By Steve Merrill, Founder of WRKNG Digital — July 28, 2026
Why are most Shopify DTC brands still running a 2020 marketing playbook?
Because it still works, just less every quarter. Meta ads plus Google SEO built a lot of good stores between 2018 and 2021. Most brands never updated the plan. They are optimizing hard for a world that is quietly moving somewhere else.
Look at where the money and the attention go. Two channels. Meta for demand. Google for search. That was the whole map five years ago, and for a lot of founders it still is.
Meanwhile product discovery is moving to AI assistants. People ask ChatGPT for the best running shoe under $150. They ask Perplexity which standing desk holds up. They ask Gemini for a gift. The assistant names brands. If you are not one of them, you were never in the room.
What does an ignored platform shift actually cost?
It costs the whole company. I know because I lived the pattern on the other side of this exact mistake, and I picked wrong.
Before WRKNG Digital I ran a clothing company for about 15 years. Grew it to roughly $10 million a year. For a long stretch we ran on organic Facebook. Free reach. We were pulling around $50,000 a month in sales off content that cost us nothing to distribute.
Then Facebook changed the algorithm. Organic reach for business pages fell off a cliff. My $50,000 a month in free sales dropped to about $2,000 almost overnight.
Here is the part I am not proud of. I didn't adapt. I kept waiting for the old reach to come back. I told myself it was a blip. It wasn't a blip.
The brands that moved fast onto paid acquisition, the ones who learned the ad platform when it was still cheap and messy, they compounded. A few competitors I watched closely went from our size to $80 million while I sat there defending a channel that was already gone. Same market. Same products, more or less. Different decision at the fork.
The platform didn't punish me for being wrong. It punished me for being slow.
How is AI shopping the same shift all over again?
It is the same shape. A cheap, early channel opens up, most people ignore it because the old one still pays, and a small group learns it before it gets crowded. Discovery moves, and the brands already sitting in the new channel win the compounding.
The numbers are moving fast. Adobe reported that traffic to U.S. retail sites from generative AI sources jumped more than 1,200% during the 2024 holiday season versus the year before, and kept climbing into 2025 (Adobe Analytics). Gartner projects traditional search engine volume will drop 25% by 2026 as buyers shift to AI assistants (Gartner). And Shopify has already wired its catalog into ChatGPT so shoppers can find and buy Shopify products inside the chat (Search Engine Land).
Read that again. The store platform you are already on built the pipe into the assistant. The question is whether your products come up when someone asks.
Why doesn't the 2020 playbook cover this?
Because the old playbook optimizes for a link and a click. You rank a page, someone clicks, they land on your site, you sell. The AI assistant skips most of that. It reads the web, decides who to name, and hands the shopper a short list.
Ranking number four on Google still gets you traffic. Being the fourth brand an assistant considers but doesn't mention gets you nothing. There is no page two to scroll. The answer is the answer.
So the work changes. Clean product data the assistant can parse. Content that answers the real buying questions in plain language. Reviews and third-party mentions that tell the model you are a real, trusted option. This is close to SEO, but the target reads differently and rewards different things.
What should a Shopify DTC operator do this quarter?
Start by finding out if you exist in the new channel at all. Open ChatGPT, Perplexity, and Gemini. Ask the exact questions your customers ask before they buy. Write down which brands get named.
If you never show up, that is your $2,000-a-month moment. The channel already shifted. You just haven't looked yet.
Then fix the plumbing. Make your product feed complete and specific. Attributes, materials, sizing, use cases, all of it. Write content that answers buying questions directly instead of chasing keyword volume. Get mentioned on the sites and lists the assistants already trust. I've watched stores go from invisible to cited in a matter of weeks once the data was clean. It is not magic. It is being early and being readable.
You don't have to kill Meta or Google. Keep them running. Just stop pretending they are the whole map when a third channel is already sending buyers to your competitors.
The bottom line
I ran a great 2015 playbook straight into 2018 and it cost me tens of millions in the difference between $10M and where I could have been. Nobody was going to save me from that. The channel moved and I didn't.
The founders who move on AI-assistant discovery now, while it is early and cheap and mostly empty, are going to look like geniuses in three years. The ones who wait for proof will be reading a case study about someone else.
If you want to see where your store stands in AI search, and what to fix first, start here: WRKNG Digital agentic commerce.
FAQ
Are Meta ads and Google SEO dead for Shopify DTC brands?
No. They still work and still drive revenue. The problem is treating them as your only two channels while AI-assistant discovery grows fast and gets almost no attention from most brands.
How do people actually buy through AI assistants?
Shoppers ask an assistant like ChatGPT, Perplexity, or Gemini for a recommendation. The assistant reads product data, reviews, and content, then names specific brands. If your store is not in that answer, you are not in the consideration set at all.
What is the first thing a Shopify store should do about AI search?
Check whether AI assistants mention you today for the questions your buyers ask. Run those same prompts yourself. If your brand never shows up, that is the gap. Then fix your product data and content so assistants can read and cite you.
Is it too early to invest in AI-assistant visibility?
It is early, and that is the point. Early movers on any platform shift compound while everyone else waits for proof. By the time it is obvious, the brands cited first have already built the trust and the data footprint that keeps them there.
