Shopify SEO services that get your store found on Google and cited by AI.

No. Shopify publishes documentation and runs a marketplace of independent experts you can hire, but the platform itself does not decide which collection and product pages your store should have, write them, or check the result once they are live. That is the work, and it is either yours to do or someone's to do for you. Foliora runs it as a managed service on your own domain.

Essential is $49.99 per site per month for monthly research and improvements. Pro is $149.99 per site per month for weekly checks and improvements. Both include supported drafts, customer approval, publishing, and live verification. Annual billing saves 20%.

It maps buyer demand to products you can actually sell, then drafts what stands between a shopper and the right page: titles, descriptions, and answer passages that describe what is actually in stock. After approval, Foliora can apply product, collection, page, article, metadata, redirect, and metafield changes. A ranking report afterward is the receipt, not the deliverable.

Answer engine optimization is the work of getting an assistant to name your store when a buyer asks it what to buy, rather than naming a marketplace or a review site. In practice it is less exotic than it sounds: state the buying question plainly on a page and answer it with first-party product knowledge. Foliora can apply approved schema and content changes. New pages stay behind your approval. The measurement is what differs — instead of a ranking position, you check whether the assistant cited you.

The foundation overlaps almost entirely: both need real inventory, clear collection architecture, and pages that answer purchase questions. What differs is coverage and measurement. Google rewards a page that ranks for a phrase; an assistant rewards a page it can quote and attribute, which puts more weight on structure, schema, and specificity. Foliora scores the two separately so you can see which surface is actually the problem before spending anything.

No tool ships the work. Apps can bulk-edit metadata, generate schema, and flag broken links, and those are worth having, but they do not decide which pages should change or which new guide is worth writing. The gap that costs Shopify merchants traffic is unwritten pages and unclear collection structure, which is a research and drafting problem rather than a tooling one. New pages stay behind your approval.

They cite whoever answers the buying question clearly, and for most product categories that is currently a review site, a marketplace listing, or a competitor's guide rather than the store itself. Foliora samples a fixed panel of buyer questions across ChatGPT and Gemini, records which sites get named in your place, and treats those gaps as inventory on existing pages plus missing URLs.

It is built to replace the handoff between the two. Foliora researches the catalog, drafts the change, and — after you approve the exact diff — writes through the official Admin API after a remote re-read. Approved writes can include products, collections, pages, articles, metadata, redirects, and metafields. Foliora does not read customer or order data, mutate theme Liquid, or write llms.txt. The research and judgment an agency would normally bill for is what the software runs.

Most of the early work is research on pages that already exist: thin titles, unclear collection architecture, missing answer passages. Foliora drafts the change and, after approval, can write products, collections, pages, articles, metadata, and redirects. New pages stay behind the same approval. Foliora does not write llms.txt or theme Liquid.

Not to start. The free snapshot reads only public pages and signs in to nothing. When you enable execution, Foliora requests Shopify permissions progressively through the official Admin API, and the initial scopes deliberately exclude customer and order data. Nothing is written to the live store until you approve the specific change.

Minutes for the first read of your store. After that there is no fixed timeline, because the work is a loop rather than a project: you approve a change, Foliora publishes it, Google and the assistants recrawl on their own schedule, and the next check tells you whether it landed. Most merchants see the first Google movement inside a few weeks; AI citation shifts are noisier and worth judging over a sampling cycle rather than a single re-check.