Sample Website Snapshot + AI Search Fix Pack
Diagnosis → evidence → deliverables → implementation → rescan. Example workflow for 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
- Scan the website — Enter your URL. LLMCheck audits public HTML, metadata, scripts, and paths.
- Generate Website Snapshot — Free report with scores, issues, fixes, and section-level recommendations.
- Unlock the right fix pack — Choose AI Search, Tracking, or Agent Actions based on your gaps.
- Copy the AI-editor implementation prompt — Paste into Cursor, Claude, or ChatGPT for guided fixes.
- Apply with developer or AI editor — Use files, maps, checklists, and the 30-day improvement plan.
- 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.