Presented at the Forum for Naturals Summit · Expo West 2026
By Chuck Aikens, Founder, Tymoo · March 3, 2026
This is the companion resource page for the Forum for Naturals Summit presentation at Expo West 2026. Everything from the talk — every framework, tool, decision matrix, and action item — is here so you can share it with your team and start implementing.
The Digital Shelf Moved
AI shopping assistants — ChatGPT Shopping, Perplexity Shopping, Google AI Shopping, and Shopify's AI in the Shop app — are becoming the new product discovery layer. They don't browse your site the way a human does. They read your structured data, your FAQ answers, your schema markup, and your product attributes. Then they decide whether to recommend you or skip you.
This is agentic commerce: AI agents that browse, compare, and transact on behalf of shoppers. When someone types "find me a clean-label protein powder for smoothies," the agent reads product data from dozens of brands in seconds. The brands with clear, structured, fact-forward product information get surfaced. The brands with vague marketing copy and beautiful images that contain no extractable text get passed over.
"This isn't about ranking on Google anymore. It's about being recommendable by machines."
Not a Website Problem. A Product Data Problem.
Most product pages were built for human shoppers — beautiful lifestyle photography, emotional storytelling, art-directed product shots. AI doesn't see any of that. It reads your product title and H1 text, structured attributes and key facts, FAQ answers in plain text, JSON-LD schema markup, and your price, availability, and identifiers.
The good news: you don't need to rebuild your site. You need to organize what you already know about your products.
The PDP Visibility Framework
We built a 100-point PDP Visibility Rubric that scores product pages across 10 dimensions. The presentation focused on the three that matter most, but here's the full framework:
Hero Clarity — Your H1 and first 100 words must state what the product is and what it's for. Not "experience the power of nature." Instead: brand name + product type + variant + key benefit.
Key Facts Block — A scannable, text-based block of hard attributes in the top third of the page. Eight or more attributes across Pack, Attribute, Composition, and Trust signals.
Product FAQs — 5–7 product-specific Q&A pairs that answer the last questions before "Add to Cart."
Intent Matching — Jobs-to-be-done framing: who is this for and when do they use it.
Product Truth — Ingredients, formulation details, sourcing — what's in it and how it's made.
Sensory Cues — Taste, texture, smell, feel — the experiential information shoppers can't get from a screen.
Comparison Logic — Variant choosers, "vs." content, and product-to-product differentiation.
Trust & Reviews — Star ratings, review count, certifications, and third-party validation visible in text.
Agentic Readiness — JSON-LD Product and Offer schema with name, brand, price, currency, availability, and URL.
Frictionless Next Step — Shipping, returns, and subscription clarity near the CTA.
The top three dimensions — Hero Clarity, Key Facts Block, and Agentic Readiness — account for 34 of the 100 points. Start there.
Hero Clarity: The First 100 Words
AI models and busy humans operate on a top-down hierarchy. The first 100 words of your product page need to do heavy lifting. Pivot from "herbal storytelling" to what we call Functional Fact-Loading.
The Hero Clarity Formula:
[Brand + Product Name] is a [Category/Form Factor] designed to [Primary Action] for [Specific Condition] using [Main Ingredient/Mechanism]. This liquid formula provides [Speed of Action] relief by [Scientific/Biological Benefit], making it an ideal alternative to [Common Alternative]. It is [Purity/Safety Fact] and [Usage Detail].
Every bracketed slot is a fact. No adjective padding. No brand mythology. Just the information AI agents — and busy shoppers — need to decide in seconds whether this product matches their query.
The PACT Framework for Key Facts
Each Key Fact bullet on your product page should carry one of four signal types:
P — Pack Signal: What exactly am I buying? Count, dosage, size, format. Without this, the AI agent has to infer.
A — Attribute Signal: Does this match my constraints? Certifications, diet claims, allergens, free-from. The hard yes/no gates AI agents use to include or exclude.
C — Composition Signal: What's the active mechanism? The hero ingredient plus its biological action. This builds the knowledge graph connection.
T — Trust Signal: Why should I believe it? Third-party validation, sourcing, testing. The "reasons to recommend" AI agents need to cite with confidence.
If a Key Fact bullet doesn't carry at least one PACT signal, it's probably filler. Cut it or rewrite it.
Three Layers That Make Your Brand AI-Shoppable
The solution isn't a technology overhaul. It's a content architecture with three layers, each serving a different purpose.
Layer 1: PDP FAQs (Product-Level)
Every product page gets 5–7 FAQs specific to that product. These answer the questions a shopper asks right before buying: "What does this taste like?" "Is this safe during pregnancy?" "How is this different from the capsule version?"
Each answer should be 40–60 words, front-loaded with the direct answer, then context. This format is exactly what AI needs to pull a clean, quotable response.
Focus areas: taste/texture, suitability, comparisons, format advantages, and "why this way" questions. NOT shipping or returns — those belong in Layer 2.
The Swap Test
Take any FAQ answer and swap the product name. If the answer stays the same, it's a brand-level question — move it to Layer 2. If the answer changes, it's a product-level question — keep it on the PDP.
