Honest Comparison
Index AI vs Arc llms.txt.
Full AI-SEO stack or single-file generator?
Arc is a focused llms.txt generator. Index AI is the full AI-search execution stack: llms.txt, a complete Schema.org suite, IndexNow integration, and an AI Readiness Score that tells you what is missing. Different scopes — here is when to pick each.
Index AI
by BrandUp Factory
Full AI-search execution stack: llms.txt + complete Schema.org suite + IndexNow + AI Readiness Score. One dashboard, one source of truth.
- Auto-generated llms.txt
- Complete Schema.org suite
- IndexNow push integration
- AI Readiness Score diagnostic
Arc llms.txt
Single-file generator
Focused single-purpose tool: generate an llms.txt file from your Shopify store. Narrow scope by design.
- llms.txt generation
- No Schema.org suite
- No IndexNow integration
- No diagnostic / readiness layer
Side by side
Feature-by-feature.
One file vs the full stack. The table makes the boundary obvious.
Index AIGenerated automatically from your storefront, kept fresh as the catalogue changes.
Arc's core job — a focused llms.txt generator for Shopify.
Product, Organization, BreadcrumbList, FAQ, Article, ItemList — injected at the template level via Liquid.
Arc focuses on llms.txt; structured data is not its job.
Pings IndexNow when URLs change — Bing-aligned engines pick changes up in minutes, not weeks.
Not part of Arc's scope.
Composite score covering llms.txt, schema coverage, IndexNow status, sitemap freshness — tells you what is missing.
No diagnostic layer beyond llms.txt itself.
Live validation against the schema standard — catches missing required fields before they hit production.
No schema in scope.
Keeps sitemap.xml in sync with catalogue changes plus emits lastmod signals.
Relies on Shopify's built-in sitemap.
One-click install. AI Readiness Score guides you to the first wins.
Generating the llms.txt file is itself fast — that is the one job Arc targets.
Schema, llms.txt, IndexNow stay in sync with the catalogue automatically.
Regenerate llms.txt when the catalogue meaningfully changes.
Static markup + a fixed route. No runtime cost on customer pages.
Same — llms.txt is a static file at the root.
BrandUp Factory — direct team support.
Narrow scope by design.
The honest take
When to pick which.
If you only need llms.txt, a single-purpose tool is fine. If you are serious about AI search as a channel, you need the full stack — and you want one tool keeping it in sync.
Pick Index AI when…
- You want the full AI-search execution stack — llms.txt plus schema plus IndexNow plus a readiness diagnostic.
- You care about AI-answer engines AND classic Bing indexing — IndexNow is the bridge.
- You want a single dashboard that tells you what is missing, not just generates one file.
- You're investing in AI-search now and want one stack that grows with the standard as it evolves.
- You value support from the team that ships the app — direct from BrandUp Factory.
Pick Arc llms.txt when…
- You only need an llms.txt file and you already have your schema + IndexNow handled elsewhere.
- You prefer a single-purpose tool over a stack — narrow scope is the design.
- You're running an llms.txt experiment and want minimal surface area.
FAQ
Common questions.
Ship the full AI-search stack.
Free to install. llms.txt, a complete Schema.org suite, IndexNow push integration, and an AI Readiness Score — all in one dashboard.