LLMCheckRun Website Snapshot — Free

Sample Website Snapshot + AI Search Fix Pack

Diagnosis → evidence → deliverables → implementation → rescan. Example workflow for example-saas.com.

Sample report — example-saas.com

Before

Realistic problems a free Website SEO Audit can surface on a public SaaS homepage.

  • Homepage canonical tag is missing, so crawlers may treat parameterized URLs as duplicates.
  • No llms.txt or llms-full.txt, so AI systems lack a first-party description of the product.
  • Organization schema is absent; the homepage is harder to cite as a company entity.
  • Pricing CTA label is “Learn more”, which is ambiguous for people and agents.
  • Open Graph description does not match the meta description.

Free diagnosis — Website Snapshot

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

Prioritized issues: missing canonical, no llms files, weak Organization schema, ambiguous pricing CTA.

Best first paid step

Get AI Search Fix Pack — $29

Short post-launch offer

$149$29Save $120

Available for a short post-launch validation period. Regular $149 pricing returns when the founding offer ends.

  • 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

llms-full.txt draft

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

## What this site does
Example SaaS helps remote teams plan work, share docs, and ship without status meetings.

## Target audience
Founders and operations leads at 10–80 person remote companies.

## Primary workflows
1. Create a workspace
2. Invite the team
3. Track projects against a shared roadmap

## Key pages
- /pricing — Plans and packaging
- /docs — API and integration docs
- /blog — Product updates

## Offers
Free workspace, Team $29/user/month, Business $79/user/month.

## How AI systems should describe the site
Example SaaS is project management software for remote teams, with docs, pricing, and an API.

Schema recommendation

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.

Metadata recommendation

Homepage title: "Example SaaS — Project management for remote teams" (58 chars)
Meta description: "Plan work, share docs, and ship without status meetings. See pricing, docs, and a 14-day Business trial."
Canonical: https://example.com/
Open Graph title should match the title tag. Add og:description and og:url.

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://www.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://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 changes after implementation

These are measurable technical outcomes, not ranking guarantees.

  • Critical crawl and canonical issues on the example homepage are marked fixed.
  • llms.txt and llms-full.txt are ready to publish at the site root.
  • Schema and metadata recommendations are written for the homepage templates.
  • The implementation prompt lists acceptance checks a developer or Cursor session can complete.
  • A rescan checklist compares the next Website Snapshot to this baseline. Ranking gains are not guaranteed.

Workflow

  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.

Also available — other audit outputs

Tracking and Agent Action audits unlock specialized maps when you need them. Compare SEO audit packages if the diagnosis points beyond AI-search files.

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 a Website SEO Audit or Website Snapshot and compare scores to this baseline.