Most brands have brand questions cluttering their product pages. The swap test fixes that in one pass.
Layer 2: Brand FAQ Page (Brand-Level)
One central FAQ page for the whole brand. This covers everything that applies across all products:
Policies: Shipping, returns, exchanges, payment methods, subscription terms
Certifications: USDA Organic, Non-GMO, B Corp, cruelty-free, Whole30, kosher
Brand Story: Sourcing philosophy, founder story, mission, values, sustainability
Trust & Safety: Testing protocols, allergen handling, facility certifications, quality standards
Format: 50–150 words per answer. Include FAQPage JSON-LD schema. Host on a dedicated /faq page. Review quarterly.
"When an AI agent wants to know if you ship internationally or are B Corp certified, this is where it looks."
Layer 3: The Knowledge Base App (AI Agent Layer)
Shopify launched this free app in Summer 2025. It feeds information directly to AI shopping agents — ChatGPT Shopping, the Shop app, and others. It's not visible on your storefront. It's a backend intelligence layer that only AI agents access.
It auto-generates FAQs from your store data. You review, customize, and override. Mirror everything from Layers 1 and 2 into Layer 3 so AI agents have the full picture.
The Gold Metric: Unanswered Questions
The Knowledge Base tracks every question AI agents ask that you haven't answered yet. Every unanswered question is a shopper who didn't get the information they needed to buy from you.
Check it monthly. Write answers. Feed them back into Layers 1 and 2. That's the compounding loop that makes the whole system smarter over time.
The Decision Matrix: What Goes Where
Hand this cheat sheet to your content team:
Question Type | Where It Lives |
Taste / Texture | PDP FAQ → Mirror in Knowledge Base |
Product Comparisons | PDP FAQ → Mirror in Knowledge Base |
Ingredients / Formula | PDP FAQ → Mirror in Knowledge Base |
Shipping / Returns | Brand FAQ Page → Mirror in Knowledge Base |
Certifications / Values | Brand FAQ Page → Mirror in Knowledge Base |
Subscription Terms | Brand FAQ Page → Mirror in Knowledge Base |
"Which is right for me?" | Knowledge Base Only (dynamic, personalized) |
Stock / Availability | Knowledge Base Only (real-time data) |
Schema Markup: Not Dead, Just Redirected
Google restricted FAQ rich results in 2023 and many brands pulled their FAQPage JSON-LD. That was a mistake. AI systems still read FAQPage schema. Schema is now an AI play, not a SERP feature play. If you pulled it, put it back.
At minimum, ensure your product pages include JSON-LD Product schema (name, brand, identifiers) and Offer schema (price, currency, availability, URL). If an AI agent can't verify your price and availability — or finds mismatches between your schema and what's visible on the page — it may refuse to recommend or transact.
Your Action Plan
Next Week: Quick Wins (No Dev Team Required)
1. AI Recommend Test — Pull up your best-selling PDP. Ask a real shopper question. Can you answer from the text alone?
2. Run the Swap Test — Check your existing FAQs. Any answer that doesn't change when you swap the product name? Move it to your Brand FAQ page.
3. Check FAQ Schema — If you pulled FAQPage JSON-LD after Google's 2023 change, put it back. AI still reads it. Q&A pairs are good for AI Overviews.
4. Rewrite One Product — Rewrite one product's FAQs using the 40–60 word rule. Direct answer first. Add context. Keep it tight.
This Month: Build the System
1. Knowledge Base App — Install the Shopify Knowledge Base app. Free. Takes an hour to configure.
2. Brand FAQ Page — Create or update your central Brand FAQ page with policy and brand-level Q&A.
3. PDP FAQs — Write 7 product-specific FAQs for your top products using the 40–60 word format.
4. Score Your Top PDPs — Focus on Hero Clarity, Key Facts, and Agentic Readiness first — those three sections alone are worth 34 points.
5. Audit Titles — Lead with facts, not vibes. Brand name + product type + variant + size + key differentiator.
This Quarter: Stay Ahead
1. Unanswered Questions — Check the Knowledge Base monthly. Every unanswered question is a content gap and a lost shopper.
2. Feed Back to PDPs — Route unanswered product questions back into PDP FAQs as new Q&A pairs.
3. Feed Back to Brand — Route unanswered policy questions back to the Brand FAQ page.
4. Quarterly Refresh — Update all product FAQs quarterly. New questions emerge. Seasons change. Products evolve.
5. Secret Shop in AI — Search your products in ChatGPT, Perplexity, and Google AI. Ask the questions your shoppers ask. See what comes back.
Free Tools
PDP Optimizer for CPG 2026 — A Custom GPT. Paste any product page URL and get a full analysis against the visibility framework.
CMO Charlie — AI-powered marketing tools for CPG brands, including persona building, brand clarity, NLP keywords, content chunking, and blog grading.
Further Reading
AI agents are the new shelf space. Your product data is your pitch.
Start with one product. Score it. Fix it. Build from there.