Episode Details

E1107: E-commerce SEO is no longer only about ranking product and category pages in Google. AI search tools are also surfacing filtered URLs, faceted navigation pages, intent-based collections, and detailed product pages for highly specific buying queries.

I speak with Gagan Ghotra and Harpreet Singh about how e-commerce brands can improve visibility in Google, ChatGPT, AI Overviews, and AI Mode without creating crawl problems, duplicate pages, or large amounts of low-value content.

We explain how ChatGPT can surface faceted URLs for searches such as TVs under a certain price, products in a specific size, or items that match multiple attributes. The discussion also covers why some of these pages may appear in AI search even when they are canonicalized, noindexed, or not designed to rank in traditional search.

Topics covered: - How faceted navigation works on e-commerce sites - Why filtered URLs are appearing in AI search results - How ChatGPT query fan-out creates detailed buying searches - When faceted navigation helps SEO and when it causes crawl waste - How to manage indexation, canonicals, robots.txt, and duplicate URL combinations - Why Wayfair's keyword and search pages are worth studying - How intent-based category pages can capture searches that standard product categories miss - Why pages such as airport outfits, graduation dresses, products for sleep, and holiday sale pages can convert well - When scaling category and collection pages becomes risky - How much unique content similar collection pages actually need - Why site size, authority, internal links, demand, and revenue data should guide page creation - How scaled AI content can damage the wider site, not only the blog - What e-commerce brands can learn from major organic traffic declines - Why product options hidden behind JavaScript should also be explained in visible text - How to write useful collection-page copy without keyword stuffing - Where collection-page content should appear in relation to the product grid - How FAQs, comparisons, buying guidance, and product education can support conversions - How to optimize product descriptions, product variants, specifications, certifications, and use cases - How to write unique image alt text for different product images and angles - Why related-product sections should contain genuinely related items - How to use internal site-search data to find bottom-of-funnel page ideas - Why Black Friday, Cyber Monday, Mother's Day, Father's Day, and other sale pages should stay live year-round - How Google Merchant Center is beginning to report product-feed performance in AI search

The episode focuses on a practical balance: create pages that match real customer demand, explain products clearly, and help people make buying decisions, while avoiding uncontrolled URL growth and content created only to increase page count.

⭐️ Ep 1081 - Google Merchant Center Mistakes Killing Your Ecommerce Revenue - https://www.youtube.com/watch?v=iIyAv_Li1qA

⭐️ Gagan Ghotra on 𝕏 - https://x.com/gaganghotra_ ⭐️ Gagan Ghotra on LinkedIn - https://www.linkedin.com/in/gagan-ghotra/ ⭐️ Gagan Ghotra's website - https://gaganghotra.com/

⭐️ Harpreet Singh's Personal Site - https://harpsdigital.com ⭐️ Harpreet on X - https://x.com/harpreetchatha_ ⭐️ Harpreet's Newsletter - https://seoespresso.com ⭐️ Harpreet on LinkedIn - https://linkedin.com/in/harpreetsingh8/ ⭐️ Harpreet on TikTok - https://tiktok.com/@seoharp ⭐️ Harpreet on YouTube - htt