AI Is Changing How Your Customers Shop
Have you noticed how much the way people shop online keeps shifting? Just recently, many shoppers typed a quick phrase like “best water bottle” into a search engine, checked a couple of links, maybe looked at a shopping ad, and that was it. Not anymore. Now, shoppers are getting specific. They may type something like:
“I hike in hot, dry climates. Can you recommend a leak-proof water bottle that keeps drinks cold?”
That is not your basic keyword hunt. People are using natural language to ask for advice, not just results. They want answers, not just a laundry list of product links.
And this has real consequences for ecommerce sites. AI-driven searches are pulling information from all corners of the web , not just your product pages. So if you want your product to show up as the answer, you need to rethink how you present it. This is not about chasing the latest trend. It is about making sure your products are visible in the places customers are looking for them right now.
Why Traditional SEO Isn’t Enough Anymore
Google, ChatGPT, Perplexity, and other platforms have changed how they show results. AI looks at everything it can find, including:
- Mentions of your brand on forums and review sites
- Your site content and technical structure
- How well your product information is organized and marked up
- Customer reviews and feedback, even on third-party sites
AI still cares about strong content and backlinks, but it is now also about being the right answer for all kinds of highly specific queries.
Let’s get into the main steps you need to make your store AI-ready.
Make Sure AI Can See Your Products
This might sound obvious, but too many sites still block the crawlers that AI tools use. If bots cannot see your product details, you are invisible, no matter how great your product is.
Check Your Robots.txt
Some store owners set up their robots.txt files to exclude certain bots or paths. Sometimes this is needed. But blocking AI crawlers could keep you out of search suggestions and product recommendations.
- Check your robots.txt for lines that block “GPTBot”, “PerplexityBot”, or other AI crawlers.
- Unless you have a strong reason, let these bots index your product content.
This is a simple, quick win. I’ve seen even large brands miss out because of a small robots.txt oversight.
Show Key Content Without JavaScript
This one is trickier than it seems. Many ecommerce pages rely on JavaScript to display content like prices, descriptions, or images. The trouble is, most AI bots cannot see content that only loads after the page has rendered.
For example: If you use a frontend framework that populates the page after the fact, tools like ChatGPT’s web crawlers will get nothing useful. But if the core content is there in the initial HTML, you are good.
“If your product details only show up after scripts run, many AI bots will never see them. Make sure you send the most important details in the main HTML.”
Ask your development team about this if you’re unsure. The solution is often to use server-side rendering, so the initial page has all critical data even with JavaScript disabled.
You can spot-check this yourself by disabling JavaScript in your browser’s developer tools and reloading your product pages. If your descriptions, prices, and titles disappear, you have a problem.
Help AI Understand: Use Structured Data Schema
AI tools are not magic. They need clues about what is on your page. This is where Schema.org’s markup comes in.
You might know schema as a way to get rich snippets in search. It does more than that now. It organizes your product information for any machine that is crawling your site. This includes AI tools.
Add Essential Schema Fields
For each product page, include details like:
- Product name and description
- Price
- Availability (in stock, out of stock, etc.)
- Brand
- GTIN, SKU, or MPN
- Image URL
- Aggregate review ratings if available
The more complete and up-to-date this is, the better. If you have “Made in the USA”, “sustainable materials”, or other selling points, add them if there is a proper property.
Keep Schema in the Raw HTML
Do not rely on plugins or widgets that inject schema after a page loads. Everything should be available to the bot on its first pass.
Validate your schema with Google’s Rich Results Test to make sure it is correct and present.
Go Beyond Products: Reviews, FAQs, and How-To Content
Product schema is just the start. Adding more context helps. You can add markup for:
- Customer reviews (Review and AggregateRating blocks)
- FAQPage if you answer common questions
- HowTo for guides on using your product
AI tools pull from all the context you provide. One FAQ about who your product is best for might make the difference in showing up for a user’s nuanced question.
Use Product Feeds for New AI Marketplaces
This is something newer, and it is easy to overlook if you think only about SEO. Some AI products, like Perplexity, now let you submit your entire catalog directly. They use your feed to answer purchase queries and to power new shopping experiences.
What Goes In a Good Product Feed?
- Product title
- Clear, customer-focused description
- Price and availability
- Direct link to the product
- Brand
- Image link
- Attributes like color, material, size, and category
- Any reviews or ratings
- Shipping details if available
A common mistake is using overly technical language or internal jargon. Write your product information the way your customers would ask about it.
“Stick with direct, helpful copy in your feeds. Customers search for ‘kids insulated water bottle’ more often than ‘polypropylene liquid vessel.'”
Where to Submit Product Feeds
You can now submit product feeds to the following services:
- Perplexity Merchant Program , helps your products show up in their shopping and answer experiences
- Google Merchant Center , already used for Shopping, but also feeds into new AI search features
- OpenAI (ChatGPT) , piloting options for vendors to provide product data directly
Details change fast here, so check the platforms regularly.
Watch Which Bots Are Crawling Your Site
It is not enough to hope the bots find your site. You want proof.
Check your access logs or CDN dashboard for requests from:
- GPTBot (OpenAI/ChatGPT)
- PerplexityBot
- OAI-SearchBot
- Googlebot (and related user agents)
Look for:
- Which pages they visit (product, category, blog, etc.)
