How Local SEO increased 80% More call for The Churchill Center Arcadia

Client Overview

The Churchill Center, led by Dana Churchill, is a multi-location healthcare provider with clinics in Arcadia and Fullerton. Like many healthcare practices, they rely heavily on phone calls to convert interest into booked appointments.

Their goal was simple. Get more calls. Get more patient enquiries. Do it for both locations.

The Problem

Despite offering quality care, the clinics were not seeing growth in inbound calls. Call volumes had flatlined. Fewer calls meant fewer appointments and lost revenue opportunities.

Potential patients were searching locally. Yet they were not choosing The Churchill Center.

The key challenges were clear:

  • Low visibility in local search results

  • Underperforming Google Business Profiles

  • Missed mobile users who wanted to call instantly

  • No strong local targeting for each clinic

In short, demand existed. The clinics were just not capturing it.

Our Strategy

We implemented a focused local SEO and Google Business Profile strategy designed to remove friction for patients and make calling effortless.

1. Google Business Profile Optimisation

We fully optimised the Arcadia and Fullerton profiles with:

  • Accurate contact details and opening hours

  • Clear service descriptions written for real patients

  • Location-focused keywords to improve local relevance

  • Regular posts to signal activity and trust

This helped the clinics appear more often in high-intent local searches.

2. Local SEO for Each Location

We optimised the website and listings separately for Arcadia and Fullerton. Each location targeted its own search terms.

This ensured patients searching nearby saw the most relevant clinic.

3. Mobile-First Improvements

Most patients search on their phones. We made it easy for them to act.

Click-to-call features were improved so users could call directly from search results with no extra steps.

4. Targeted Social Media Campaigns

We built audience personas and launched location-based campaigns. Messaging changed based on timing, events, and local needs.

This increased awareness and supported call growth from search.

The Results

The impact was fast and measurable.

  • Fullerton clinic
    38 inbound calls in one month.
    An 80% increase compared to the previous month.

the churchill center gbp report

  • Arcadia clinic
    10 inbound calls.
    A 42% month-on-month increase.

More visibility. More trust. More calls.

Key Learnings

  • Local focus drives real leads
    Optimising each Google Business Profile separately made a clear difference.

  • High-intent traffic matters most
    Patients ready to book prefer calling. Making this easy boosted conversions.

  • Mobile experience is critical
    Small improvements in mobile usability led to more direct calls.

Conclusion

By combining local SEO, Google Business Profile optimisation, and targeted social campaigns, we turned stagnant visibility into consistent patient enquiries.

The Churchill Center saw strong growth in calls across both locations. Fullerton increased by 80%. Arcadia by 42%.

This case study shows what happens when local healthcare marketing is built around how patients actually search, choose, and act.

Ready to Turn Local Searches Into Real Patient Calls?

Your competitors are already showing up. Your future patients are already searching.

Hire us to build a local SEO strategy that drives calls, trust, and bookings. Claim your edge today!

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Methodology

How we measure AI visibility

What every number in Beaconly means, how it’s calculated, and where its limits are.

Which AI we ask

  • Gemini, through Google’s official Gemini API. Right now Gemini answers from its own knowledge, without live web search, so answers don’t list sources.

  • Every question is asked as a fresh conversation, with no memory or personal history, set to the market (country) you chose.

What we ask

The questions a buyer would ask when looking for what you sell — like “best CRM for a small agency”. We write starter questions from your website; you can edit, delete or add your own. Questions don’t include your brand name, so we measure whether AI brings you up on its own.

Mentioned

Your brand counts as mentioned when its name, one of its other names you added, or its website address appears in the answer as a whole word. The same rule applies to every competitor, so the comparison is fair.

Position

The order in which tracked brands are first named in the answer: 1 means you were named before any tracked competitor. We show how often you’re named first, 2nd–3rd, later, or not at all.

Recommended

Mentioned and described positively. A separate AI step reads each answer and rates how it talks about each brand: positive, neutral or negative.

Visibility and small samples

Visibility is the share of answers that mention you. With fewer than 20 answers a percentage can mislead (1 answer changes it by 20 points), so we show the count instead — for example “3 of 5”.

Perception scores

We ask the AI to compare you with your competitors on the traits you choose, then score what the answer says about each brand from 1 to 10, using only the answer — not our own opinion. “What AI says about you” groups the reasons AI recommends you, its criticisms, and who it prefers instead, counted across your latest tracked answers.

Brand facts check

We ask the AI about your brand directly and compare each factual claim with the facts you gave us. Claims your facts don’t cover are marked “not covered”, never “wrong”.

AI traffic

The snippet on your site counts visits whose referrer is an AI assistant (ChatGPT, Perplexity, Gemini, Copilot, Claude and others), or that carry ChatGPT’s utm_source tag. Some apps hide the referrer, so the real number is usually higher. No cookies are used and no IP addresses are kept.

Page watch

We re-read the pages you watch once a day and look for your brand name, other names, or website address in the page text. Some sites block automated visits; we tell you when we can’t read a page.

Answers vary

AI assistants give different answers to the same question, and API answers can differ from what a signed-in person sees in the app (memory, location, model updates). That’s why we track over time and link every question so you can ask it yourself.

Spotted something wrong?

Email [email protected] with the page or brand, and we’ll look into it.