LLMCheckRun Website Snapshot — Free

Sample Website Snapshot + AI Search Fix Pack

Example workflow: free snapshot → Growth Plan preview → AI Search Fix Pack ($149) → rescan validation.

Sample report — example-saas.com

Website Snapshot — Free

Overall score 62/100 — useful foundation with fixable gaps in AI Search, tracking events, and CTA clarity.

  • AI Search: 58
  • Agent Actions: 65
  • Tracking: 54
  • Technical: 71

Best first paid step

Get AI Search Fix Pack — $149

  • llms.txt and llms-full.txt drafts
  • Schema and metadata fixes
  • AI/SEO/GEO Growth Plan
  • Cursor/Claude implementation prompt
  • Rescan checklist

llms.txt draft

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

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

## Contact
- hello@example.com

AI-editor implementation prompt

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://llmcheck.org/scan

30-day AI/SEO/GEO growth plan

## 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

Rescan validation checklist

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

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

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

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

Workflow

  1. Scan the websiteEnter your URL. LLMCheck audits public HTML, metadata, scripts, and paths.
  2. Generate Website SnapshotFree report with scores, issues, fixes, and section-level recommendations.
  3. Unlock the right fix packChoose AI Search, Tracking, or Agent Actions based on your gaps.
  4. Copy the AI-editor implementation promptPaste into Cursor, Claude, or ChatGPT for guided fixes.
  5. Apply with developer or AI editorUse files, maps, checklists, and the 30-day improvement plan.
  6. Rescan and validateRerun Website Snapshot and compare scores to your baseline.

Also available — other audit outputs

Tracking and Agent Action audits unlock specialized maps when you need them.

Event map (Tracking Audit — $299)

Homepage — page_view detected (GA4)
Pricing — view_pricing not detected
Booking — calendly embed; booking_confirmed needs admin access

Action map (Agent Action Audit — $399)

view_pricing → /pricing (clear)
contact_sales → /contact (form)
book_call → Calendly (ambiguous: "Schedule")

Rescan validation: After applying fixes, rerun Website Snapshot on your live URL and compare scores to this baseline using the checklist above.