We’re starting to see a shift in how traffic is discovered, especially with AI-powered search like Google SGE and tools like ChatGPT summarising results instead of sending users directly to websites.
For Shopify store owners, this raises a few questions:
Are product pages still getting the same organic visibility?
Is traditional SEO enough anymore?
How do we make sure our content/products are actually surfaced in AI-generated answers?
From what I’m seeing, structured content, entity clarity, and topical authority seem to matter more than ever — but it’s still pretty unclear what’s actually working in practice.
Curious to hear from others:
Have you noticed any drop or shift in organic traffic recently?
Are you adapting your SEO/content strategy for AI search?
Has anyone tested optimising for AI visibility specifically?
Feels like this could be a pretty big shift for eCommerce if it keeps going this way.
I’ve been watching this closely and yeah, it’s real. The click-through from Google has been dropping for a while now, even before SGE. Featured snippets already took a chunk, and AI overviews are accelerating that.
What I’ve noticed so far with the stores I work with: informational queries got hit hardest. Stuff like “best [product] for [use case]” used to drive a lot of traffic. Now Google just answers it directly. Product-specific and brand queries are holding up better because people still want to see the actual product page.
A few things that seem to help. Making sure your product data is structured properly (JSON-LD schema, clean titles, real specs instead of marketing fluff). AI models tend to pull from well-structured sources. Also having actual unique content on product pages rather than manufacturer descriptions that 50 other stores also use.
The biggest shift I think is that “being findable” isn’t just about ranking on Google anymore. You need to show up wherever people are researching. That could be Reddit, YouTube, TikTok, or even ChatGPT conversations. Diversifying traffic sources feels less optional now.
Have you noticed the drop more on specific product categories or across the board?
Yeah this is something I’ve been looking into quite closely actually. The short answer is yes — and the data backs it up pretty clearly.
Shopify reported in their Q4 2025 earnings that merchants with comprehensive Product schema markup saw 34% higher inclusion in AI shopping features. The problem is only about 12% of Shopify stores actually have it set up properly.
For supplement and health brands its even more of a challenge because AI treats these as credibility-sensitive categories. It wants structured data, third-party citations, and evidence-based content before it’ll recommend you. So the bar is higher than most product verticals.
The fix isn’t more SEO content — it’s restructuring your product data so AI can actually parse it. JSON-LD schema (Product, FAQ, Review) is the single fastest techincal win. Then building what I’d call “discovery pages” that answer the actual questions people ask AI — things like “best magnesium for sleep” rather than just “magnesium supplement.”
Happy to share more on what’s working if anyone’s intrested. We’ve been testing this across a few hundred queries and the patterns are pretty consistent.
These are the right questions. I’ve been testing AI visibility specifically for the last few months and here’s what I’m finding:
Traditional SEO isn’t enough anymore, but it’s still the foundation. Everything that makes your store rank well on Google clean site structure, proper meta tags, fast loading, good content also helps AI agents understand your store. The difference is that AI agents go a step further. They don’t just index your pages they try to understand what you sell, who it’s for, and whether to recommend you over competitors. That requires a different layer of optimization.
What’s actually working in practice for AI visibility:
Structured data matters more than ever. JSON-LD schema markup on your product pages tells AI exactly what your product is price, availability, reviews, attributes. Most Shopify stores have basic schema from their theme but it’s often incomplete or missing key attributes. Check your pages with Google’s Rich Results Test if your structured data is thin, AI agents are getting a thin picture of your products too.
Product descriptions need to be attribute-rich, not just persuasive. AI agents comparing products across stores are looking for specific details materials, dimensions, ingredients, compatibility, use cases. “Beautiful handcrafted mug” tells AI nothing useful. “12oz ceramic mug, hand-thrown stoneware, food-safe glaze, dishwasher safe, made in Vermont” gives AI everything it needs to match your product to a shopper’s query.
llms.txt is a newer signal worth paying attention to. It’s a file you host on your domain that gives AI agents a structured overview of your store think of it as a resume for your business that AI reads before deciding whether to recommend you. It’s still early but stores with llms.txt are giving AI agents more context than stores without one.
On the traffic shift question the honest answer is that most Shopify merchants can’t measure AI-referred traffic yet because it doesn’t show up as a distinct source in analytics. It typically appears as direct traffic or referral from chatgpt.com. So the drop you might be seeing in organic could partially be traffic shifting to AI channels without being properly attributed.
A practical test anyone can do right now: Go to ChatGPT and ask “recommend me a store for [your product category].” If your store shows up, look at how it describes you is it accurate? If it doesn’t show up, that’s your starting point for optimization. Then do the same on Perplexity and Gemini. The results vary across platforms, which tells you a lot about which AI agents have better access to your data.
Would be interested to hear if anyone else has done this test and what they found.