About this plugin
A shift is happening in how people shop online.
” The AI doesn’t scroll Google. It reads product pages, parses structured data, and recommends what it finds most trustworthy and complete.
If your store isn’t structured for that, you’re invisible to it.
AI Store Signals for WooCommerce fixes that. It analyses every product in your store and gives it a concrete Agent Trust Score (0–100) based on eight readiness dimensions — then tells you exactly what to fix per product. It also makes your store machine-readable by generating the files and endpoints AI crawlers actually use, and tracks which AI bots are visiting.
txt file, this plugin’s core value is the per-product scoring engine and the actionable Quick Wins panel — a ranked fix list based on your actual catalog gaps.
What it does
Agent Trust Score — per product, 0 to 100
Every product gets an Agent Trust Score based on eight dimensions: product identity (SKU, GTIN, brand), content quality, schema markup, policies, AI-ready content, media, inventory clarity, and technical accessibility. The score tells you where you stand and what to fix first.
It’s not a vague “optimise your store” suggestion. It’s a concrete list — “47 products are missing a return policy schema” or “89 products have no GTIN” — so you know exactly what to do next.
txt — the file AI models use to understand your site
txt is an emerging standard that tells AI agents what your store sells, where your key pages are, and how to navigate your catalog. txt.
json — a clean product catalog for AI agents
This isn’t a shopping feed. It’s a structured JSON file designed specifically for AI consumption — clean product names, prices, stock status, SKUs, categories, and URLs in a format that AI crawlers can actually parse without fighting through HTML. json, paginated for large catalogs.
Schema markup audit
This plugin scans your product pages and flags missing or incomplete structured data — Product, Offer, Review, Brand, MerchantReturnPolicy. You see exactly which products have gaps and what those gaps are, without having to check Google Search Console or run manual tests.
AI crawler tracking
When GPTBot, ClaudeBot, PerplexityBot, Gemini, or Bingbot crawls your store, the plugin logs it. When someone lands on your store from ChatGPT, Perplexity, Claude, or Gemini, that referral is tracked too. You get a running count of AI-driven traffic so you can see whether your store is being found.
All tracking is GDPR-safe — only hashed IPs are stored, never raw addresses.
txt
Two more files that are becoming standard for AI agent discovery. AI Store Signals generates both automatically. Small detail, but AI agents expect them and check for them.
Quick Wins panel
The dashboard shows you the highest-impact things to fix first. Not a generic checklist — an actual ranked list based on your products. ”
Who this is for
If you run a WooCommerce store with real products and you care about where traffic comes from, AI Store Signals is worth installing. It takes about two minutes to set up and the first scan tells you immediately where you stand.
It’s especially useful if you:
- Sell physical products where identifiers (GTIN, EAN, UPC, MPN) matter
- Have a large catalog and have never audited your schema markup
- Want to understand if AI crawlers are already visiting your store
- Are thinking about AI referral traffic the same way you think about SEO traffic
Technical notes
- Scores are calculated in the background via WP-Cron in batches of 50 — no timeout risk on large catalogs
- Products are automatically re-scored when you update them in WooCommerce
- All generated feeds are cached and served with appropriate headers for crawlers
- The plugin adds three database tables on activation and removes them cleanly on uninstall (with your confirmation)
- HPOS (High-Performance Order Storage) compatible
AI Store Signals for WooCommerce also has a Pro add-on for stores that want to go further — the REST API, MCP Server for Claude Desktop, AI-generated FAQs and buyer intent, and full AI traffic analytics. See what’s included in Pro.