Solution · E-Commerce

Put your product among the recommended.

Shopping decisions are now made not only on category pages but in AI assistants' answers to "recommend me a product for this". Without accurate product data, consistent price/stock and strong content, you stay out of these recommendations. This solution makes your products discoverable both on Google and in AI recommendations.

The three pillars of e-commerce visibility

E-commerce visibility is built on the triangle of data, content and authority. If your product data is accurate and structured, your category and guide content is strong, and your brand is credibly mentioned in independent sources, both search engines and AI assistants recommend you with confidence.

What we solve in this sector

Product feed and schema

Correct, complete setup of Google Merchant and product structured data.

Category authority

Category and guide content that meets purchase intent.

Data consistency

Price, stock and product information consistent across every surface.

Product page conversion

A product page layout that grows visibility and conversion together.

The first 90 days

  1. Days 0–30: Feed/schema audit, technical health and priority category analysis.
  2. Days 30–60: Category/guide content and product schema improvements.
  3. Days 60–90: Authority work and conversion optimization.
E-Commerce

Frequently asked questions

How does my product show up in AI shopping assistants?
AI assistants prefer stores with accurate, up-to-date, structured product data that are mentioned in credible sources. We make your product feed, structured data and content quality readable by these assistants.
I have thousands of products — do you optimize each one individually?
No. We build a scalable structure at the template and category level: category pages, product schema, automated but supervised content and deeper work on priority products. Scale is managed without sacrificing quality.
Prices and stock change often — does that affect visibility?
Yes. Incorrect or outdated price/stock information lowers both user trust and the likelihood of AI recommending you. We treat data consistency and correct structured data as a priority.
Product visibility analysis

Are your products in AI recommendations?

We measure your product data, category content and recommendation visibility, and produce your priority plan.