Client Case Study · Local Software

Proper went from 5 calls to 175 calls in its first month.

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.

RestaurantProper — Inlet Beach, Florida (30A).
ProductAI Syndicate Local — map pack, Business Profile, and NAP fixes.
WindowFirst 30 days of use, baseline to result.
The Result

From 5 calls to 175 in 30 days.

The headline number, and what it's measuring.

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

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.

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Starting Point

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
The Numbers

Before and after, in one table.

The metric behind the headline figure, with the baseline and the window it was measured over.

MetricBefore (baseline)After 30 days on Local
Tracked monthly calls5175
Change+3,400%
Measurement windowFirst 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 our measurement framework for how we baseline and label results.

How This Was Measured

The same standard as every case study on this site.

We don't publish invented numbers — see the full policy on our case studies hub.

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

Questions about this case study.

What the number means, how it was measured, and what to expect.

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

Keep exploring.

See the software behind this result, review how we measure outcomes, or start your own audit.

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