Get Your Store Recommended by LLMs: The Essential Guide

In this article I’ll explain all you need to know about AI SEO.
I’m Mário, the creator of IndexGPT, a Shopify app that helps stores get indexed by ChatGPT and other LLMs. I’ve spent months studying how LLMs recommend online stores.
After testing dozens of client scenarios, I’ve learned what actually works and what doesn’t.
In this guide, I’ll share quick wins you can implement today and long-term strategies that will help your store earn trust and visibility in AI-powered recommendations.
Why AI Recommendations Matter More Than Ever
When people ask ChatGPT, Perplexity, or Claude for product recommendations, these systems synthesize answers from a handful of trusted sources. Since they’re giving direct recommendations (not lists for you to pick from) they need to make sure these recommendations are safe and worthy.
If your store isn’t recognized as relevant and trustworthy, you won’t appear at all.
And the shift is accelerating. More consumers are turning to AI assistants for product research and shopping decisions. Failing to appear in those AI-generated answers means losing access to a fast-growing source of high-intent customers.
How AI Search Actually Works
Before you optimize, you need to understand what drives AI recommendations.
The Two Layers of AI Intelligence
1. Trained Knowledge
This is what a model learns during training from Common Crawl, Wikipedia, books, and other public sources. It helps AI understand general concepts but doesn’t include new products or stores that appeared after training.
2. Live Retrieval (AI Search)
Modern AI systems can fetch live data from the web. They interpret your question, search for documents, analyze them, and generate an answer. This process, called retrieval-augmented generation, powers ChatGPT with browsing, Perplexity, and Gemini.
How AI Decides What to Trust
AI can’t deeply read every page, so it scores pages based on signals like:
- Clarity: Simple, direct explanations without filler
- Cross-verification: Information confirmed across multiple sites
- Real entities: Brands, people, or locations clearly mentioned
- Readability: Accessible layout and text structure
- Identity markers: Visible author, organization, and contact info
Key insight: AI search is a selection system, not a ranking system. It doesn’t pick the “top 10”, it picks the few it fully understands and trusts.

