From website scan to fix-ready growth plan.

How LLMCheck works

1. Scan the website — Enter your URL. LLMCheck audits public HTML, metadata, scripts, and paths.
2. Generate Website Snapshot — Free report with scores, issues, fixes, and section-level recommendations.
3. Unlock the right fix pack — Choose AI Search, Tracking, or Agent Actions based on your gaps.
4. Copy the AI-editor implementation prompt — Paste into Cursor, Claude, or ChatGPT for guided fixes.
5. Apply with developer or AI editor — Use files, maps, checklists, and the 30-day improvement plan.
6. Rescan and validate — Rerun Website Snapshot and compare scores to your baseline.

What Website Snapshot includes

• AI Search — metadata, schema, robots/sitemap, llms files, citeable content
• Agent Actions — CTAs, forms, pricing/contact paths, action clarity
• Tracking — analytics tags, pixels, forms, conversion paths in public HTML
• Technical — status codes, canonical, headings, JS weight, mobile, links

What paid packages add

• llms.txt and structured content drafts
• Schema and metadata recommendations
• Tracking event maps and gap notes
• Agent action maps and descriptor drafts
• AI-editor implementation prompts (Cursor, Claude, ChatGPT)
• 30-day improvement plan with owners and acceptance criteria
• Rescan validation checklist

Sample outputs

Illustrative excerpts (not from your site).

# Example Site
> AI-native project management for remote teams.

## Product
- /pricing — Plans and packaging
- /docs — API and integration docs

## Contact
- hello@example.com

Add Organization + WebSite JSON-LD on the homepage:

{
  "@context": "https://schema.org",
  "@type": "Organization",
  "name": "Example SaaS",
  "url": "https://example.com"
}

Also add FAQPage schema on /faq for citeable answers.

Homepage
  page_view — detected (GA4)
  cta_click — missing on /pricing button

Pricing page
  view_pricing — not detected
  begin_checkout — not detected

Booking
  calendly embed detected
  booking_confirmed — cannot verify without admin access

view_pricing → /pricing (link, clear)
contact_sales → /contact (form, labeled)
book_call → Calendly embed (ambiguous label: "Schedule")
submit_lead_form → /demo (missing field labels)

You are implementing AI Search improvements for example-saas.com. Work incrementally and preserve unrelated code.

## Tasks
1. Add or improve /llms.txt and /llms-full.txt
2. Add canonical and Open Graph tags on homepage
3. Add Organization + WebSite JSON-LD and FAQ block
4. Improve AI-readable page structure

## Acceptance checks
- /llms.txt returns 200
- JSON-LD validates
- Rerun Website Snapshot at https://www.llmcheck.org/scan

## Week 1 — Technical and AI search basics
Owner: Developer | Output: Fixed metadata and crawl basics | Acceptance: Snapshot technical score improves

## Week 2 — AI-readable files and structured content
Owner: Developer + Marketer | Output: llms.txt live, schema added | Acceptance: Files found in rescan

## Week 3 — Tracking and conversion path validation
Owner: Technical marketer | Output: Event map documented | Acceptance: Primary events fire in DebugView

## Week 4 — Agent actions and rescan validation
Owner: Developer | Output: Clear CTAs and action map | Acceptance: Agent Actions score improves

Baseline report: https://www.llmcheck.org/report/example (score 62/100)

## Before rescan
- [ ] Fixes deployed to production
- [ ] llms.txt / schema / tags verified

## Rescan
- [ ] Run Website Snapshot at https://www.llmcheck.org/scan

## Compare
- [ ] Overall score vs baseline (62/100)
- [ ] Section scores and top issues improved

What can be checked publicly

• HTML, metadata, scripts, links, buttons, and forms
• Public files: robots.txt, sitemap.xml, llms.txt
• Public paths for pricing, contact, docs, and conversion pages

What requires access

• GA4/GTM admin validation
• Meta Events Manager validation
• Stripe/Calendly admin validation
• CMS or repo implementation
• Server-side tracking validation

Limitations

LLMCheck provides technical recommendations and generated growth assets, not ranking, citation, revenue, or analytics-event guarantees.

Review before publishing. Align generated recommendations with your actual website, analytics setup, and business claims.

Automated audits analyze public pages only. Tracking validation beyond visible HTML requires access you provide.