llms.txt is a signpost. Schema is the map. Neither replaces clarity.

Framer can host AI-readable files and structured data, but the files only help if they point to clear source pages and claims your business can defend.

Start with the source pages

Before adding technical files, make sure the site itself has clear source pages. A vague homepage with llms.txt is still vague. The file should point AI systems toward pages that explain the company, services, proof, people, pricing, comparisons, and FAQs.

• Homepage: one clear category claim and audience.
• Service pages: one page per offer, with scope and fit.
• About page: founder, company, location, and proof points.
• Comparison pages: honest alternatives and use cases.
• FAQ pages: direct buyer questions answered plainly.

Add llms.txt

Use llms.txt as a curated index for AI agents and search systems. Keep it short, structured, and useful. Link to the canonical pages you actually want interpreted as source material.

• Describe what the company does in plain language.
• List canonical pages with one-line explanations.
• Include product, service, pricing, proof, and contact links.
• Update it when the site structure changes.

Add JSON-LD schema that matches the page

Schema should reinforce visible content. Do not emit a type just because it sounds impressive. Use Organization, WebSite, Service, Product, FAQPage, Article, BreadcrumbList, Person, or LocalBusiness only where the visible page supports it.

• Put Service schema on real service pages.
• Put FAQPage schema only where the questions are visible.
• Use Person schema for real founder/profile pages.
• Use Article schema for real articles with author and date.
• Validate before launch and after major edits.

Next step

Built in Framer? Run the free Framer AEO Gap Check to see whether ChatGPT, Claude, and Gemini can explain the company behind the site.

Framer-aware resources

• Framer AEO Gap Check — Built or migrated a site in Framer? Run a free Mythos proof to see whether ChatGPT, Claude, and Gemini can explain, cite, and compare your company.
• Framer AEO Scanner vs Mythos — Compare Framer's AEO Scanner with Mythos: a quick site scan versus a founder-reviewed AI visibility audit across ChatGPT, Claude, and Gemini.
• Is Framer Good for AI Search Visibility? — Framer can support strong SEO and AI-readable site structure, but visibility depends on content clarity, schema, citations, and whether AI engines actually cite you.
• Framer vs WordPress for SEO and AI Visibility — Compare Framer and WordPress for SEO, AEO, security, publishing workflows, schema, redirects, and authority preservation.
• Aegis vs Framer: Website Builder vs Authority Rebuild — Compare Framer's website-building platform with Aegis, the authority rebuild layer for preserving SEO, routes, schema, redirects, and AI-readable source signals.
• Framer vs Custom React Site for Authority — Compare Framer and custom React/static sites for SEO, AI visibility, publishing control, schema, redirects, performance, and authority maintenance.
• Before Migrating WordPress to Framer: SEO Preservation Checklist — A pre-migration checklist for moving from WordPress to Framer without throwing away routes, redirects, metadata, structured data, or AI-readable authority.
• Framer SEO Audit Checklist for ChatGPT, Claude, and Gemini — A Framer SEO and AEO checklist for teams that want their site to be clear to Google, ChatGPT, Claude, Gemini, and other answer engines.
• The Framer AI Visibility Checklist — A practical Framer AI visibility checklist covering llms.txt, JSON-LD, metadata, service pages, comparison pages, citations, and Mythos proof testing.

Download the Framer AI Visibility Checklist.