Something has quietly changed about how people shop online. A growing number of buyers no longer type a search query and scroll through results — they ask an AI. "What's a good lightweight running shoe under $100?" "Where can I buy a WooCommerce store that ships to Canada?" And the AI responds with specific product recommendations, prices, and direct links to buy.
ChatGPT Shopping, Perplexity Shopping, and Google's AI Mode are already doing this for millions of searches every day. The stores that appear in those recommendations didn't get there by accident. They got there because their product pages give AI agents exactly what they need to read, understand, and recommend them.
Most WooCommerce stores don't. Not because the products aren't good — but because the technical signals AI agents rely on are missing.
8 signals
AI shopping agents check before recommending your store — from product schema and pricing markup to your robots.txt and return policy. Most WooCommerce stores fail at least three.
What AI Shopping Agents Actually Do
Before a recommendation, an AI shopping agent crawls your store and reads its structured data — machine-readable code that tells it what you sell, how much it costs, whether it's in stock, and whether your store is trustworthy enough to recommend.
Think of it like a very literal, very fast reader that ignores everything it can't parse. If your product page has a beautiful description but no structured data, the AI sees a blank. If your robots.txt blocks its crawlers, it never gets there at all.
The good news: most of what AI agents need, WooCommerce can generate automatically — you just need to make sure it's switched on and complete.
The 8 Things AI Agents Check on Your Store
1. Product Structured Data (20 points)
This is the single most important signal. AI shopping agents identify and understand your products through Product schema — JSON-LD code that tells them the product name, description, image, and associated offers.
WooCommerce generates basic Product schema out of the box, but it's often incomplete. The critical detail is whether your schema includes an offers property with price and availability data. Without it, AI agents can see you sell something, but not what it costs or if it's available.
How to check: Use Google's Rich Results Test on one of your product pages. Look for a Product item with a nested Offer.
How to fix: Install Rank Math (free) or Yoast SEO with the WooCommerce add-on. Both generate complete Product schema automatically from your existing product data — name, price, stock status, images.
2. Price and Availability Markup (15 points)
Even if you have Product schema, many stores miss the availability field in their Offer markup. AI agents use this to show whether your product is in stock, out of stock, or available for pre-order — directly in their recommendations.
A recommendation that says "Available at [store] — $49.99, In Stock" gets clicked. One that just lists your store name does not.
How to fix: In your WooCommerce product settings, make sure stock management is enabled and your stock status is set correctly. Most SEO plugins will automatically pull this into your schema. The key JSON-LD field looks like:
"availability": "https://schema.org/InStock"
3. AI Crawler Access in robots.txt (15 points)
This one stops stores cold before any of the above matters. If your robots.txt blocks AI crawlers, no AI agent can ever read your products — no matter how good your schema is.
The main AI crawlers to allow:
- GPTBot — OpenAI (ChatGPT)
- ClaudeBot — Anthropic
- PerplexityBot — Perplexity
- Google-Extended — Google AI Mode
- OAI-SearchBot — ChatGPT search
Some WordPress security plugins, managed hosting configurations, and even some WooCommerce setups add blanket Disallow: / rules or block these agents by name — usually without the store owner knowing.
How to check: Visit yourstore.com/robots.txt and look for any Disallow: rules affecting these agents.
How to fix: Add explicit allow rules above any wildcard disallow in your robots.txt:
User-agent: GPTBot
Allow: /
User-agent: ClaudeBot
Allow: /
User-agent: PerplexityBot
Allow: /
User-agent: Google-Extended
Allow: /
In WordPress, you can edit your robots.txt via Settings → Reading or using the Rank Math robots.txt editor.
4. Product Reviews and Ratings (12 points)
AI agents surface product ratings alongside recommendations. If your products have reviews but your schema doesn't include AggregateRating markup, those five-star ratings are invisible to AI — and to Google's rich results.
This is especially common on WooCommerce stores that use a third-party review plugin. The plugin adds visual stars to the page, but if it doesn't output AggregateRating JSON-LD, AI agents see no evidence the product has been reviewed at all.
How to fix: Ensure your SEO plugin is configured to pull WooCommerce review data into your Product schema. The required fields are:
"aggregateRating": {
"@type": "AggregateRating",
"ratingValue": "4.7",
"reviewCount": "43"
}
If you're using a reviews app, check that it's compatible with your SEO plugin's schema output. Run the Rich Results Test to confirm the AggregateRating appears.
