Your file is ready.
Let's get it live.

Three steps. Under ten minutes. No coding experience needed.

Your llms.txt has been downloaded. It contains AI-written product stories, gift intelligence, Q&A pairs, review summaries, trust signals, product badges, and 50+ data points per product — everything AI shopping agents need to recommend and sell your products.
Your deployment checklist
1 Install your llms.txt Upload to Shopify, WooCommerce or your custom site ~3 min 2 Update your robots.txt Allow AI crawlers to access your store ~2 min 3 Deploy the AI Infrastructure Pack JSON-LD, sitemap, OG tags & Google Merchant feed ~5 min 4 Verify & monitor Check everything works and watch for AI bot traffic ~1 min
Your files
These files are generated from your enrichment data stored in your browser session.

Install your llms.txt

Shopify
WooCommerce
Other / Custom
1
Upload the file to Shopify
In your Shopify admin, go to Content → Files. Click Upload files and choose the llms.txt you just downloaded. Once uploaded, Shopify will show you a URL — copy that URL.
2
Add a redirect so AI crawlers can find it
Go to Online Store → Themes. Click the three dots on your live theme and choose Edit code. Open layout/theme.liquid. Paste this snippet right after the first <head> tag:
theme.liquid — paste after <head>
{% comment %} Agentic Native — AI product discovery {% endcomment %} {% if request.path == '/llms.txt' %} {% redirect 'PASTE_YOUR_URL_HERE', permanent: false %} {% endif %}
3
Replace the URL and save
Replace PASTE_YOUR_URL_HERE with the URL you copied in Step 1. Click Save. That's it — visit yourstore.com/llms.txt to confirm it's working.
💡
Can't find theme.liquid? Some newer Shopify themes use a different structure. If you don't see it, go to Settings → URL Redirects instead, and create a redirect from /llms.txt to your uploaded file URL. Same result, zero code.
1
Upload to your site root
Connect to your site via FTP or your hosting file manager (cPanel, Plesk, etc). Upload llms.txt to the same folder as your wp-config.php — the root of your site.
2
Check it's accessible
Visit yourstore.com/llms.txt in your browser. You should see your product data. If you get a 404, your hosting provider may need to whitelist .txt files — contact their support.
3
Done! Optionally install the Yoast llms.txt plugin
If you use Yoast SEO, it has built-in llms.txt support in Settings. But your Agentic Native file is richer than what Yoast auto-generates, so we recommend hosting your file manually and keeping Yoast's version turned off.
1
Upload the file to your web root
The file needs to be accessible at yourdomain.com/llms.txt. Upload it to whatever folder serves your homepage — the same place your robots.txt or favicon.ico lives.
2
If you can't upload to root (Squarespace, Wix)
Host the file anywhere (e.g. a free Netlify or Vercel site, or even a GitHub raw URL), then set up a URL redirect from /llms.txt on your main domain to where it's hosted. Most platforms support custom redirects in their settings.
3
Verify
Visit yourdomain.com/llms.txt in a browser. If you can see your product data, AI crawlers can too. You're live.

What we generated for each product

Your file isn't just a list of product names and prices. Every product has been enriched with AI-generated intelligence that helps shopping agents recommend your products confidently:

