Your buyers are brand and retailer marketing teams, and the internal case for choosing you is always a comparison. We build e-commerce technology sites that put that comparison in writing on your pages, count who AI assistants name in your category against your named set, and hand you one monthly number the person holding the budget can read in a minute.
A brand's marketing team names three vendors and searches them side by side. When a rival publishes the head-to-head and you do not, their table is the one pasted into the buyer's internal recommendation, with your column filled in by someone else.
Retailer count and measured checkout lift, the figures that win the comparison, live in a sales deck. A prospect searching the category at 10pm finds a homepage that says less than the pitch does, and shortlists the vendor whose numbers are on the page.
The budget holder sits above the marketing lead. A vendor report full of activity, with no north star number, has to be turned into a slide before it can reach a founder. That rebuild rarely happens, so the spend goes undefended at the exact meeting where it is questioned.
The Legency ApproachNamed-rival comparison pages built on public facts either side can check, with the criteria you win on listed first. When a buyer searches the pairing, the page that answers is one you wrote.
The numbers that win the argument sit on the homepage and product pages as components your team updates the morning a figure changes, so the site always says what the deck says.
Every report opens with the north star figure, its change since last month, and the citation count against your named set. It is written to be forwarded unedited to whoever signs the budget.
One indexed page per rival pairing, built on verifiable public facts and the criteria you win on, so the search for the pairing has a page of yours to land on.
ChatGPT, Claude, Perplexity and Gemini are asked the questions your buyers ask, and every cited domain is logged, yours and each rival's, on a fixed panel re-run monthly.
Monthly reporting opens with the one figure your executive team follows, its change since last month, and what moves it next, in a form that forwards without editing.
Retailer, marketplace and integration pages assembled from locked components, so a new partner page goes live without a ticket to engineering.
A brand marketing team choosing a where-to-buy, retail media or marketplace platform starts with a list of names it already knows. The site's job is to win the comparison they are running in a spreadsheet, before a demo is booked.
If a rival publishes the head-to-head first, that table is what a buyer pastes into the internal recommendation. Publishing your own, on facts both sides can verify, means the version circulating inside the prospect is the one you wrote.
A buyer checks whether their own retailers and marketplaces are covered before they read a word of positioning. Each integration on its own indexed page answers that check without a sales call.
The stats that win a comparison belong on the page, dated and sourced. A figure that exists only in a PDF cannot be found by the buyer searching at night, or by the assistant answering on their behalf.
The person you sell to is rarely the person who signs. A page that states the case in plain terms is what gets forwarded to a founder or a CMO, so every page is written for that second reader as much as the first.
Ask an assistant which where-to-buy or retail media platforms to consider and it answers with names. Which names depends on which sites it can read and cite. In June 2026 every direct competitor of ChannelSight published structured data, and ChannelSight published none.
Fourteen real buyer questions went to four assistants on 15 July 2026 and every cited source across the 56 answers was logged. That produces a citation count for you and for each named rival, on one date and one prompt set, which is the comparison an executive team asks for.
ChannelSight went from zero pages with structured data to 475 in a month, and 385 blog posts and case studies received the search titles and descriptions they had been publishing without. In the July panel, channelsight.com was the most-cited domain of any kind in the sample.
The baseline exists to be re-run, with the same questions put to the same engines and scored the same way. Each month's count is a before and an after taken identically, so a lead over a named rival is a trend line, and a trend line is what a CEO forwards.
ChannelSight is a where-to-buy and digital shelf platform for consumer brands. In June 2026 every direct competitor published structured data and ChannelSight published none. By 15 July, 475 pages carried it, 385 pages had a written search snippet, and across 56 AI answers to 14 buyer questions, channelsight.com was the most-cited domain of any kind in the sample.
Brands and retailers ask an assistant which platforms to shortlist before they ask a vendor. A call about how the count works against your named set, and what a lead in it looks like on a monthly report.
Yes. Hand over the set and each pairing gets its own indexed page, built on public facts about both products that either side can check, with the criteria you win on listed first. When a buyer searches the pairing, there is a page of yours for it to land on, written in your framing.
A fixed panel of real buyer questions goes to ChatGPT, Claude, Perplexity and Gemini, and every source each answer cites is logged. That gives a citation count for your domain and for each named rival on the same date and the same prompt set. For ChannelSight, one July 2026 panel of 14 questions produced 56 answers, and channelsight.com was the most-cited domain of any kind in that sample. The panel is re-run monthly, so the lead becomes a trend line.
Page one carries the north star number, its change since last month, the citation count against your named set, and what moves next. The detail for you follows behind it. It is written so the person above you can read the first page in a minute and forward it without editing a line.
Yes. Each retailer, marketplace or commerce stack gets its own indexed page from a locked template, so a buyer checking whether their channels are covered finds the answer, and an assistant has a page to cite. Your team adds the next partner from the same template without a developer.
Page copy, headline stats, comparison rows, new integration pages and new product pages, all from components with the design locked. Anything that needs new structure comes to us through a shared channel with a committed turnaround. A figure that changes in the business changes on the site the same morning.