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eCommerce SEO

Online Store Promotion in Google and AI

Over 53% of eCommerce traffic comes from organic search, but in 2026 a new player appeared — ChatGPT Shopping and AI Overviews recommend products themselves. Now the store's 'client' is not only a human but also an algorithm reading your data directly. We optimize the store for two funnels at once: classic Google search and the new AI shopping funnel.

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Problems we solve

Thousands of pages without optimization

A store has hundreds of categories and cards, most without unique meta tags and descriptions. We work the semantics deeply.

Filter duplicates kill ranking

Filters and sorting create thousands of duplicates that Google penalizes. We set canonical and indexing control so the store doesn't compete with itself.

Products absent from ChatGPT and Shopping

Without a correct feed and structured data, your products don't participate in AI purchases. We prepare data so AI can read and recommend them.

Our approach

Store promotion in 2026 means working two funnels at once. Classic SEO: deep semantic core, unique card meta tags by 'brand + model + characteristic', removing filter duplicates, technical speed for large catalogs. In parallel, AI-readiness: product feed in Google Merchant Center, structured data for each product, up-to-date prices and availability — since for AI, stale data is a distrust signal.

How we work
01

Technical catalog audit

We check speed, duplicates, canonical, robots. For catalogs of thousands of SKUs every delay multiplies — critical for ranking in 2026.

02

Deep semantics

We work all categories and subcategories. Unique meta tags and descriptions for each card by brand + model + key characteristic.

03

Product feed and Merchant Center

We set up the feed for Google Shopping and free listings. The feed updates daily, since stale prices = Google product rejection.

04

AI-readiness and link building

We add structured data for ChatGPT Shopping and build links from themed donors for authority growth.

The key change of 2026: AI purchases rely not on site design but on data and its machine accessibility. If product information can't be read quickly and unambiguously, the store simply doesn't participate in the AI funnel — regardless of brand and budget.

Queries and channels we cover

category queries ('buy X')product queries ('brand model price')Google Shopping and Free ListingsChatGPT Shopping and AI Overviewslocal queries ('buy X in city')
FAQ
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