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Evidence

Client results

Three engagements. Three industries. No paid campaigns. All results are from organic AI traffic after deploying the machine-readable layer. Client names withheld by mutual agreement.

Case study 01 · Healthcare

245,945 views. 172 countries. Under 10 days.

One of India's largest multi-specialty hospital networks — 25+ facilities — was recognised by every major AI platform but never recommended. Patients asking about specific specialties or city-level care got no results from this network. The problem was structural, not content.

Results — first 10 days post-deployment
245,945
total views across 225 pages
5.5×
daily uplift (day 1 vs day 8 baseline)
172
countries where AI-referred visitors arrived
42,035
AI/bot visits (17% of total traffic)
1,807
AI fetches on day 1 alone
$0
ad spend

What was done

  • ✓ JSON-LD schema deployed across all department, doctor, and procedure pages
  • ✓ Entity definitions built for every specialty-location pairing
  • ✓ llms.txt published with full site structure for AI crawlers
  • ✓ Physician authority signals added in structured markup
  • ✓ Three changes to existing files — no rebuild, no CMS migration

What it proves

Healthcare is YMYL: AI will not recommend a hospital it recognises but cannot verify. The 1,807 AI fetches on day 1 show that crawlers act immediately once the machine-readable layer is live. The 44.3% AI share on Sunday confirms patients use AI to find care outside business hours.

Unique bot IPs grew from 59 on day 1 to 342 on day 8 — AI crawlers indexed more pages as they discovered structured content.

Read the full write-up →

Case study 02 · Consumer goods

24,670 views in 22 days. 3x uplift. No plateau.

A global consumer brand with 500 product pages had strong traditional search presence but near-zero AI citation. After deploying the machine-readable layer, AI-referred traffic grew every week through the 22-day measurement window.

Results — first 22 days post-deployment
24,670
total views across 500 pages
3×
daily uplift from week 1 to week 3
2,531
views on the best single day
22 days
measurement window, no plateau reached
500
pages covered
$0
ad spend

What was done

  • ✓ Product schema deployed at scale across 500 pages
  • ✓ llms.txt and entity definitions published
  • ✓ Brand authority structured for cross-platform citation

What it proves

No plateau through 22 days suggests the compounding nature of AI citation: as more crawlers index structured content, more queries route traffic back. Traditional SEO plateaus. AI citation compounds.

Case study 03 · Local services

Invisible to AI. Cited by name in 24 hours.

An Australian laptop repair shop had no SEO presence, no backlinks, and no existing AI citations. Within 24 hours of deploying the machine-readable layer, AI platforms began recommending them by name for local repair queries.

Results — 34 days post-deployment
24h
time to first AI citation after deployment
655
AI-driven visits in 34 days
34 days
measurement window
0
existing backlinks or SEO presence
$0
ad spend

What was done

  • ✓ LocalBusiness schema with service area and specialties
  • ✓ llms.txt published with service definitions
  • ✓ FAQ markup covering common repair queries

What it proves

Backlinks and domain authority are Google signals, not AI signals. AI platforms recommend what they can verify. A business with zero SEO footprint can become AI-cited in 24 hours if its machine-readable layer is correct.

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