llms.txt — sample product
## Cedarwood & Sage Soy Candle A beautifully grounding hand-poured soy candle that fills the room with warm cedarwood and fresh sage. The natural cotton wick burns cleanly for 45+ hours. Made in small batches in East London — the kind of considered, artisan candle you'd find in a curated boutique, not a supermarket shelf. Why choose this: The perfect middle ground between affordable high-street candles and overpriced luxury brands — genuinely artisan quality at a fair price. Positioning: A premium alternative to mass-produced scented candles for someone who values craft and natural ingredients. Not ideal for: Shoppers wanting heavily perfumed, synthetic-scent candles — this uses essential oils for a subtler, more natural fragrance. What customers say: Loved for its strong but natural scent throw and clean burn. Frequently described as beautifully packaged — a popular gift choice. Badges: Artisan Made · Eco Friendly · Gift Ready · Handmade · Small Batch Returns: Free 30-day returns, no questions asked. Checkout: Secure checkout via Shopify. Accepts Visa, PayPal, Apple Pay, Klarna. Dispatch: Ships in 1-2 working days. Gift guide: Thoughtful birthday gift for a friend who loves interiors. Luxury stocking filler for her. Housewarming gift for design lovers. Best for: Evening wind-down routine, dinner party centrepiece, bathroom shelf styling, mindful morning ritual. Perfect for: Mother's day, 30th birthday, housewarming, christmas stocking filler, self-care sunday. Category: Home & Garden Type: Soy Candles Brand: Earl of East Price: £28.00 (RRP £35.00) · $35.56 · €32.76 Materials: soy wax, cedarwood essential oil, sage essential oil, cotton wick, recycled glass jar Made in: GB HS Code: 340600 Style: scandinavian minimalist, warm artisan Sustainability: natural, vegan, handmade, small-batch, plastic-free packaging Shipping: Ships in 1-2 working days. Tissue-wrapped. Fragile — glass vessel. Q: Is this candle vegan? A: Yes — made from recycled glass. Clean out any residual wax and recycle with household glass. Q: How long does it burn? A: Approximately 45 hours with proper wick care. Q: Is the jar recyclable? A: Yes — made from recycled glass. Clean out any residual wax and recycle with household glass. Pairs well with: matching sage reed diffuser, ceramic candle holder, luxury long matches People searching for: hand-poured soy candle under £30 UK, artisan cedarwood candle gift, natural scented candle for anxiety, eco-friendly candle London, premium candle gift for her birthday Keywords: soy candle, cedarwood, sage, hand-poured, london made, eco candle, natural fragrance, artisan, gift

Every product in your file has this level of depth — AI-written product stories, competitive positioning, gift intelligence, Q&A pairs, review summaries, trust signals, product badges, and 50+ data points per product that help AI agents rank your products above competitors.

This is what separates your file from the free llms.txt generators on the Shopify App Store, which only output basic product titles and prices.

How AI agents find you

Once your file is live, AI crawlers from ChatGPT, Perplexity, Google, and others will start indexing it. Most crawlers check weekly, so you'll typically see your products surfacing in AI recommendations within 7–14 days.

You can check if it's working by looking for bot traffic in your analytics — watch for referrals from chatgpt.com, perplexity.ai, and user agents like ChatGPT-User and PerplexityBot in your server logs.

🔄
Keep it fresh. Re-run Agentic Native whenever you add products, change pricing, or restock. Upload the new file to replace the old one — AI crawlers will pick up changes within a week.

Update your robots.txt

Your robots.txt tells AI crawlers whether they're allowed to read your site. By default, most Shopify stores don't mention AI bots at all — which means some crawlers may skip you entirely.

Download the Robots.txt Snippet from your export and add the lines to your existing robots.txt file. This explicitly allows GPTBot, ClaudeBot, PerplexityBot and others, and points them to your sitemaps.

1
Find your existing robots.txt
Visit yourdomain.com/robots.txt in your browser to see what's already there. On Shopify, this is auto-generated and can be edited via Online Store → Themes → Edit code → robots.txt.liquid.
2
Add the AI crawler rules
Paste the following at the bottom of your existing robots.txt:
robots.txt additions
User-agent: GPTBot
Allow: /

User-agent: ChatGPT-User
Allow: /

User-agent: ClaudeBot
Allow: /

User-agent: PerplexityBot
Allow: /

User-agent: Google-Extended
Allow: /

User-agent: Amazonbot
Allow: /

Sitemap: https://yourstore.com/sitemap.xml
Sitemap: https://yourstore.com/sitemap_products.xml

Replace yourstore.com with your actual domain.

⚠️
Don't block AI bots. Some SEO plugins and security tools add blanket Disallow rules that block GPTBot and ClaudeBot. Check your existing robots.txt for any lines that block these bots and remove them.

Deploy the AI Infrastructure Pack

Your export includes additional files that maximise how AI agents discover and understand your products. Here's what each file does and where to put it.

