping behavior.
Write for people, structure for AI, and your product pages will show growth and possibly differentiate you from your competitors.
