How Uncap became the most AI-visible Shopify Plus agency for B2B brands

Talked about, rarely linked

Uncap builds Shopify Plus and B2B ecommerce implementations for distributors and manufacturers. It’s a crowded corner of the internet: Shopify’s own documentation, a dozen agency blogs, and every competitor’s comparison page are all answering the same buyer questions.

The audit that opened this engagement turned up a specific, measurable version of that crowding: Uncap was named in AI answers four times more often than it was linked as a source. Ask “best unified commerce platforms for product distributors” and the answer came back OroCommerce, Adobe Commerce, SAP Commerce Cloud. Uncap wasn’t in it, on the exact query where a real deal was forming.

What follows covers a 90-day engagement, late April through late July 2026, tracked daily rather than measured once and left alone.

Spending the budget on the hardest topics first

Every tracked buyer topic got ranked by commercial intent, and the work started at the top of that list, not the bottom. Uncap’s branded queries were already strong, a 93% mention rate, so no time went there. The unbranded, comparison-shaped queries, the ones where a real buyer is actively choosing between vendors, got the attention instead.

The fix was building the exact asset the models were borrowing from someone else: honest ranked comparisons that named Uncap next to Adobe Commerce, OroCommerce and the other agencies actually competing for the account, every entry structured with the same attributes in the same order. A model can only lift what’s already shaped like an answer.

Ahead, in the toughest market of the three

Uncap now ranks #1 for AI search visibility among its tracked set, ahead of Adobe Commerce, OroCommerce, and the rest of the Shopify Plus field.

Rank alone understates it. This is the most saturated market of the three brands in this program, exactly the kind of space where an established domain usually wins on sheer authority. Uncap’s lead didn’t come from outranking anyone on authority. It came from being the one that had already published the comparison the model needed.

A month of daily numbers in a market this contested was never going to be a straight line up, and it isn’t one here. What matters is where the line was heading: up 17.6% in the final week, with the series’ highest close landing inside it.

Rank the gaps before you close them

The first month went into treating every zero-visibility topic as equally urgent, working the list roughly in the order it was found rather than the order it paid. The commercially loudest gaps, the ones with the most search volume behind them, should have gone first. Once the topic list got ranked by opportunity instead of worked top-to-bottom, progress on the categories that actually mattered sped up noticeably.