EPISODE · May 14, 2026 · 11 MIN
Episode 12: 5 Layers of product data optimisation
from Product Data Weekly · host Ben Adams
Most teams try to fix their product pages by jumping straight to descriptions or AI search tools. Which feels like progress but is usually why nothing improves.In this episode, Clare walks through the five layers of product data optimisation and why doing them out of order is the reason so many product data projects stall. We cover what each layer does, what breaks when you skip ahead, and where the AI surfacing question actually fits in.If your product pages aren't performing and you can't quite say why, start here.Episode Breakdown 00:00 – Why this is a layered approach, not a checklist 02:04 – Layer 1: basic data and mandatory attributes 03:20 – Layer 2: readability and why descriptions need foundations first 05:30 – Layer 3: product relations, variants and substitutes 06:45 – Layer 4: structured data and why AI needs it 09:30 – Layer 5: product expertise as competitive advantage12:30 – Where to find product expertise inside your business13:08 – How to audit your catalogue against the five layers14:30 – Common mistakes teams make with the five layersKeywords: product data, e-commerce, product data optimisation, product attributes, structured data, product descriptions, AI search, agentic AI, product relations, PIM, conversion rate, digital transformationResources Product Data Weekly Newsletter – https://productdataweekly.com
What this episode covers
Most teams try to fix their product pages by jumping straight to descriptions or AI search tools. Which feels like progress but is usually why nothing improves.In this episode, Clare walks through the five layers of product data optimisation and why doing them out of order is the reason so many product data projects stall. We cover what each layer does, what breaks when you skip ahead, and where the AI surfacing question actually fits in.If your product pages aren't performing and you can't quite say why, start here.Episode Breakdown 00:00 – Why this is a layered approach, not a checklist 02:04 – Layer 1: basic data and mandatory attributes 03:20 – Layer 2: readability and why descriptions need foundations first 05:30 – Layer 3: product relations, variants and substitutes 06:45 – Layer 4: structured data and why AI needs it 09:30 – Layer 5: product expertise as competitive advantage12:30 – Where to find product expertise inside your business13:08 – How to audit your catalogue against the five layers14:30 – Common mistakes teams make with the five layersKeywords: product data, e-commerce, product data optimisation, product attributes, structured data, product descriptions, AI search, agentic AI, product relations, PIM, conversion rate, digital transformationResources Product Data Weekly Newsletter – https://productdataweekly.com
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Episode 12: 5 Layers of product data optimisation
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