ECOMMERCE SEO SERVICES

A professional-beauty retailer on Shopify came to us with a wide, shallow index sitting at an average organic position of 40. We consolidated the catalog before adding anything new. Over the comparison window, against the same store six months earlier:

• Organic revenue up 111.7 percent
• Organic transactions up 90.8 percent
• Organic sessions up 37.2 percent
• Revenue per session up 54.3 percent
• Keywords in the top 10 up 105 percent
• Average position from 40.0 to 10.5
• Ecommerce conversion rate up 39.1 percent

Organic grew at more than twice the rate of the business as a whole, which grew 48.8 percent over the same window. The full engagement, including the parts that did not go to plan, is documented in the beauty product Shopify SEO case study.

Last click hides both directions. Standard reporting credits the channel that closed the sale and ignores what introduced the customer. On the referenced engagement, 45.8 percent of the revenue that closed on organic sessions came from customers whose first contact was also organic. The rest was introduced elsewhere: 29.2 percent direct, 10.4 percent paid search, 9.2 percent unassigned. Run the other way, only 70.2 percent of the revenue organic originated actually closed on an organic session. The other 29.8 percent was discovered through search and then credited to email, direct, or paid. Revenue originated by organic grew 143.4 percent against 111.7 percent growth in revenue closed on organic. Neither number is the whole truth, and a report that shows only one of them is selling you a story.

Paid search can make organic look worse than it is. When a brand holds both the top organic result and the ad above it, the ad absorbs clicks the organic listing would otherwise earn. On that engagement one product page improved from position 33.3 to 5.3 while its organic clicks fell from 192 to 152, because paid coverage moved onto the same query. The demand did not disappear. It was recorded under a different channel. This is the most common way an organic program gets undercounted inside a business that also runs ads.

Impressions falling can be the point. Total impressions fell 31.1 percent while revenue doubled. The impressions that vanished were the ones past position 50, a bucket that dropped 94.7 percent and had produced 14 clicks in six months. Meanwhile impressions from the top 10 grew 84 percent, and the share of all impressions coming from page one moved from 19.9 percent to 63.5 percent. Seen less often, clicked far more, earning twice the revenue. A report that treats the impression drop as a red flag is reading the graph upside down. We build reporting that reads it right. The case study shows all three effects with the full tables.

A quarter of the revenue from one in twelve visits. On the referenced engagement, Bing delivered 8.4 percent of organic sessions and 24.6 percent of organic revenue. Revenue per session ran about 3.6 times Google's. Bing sessions grew only 9.3 percent over the window while Bing revenue grew 188.3 percent, and the gap widened as the engagement ran.

Why it happens. The likely driver is the audience: professionals buying supplies for their own businesses, often on work machines during work hours where Bing is the unchanged default, purchasing in larger quantities than a consumer at home. A channel holding 8 percent of sessions is easy to dismiss as a rounding error. Dismissing it here would have meant writing off a quarter of organic revenue.

What it takes to earn it. Almost nothing Bing-specific. Clean canonicals and non-duplicated product URLs are not a Google idea, so technical consolidation pays out across both engines at once. One caution: this pattern is strongest for business-to-business and professional-supply catalogs, and it should be measured on your own store, never assumed.

Discovery is moving into AI answers. Shoppers now start inside conversational surfaces and AI overviews as often as inside a classic results page. For an ecommerce catalog that shift carries a structural consequence most SEO advice skips: Google Merchant Center product data feeds AI Overviews independently of your on-page optimization. Your feed health, structured data, and product content are all inputs, and a strong page with a broken feed still loses the placement.

A rank tracker cannot see it. It reports position 3 for a keyword and goes quiet on whether an AI answer mentioned your brand, cited your page, or recommended a competitor. So we measure what the rank tracker cannot: share of voice inside AI answers, how often your pages are cited as a source, and visibility at the level of the actual prompt a shopper types. The measurement is younger and noisier than classic rank tracking, which is the honest case for instrumenting it now instead of waiting for it to settle.

The framework. The work runs on MERIT, our AI search framework, set out in full in the MERIT white paper, and on the corpus-level thinking we call Corpus Engineering across the Searchbloom blog. The two disciplines it feeds, answer engine optimization and generative engine optimization, are where an ecommerce catalog earns citations rather than just rankings.

The foundation overlaps. The clean canonicals, non-duplicated URLs, and distinct product content that win classic search are the same signals that make a catalog legible to an AI system. For the full picture of how the pieces connect, start with AI SEO.

Catalog size. A store with 200 products and one that has 200,000 are different jobs. More URLs mean more consolidation decisions, more templates to optimize, and more content that has to earn its place, so scale is the first thing that moves cost.

Platform and technical debt. A clean Shopify build with sensible collections starts far ahead of a heavily customized store carrying years of redirect chains, orphaned filter URLs, and plugin conflicts. The further the technical foundation is from where it needs to be, the more of the early budget goes to repair before growth.

Competitive depth. Ranking a niche professional-supply catalog is a different climb than taking on a category owned by national retailers with large budgets. The stronger the competition already ranking, the more distinct your pages have to be, and the longer the runway.

Whether content production is included. Some engagements are optimization only. Others fold in the writing of product, category, and editorial content. Adding production adds cost, though on a large catalog it is usually the wrong first dollar, for the reasons on this page.

The honest version is that ecommerce SEO is priced to the work in front of it, not to a rate card. We scope it after we look at your catalog, and we would rather tell you where the money should not go than sell you a number that ignores your store.