E-commerce industry page (preview)
AI visibility for e-commerce

See which online shops AI recommends,
per product category

Shoppers ask ChatGPT, Google AI Mode and other AI models what to buy and where to buy it. Rankshift runs those questions on a schedule and shows where your brand is named, where a competitor is named instead, and which pages and reviews the answer is built on.

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One online shop in 7 categories ChatGPT Category 1 of 7
CategoryZalando in this answer

Pick a category to read its answer.

Prompt: Where is the best place to buy jeans online?

ChatGPT

For the widest choice of brands and fits, Zalando is a common place to start, with filters for fit, wash and length. ASOS is often recommended for trend-led styles at lower prices, and M&S is a reliable pick for classic fits.

Sources zalando.co.ukreddit.comvogue.co.uk

Prompt: Where is the best place to buy dresses online?

ChatGPT

ASOS is named most often for dresses, with a wide range for every occasion. Zara is a frequent pick for current styles, and H&M for affordable everyday dresses.

Sources vogue.co.ukreddit.comasos.com

Prompt: Where is the best place to buy a winter coat online?

ChatGPT

M&S is a frequent pick for warm, well-made winter coats. Zalando has the widest range across brands and budgets, and Next is worth checking for mid-priced options.

Sources theguardian.comreddit.commarksandspencer.com

Prompt: Where is the best place to buy sneakers online?

ChatGPT

Nike and JD Sports are named most often for sneakers, with the latest releases from the big brands. Zalando is also worth a look if you want to compare several brands in one place.

Sources reddit.comgq-magazine.co.ukzalando.co.uk

Prompt: Where is the best place to buy sportswear online?

ChatGPT

JD Sports is often recommended for sportswear from the big brands. Zalando covers a wide range across brands and prices, and Amazon is an option for basics with fast delivery.

Sources reddit.comtrustpilot.comjdsports.co.uk

Prompt: Where is the best place to buy kids' clothes online?

ChatGPT

Next is a common recommendation for children's clothes, with a large range in every size. H&M is the budget pick, and M&S is often mentioned for school uniforms.

Sources mumsnet.comnext.co.uktrustpilot.com

Prompt: Where is the best place to buy swimwear online?

ChatGPT

Zalando is a popular choice for swimwear, with a large range of brands and sizes. ASOS and H&M both have a wide choice at lower prices.

Sources zalando.co.ukvogue.co.ukreddit.com
ZalandoNamed Position1 of 3 Your siteCited

Trusted by retail and e-commerce teams

What changed

Shoppers now ask AI what to buy

An AI answer does not show ten links. It names a handful of products and shops and says why. Which ones those are differs per AI model and per product category, and it can change from one day to the next. The answer is built from reviews, forum threads and product pages, and only some of those are yours.

  • 38%

    of consumers in France, Germany and the UK use AI tools to research products and decide what to buy (survey, December 2025).

  • 3×

    the traffic and orders from AI for online shops on Shopify, second quarter of 2026 compared with a year earlier.

  • 50%

    of visits from AI to online shops on Shopify land directly on a product page, 2.5 times the rate of traditional search.

Use cases

Three things e-commerce teams track in AI answers

Category shortlist

See per product category which shops AI shortlists

Shoppers ask AI where to buy before they visit a single shop: "Where is the best place to buy jeans online?" In Rankshift you can easily see your visibility per product category: how often your brand is on the shortlist and who is named instead.

  • Visibility and share of voice per product category
  • Your position among the brands in the answer
  • The same prompts counted for every competitor you add
Reviews and sources

Find the reviews and pages behind the shortlist

AI builds a product recommendation from what it finds: review sites, forum threads, buying guides and the shops' own pages. Rankshift lists the domains and URLs cited on your prompts, how often your own site is among them, and where a competitor is listed and you are not.

  • Cited domains and URLs, ranked by frequency
  • Your own citation rate next to competitors
  • Review sites, forums and guides where you are missing
Product page content

See which of your pages AI cites

AI answers link to the pages they used. Rankshift shows which of your category and product pages are cited, and where a competitor's page is cited instead. The Action Center turns those gaps into tasks, such as a page to update, and the Content Brief Generator builds a brief from the answers and citations on that prompt.

