Related products that actually fit
Most "you may also like" widgets guess. Set related-product rules in plain words, like same brand or parts that fit, and measure what they really sell.
A growing share of shoppers skip the search results page. They ask ChatGPT, Gemini or Perplexity "what is the best trail running shoe under $150" and buy from what comes back. Nobody can promise your product will be the answer. But there is a lot you can control: whether the assistant can read your catalog at all, whether what it reads is accurate, and whether you can see the sales it sends. This post walks through all three.
When an assistant answers a shopping question, it works from what it can find and trust about a product:
If any of that is missing, stale or contradictory, the assistant has less reason to pick you.
Most businesses already maintain a Google Shopping feed. The mistake is treating every new channel as a new project with its own spreadsheet. Then the ChatGPT feed says one price, Google says another, and your site says a third.
In Orkie, one prepared catalog feeds every channel: Google Shopping, Microsoft, Meta, TikTok, Pinterest, a ChatGPT product feed and a catalog AI search tools can read. Titles get rewritten to say what the product actually is, missing attributes get filled, and prices and stock stay in sync because they come from the same place.
The practical checklist:
Assistants still read the web. Make sure the pages they land on answer the questions shoppers actually ask.
Your comments, reviews and support inbox are full of those questions: "does this fit the 2019 model," "is it machine washable," "how long does shipping take to Canada." Orkie drafts blog posts and product copy from your real products, prices and those questions, and publishes them to Shopify or BigCommerce after you approve.
Search Console lives in the workspace too. Sitemaps get submitted, pages get checked live, and search opportunities become tasks on your Projects board with the numbers attached.
This is the step most businesses skip, and it is the one that tells you whether the first two worked.
The Orkie pixel recognizes visits that come from ChatGPT, Claude, Gemini, Perplexity, Copilot, You.com and Grok, and matches them to verified orders. AI traffic shows up as its own line in your revenue, next to Google, Meta and email, instead of disappearing into "direct."
Once you can see it, you can manage it. Which products does AI send buyers to? Which categories get visits but no sales? Is it growing month over month?
Be wary of anyone who promises a ranking in ChatGPT. Assistants do not publish how they choose, answers change from one conversation to the next, and there is no paid placement to buy in the organic answers. What you can do is make your catalog complete, accurate and readable everywhere, publish content that answers real questions, and measure the result honestly.
That is the whole job. See how it works on the Get found on Google and in AI answers page, or talk to us about your catalog.
Want this for your business? Talk to us How the pixel works
Most "you may also like" widgets guess. Set related-product rules in plain words, like same brand or parts that fit, and measure what they really sell.
The pixel steers the feeds, measures related products and tells the Outbox what each shopper left behind. CRM lists become ad audiences. The company brain keeps learning.
A private workspace per client, playbooks that carry across accounts, and reporting that reconciles to each store's real orders, not platform claims.
One or two a month. No hype, no spam.