Industry file · E-commerce

GEO for e-commerce: your product in the comparison table

Instead of opening ten tabs and reading product pages one by one, shoppers now ask an AI to “recommend a quiet robot vacuum under 5,000 TL”. The answer is a small comparison table the engine assembles. Which product makes it into that table, and with which price and stock, depends on how consistent your product pages, product feed and reviews are.

Written by: Vextoo Geo Agency Team · Last updated:

Industry file · E-commerce
Typical question
“What is the best [product] under [budget]?”
Who asks
Individual shoppers comparing options
Critical facts
Price, stock, variants, delivery time, return terms, genuine reviews
Watch out
Consumer review rules (below)
✳ Short answer

GEO for e-commerce is the work of getting your products named with accurate price, stock, shipping and returns information in comparison and purchase questions. Product data is fed from a single source to the site, feed and marketplaces; product and return-policy markup is set up in full; and consumer reviews are collected only from buyers, in line with the rules.

What do online shoppers ask AI?

Question typeExampleInformation that decides the answer
Comparison“Model A or model B — which is quieter?”Measurable technical specs
Budget“Best wireless earbuds under 3,000 TL”Current price and stock
Compatibility“Does this case fit the iPhone 17?”Variant and compatibility data
Delivery and returns“Will it arrive tomorrow, and can I return it?”Delivery time and return policy

Why should product data come from one source?

If the same product shows one price on your site, another in your feed and a third on a marketplace, the engine can’t tell which to trust and often takes the oldest or most repeated figure. So in the BUILD step we first map where price, stock and variant data come from, then wire them to a single source.

  • The right markup type: Google separates “merchant listing” markup for pages where people can buy directly from “product snippet” markup for product pages without a purchase option. Merchant listings leave more room for details such as sizing, shipping and returns[1].
  • Markup and feed together: Google states that providing both on-page structured data and a Merchant Center feed maximises eligibility for these experiences[1].
  • Variants as text: Options like colour, size and capacity appear in the page copy and markup, not only in a dropdown.
  • Product identifiers: Manufacturer part numbers and barcodes (GTIN) make it easier to match the same product across sellers.

How do returns and shipping become machine-readable?

“Can I return it?” is the last hurdle before a purchase. Google recommends describing your return terms on a single page and nesting return-policy markup under your Organization markup[2]. Delivery time and cost can be declared per product through merchant listing markup[1].

Which rules apply to product reviews?

AI answers quote product reviews often, so where reviews come from and how they are published directly affects visibility. Article 28/B of Türkiye’s Regulation on Commercial Advertising and Unfair Commercial Practices sets clear limits[3]:

  • Only people who bought the product or service may review it; reviews taken from channels where the purchase can’t be verified may not be published.
  • After the necessary checks, reviews are published without separating positive from negative, for at least one year, ordered by an objective criterion such as date or rating.
  • You may not make agreements or buy services to obtain untrue reviews that boost sales.
  • Reviews without purchase verification may not be used in advertising.

We also make sure the rating and review count in product markup come from genuine reviews published under these rules. For rules on promotion and discount copy, see our retail chains file.

How does the Neural Visibility Loop work in e-commerce?

  1. SCAN

    Category question set

    Comparison, budget and compatibility questions in your highest-revenue categories; the products named and pages cited in answers.

  2. BUILD

    Single-source product data

    Price, stock and variants aligned across site, feed and marketplaces; merchant listing and return-policy markup.

  3. WRITE

    Content that decides

    Comparison pages built on measurable specs, “how to choose” guides, compatibility tables.

  4. MEASURE

    Citation share per category

    The same questions are asked monthly in 6 engines; the accuracy of price and stock in answers is tracked separately.

Frequently asked questions

01Most of our sales are on marketplaces. Do we need GEO for our own site?

Marketplace pages are used as sources too, but the most reliable facts about your brand, return terms and product families should live on your own site. Your site becomes the main reference that marketplace listings rely on as well.

02We have few reviews. How can we get more?

Only by asking customers who bought the product for a review after delivery. The rules ban publishing reviews from sources where the purchase can’t be verified and buying fake reviews; we don’t use those methods either.

03We don’t have a Merchant Center account. Can we still work together?

Yes. Product and return-policy markup works without Merchant Center; if you want an account, we help with the setup.

Sources

  1. Google Search Central — Intro to Product structured data (product snippet, merchant listing, Merchant Center feed) · accessed 7 October 2026
  2. Google Search Central — Merchant return policy (MerchantReturnPolicy) structured data · accessed 7 October 2026
  3. Regulation on Commercial Advertising and Unfair Commercial Practices (Türkiye), art. 28/B (last amended Official Gazette 01.07.2026) · accessed 7 October 2026

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