llms-full.txt

The full-content companion to llms.txt — everything an AI needs, in a single file.

llms-full.txt is served at yourstore.com/llms-full.txt. It uses the same structure as llms.txt but inlines much more detail — descriptions, variants, availability, and page content — so an AI assistant can ingest your full store context in one fetch instead of following many links.

llms.txt vs llms-full.txt

Where llms.txt is a concise index (title + URL + short note), llms-full.txt adds the depth:

• Store information — brand, contact, shipping, and returns summarized up front
• Products with full detail — price, availability, variants, and descriptions
• Collections and pages — with their content inlined rather than just linked

Think of llms.txt as the table of contents and llms-full.txt as the full book — same outline, far more text.

Where to find it

In Avada AEO optimizer, open agent.md and llms.txt and select the llms-full.txt tab. Click the URL (e.g. https://yourstore.com/llms-full.txt) to view the live file generated for your store.

Before AI can read it: your storefront password must be off — click Disable password in the banner if shown.

Custom llms-full.txt

By default, llms-full.txt is generated for you and stays in sync with your store. To override it with your own instructions, turn on Custom llms-full.txt, then click Edit. Click Sync anytime to refresh the file from your store and return to the auto-generated version.

What's included

llms-full.txt is built from the same Settings as llms.txt — the content types (Pages, Collections, Blog posts, Products), fields, and languages you choose apply to both files.

When it matters most

• Text-heavy stores where product descriptions and guides carry the buying decision.
• Merchants who want an AI to answer detailed spec, variant, or availability questions accurately.
• Cases where you'd rather give the AI complete context in one request than have it crawl page by page.

Tip: keep your included content focused. A rich llms-full.txt is valuable, but an overly large file is slower for AI to read.