If you market a product category, you need research that reflects how buyers compare products and decide what meets their requirements. Two limitations first, because they rule OppAlerts out for some ecommerce teams entirely.
No product feed integration. Nothing connects to your catalog and no report works at SKU level.
No shopping placement tracking. Profound and Scrunch both sell product visibility inside ChatGPT Shopping. If that is what you came for, buy one of those.
Where it does help
Category pages and buying guides. Discovery happens there, and so does the hunt an assistant makes for something to build an answer out of.
Ask an assistant which product to buy and the answer gets assembled from reviews, buying guides, roundups and comparison articles. Those pages are the raw material. Whether your products are on them is the whole question.
Track the questions, not the SKUs
Track category and problem questions. What to look for when buying the thing. Which type suits which situation. How to choose between two formats.
Those are the questions with real volume behind them, and they are what your category pages should be answering. Product-level prompts are endless and return almost nothing, and the call arithmetic makes tracking a catalog impossible anyway.
The cited sources are your placement list
Every category question you track cites specific review sites, guides and roundups. There is your target list, with the audience already qualified.
Check three things on each one. Do your products appear? Are the description and the price current? Does the publication take submissions or updates?
Stale pricing and discontinued products sitting in a widely cited buying guide is the single most common ecommerce finding, and fixing it takes one email.
Category page content
Content Optimizer compares a draft against categories you select, including product and audience taxonomies. On a category page, the check you want is whether the writing reads as being about the product type and addressed to a buyer, or about your shop.
Most category pages spend their length on the retailer. Every word accurate, and no help at all to somebody trying to decide.
The comparison accepts 8,192 bytes, so a long category page gets checked in sections.
The rest of the campaign
Brand monitoring across published pages. Not social platforms and not review sites, so reputation work on social media still needs a listening tool.
Link gap against your competitors. Prospect search by opportunity type, which finds the gift guides, buying guides and roundups your category attracts, with the contact route each publication publishes.
Keyword tracking on Google and Bing, with the AI Overview arriving in the same request. That is useful on category terms where an overview now sits above the results.
Seasonal work runs early
Gift guides and seasonal roundups get written months ahead. Search for them in the quarter before the season. Search during the season and you are reading about it.
When planning category content or a publication approach, identify the purchase condition the buyer still needs explained.
See searching by opportunity type, monitoring coverage, or products that track shopping placement.