  • Your cited URLs, ranked by frequency
  • Prompts where a competitor's page is cited and yours is not
  • Content briefs based on the AI answers and their citations
Features

Made for large webshops, many brands and markets

Flexible setup

You decide what runs, in which models and how often

Every product category, brand and buying question adds up to a large volume of prompts. Rankshift gives you unmatched flexibility at that scale: choose the AI models you track and set the frequency per prompt, daily for top categories, weekly for the long tail. Credits follow what you run.

  • Frequency set per prompt, from daily to weekly
  • All nine AI models, or only the ones you choose
  • Adjust the plan whenever your priorities change
Multi-brand

Every brand, country and language in one account

Online shops rarely sell in one country or one language. Every plan includes unlimited projects and seats, so each brand, country and language gets its own project with its own competitors and prompts, and every team works in the same account.

  • Unlimited projects and seats on every plan
  • Unlimited countries and languages
  • Separate competitors, prompts and reports per project
Checklist

What is covered, and on which plan

The points an e-commerce team usually has to tick off before choosing a platform.

See all nine AI models See all integrations

  • Nine AI models

    ChatGPT, Google AI Overviews, Google AI Mode, Gemini and five more, on the same prompts.

  • Agent Analytics

    See which AI crawlers request your product pages. Included from the Starter plan.

  • Competitor benchmark

    Visibility, position and share of voice for every competitor you add.

  • Action Center

    Findings turned into tasks for your team, ranked by expected impact.

  • Reporting and data

    Looker Studio, Power BI or BigQuery, a REST API and an MCP server, from the Professional plan.

  • Enterprise options

    Single sign-on, an SLA and a dedicated account manager on the Enterprise plan.

Live project

Open a live benchmark, no login needed

We track which furniture stores AI recommends in five AI models and publish the project. You can look at the visibility, position, share of voice, citation rate and sentiment of every store in it before you start a trial.

View the live project
What are the best furniture stores?
Public project in five AI models
Live data
Visibility per storeHow often each furniture store is named in the answers.
PositionWhere each store sits among the stores named in an answer.
Share of voiceEach store's share of all store mentions in the answers.
Citation rateHow often each store's own site is cited as a source.
SentimentThe tone of the answers about each store.
Open to everyone, no login required

See where AI recommends your online shop

Start with your top product categories. The 30-day trial needs no credit card.

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FAQ

Questions from e-commerce teams

Can Rankshift track AI visibility per product category?

Yes, through the prompts. Write the questions the way shoppers ask them, for example "best place to buy jeans online", and group them per category. You then see visibility, share of voice and sources for each product category.

Can we track several brands, countries and languages?

Yes. Every plan includes unlimited projects and seats, so each brand, country or language can have its own project with its own competitors and prompts. There is no limit on countries or languages.

Which AI models matter for online shops?

Shoppers use several. Rankshift tracks nine, including ChatGPT, Gemini and the two AI features in Google Search, AI Overviews and AI Mode. The shops and products they name can differ per model, so the same prompts run in each one you select. See all nine AI models.

Can we see which of our product pages AI cites?

Yes. Rankshift lists the URLs cited on your prompts, including your own category and product pages, and shows where a competitor's page is cited instead. Agent Analytics adds which of your pages AI crawlers request. More about citation tracking.

Can we see what AI says about our brand, not only whether we are named?

Yes. Brand Perception looks at questions that name you, such as "What do people say about Zalando?", and reports the strengths and weaknesses AI repeats, the tone per AI model and the sources behind it. More about Brand Perception.

How does pricing work with a large set of prompts?

Rankshift works with credits. What you use depends on the number of prompts, the AI models you select and how often each prompt runs. You set the frequency per prompt. A weekly run on long-tail product questions uses far fewer credits than a daily one. See pricing.

Can we use the data in our own reporting?

Yes. Rankshift connects to Looker Studio, Power BI, BigQuery and other BI tools, and has a REST API and an MCP server for AI assistants. These start at the Professional plan. See integrations.

How do we improve our visibility once we see the gaps?

Start with the sources. See which review sites, forum threads and guides AI cites on your prompts, and where competitors are listed and you are not. Then look at your own pages: which ones are cited and which ones are not. The Action Center turns those findings into tasks, ranked by expected impact.