E-commerce SEO · AI shopping

AI Shopping Visibility Built To Get Picked

Shoppers now ask ChatGPT, Google AI Mode and Perplexity what to buy, and get a short list of products back. We make sure your products have the data, reviews and reputation those assistants look for, so yours make the list.

Product data rich enough for AI to match real needs
Feeds and pages ready for AI shopping channels
Tracking of which prompts recommend your products
Get Free AuditHow AI Picks
AI shopping assistantBest insulated bottle for day hikes,fits a side pocket, under ₹2,000?Here are three good options, based on reviews and specs:TrailFlask 750 ml₹1,4994.8Cold 24h · fits pocketsView productTop pickPeak Flask 1 L₹1,9504.5Larger, heavierCity Bottle 600 ml₹1,1994.3Cold 12hSources:yourstore.comreview sitehiking forumAI shopping assistantBest insulated bottle for dayhikes, under ₹2,000?Top pick, based on reviews and specs:Top pickTrailFlask 750 ml₹1,4994.8Cold 24h · fits pocketsPeak Flask 1 L₹1,950★ 4.5City Bottle 600 ml₹1,199★ 4.3Sources:yourstore.comreview site
Recommended in 3 assistants
On this page01Search Has Changed02Where It Happens03What AI Checks04AI-ready Listings05Feeds & Access06Prompt Tracking07Reputation08Process09FAQs
Chapter 01 · From keywords to conversations

Shoppers Stopped Typing Keywords. They Describe Their Needs.

A keyword search returns a page of options to compare. An AI conversation returns a few products that match every need. Only products whose data proves the match get picked.

Keyword search
insulated bottle

Shoppers open several pages and compare for themselves.

AI shopping prompt

“I hike about 15 km on summer weekends. Which insulated bottle keeps water cold all day, fits a backpack side pocket and costs under ₹2,000?”

What the assistant needs to find in your data
UseDay hikes
Keeps cold12 hours or more
FitsSide pocket, about 7 cm wide
BudgetUnder ₹2,000

If your page never states the diameter or how long it keeps drinks cold, the assistant cannot be sure your bottle fits, so it recommends one that says so.

Chapter 02 · Where AI shopping happens

The Assistants Your Customers Are Already Asking

Each assistant gets product information from different places. We make sure your products are present and accurate in each source that matters for your market.

ChatGPT

Gets product data fromWeb search, product data and merchant feeds

Shows product cards with images, prices and reviews. In some markets, shoppers can check out without leaving the chat.

Google AI Mode & AI Overviews

Gets product data fromGoogle’s Shopping Graph, fed by Merchant Center and product pages

Builds product comparisons and shortlists from the same data that powers Google Shopping.

Perplexity

Gets product data fromLive web search and merchant data

Answers shopping questions with product cards and cites the pages it used.

Microsoft Copilot

Gets product data fromBing search and Microsoft’s merchant data

Product answers grounded in Bing, so Bing indexing and feeds matter.

Amazon Rufus

Gets product data fromAmazon listings, reviews and Q&A

Answers questions inside Amazon. Relevant if you sell there, where listing content decides what it says.

New assistants

Gets product data fromOpen web and product feeds

New shopping agents keep launching. Clean, consistent product data keeps you ready for each one.

Features and availability differ by assistant and country, and change often. We review them every quarter and adjust your setup.

Chapter 03 · What AI checks

Six Signals AI Assistants Check Before Recommending A Product

No assistant publishes its exact formula, but the pattern is consistent. Products that win have strong, matching evidence in all six areas.

Your productRecommended?Complete product dataFeed and pageClear specs & use casesWho it is forReviews & ratingsVolume and recencyMentions elsewhereReviews, forums, listsAccurate price & stockSame everywhereStore trustShipping, returnsYour productRecommended?Complete product dataFeed and pageClear specs & use casesWho it is forReviews & ratingsVolume and recencyMentions elsewhereReviews, forums, listsAccurate price & stockSame everywhereStore trustShipping, returns

Complete product data

Every attribute filled in your feed and on the page: size, material, weight, compatibility, colour.

Clear specs and use cases

Who it is for and what it is good at, written in the words shoppers use.

Reviews and ratings

A healthy volume of recent, genuine reviews that mention real use.

Mentions elsewhere

Your product named in review sites, comparison lists, videos and forum threads.

Accurate price and stock

The same price and availability in your feed, on your page and in markup.

Store trust

Clear shipping, returns and contact details that make a recommendation safe.

Chapter 04 · AI-ready product listings

A Listing An Assistant Can Confidently Recommend

Assistants recommend what they can verify. A thin listing leaves too many questions open. An AI-ready one answers them before they are asked.

Thin listing

TrailFlask Bottle

Stainless steel bottle. Available in many colours.

No size or fit details
No performance claims to verify
No use cases or audience
Few reviews, none mentioning real use

An assistant asked about day hikes has nothing here to match, so it recommends a competitor whose listing spells it out.

AI-ready listing

TrailFlask Insulated Steel Bottle 750 ml

Keeps water cold for 24 hours and hot for 12. Built for day hikes and commutes, with a one-hand lock lid.

