Track · Product Tracking

Track how AI recommends your products.

Product Tracking is Spyglasses' AI visibility monitoring for products. Anchored to a real product page, it tracks how ChatGPT, Gemini, Claude, and Perplexity recommend your products, measures recommendation share against competitors, and shows the sources AI trusts when it answers what to buy.

Product Tracking at a glance
  • Tracking anchors to a product URL you pick; the profile builds from your own pages.
  • Recommendation share is measured against the competitors you name.
  • Every recommendation shows the sources AI leaned on.
  • Ready for agentic commerce: know where you stand before assistants transact.

Recommendation share

  • Ridgeline 2 Tent31.4%
  • Featherlite Sleep System24.9%
  • Nimbus 55 Pack17.2%

Anchored to a real page

It starts with your product page

Point tracking at a representative product URL. Spyglasses builds the product's profile from that page and its siblings, so the tracking reflects what you actually sell, not a guess.

What's measured

Share, rivals, and the sources behind them

Recommendation share across tracked prompts, side by side with the competitors you name, plus the pages AI cites when it recommends. When a rival wins, you see which source made the case.

Agentic commerce

Assistants are starting to buy

Recommendation is step one; transacting is next. Being findable and preferred in AI answers is the groundwork, and our agentic commerce service handles the implementation side.

Want the implementation done for you? That's the agentic commerce service.

Explore services →

Answers about products shift by market too: pair it with Location Tracking.

Location Tracking →

Product prompts run in the same daily tracking as everything else.

Daily Prompt Tracking →

Find out if you're the answer.

Anchor a product page and the first recommendation numbers arrive within a day.

Product Tracking FAQ

Common questions about tracking products in AI answers.

How is this different from brand tracking?

Brand tracking follows the company; product tracking follows a specific product anchored to its page, with its own prompts, competitors, and recommendation share.

Which page should I anchor a product to?

The canonical product page: the one you'd want AI to read. Spyglasses also discovers sibling product pages from there.

Can I track a whole product line?

Track each key product as its own sub-property, or anchor to a category page for line-level tracking; both roll up under the parent brand.

Does this cover AI shopping features?

Tracking covers the major assistants' recommendation answers today, and the same groundwork positions you for assistant-driven shopping as it rolls out.

What do I do if AI recommends competitors?

Look at the sources behind those recommendations: they tell you which pages made the rival's case. That's your target list for content and placements.