How to Optimize Your Ecommerce Store for AI Search (8 Steps)
6 Steps to Get AI to Recommend Your Brand
More of your customers are using AI to research products before they buy. Are you prepared?
To put this into perspective:
Last year, you might’ve searched “best bed sheets” on Google and scrolled through a few links or a Shopping ad.
This year, you’re asking ChatGPT:
“I sleep hot and have sensitive skin. Can you recommend some breathable bed sheets that won’t irritate me?”
Totally different input. Totally different rules for showing up.
AI Search still cares about the fundamentals — content, crawlability, internal links, and high-quality backlinks. But now, your visibility is influenced by more than just your website.
AI models reflect the full picture:
- What people say about your brand
- Where you’re mentioned
- How your product is reviewed
Step 1: Make Your PDPs Crawlable and Renderable
Before you do anything, start here: can bots actually see your product content?
When people started taking AI tools and chatbots seriously in 2022/23, some site owners turned to blocking their crawlers from accessing their site.
But if you block the crawler, it won’t be able to serve your pages in its responses.
Don’t Block AI Crawlers in Your Robots.txt File
Unless you actively took the step to block them, you shouldn’t need to do anything here. But it’s still worth verifying there are no lines in your [robots.txt file](/content/hub/seo/robots-txt "Robots.txt and SEO: Complete Guide"/index.html) like:
User-agent: GPTBot
Disallow: /
Don’t Serve Important Content Using JavaScript
The other aspect of crawlability to consider is how you’re serving your content.
Because right now, bots from the likes of ChatGPT and Perplexity do not appear to process JavaScript. If your content is being loaded dynamically, they’re likely missing it completely.
That includes:
- Product descriptions
- Pricing
- Images
- Schema markup
If it’s not in the raw HTML, LLMs like these can’t see it. And if they can’t see it, you won’t show up in AI-generated product recommendations.
Step 2: Add Structured Schema Markup
Once your product pages are crawlable, the next step is making them understandable.
Structured data — specifically Schema.org markup in JSON-LD format — helps systems like ChatGPT, Perplexity, and Google understand what your product is, how much it costs, whether it’s in stock, and more.
Here’s an example of a traditional Google results enhanced with schema markup, appearing as a [rich snippets](/content/hub/seo/snippets "Rich Snippets: A Complete Beginner's Guide"/index.html).
Bonus: Extend to Reviews, FAQs, HowTo
Once your product markup is solid, consider adding:
- Review and AggregateRating blocks
- FAQPage markup for your PDPs or Help Center
- HowTo schema for tutorial content or sharing post-purchase use cases
Step 3: Build a High-Quality Product Feed
Structured feeds have been essential for Google Shopping, Meta Advantage+, and TikTok Shop for a while.
And now, they’re becoming equally important for AI-powered discovery. Especially as platforms like Perplexity and OpenAI build out product recommendation systems.
To optimize your product feeds for AI, start with the essentials:
- Product title
- Description
- Price
- Availability
- Product URL
- GTIN or MPN + Brand
- Image URL
How to Submit Product Feeds to LLMs
Perplexity:
You can find out more about the program and sign up here.
OpenAI (ChatGPT):
Fill out this interest form to apply.
Google Merchant Center (AI Mode and Gemini):
Google’s Merchant Center feeds power Shopping Ads, organic Shopping listings, and likely influence how Google’s AI systems interpret and surface your products in AI Mode and AI Overviews.
Step 4: Monitor LLM Crawlers
Once you’ve put all the steps in place to make your ecommerce store crawlable by LLMs, the next step is to make sure they’re actually accessing your content and product pages.
Set Up Bot Monitoring
Use server logs or your CDN (like Cloudflare, Fastly, or Akamai) to track requests from:
- GPTBot: This user agent is used by OpenAI to crawl web content that may be used in training their generative AI foundation models.
- OAI-SearchBot: Used by OpenAI to link to and surface websites in search results in ChatGPT’s search features.
- PerplexityBot: Identifies Perplexity’s AI search crawler when it accesses websites.
Step 5: Shift from Keyword Lists to Prompts and Personas
Keyword research is still important. But you also need to think about how your customers are likely to prompt AI tools when looking for products like yours.
Your best-performing SEO and paid search keywords are still the foundation. They tell you:
- Which products and categories convert
- How people describe their intent in short-form searches
Step 6: Seed Your Brand Across the Web
Even if your site is crawlable, your schema is perfect, and your feed is super optimized — LLMs still learn about your brand based on what people are saying about you elsewhere.
Where You Want to Show Up
AI tools like ChatGPT, Perplexity, and Claude all lean on third-party review sites and forums in their answers to brand and product-related queries.
- Review sites: Trustpilot, Amazon, Google Reviews, BBB, niche review sites
- Reddit, Quora, & niche forums: Participate in threads and subtly seed your product category (without being spammy)
- YouTube: Appear in titles, transcripts, and product comparisons — even if you’re not the creator (consider partnering with creators to do this)
Step 7: Track Your AI Search Visibility
In traditional SEO, visibility was deterministic: rank #1 for a keyword, get X% of clicks.
AI-powered discovery works differently. Your brand might appear in one version of a response, but not the next.
Step 8: Prepare for Agentic Commerce
AI search is moving fast from recommending products to buying them. Google’s Universal Commerce Protocol (UCP) allows AI agents to complete purchases on a shopper’s behalf, without the shopper ever visiting your site.
With these steps in place, you’ll be better prepared for the future of AIO for ecommerce websites.
LLM Optimization Is Still New, But It’s Gaining Traction Fast
AI-driven search is already reshaping how people discover products. The shift is subtle now, but it won’t stay that way for long.