AI SEO for ecommerce

AI SEO for ecommerce brands

Shoppers now ask AI which product to buy. WriteWorks tracks the product and comparison prompts in your category, shows which brands and retailers the answers recommend, and checks every product and category page for the structured data AI search for ecommerce relies on.

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A page's structured data: Organization and BreadcrumbList pass, Article is missing author and dateModified, FAQPage is added by JavaScript only, and a suggested Article JSON-LD is ready to copy.

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Measure/AI discoverability

Search brands, prompts, competitors…⌘K

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The challenge

Why ecommerce brands miss AI product answers

The measurement and markup gaps between a product page and a product recommendation.

Shoppers get one shortlist, not ten links

A comparison prompt in ChatGPT or an AI Overview names a handful of products and retailers. If your range isn't in that shortlist, the shopper never reaches your category page.

Product pages without Product markup

AI shopping and comparison answers lift names, prices and ratings from Product structured data. Pages without it, or with it added only by JavaScript, are harder to quote.

Category pages AI can't parse

Listing pages without ItemList markup make engines guess which products you sell and in what order, and thin category copy gives them little to cite.

Ecommerce SEO tools stop at rankings

Classic ecommerce SEO reports positions and clicks. They don't show which prompts trigger a product answer, or which competitor gets recommended in it.

The solution

How WriteWorks runs AI SEO for ecommerce

Track the prompts, fix the markup, ship the content, measure the shortlist.

Prompt research builds commercial and transactional prompts from your categories ("best X for Y", "X vs Y", "cheapest X"), then tracks whether answers mention your brand, at what position, and who is named instead.

◆How WriteWorks runs AI SEO for ecommerceLIVE

WriteWorks Track prompts across AI engines. Close-up: Commercial prompt card, now tracking (sample data).

Success story

What real brands fixed with WriteWorks

What each brand fixed, measured before and after with the same audit, in their own words.

FhreshPages under 0.8 s 72% → 98%

“Pages that answer AI crawlers in under 0.8 seconds went from 72% to 98%. Add a homepage that now says who Fhresh is in plain markup, in every market, and AI has far more to work with.”

Fhresh teamRead the Fhresh success story

Capabilities

Built for catalogues

Prompt tracking and page-level checks that scale to product and category templates.

Commercial prompt research

Four intents per keyword, so commercial and transactional prompts are tracked separately.

Competitor share of voice

Brands and retailers named in answers, against up to 3, 5 or 10 competitors by plan.

Page-type classification

Home, Product, Category, Article and FAQ, so schema rules only fire where they apply.

Schema checker and generator

Product, ItemList, Organization and BreadcrumbList checked; JSON-LD drafted from the page.

JavaScript SEO check

Raw HTML compared with the rendered page, for storefronts that render products client-side.

AI referral traffic

Visits sent by AI assistants, alongside the bots crawling your catalogue (Growth and above).

Time savings

What changes for ecommerce teams

The manual checks and hand-written markup a tracked programme replaces.

TaskBeforeWith WriteWorksTime saved

See which products AI recommends in your categoryAsking assistants by handTracked prompts, captured dailyRepeat checks gone

Audit Product and ItemList markupSpot-checking templatesEvery crawled page classified and checkedDays per audit

Write JSON-LD for a product templateHand-written per pageDrafted from page contentHours per template

Brief a buying guideGuesswork on what to coverBrief from the prompts you loseResearch time

Included

What's included for ecommerce

AI search visibility and AI discoverability, in one platform.

Commercial and transactional prompt tracking

ChatGPT on every plan; Google AI Overviews and AI Mode from Growth

Competitor and retailer share of voice

Product, ItemList and Organization schema checks on every crawl

JSON-LD generator drafted from page content

Raw versus rendered content check for JavaScript storefronts

AI crawler and AI referral analytics (Growth and above)

Briefs and drafts for buying guides and category copy

Built for

Who it's for

SEO, merchandising and development teams working from one list.

Ecommerce SEO leads

Add AI answers to the ecommerce SEO programme with a measurable baseline.

Category and merchandising teams

See which products and rivals AI puts in front of shoppers, category by category.

Developers and platform owners

Get a page-level list of schema and rendering issues, with the JSON-LD to fix them.

Marketplaces and directories

Find thin listing pages and missing ItemList markup across large catalogues.

Featured story

Kleepa

“Thin was the right word for our directory. We rewrote every niche page with real detail, added markup across the site and dated our success stories. The re-audit found 100% of directory pages with 200 words or more, up from 0%, and schema on 99% of pages, up from 39%. Next up is FAQ markup for the new FAQ sections.”

Kleepa team

Read the full story

0% → 100%

Directory pages with 200+ words

39% → 99%

Pages carrying schema

70% → 100%

Articles and FAQs with a modified date

FAQ

Frequently asked questions

Everything teams typically ask before getting started.

What is AI SEO for ecommerce?+

AI SEO for ecommerce (sometimes called GEO for ecommerce) is getting your products, categories and brand recommended when shoppers ask AI assistants what to buy. It combines tracking the answers to product and comparison prompts with making product and category pages easy for AI crawlers to read, mainly through structured data and server-rendered content.

How is it different from ecommerce SEO?+

Ecommerce SEO optimises product and category pages to rank in search results. AI search for ecommerce adds a second outcome: being named in the shortlist an AI answer gives. Most of the technical groundwork is shared, which is why WriteWorks checks schema and rendering alongside the answers.

Which AI platforms are tracked on each plan?+

Starter tracks ChatGPT. Growth adds Google AI Overviews and Google AI Mode, which matter most for shopping queries on Google. Enterprise and agency plans track every platform, including Perplexity, Gemini, Microsoft Copilot and Meta AI.

Does WriteWorks check Product schema?+

Yes. The AI discoverability crawl classifies each page and flags product pages missing Product (or ProductGroup) markup, Product markup without offers, category pages missing ItemList, and markup that only appears after JavaScript runs.

How many pages does a crawl cover?+

Starter crawls up to 1,000 pages, Growth 5,000 and Enterprise 10,000, starting with the homepage and highest-traffic pages.

Does it work for marketplaces?+

Yes. Marketplaces and directories use the same checks, especially ItemList on listing pages and content depth on thin profile pages. The Fhresh and Kleepa success stories show what an audit found on two marketplaces.

Explore more

Keep exploring

Related solutions, adjacent use cases, and platform features.

Get your products into AI answers

Track the prompts shoppers ask, fix the schema AI relies on, and ship the buying guides that put your range on the shortlist.

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