When shoppers ask AI what to buy, is your store the answer?
Product research is moving into chat. "Best running shoes for flat feet," "gift for a coffee nerd" - AI answers with specific products and links. Viz shows you whether yours make the list, and what the machines are doing on your store in the meantime.
Your store is being read, ranked, and recommended without you.
AI shopping advice is a black box
Assistants recommend products every day. You can't see which stores they pull from, whether yours is one of them, or which competitor owns the answer.
Scrapers love product pages
Price scrapers, training crawlers, and agents hammer catalogs harder than any other page type - unmeasured load, and your pricing data walks out the door.
"Direct" orders that aren't
A shopper who clicks through from a ChatGPT recommendation books as direct traffic. The channel driving new orders gets zero credit in your reporting.
Built for stores. Native to WooCommerce.
Run WooCommerce? Viz detects it and uses your product categories to suggest the shopping prompts worth tracking - no blank-page setup.
Track shopping prompts
Monitor the buying questions that matter for your catalog across the major AI engines - whether you're recommended, cited, and how you rank against competing stores. AI visibility →
Control the scrapers
See every bot hitting your product pages, then decide who stays. Block aggressive AI scrapers with enforced 403s while search engines keep indexing normally. AI Control →
Attribute AI-referred orders
With GA4 connected, Viz shows sessions, engagement, and conversions from AI-assistant referrals - so recommendations turn into revenue you can count.
Product data is exactly what machines read best - and take fastest.
A product page is the most machine-legible content on the web: a name, a price, specifications, availability, reviews. That is why catalogs attract more automated traffic than any other page type - price-comparison scrapers, training crawlers, retrieval bots assembling shopping answers, and increasingly, agents acting for a single shopper. Each reads the same page for a very different reason, and each deserves a different response from you.
The distinction matters commercially. A retrieval bot fetching your product page to answer "best espresso grinder under $300" can put you in front of a buyer at the exact moment of decision - that crawl is marketing. A competitor's price scraper hitting the same page hourly is extraction with zero upside. Treat them identically - block everything, or allow everything - and you either give away your pricing feed or opt out of AI shopping recommendations entirely.
This is why classification, not raw bot counts, is the useful measurement. Once you can tell scraper from shopper-assistant from search indexer on your own server logs, the policy almost writes itself: keep the bots that put products in front of buyers, throttle or block the ones that only take, and watch whether AI-referred sessions actually convert once they land.
Common questions, straight answers.
Do AI assistants actually send shoppers to stores?
Yes, and increasingly with intent. AI shopping referrals tend to land deep - on a specific product page rather than your homepage - because the assistant already narrowed the choice. Session counts are still small for most stores, but conversion behavior skews high-intent, which is exactly why the channel deserves attribution before it gets big.
Will blocking scrapers hurt my Google Shopping presence?
Not if you block precisely. Googlebot and the crawlers behind shopping surfaces are classified separately from third-party scrapers and AI training bots. Viz's per-bot controls let you refuse a price scraper without touching anything Google or Bing runs.
How does WooCommerce detection help?
Viz reads your product categories to suggest the shopping prompts worth tracking - the "best X for Y" questions a buyer of your catalog would ask an assistant. You start from a relevant list instead of a blank page, then edit it to match how your customers actually talk.
Can bots inflate my conversion-rate denominators?
They routinely do. Bot visits that slip into analytics as sessions depress conversion rate and pollute funnel metrics. Because Viz classifies at the server, you can see how much of your raw request volume is automated and read your human metrics with that context.
AI shopping agents are supposed to buy things soon. Should I prepare?
Prepare by measuring, not guessing. Agent traffic - AI acting for a specific shopper - is one of Viz's eight categories, so when agents start browsing your catalog you will see it as it happens rather than read about it in an industry report. The stores that notice agent traffic early get first crack at deciding how to treat it: welcome it, rate-limit it, or route it - all decisions that start with seeing it.