How ChatGPT has been recommending businesses.
Quick Wins You Can Do Today
Here are the most effective, actionable improvements you can make right now.
1. Apply for the ChatGPT Merchant Program
This is the single most important step. OpenAI’s Merchant Program allows verified merchants to appear in ChatGPT’s shopping recommendations.
Why it matters:
This program gives you direct visibility in one of the world’s most used AI tools, a trust signal that improves how ChatGPT and other LLMs interpret your store.
Action:
Apply at https://chatgpt.com/merchants. Do this first.
2. Fix Your About Page
AI systems must clearly understand who you are, what you sell, and why you exist.
A strong About page includes:
- Real names and photos of founders or team members
- A clear explanation of what you sell and who it’s for
- The story behind your brand (what problem you solve)
- Professional credentials or LinkedIn links
- Domain-based contact information
Bad example:
“We’re passionate about bringing you the best products.”
Good example:
“I’m Sarah Chen, founder of GreenPath Wellness. After struggling to find eczema-safe skincare for my daughter, I created a line made only with EWG-certified organic ingredients. Our products are dermatologist-tested and made in Portland, Oregon.”
3. Strengthen Your Contact Page
AI models value transparent contact details as a trust signal. Avoid hiding behind forms or Gmail addresses.
Include:
- A professional, domain-based email
- A physical location (city and country minimum)
- A phone number or live chat option
- Clear support hours
- Social media links
4. Add Structured Data (Schema Markup)
Schema helps AI understand your site technically, like a structured label describing what’s inside.
Essential schema types:
- Organization schema: Company name, logo, and social links
- Product schema: Product name, description, price, availability, reviews
- BreadcrumbList schema: Navigation hierarchy
- FAQPage schema: Structured Q&A data
Use Google’s Rich Results Test to verify your schema implementation.
5. Write for Understanding, Not Keywords
AI models process natural, conversational language. Write like you’re answering a customer’s question.
Instead of:
“Waterproof and breathable fabric. Perfect for outdoor activities.”
Write:
“Can I wear this jacket in heavy rain? Yes. The outer shell blocks water while the inner layer lets moisture escape, keeping you dry even during long hikes.”
This mirrors how users phrase questions to AI assistants.
6. Create Useful, Interactive Content
AI prefers content that helps users take action. Build interactive tools that offer genuine utility.
Ideas:
- Size guides or fit charts
- Product comparison tables
- Calculators (e.g., shipping or bundle cost)
- Video demos
- Buying guides
You can even use ChatGPT to generate the logic or code for simple calculators and widgets.
7. Build External Validation
AI cross-checks your brand across the web. If you exist only on your own site, you look unverified.
External presence checklist:
- Google Business Profile
- Social media profiles
- Marketplace listings (Etsy, Amazon, Shop App)
- Niche directories or blogs
- Review platforms like Trustpilot or Google Reviews
Even brand mentions without backlinks strengthen your entity.
8. Display Real Reviews
Reviews are a top trust factor. AI systems actively search for review schema and external validation.
Do this:
- Use review apps with structured data (Judge.me, Loox, Stamped, Yotpo)
- Collect reviews on external platforms
- Show total review counts and average ratings
- Include customer photos and detailed testimonials
Long-Term Strategies for Lasting Visibility
The quick wins get you indexed. The following steps help you stay visible and relevant long-term.
1. Build Your Entity Graph
AI understands the world as connected entities, not isolated pages. Strengthen your brand’s web of connections.
Steps:
- Define your key entities (brand name, founders, products, location)
- Keep consistent information everywhere
- Link team members’ profiles back to your site
- Earn brand mentions in articles, podcasts, and directories
Remember: Mentions (even without links) now matter almost as much as backlinks.
2. Keep Content Fresh
Stale content signals irrelevance. Update regularly.
Maintenance schedule:
- Review key pages quarterly
- Update stats, pricing, and examples
- Add new insights or FAQs
- Refresh publication dates
Regular updates tell AI your site is active and trustworthy.
3. Enrich Product Content
Go beyond basic specs. Write product pages that educate and guide.
Checklist:
- Clear benefits and use cases
- Story and context (who it’s for)
- Technical specs and materials
- Visual aids (images, videos, 360° views)
- Comparison charts or size guides
Avoid copy-pasting manufacturer descriptions. AI spots duplication instantly.
4. Build a Knowledge Hub
Position your brand as an expert source in your niche.
Effective formats:
- Buying guides
- Educational explainers
- FAQs and how-to content
- Product comparisons
Even optimized FAQ sections can function as mini knowledge bases.
5. Track and Adapt
You can’t improve what you can’t measure.
Monitor:
- Traffic from AI domains (perplexity.ai, chatgpt.com, claude.ai)
- Bot visits (GPTBot, CCBot, ClaudeBot)
- Mentions of your brand (via Brand24 or Google Alerts)
- Direct deep-page entries (AI referrals often skip your homepage)
Monthly check-ins:
- Are AI crawlers visiting more often?
- Are you mentioned in AI results?
- Do AI assistants recognize your brand when prompted?
Here’s how to check your AI traffic on GA4:



Go to GA4 > Reports > Traffic Acquisition



Click on the arrow as shown above and click Session Source / medium
Common Mistakes to Avoid
- ❌ Generic AI-generated content: It adds noise, not value.
- ❌ Hiding your identity: Faceless brands lack trust.
- ❌ Neglecting technical SEO: Broken sites can’t be indexed.
- ❌ Keyword stuffing: AI reads meaning, not density.
- ❌ Inconsistent data: Keep names, addresses, and descriptions identical everywhere.
How IndexGPT Helps
IndexGPT was built specifically to help Shopify stores become visible to LLMs.
Our app:
- Identifies what’s blocking your store from being recommended
- Tracks visits from AI crawlers like GPTBot and PerplexityBot
- Automates IndexNow submissions to speed up indexing
We analyze your store the same way AI systems do, then show you what to fix first.
The Bottom Line
Getting recommended by LLMs isn’t about gaming the system. It’s about demonstrating that your brand is real, reliable, and helpful.
Start with the quick wins (especially applying to the ChatGPT Merchant Program) then build a strong entity presence, fresh content, and cross-platform validation.
AI search is evolving fast. Stores that prepare now will hold the advantage for years to come.
About the Author
Mário Mateus is the creator of IndexGPT, a Shopify app that helps stores get indexed and recommended by ChatGPT and other large language models. He has analyzed hundreds of e-commerce stores to uncover what truly drives AI visibility.
Get Your Store Recommended by LLMs: The Essential Guide
By Mario Mateus Nov 6, 2025
