Retail industry page (preview)
AI visibility for retail

See which stores AI recommends,
per category and city

Shoppers ask ChatGPT, Google AI Mode and other AI models where to buy. Rankshift runs those questions on a schedule and shows where your stores are named, where a competitor is named instead, and which sources the answer is built on.

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One question in 7 cities ChatGPT City 1 of 7
CityIKEA in this answer

Pick a city to read its answer.

Prompt: Where can I buy a good sofa in Atlanta?

ChatGPT

For a wide range at lower prices, IKEA is a common place to start, with a large store at Atlantic Station. Crate & Barrel is often recommended for higher-end sofas, and West Elm has a showroom where you can try a sofa before you order.

Sources ikea.comreddit.comyelp.com

Prompt: Where can I buy a good sofa in Brooklyn?

ChatGPT

West Elm is a frequent pick for modern, mid-priced sofas. IKEA in Red Hook is the budget option if you are happy to assemble the sofa yourself, and Wayfair suits shoppers who want to compare many models online.

Sources westelm.comyelp.comreddit.com

Prompt: Where can I buy a good sofa in Charlotte?

ChatGPT

IKEA is a popular choice for affordable sofas that you can often take home the same day. Wayfair has a wider choice of styles with home delivery, and Costco is worth a look for members who want a simple sofa at a low price.

Sources ikea.comthespruce.comyelp.com

Prompt: Where can I buy a good sofa in Los Angeles?

ChatGPT

Living Spaces and Crate & Barrel are named most often, with showrooms where you can compare many models. IKEA in Burbank is also worth a visit if price matters most.

Sources livingspaces.comapartmenttherapy.comikea.com

Prompt: Where can I buy a good sofa in Houston?

ChatGPT

For sofas in Houston, West Elm and Crate & Barrel are mentioned most, both with showrooms where you can try a sofa first. Wayfair is a lower-priced alternative if you are happy to order online.

Sources crateandbarrel.comyelp.comreddit.com

Prompt: Where can I buy a good sofa in Las Vegas?

ChatGPT

Living Spaces and Wayfair are common recommendations for sofas in Las Vegas, the first with a large showroom and the second online with home delivery. Target is an option if you are looking for lower prices.

Sources yelp.comreddit.com

Prompt: Where can I buy a good sofa in San Francisco?

ChatGPT

Crate & Barrel is often recommended for well-made sofas at a higher price. IKEA covers the lower-priced end, and Wayfair is an online alternative that delivers across the Bay Area.

Sources crateandbarrel.comreddit.comconsumerreports.org
IKEANamed Position1 of 3 Your siteCited

Trusted by retail teams

What changed

Shoppers now ask AI where to buy

An AI answer does not show ten links. It names a handful of stores and says why. Which stores those are differs per AI model and per city, and it can change from one day to the next. The answer is built from reviews, forum threads and articles that you do not control.

  • 45%

    of US consumers use ChatGPT or other AI tools for local business recommendations, up from 6% a year earlier.

  • 393%

    growth in visits from AI sources to US retail sites, first quarter of 2026 compared with a year earlier.

  • 42%

    higher conversion for visits from AI sources than for other traffic on US retail sites, March 2026.

Use cases

Three things retail teams track in AI answers

Local store visibility

See per city which stores AI names, yours or a competitor's

Track the questions shoppers ask, city included: "Where can I buy a good sofa in Houston?". In Rankshift you can easily see your visibility per city and per category: how often your stores are named and who is named instead.

  • Visibility and share of voice per city and category
  • Your position among the stores in the answer
  • The same prompts counted for every competitor you add
Brand perception

See what AI associates with your brand

When a shopper asks about you by name, AI describes your stores. Brand Perception shows the themes it attaches to your brand, such as budget friendly, product variety or shop experience, and whether they come back as strengths or as weaknesses.

  • Themes taken from the answers, nothing to configure
  • Sentiment per AI model
  • The sources behind each description
Reviews and sources

Find the reviews and pages behind the answer

AI builds a store recommendation from what it finds: review platforms, forum threads, buying guides and the retailers' own sites. 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
Features

Made for many stores, brands and markets

Flexible setup

You decide what runs, in which models and how often

Every category in every city 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

Retail groups rarely run one brand in one market. 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 a retail 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.

  • Tags and filters

    Tag prompts by city, category or campaign and filter your reports on them.

  • Competitor benchmark

    Visibility, position and share of voice for every chain 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 retail 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 stores

Start with one category and a few cities. The 30-day trial needs no credit card.

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No credit card needed Unlimited projects Unlimited seats
FAQ

Questions from retail teams

Can Rankshift track AI visibility per city?

Yes, through the prompt. Write the question the way a shopper asks it, with the city or area in it, for example "best sofa store in Houston". Tag the prompt with that city and you can filter visibility, share of voice and sources per city, per category or on any other tag.

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 retail?

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

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

Yes. Brand Perception looks at questions that name you, such as "What do people say about IKEA?", 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 city 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. The Action Center turns those findings into tasks, ranked by expected impact.