LLMify vs LLMs.txt – AI Visibility
Two Shopify apps, side by side: detected stores, momentum, reviews, plans, listed features and who runs each. Store counts as of Oct 14, 2026 for LLMify, Sep 3, 2026 for LLMs.txt.
The short answer
- On the Shopify App Store: LLMify 5.0 from 2 reviews and LLMs.txt 4.0 from 2 reviews.
- LLMify lists 6 features LLMs.txt’s listing doesn’t mention, including Audits, Automations, Content optimization.
Head to head
Momentum
New reviews each month
Review pace is the clearest public read on how fast an app is winning new merchants.
Standard
- · Auto-Regeneration Control
- · Real-Time Analytics
- · Unlimited Blogs
- · Unlimited Collections
- · Unlimited Pages
- · Unlimited Posts
Coverage counts what each App Store listing names. Every feature, checked off app by app, is in Shoplist.
See every featureAI assistants like ChatGPT, Perplexity, and Claude are becoming how people discover products online. llms.txt is the standard that lets these AI tools read and understand your store. AIReady automatically generates and hosts your llms.txt file, including your products, collections, pages, and policies. You control exactly what gets included, set filters, and regenerate with one click.
LLMs.txt is a standard file format that AI assistants read to understand what a store sells. This app generates that file automatically from your products and pages, then publishes it to your store. When the file is live, AI assistants like ChatGPT and Perplexity can read it when shoppers ask them for product recommendations.
- Auto-generate a llms.txt file for ChatGPT, Perplexity, and Claude to read
- Control exactly which products and collections are included or excluded
- One-click regeneration with instant preview before going live
- Built-in analytics to see which AI agents are fetching your file
- Automatically generates an llms.txt file from your store products and pages
- Publishes your llms.txt so AI assistants like ChatGPT can find your store
- Keeps the file in sync whenever you add or remove products
- Lets you write a custom store description for AI assistants to use
All the numbers
Every figure, side by side
A green dot marks the app ahead on a measured figure. Estimates, gaps and apps that leave no storefront trace never take the lead.
Adoption
| Measure |  LLMify |  LLMs.txt |
|---|---|---|
| Detected stores | Not published | Not published |
| Net store change, 28 days | 0 | 0 |
| Stores added, 28 days | Not enough data | Not enough data |
| Big-brand share | Not enough data | Not enough data |
| Top store categories | Not published | Not published |
| Top store countries | Not published | Not published |
Reviews
| Measure | LLMify | LLMs.txt |
|---|---|---|
| App Store rating | 5.0 ★(ahead) | 4.0 ★ |
| App Store reviews | 2 | 2 |
| New reviews, 28 days | Not enough data | Not enough data |
| Reviewers a year or more in | Not enough data | Not enough data |
FAQ
LLMify and LLMs.txt: common questions
- Which has better reviews, LLMify or LLMs.txt?
- On the Shopify App Store: LLMify 5.0 from 2 reviews and LLMs.txt 4.0 from 2 reviews.
- What features does each app list that the other doesn’t?
- LLMify lists 6 the others don’t mention, such as Audits, Automations, Content optimization, Local SEO. LLMs.txt lists 1 the others don’t mention, such as Rank tracking. A feature missing from a listing may still be supported; this compares what each App Store listing says.
- Where does this comparison’s data come from?
- Shoplist crawls Shopify storefronts to detect which apps each store runs, and reads each app’s Shopify App Store listing for reviews, pricing, features and integrations. Store counts are as of Oct 14, 2026 for LLMify, Sep 3, 2026 for LLMs.txt; estimated figures are labeled.
How Shoplist compares apps
Store counts come from Shoplist’s crawl of Shopify storefronts, which detects the apps each store runs; they are as of Oct 14, 2026 for LLMify, Sep 3, 2026 for LLMs.txt. Reviews, ratings, plans, features and integrations come from each app’s Shopify App Store listing. 28-day figures are labeled when estimated, and a figure that is missing or estimated never decides who leads. Read the methodology.