# Proper Restaurant Case Study: 5 to 175 Calls in One Month

> Source: https://www.aisyndicate.com/case-studies/proper-restaurant-inlet-beach/
> Provider: AI Syndicate · Last updated: 2026-08-18
> Markdown version for LLMs and AI agents. Canonical HTML: https://www.aisyndicate.com/case-studies/proper-restaurant-inlet-beach/

Proper is an independently owned restaurant in Inlet Beach, Florida, on the 30A corridor — a market where diners decide where to eat from Google's map pack and AI answers before they ever see a storefront. In its first 30 days on AI Syndicate's Local software, tracked monthly calls went from 5 to 175.

**In short — what happened?** Proper (Inlet Beach, FL) went from 5 tracked calls to 175 tracked calls in its first 30 days on AI Syndicate's Local software — a **3,400% increase**. This is a client-reported result, measured against a defined baseline, and approved by Proper for named publication.

- **Restaurant** — Proper, Inlet Beach, Florida (30A).
- **Product** — AI Syndicate Local: map pack, Business Profile, and NAP fixes.
- **Window** — first 30 days of use, baseline to result.

## Key takeaways

- Baseline: 5 tracked calls in the month before Proper started using Local.
- Result: 175 tracked calls in Proper's first 30 days on the software — a 3,400% increase.
- Client-reported and approved — Proper agreed to be named in this case study.
- Same fix used for every Local client: Business Profile completion, map-pack tracking, and NAP conflict resolution.

## The result

**+3,400%** — increase in tracked monthly calls, Proper's first 30 days on AI Syndicate Local, from a baseline of 5 calls to 175. (Client-reported · approved · named)

Proper's starting call volume was low, which is exactly why the local-visibility gaps mattered: a market as tourist-driven as 30A runs almost entirely on "restaurants near me" searches and the map pack, and an incomplete or conflicting listing gets skipped in favor of a competitor's. Closing those gaps is what moved the number.

## Why Proper was invisible before Local

Inlet Beach sits inside one of the most competitive small-restaurant markets in the country — 30A draws heavy seasonal search volume, and local rankings are won or lost on Business Profile completeness and map-pack presence.

**The gaps:**
- Incomplete Google Business Profile — thin categories, missing hours and photos
- Name/address/phone conflicts across Proper's own site and listings
- No visibility into map-pack position for the searches diners actually type
- Citations missing or inconsistent across the directories buyers and AI engines check

**What Local fixed:**
- Completed and corrected the Business Profile against what buyers actually see
- Resolved NAP conflicts on Proper's own pages
- Tracked map-pack rank for real diner searches and flagged what was suppressing it
- Verified citations across the map and directory platforms that feed local and AI search

## Before and after

| Metric | Before (baseline) | After 30 days on Local |
| --- | --- | --- |
| Tracked monthly calls | 5 | 175 |
| Change | — | +3,400% |
| Measurement window | First 30 days of using AI Syndicate Local, baseline captured before onboarding | |

This is a single client-reported result for one restaurant, approved for publication. It is not an average outcome or a guarantee — a low starting baseline can produce a large percentage swing even when the underlying fix is the same one applied for every Local client. See the case-studies measurement framework (https://www.aisyndicate.com/case-studies/) for how results are baselined and labeled.

## How this was measured

We don't publish invented numbers — see the full policy on the case studies hub: https://www.aisyndicate.com/case-studies/

**What this is:**
- A defined baseline captured before onboarding
- A client-reported call count for a fixed 30-day window
- Named and published with Proper's approval
- Tied to a specific software product, Local, and the fixes it made

**What this is not:**
- An average or typical outcome across all clients
- A revenue or covers figure — this measures calls, not sales
- Independently audited by a third party
- A guarantee of similar results for any other business

## FAQ

### What result did Proper Restaurant report?
Proper, a restaurant in Inlet Beach, Florida, reported going from 5 tracked calls to 175 tracked calls in its first 30 days on AI Syndicate's Local software — a 3,400% increase. This is a client-reported result, approved by Proper for named publication.

### How was the increase measured?
Call volume was tracked over a defined 30-day baseline-to-result window tied to Proper's Google Business Profile and local search presence, the same call-tracking approach behind the map-pack and profile monitoring in AI Syndicate's Local product.

### What did AI Syndicate do for Proper Restaurant?
Proper used AI Syndicate's Local software to fix Google Business Profile gaps, resolve name/address/phone conflicts across its own site, and get tracked in the map pack for the searches its diners actually type — closing the gaps that were suppressing its local visibility.

### Is a 3,400% increase typical for restaurants using AI Syndicate?
No — this is a single client-reported result, not an average or a guarantee. Proper's starting baseline was unusually low (5 calls), which makes the percentage swing large even though the underlying fix — closing local-visibility gaps — is the same one AI Syndicate applies for every Local client. Results vary by market, competition, and starting point.

## Where to go next

- AI Syndicate Local: https://www.aisyndicate.com/local/
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