Capacity750 ml
Diameter7.2 cm, fits most side pockets
Weight380 g empty
Material18/8 stainless steel, BPA-free
Best forHiking, commuting, gym
Reviews4.8 from 1,204 buyers
Chapter 05 · Feeds and access

Make Sure Every Assistant Can Read Your Catalog

AI assistants learn about products through feeds, structured data and crawling. If any of these are missing or blocked, your products simply are not in the running.

ChannelHow products get inWhat we set up
Google AI ModeMerchant Center feed and product pagesComplete, approved feed with rich attributes and markup
ChatGPTCrawled product pages and merchant product feedsSearch crawler access, clean markup, feed where eligible
PerplexityCrawled pages and merchant dataCrawler access and complete product pages
Microsoft CopilotBing index and Microsoft Merchant CenterBing Webmaster Tools, IndexNow and feed setup
Amazon RufusYour Amazon listing contentTitles, bullets, A+ content and answered questions
Google AI Mode
How products get inMerchant Center feed and product pages
What we set upComplete, approved feed with rich attributes and markup
ChatGPT
How products get inCrawled product pages and merchant product feeds
What we set upSearch crawler access, clean markup, feed where eligible
Perplexity
How products get inCrawled pages and merchant data
What we set upCrawler access and complete product pages
Microsoft Copilot
How products get inBing index and Microsoft Merchant Center
What we set upBing Webmaster Tools, IndexNow and feed setup
Amazon Rufus
How products get inYour Amazon listing content
What we set upTitles, bullets, A+ content and answered questions
We also check robots.txt and firewall rules, which often block AI search crawlers without anyone noticing.
Chapter 06 · Prompt tracking

Know Which Questions Recommend Your Products

We track the buying questions that matter to your store across every major assistant, and report how often your products are recommended. Example below for a bottle brand.

Shopper promptYour productAlso named
Best insulated bottle for hiking under ₹2,000
Recommended
2 competitors
Bottle that fits a car cup holder and keeps coffee hot
Recommended
1 competitor
Leak-proof bottle for a school bag
Mentioned
3 competitors
Most durable steel bottle for daily gym use
Not shown
3 competitors
Eco-friendly gift for a runner
Not shown
4 competitors

Share of recommendation

How often your products appear across tracked prompts

Position

Whether you are the top pick or further down the list

Gaps

Prompts where competitors win, ranked by value

Illustrative example. Results vary by assistant, location and wording, so we track each prompt repeatedly over time.

Chapter 07 · Reputation beyond your store

What The Rest Of The Web Says About Your Products

Assistants trust independent voices more than your own product page. We help genuine, positive mentions reach the places they read.

Review volume and quality

Post-purchase review requests that ask buyers about real use, not just star ratings.

Comparison and “best of” lists

Product samples and data shared with editors and reviewers in your niche.

Video reviews

Creator partnerships for honest reviews and demos on YouTube.

Forums and communities

Helpful answers where your customers ask questions, always clearly from your brand.

Press and expert quotes

Product launches and expert commentary in publications assistants cite.

No shortcuts

No fake reviews, undisclosed paid posts or spam. They break platform rules and damage trust.

Want your brand recommended too, not just your products?

Our AEO & GEO service covers brand-level visibility in AI answers, from “which store should I buy from” to “who makes the best”.

Explore AEO & GEO
Chapter 08 · How we work

From Invisible To Recommended

We start by measuring where you stand today, then fix the data and reputation gaps that keep your products off AI shortlists.

01
02
03
04
Week 1–2

Baseline

Your top products tested across assistants for real buying prompts.

Week 2–6

Data & feeds

Listings, attributes, markup and feeds completed.

Week 4 onward

Reputation

Reviews, comparisons and mentions built steadily.

Ongoing

Track & refine

Recommendation share reported monthly, gaps closed.

Free AI shopping audit

Find Out If AI Assistants Recommend Your Products

Tell us your store and three to five of your key products. We will test real buying questions across the major assistants and review your product data.

You get a clear picture of where you are recommended, where competitors win and what to fix first, with no obligation.

15+Years in search
1,345+Projects delivered
97%Client retention

Get Your Free AI Shopping Audit

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Questions, answered

AI Shopping Visibility Questions, Answered

Straight answers to what store owners ask us most.

What is AI shopping visibility?

It is how often AI assistants such as ChatGPT, Google AI Mode, Perplexity and Copilot recommend your products when shoppers ask what to buy. It depends on your product data, reviews and reputation across the web.

Can I pay to be recommended by AI assistants?

Some platforms are testing ads near AI answers, but organic recommendations cannot be bought. They come from complete product data, genuine reviews and trusted mentions, which is what we work on.

How is this different from Google Shopping optimization?

It builds on it. A strong Merchant Center feed feeds Google’s AI shopping features directly, but other assistants also rely on your product pages, structured data and what independent sites say about your products.

Do I need to change my product pages?

Usually yes, mostly by adding missing details: sizes, materials, compatibility, use cases and answers to common questions. These changes also help regular SEO and conversion rates.

How do you measure results?

We track a set of real buying prompts across assistants every month and report how often your products are recommended, mentioned or missing, and which competitors appear instead.

Can you guarantee my products will be recommended?

No one can guarantee that. Assistants change how they answer often. We remove the gaps that keep products off shortlists and report progress honestly every month.

Does this work for small stores?

Yes. Assistants recommend specific products that fit specific needs, so smaller stores with well-described, well-reviewed products can win prompts that big retailers miss.