- How often they return
- Any patterns or gaps (products missed, dropped pages, etc.)
If you find some pages are not getting crawled, double-check your internal linking and your sitemap. AI bots still use sitemaps to help discover content.
Think in Prompts, Not Keywords
Here’s a big shift: people using AI to shop do not just enter search terms. They type or say detailed prompts.
A prompt might be:
“I need a large travel mug that keeps drinks hot for 8 hours and fits in a car cup holder.”
That is a very different request than “travel mug”.
Relying only on broad keywords will hold you back. Instead, start working with the kind of language your customers actually use.
Expand Product Descriptions and Content
Take your best-performing search keywords, but expand. Write for:
- Specific needs: “leak-proof”, “for hiking”, “for sensitive teeth”, “easy to clean”
- Personas: “busy parents”, “frequent travelers”, “teens”, “office workers”
- Situations: “college dorm”, “long road trips”, “outdoor picnic”
- Problems: “avoids spills”, “prevents odors”, “keeps drinks at the right temp”
Update product copy, FAQs, and even category pages to address these scenarios. The more you echo real language and solve real questions, the more likely AI platforms are to use your product as “the answer”.
I have tried this approach with consumer goods clients. When we made the descriptions more conversational and “problem-solution” focused, AI-generated suggestions included those products more often.
Fill the Gaps with New Content
Look at your customer service tickets, reviews, and actual user searches. What questions come up the most?
Could you write a small article, a feature box, or an FAQ item answering:
- Is this product safe for kids under five?
- Does it contain BPA?
- How long will ice last in this cooler?
- Will this item fit in airline carry-on bags?
The more of these questions your site covers, the more AI systems see your products as credible answers.
Build Your Brand, Not Just Your Website
This is a big one , and often overlooked by technical teams.
Today’s AI search tools draw on reviews, social posts, YouTube videos, blog comments, Reddit threads, and even transcripts from podcasts.
If you only focus on what appears on your own site, you leave a gap that competitors (or random users) might fill.
Participate in Wider Online Conversations
Try to get mentioned in places such as:
- Product review sites
- Reddit and online forums
- Relevant YouTube videos (e.g., “Top 10 leak-proof bottles for camping”)
- Blog roundups or listicles by third parties
Do not spam. Genuine engagement works better. Sometimes that means sending samples to review sites, or just reaching out with useful info.
Encourage and Respond to Reviews
Positive, authentic reviews help. If people mention your brand by name on different sites, AI picks up those mentions as part of your reputation.
Respond politely, and handle negative feedback constructively. Each interaction leaves a footprint that the next generation of search is likely to see.
Monitor Your Reputation
Set up alerts for your brand and key products on Reddit, Trustpilot, Amazon, and more. Watch what language people use. You might be surprised.
If you spot consistencies in how your products are described off-site, try to include that wording on your main pages and in your feeds.
Measure Your AI Search Visibility
The playbook for tracking “rankings” does not fit anymore. Sometimes your brand shows up. Sometimes not. It varies by the user’s question, phrasing, and context.
Here’s a table you can adapt to track your presence across different prompt types:
| Prompt | Your Brand? (Y/N) | Source Cited | Competing Brands | Notes / Next Steps |
|---|---|---|---|---|
| Best leak-proof bottle for hiking | Y | Blog roundup, Reddit, Your site | Brand A, Brand B | Covered in a recent review; follow up with YouTube outreach |
| Water bottle for children 3-5 years old | N | Amazon reviews, Parenting forum | Brand C, Brand D | No mention found; connect with parenting blogs |
Repeat this exercise with different scenarios, both short and long prompts.
You can use tools like Semrush AI SEO Toolkit, Peec.AI, or Profound for more automated reporting, but manual checks often catch the subtle things the tools miss.
Some Points Most People Miss
- You can have perfect schema and still get skipped if reviews elsewhere are bad, or if you are not mentioned in key communities
- AI tools mix data from multiple places. One influential Reddit post can outweigh dozens of standard reviews
- Most shoppers now expect personalized, nuanced answers. Products that do not address very specific needs lose out
- Updating old content matters. If most of your schema is two years out of date, fresh competitors may jump you in recommendations
It is almost impossible to predict every way consumers will prompt AI. What you can do is prepare your products and brand for as many scenarios as possible.
Finishing Thoughts
AI shopping is complicated , and, honestly, it is moving fast. The advice that worked twelve months ago might not be enough today. Some folks will find these changes overwhelming, and I can sympathize. Even industry veterans are still adjusting. I admit, sometimes I wish things stayed as simple as writing a good meta description and watching the clicks roll in. But things do change.
The best approach is to focus on fundamentals. Get your product data right. Open up your site to trusted bots. Keep your schema sharp. Listen to your customers and write like a real person trying to help another person. Position your brand out in the wider web, not just your store. Occasionally, argue with the conventional wisdom , what works for Google might not be what works best for AI chat tools or voice search.
If you keep at these basics, your products have a much better shot at showing up in AI-powered discovery tools. You might not grab the top spot for every possible prompt. Honestly, nobody does. But you will be part of the answer for the people searching for what you sell today , and that is what matters most.
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