By Steve Merrill, Founder of WRKNG Digital | June 18, 2026
Most Shopify founders have no idea whether AI shopping assistants can even see their store. This 8-step routine takes 30 minutes and gives you a clear answer every single month.
We run this exact checkup for every client. Now you can run it yourself.
1. Verify AI Crawlers Can Access Your Store
Open your robots.txt file at yourdomain.com/robots.txt. Check that GPTBot, ClaudeBot, PerplexityBot, and GoogleOther are not blocked. If they are, ChatGPT and Perplexity cannot index your products, period. According to OpenAI's GPTBot documentation, a blocked crawler means zero AI-generated recommendations for your store.
2. Check Your Product Feed for Errors
Log into Google Merchant Center and pull your Diagnostics report. Look at your disapproved products and active warnings. A feed with more than 5% errors is a signal problem across every AI shopping surface, not just Google. Fix missing GTINs, incomplete descriptions, and mismatched pricing first.
3. Validate Your Product Schema Markup
Run three product URLs through Google's Rich Results Test. You want to see Product schema with name, image, offers, price, availability, and aggregateRating all present. Missing fields here directly reduce how often AI assistants surface your products in answer responses. No rating data means you're invisible in comparison queries.
4. Run a Competitor AI Visibility Scan
Open ChatGPT and Perplexity. Search for 3-5 of your core product categories: "best [product type] for [use case]." Write down which brands appear and which ones don't. If your competitors show up and you don't, you have a structured data gap, not a content gap. Do this monthly. The rankings shift faster than Google.
5. Audit Your Review Signal Health
AI shopping assistants weight review signals heavily when making recommendations. Check three things: total review count, average rating (you want 4.2 or higher), and recency (at least 10 new reviews in the last 30 days). PowerReviews research shows products with fewer than 25 reviews are significantly less likely to be recommended by AI assistants in competitive categories. If you're thin on reviews, that's the next fire to put out.
6. Identify Your Channel Coverage Gaps
Pull up Google Search and search your brand name plus your top three product categories. Note which surfaces are active: Google Shopping tab, AI Overviews, ChatGPT Shopping, Bing Shopping. Every surface you're missing is a channel gap. Make a list. Prioritize by which surface your customer is actually using. Right now, that means ChatGPT Shopping is the highest-growth channel to close first.
7. Score Your Product Descriptions Against AI Query Patterns
Pick your top 10 SKUs by revenue. Read each description out loud as if you were answering the question: "Is this the right product for someone who needs [use case]?" If you can't answer that in the first two sentences, neither can an AI. Good AI-visible descriptions answer who it's for, what problem it solves, and what makes it different. That's it. Rewrite any that don't pass that test.
8. Monitor Your Brand in AI-Generated Answers
Set up a simple tracking sheet. Each month, search 10 high-intent prompts across ChatGPT, Perplexity, and Google AI Overviews. Record whether your brand appears, where it appears, and what the AI says about you. This is your baseline. According to SparkToro's AI search traffic research, brands that actively monitor and respond to AI answer patterns show measurable citation improvement within 60-90 days of making targeted content changes. No monitoring means no feedback loop.
Do This Every Month
The stores that win in agentic commerce aren't doing heroic work. They're doing this routine every month.
30 minutes. 8 checks. You'll know exactly where you stand.
I've watched brands ignore this for six months and wonder why their AI traffic is flat. I've watched others run this monthly and close gaps systematically. The difference in visibility compounds fast.
If you want to see how your store scores before you run this yourself, we built a tool for that. Start here: wrkngdigital.com/agentic-commerce-landing-page
Frequently Asked Questions
How long does this monthly checkup actually take?
30 minutes if you run it regularly. The first time takes closer to an hour because you're setting up your tracking sheet and learning where to find each data point. After that, it's a fast monthly scan. Build it into the first Monday of every month and it becomes automatic.
Do I need technical help to run these checks?
No. Every step uses free tools that require no coding. Google's Rich Results Test, Google Merchant Center, and a basic spreadsheet are all you need. The only step that requires a developer is fixing your robots.txt if AI crawlers are blocked. That's a five-minute fix.
What if my competitors are showing up in AI answers and I'm not?
That's a structured data problem first, and a content problem second. Start with steps 1, 2, and 3 from this checkup. In our experience auditing Shopify stores, blocked crawlers and missing schema account for more than 70% of AI invisibility issues. Fix those before touching your content.
How often should I actually run this routine?
Monthly is the minimum. AI shopping surfaces update faster than traditional search. A competitor could add structured data this week and start ranking in AI answers within days. Monthly monitoring catches those shifts before they compound against you. Some of our clients run a lighter version of steps 4 and 8 weekly.
Is this enough to get my store recommended by AI shopping assistants?
This routine tells you where the gaps are. Closing them requires action. But you can't fix what you can't see. Most founders I talk to have never run a single check from this list. Starting here puts you ahead of most of your competitors immediately.
