Product data, page content, and the structured data underneath both. Attribute values get written into structured fields so an engine reads them directly, product page copy and FAQs are rewritten to answer the questions shoppers actually ask, and new comparison pages and articles cover the questions nothing on your site answers today. We also produce a source brief showing which third party pages decide the answer in your category. Everything we write is published in your store.

We make them. Autonomy writes the specifications, produces the content, and ships it in your Shopify store using the permissions you set, with your team approving anything before it goes live. If you would rather keep the work in house, we hand over the same specifications and review the results with you. Either way you need someone who can approve published changes and answer questions about the catalogue.

The monitoring data ranks it before anyone opens a document. Every question your products are missing carries a value based on how often it comes up and how much of the answer competitors currently hold, so the highest value gaps sit at the top of the list. You approve that order before work starts. The same prompts run again after each release, so anything that stays flat feeds the next round.

People write it, with your product data underneath. Bulk generated pages tend to lift for a few weeks and then drag the whole domain down, and engines keep getting better at spotting them. We publish a smaller number of pages built to hold their position, each one written against a specific question your products are missing and grounded in the attributes and specifications from your own catalogue.

Product data changes tend to register first, and AI engines take weeks to reflect site work rather than days. Topic level movement shows well before a headline visibility score does, which is why reporting runs at topic and prompt level throughout. Expect the first read on whether a change worked at the next full prompt run after it ships.