AI Research Division · Case Study
Case Study: 92pp AI Visibility Lift in 90 Days
How a single-location Houston practice moved from 7% to 99% cross-model mention rate by deploying the Entity Completion Engine + Retrieval Surface Engineering modules.
By Shayne Beavan
Founder, Deep AI Solutions · Inventor of record, 5 USPTO filings
6 min
Starting position
Bayou City Dental, a single-location practice inside the Loop, started with a 7% mention rate across the five frontier models. Of those mentions, 80% were unranked (no list position) and 65% had zero citation.
What we did
- Entity Completion Engine deployed in week 1. Organization + FAQPage JSON-LD published.
- Retrieval Surface Engineering: knowledge pack, transcript HTML, structured blog markdown, all published at canonical URLs in weeks 2–4.
- NAP reconciliation across 14 directories completed by end of week 6.
- Citation campaign — one comparison article, one press release, three vertical-directory authority listings — completed by week 8.
90-day result
| Metric | Day 0 | Day 90 |
|---|---|---|
| Mention rate | 7% | 99% |
| Average rank | None | 1.8 |
| Citation density | 35% | 88% |
| Entity completion | 22 | 94 |
| Hallucination rate | 9% | 0.4% |
Why this worked
The practice was not under-marketed. It was under-structured. Every change targeted machine readability rather than human-facing copy. The lift compounds because each asset reinforces the entity in the retrieval index of every frontier model.