Data-backed search recovery and pipeline results. Here is exactly what GOBIYA built, why it was built, and what moved as a result — query by query, position by position.
Documentation standard
Periods, queries, and positions cited
Verticals on file
Dental · Live Scan · Legal · Finance
Vanity metrics
None — conversions and revenue only
Filing principle
If it can't be shown on a chart, it doesn't go in the file.
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Form completions and phone calls each grew fivefold — same visitors, far better conversion.
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Total search impressions nearly tripled, from 75.3K to 213K, across all markets.
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Online appointments and phone calls each tripled after the legacy migration.
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Physical walk-in traffic grew 30% on the back of map-pack and "near me" visibility.
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Form completions0×
Phone calls2.8×
Search impressions+0%
Organic clicksSmileCenter runs dental offices across multiple markets. Its previous website was a single, slow, generic site that funneled every visitor into the same place — no clear path to the nearest office, no friction-free way to book or call.
The site was rebuilt on a custom React/Vite foundation, with every office given its own dedicated, individually optimized page — local schema markup, consistent NAP data, and location-specific content. Prominent click-to-call on mobile, simplified booking forms, and location-aware CTAs route each visitor to their nearest office in the fewest possible steps, with Yelp and Google Business signals reinforcing each location in map and general search.
Form completions and inbound phone calls each grew 5× — not from a flood of new traffic, but from the same visitors converting far more effectively. Total impressions nearly tripled from 75.3K to 213K, and SmileCenter now holds top-5 positions for branded searches across all its markets.
| Search query | Position |
|---|---|
| "smile center dentist" | #2 |
| "smile center dental care" | Top 5 |
| "smile center family dentistry" | Top 5 |
| "smile center locations" | Top 5 |
| "smile center booking" | Top 5 |
0×
Online bookings0×
Phone calls+0%
Walk-in traffic+0%
Organic clicksAmerican Livescan serves walk-in customers, online bookings, and mobile appointments — but was running on an aging site of legacy .htm/.html pages. Slow, hard to update, and architecturally incapable of competing for the "near me" searches that drive a local, walk-in service.
The legacy site was replaced with a modern, clean-URL architecture — migrated carefully so every page's search equity transferred instead of being lost. Dedicated pages were built for each service line (Live Scan fingerprinting, mobile fingerprinting, passport photos, background checks), the Google Business Profile was optimized for map-pack visibility, and a content engine launched against high-intent queries: SB 731 record-sealing, cannabis screening law, REAL ID, passport-photo rejections.
Walk-ins grew 30%; online appointments and phone calls each tripled. The passport-photos page went from position 55.8 to page one — from 1 click to 79 — opening a service line that wasn't competing before. "Walk in live scan near me" went from no visibility to page one, and brand searches now hold #1–2 with a 15%+ click-through rate.
| Query | Before | After |
|---|---|---|
| "walk in live scan near me" | No visibility | Page 1 (~pos 7) |
| "livescan near me" | 3 clicks | 16 clicks (+3× CTR) |
| "passport photos" | Pos 55.8 | Pos 10 (Page 1) |
| Brand searches | — | #1–2 · 15%+ CTR |
One audit. Your current numbers, the gaps GOBIYA sees, and the engagement that would close them — documented the same way these files were: periods, queries, positions, conversions.