No reviews yet? Start asking for them now.
5. Merchant Policies — Shipping and Returns (10 points)
Google Shopping AI and Perplexity Shopping explicitly check for shipping and return policies before recommending a merchant. The logic is simple: if a store doesn't clearly communicate its policies, it's a trust risk — and AI agents won't recommend trust risks.
How to check: Look at your homepage and footer. Do you have clear links to a Shipping Policy and a Return Policy page?
How to fix: Create both pages if they don't exist. Add links in your footer. Then, for full AI compatibility, add MerchantReturnPolicy structured data to your return policy page:
{
"@type": "MerchantReturnPolicy",
"applicableCountry": "US",
"returnPolicyCategory": "https://schema.org/MerchantReturnFiniteReturnWindow",
"merchantReturnDays": 30,
"returnMethod": "https://schema.org/ReturnByMail",
"returnFees": "https://schema.org/FreeReturn"
}
This lets Google Shopping AI display your policy directly in search results.
6. Breadcrumb Navigation Schema (10 points)
Breadcrumb schema tells AI agents how your products fit into your store's category structure. This is how an agent knows your product is in "Women → Shoes → Running" rather than just floating in isolation — context that matters when someone asks for a category recommendation.
How to fix: Most SEO plugins generate breadcrumb schema automatically if you have breadcrumbs enabled in your WooCommerce theme. In Rank Math: SEO → Titles & Meta → Global Meta → enable breadcrumbs. In Yoast: enable breadcrumbs in the plugin settings and add the breadcrumb shortcode or function to your product page template.
7. Business Identity Schema (10 points)
AI agents want to know who they're recommending. An Organization schema on your homepage with your business name, URL, and logo establishes your merchant identity — allowing AI assistants to show your brand correctly and consistently in recommendations.
How to check: Run your homepage through Google's Rich Results Test. Look for an Organization item with name, url, and logo.
How to fix: Both Rank Math and Yoast let you set your Organization details under their general settings. This gets automatically output as JSON-LD on your homepage. Make sure you've uploaded a logo (ideally 600×60px or larger).
8. Product Images with Descriptive Alt Text (8 points)
AI agents use alt text to visually categorise your products. Generic alt text like "product-image-3.jpg" tells them nothing. Descriptive alt text like "Dark navy wool peacoat with double-breasted buttons, size M" gives them exactly the context they need to surface your product for relevant queries.
How to fix: In WordPress, edit each image in your Media Library and update the Alt Text field. For existing product images, you can bulk-update using the free Alt Text Generator — paste in your product name and description, and it generates optimised alt text you can copy directly.
How Your Store Scores Right Now
Rather than checking all eight of these manually, you can run your store through the free website audit tool — which includes a dedicated AI Agent Readiness tab. It checks all eight signals automatically, gives you a score out of 100, and tells you exactly what to fix.
Most WooCommerce stores score between 30–60 on their first run. A score above 85 means you're well-positioned to appear in AI shopping recommendations.
85+
The score you need to be considered 'well optimised for AI shopping agents'. Most stores start between 30–60. The fixes above are enough to get most stores there.
Why This Matters Now
AI shopping is not a future trend — it's happening at scale today. ChatGPT has over 200 million weekly users. Perplexity serves over 100 million searches a month. Google's AI Mode is rolling out globally. A meaningful percentage of those users are asking for product recommendations, and the stores appearing in those responses are capturing buyers who have essentially already decided to purchase.
The barrier to getting there is low. Most of the fixes above take under an hour with a modern SEO plugin — and once they're in place, they work automatically for every product you add.
The stores that set this up now will have a structural advantage over those who wait.
WooCommerce does most of this automatically — you just need the right plugin.
Your Action Plan
- Run the free audit — check your store's AI readiness score and see exactly which signals are missing
- Install or configure Rank Math — set up Organization details, enable WooCommerce schema, and connect it to your product reviews
- Check your robots.txt — visit
yourstore.com/robots.txtand add allow rules for GPTBot, ClaudeBot, and PerplexityBot - Create policy pages — if you don't have dedicated Shipping Policy and Return Policy pages, create them today and link them in your footer
- Update product alt text — start with your top 10 best-sellers
Key takeaway