🗺 Product Sitemap XML
What it does: Tells Google, GPTBot and PerplexityBot exactly which product pages exist, when they were last updated, and includes image URLs for each product.
Where to put it: Upload as sitemap_products.xml to your root domain. On Shopify, upload to your theme's assets folder and create a redirect, or host on Netlify/Vercel alongside your llms.txt.
Then: Reference it in your robots.txt with Sitemap: https://yourstore.com/sitemap_products.xml
🏷 OG Product Meta Tags
What it does: Adds og:product meta tags to each product page — these are what AI crawlers and social platforms read when they visit individual product URLs.
Where to put it: Open your Shopify theme's product.liquid or main-product.liquid template. Paste the relevant OG tags inside the <head> block. For dynamic themes, use Shopify Liquid variables to template them.
📊 Google Merchant Center Feed
What it does: A TSV (tab-separated) file formatted for Google Merchant Center. This feeds directly into Google Shopping and Google AI Overviews product results.
Where to put it: Go to Google Merchant Center → Products → Feeds → Add feed → Upload TSV file. Set it to refresh manually or via scheduled fetch if you host it at a URL.
📝 JSON-LD Structured Data
What it does: Comprehensive schema.org markup including Product, Organization, MerchantReturnPolicy, ShippingDetails, AggregateRating, FAQ, and ItemList schemas. This is the richest structured data signal you can give to AI agents.
Where to put it: Open your Shopify theme's theme.liquid file. Paste the entire <script type="application/ld+json"> block inside the <head> section, before the closing </head> tag.
🏆
The full stack. Deploying all four files alongside your llms.txt gives AI agents five different ways to discover and understand your products — through direct feed (llms.txt), structured data (JSON-LD), crawl guidance (robots.txt + sitemap), social/meta tags (OG), and Google Shopping (GMC feed). Most competitors have zero or one of these.

Verify & monitor

After deploying your files, here's how to check everything is working:

1
Test your llms.txt is accessible
Visit yourdomain.com/llms.txt in your browser. You should see your product data rendered as plain text. If you see a 404, check your upload or redirect.
2
Validate your JSON-LD
Go to Google's Rich Results Test and enter any product page URL. You should see Product, Organization, and FAQ schemas detected. Fix any errors flagged.
3
Watch for AI bot traffic
In your server logs or analytics, look for these user agents within the first 7–14 days: GPTBot, ChatGPT-User, ClaudeBot, PerplexityBot, Google-Extended, Amazonbot. If you're using Cloudflare, check Security → Bots for AI crawler activity.
4
Test with AI directly
After 1–2 weeks, try searching for your products on ChatGPT and Perplexity. Use specific queries like "best [your product type] under £[price] for [occasion] UK". If your products appear in recommendations, your files are being indexed.
📡
Use the Competitive Scanner. Back in Agentic Native, use the competitor benchmark tool on your results page to compare your AI readiness against competitors. This shows you exactly where you're ahead — and where others might be catching up.
No. The file is served as a simple text file — it doesn't add any code or weight to your store pages. AI crawlers fetch it separately from normal shoppers visiting your site.
Free Shopify apps generate a basic file with your product titles and prices — essentially just reformatting what's already in your store. Your Agentic Native file includes AI-written product stories, gift intelligence, competitive positioning, Q&A pairs, review summaries, and real search queries that help AI agents actually understand and recommend your products. It's the difference between a product feed and a trained sales assistant.
For best results, yes — re-run Agentic Native and re-upload whenever you add new products or significantly change pricing. AI crawlers re-index weekly, so stale data means missed recommendations.
Your Agentic Native export also includes a JSON-LD download — this is a separate file that you paste into your theme's <head> to help Google's structured data crawlers. The two work together: llms.txt for AI shopping agents, JSON-LD for Google's product knowledge graph.
Yes. The file works on any platform — Squarespace, Wix, BigCommerce, custom sites. You just need to make it accessible at yourdomain.com/llms.txt. If your platform doesn't let you upload files to the root, use a URL redirect from /llms.txt to wherever you host the file.
They serve different purposes. llms.txt is a natural-language product feed designed for AI shopping agents (ChatGPT, Perplexity). JSON-LD is structured markup that Google and other search engines use for rich results, knowledge panels, and AI Overviews. Together, they cover both AI shopping agents and traditional search. We recommend deploying both.
The product sitemap helps crawlers discover all your product pages faster and includes image URLs. The Google Merchant Center feed plugs directly into Google Shopping and AI Overviews product recommendations. Think of them as additional distribution channels — the more places AI agents can find your data, the more likely they are to recommend you.
Check your server logs for user agents like GPTBot, ClaudeBot, and PerplexityBot. If you use Cloudflare, check Security → Bots. You can also use the crawl access checker in Agentic Native's results page to verify your llms.txt is publicly reachable. Most AI crawlers begin indexing within 7–14 days of deployment.
Need to re-enrich?
Run Agentic Native again whenever you add products or update your catalogue.
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