Atlanta Health: 3.2x ROAS in Q1 2026

Measuring content performance in GEO and AEO requires a granular approach, focusing on how localized strategies and answer engine visibility translate into tangible business outcomes. It’s not enough to track general traffic. We need to understand the precise impact of content designed for specific geographic audiences and direct query answers. This analysis will break down a recent campaign for a regional health system, illustrating how we measured success and what lessons emerged from the data.

Campaign Teardown: Atlanta Health System’s Local Patient Acquisition

We recently executed a three-month digital marketing campaign for “Northside Health Partners,” a fictional but representative regional health system in the Atlanta metropolitan area, spanning Q1 2026. The primary goal was to increase new patient appointments for their urgent care and primary care services across their facilities in specific Atlanta ZIP codes: 30305 (Buckhead), 30308 (Midtown), and 30329 (Chamblee/Brookhaven). Our budget for this campaign was $75,000.

Strategy and Creative Approach

Our strategy centered on a two-pronged attack: strong geographic SEO (GEO) and targeted answer engine optimization (AEO). For GEO, we developed dedicated, hyper-local content pages for each service line within each targeted facility. This meant creating unique landing pages for “Urgent Care Buckhead,” “Primary Care Midtown,” and so on. Each page included specific details about the facility, local landmarks nearby (e.g., “just off Peachtree Road near Lenox Square”), and testimonials from local residents. We also optimized their Google Business Profile listings extensively, ensuring consistent NAP (Name, Address, Phone) information, uploading high-quality interior and exterior photos, and actively responding to reviews. The AEO component focused on identifying common questions prospective patients might ask about local healthcare services. We conducted extensive keyword research, looking for queries like “nearest walk-in clinic Atlanta,” “doctor accepting new patients Midtown,” or “flu shot Chamblee.” We then created FAQ sections on relevant service pages and developed blog content directly addressing these questions, integrating schema markup (specifically `LocalBusiness` and `FAQPage` schema) to enhance visibility in rich snippets and featured snippets on Google Search and other answer engines. For instance, a blog post titled “What to Expect at Northside Health Partners Urgent Care in Buckhead” directly answered several common pre-visit questions, from wait times to accepted insurance. Creatively, our ad copy and visual assets emphasized community connection. We used imagery of diverse Atlanta residents engaging in healthy activities, alongside clear calls to action like “Book Your Appointment Today in Buckhead.” Ad copy highlighted convenience, local accessibility, and the specific expertise of the staff at each location. We ran Google Search Ads, using location targeting and radius bidding, alongside localized display ads on relevant news and community sites.

Targeting and Ad Spend Allocation

Our targeting was precise. For paid search, we focused on keywords with high local intent, such as “urgent care [ZIP code]” and “primary care doctor [neighborhood name].” We used Google Ads’ geographic targeting to only show ads within a 5-mile radius of each clinic location in the specified ZIP codes. Demographically, we targeted adults aged 25-65, with an emphasis on those searching for health-related services. The $75,000 budget was allocated as follows:

• Paid Search (Google Ads): $45,000 (60%)
• Local SEO (Content creation, Google Business Profile optimization, schema implementation): $30,000 (40%)

This allocation reflected our belief that immediate lead generation through paid channels needed to be supported by a strong organic foundation, which would continue to yield results long after the campaign concluded.

Campaign Performance Metrics and Results

Over the three-month period, the campaign yielded significant results, particularly in driving new patient appointments.

The cost per conversion (CPL) of $41.67 for a new patient appointment was well within Northside Health Partners’ acceptable range, considering the lifetime value of a patient. Our ROAS of 3.2x for paid search indicated that for every dollar spent, we generated $3.20 in revenue directly attributable to ad spend. This figure was derived from tracking booked appointments and their associated average initial visit revenue. A significant insight emerged from the organic performance: the hyper-local content pages and optimized Google Business Profiles drove 60% of qualified leads (800 organic conversions out of 1,800 total). This validates the investment in detailed, geographically specific content. The AEO efforts, particularly the structured data implementation for FAQs, led to a 35% increase in visibility for relevant long-tail queries like “urgent care near Piedmont Park” as measured by Google Search Console’s rich result reporting. This visibility translated into a higher volume of informational searches converting directly on our FAQ pages or related service pages.

What Worked Well

The granular targeting and content specificity were undoubtedly the campaign’s strongest assets. Creating unique pages for “Urgent Care Buckhead” versus “Urgent Care Midtown” allowed us to rank higher and more frequently for highly localized searches. The use of local landmarks and community references in ad copy resonated strongly with the target audience, driving a 1.8 percentage point increase in CTR across all ad groups compared to more generic messaging. Our proactive management of Google Business Profiles, including daily monitoring of Q&A sections and responding to all reviews within 24 hours, significantly boosted local pack rankings. According to a recent BrightLocal study, businesses that respond to at least 25% of their reviews see a 35% increase in local search visibility. While we exceeded this, our internal data showed a direct correlation between review response rates and higher placement in the “map pack” for relevant queries. The structured data implementation for AEO was also a clear win. By marking up our FAQ content, we consistently appeared in “People Also Ask” sections and as featured snippets, capturing search intent directly at the answer engine level. This reduced the user journey, often leading to direct conversions from the SERP itself.

What Didn’t Work as Expected

Our initial display ad strategy, which used broader demographic targeting across the Atlanta metro area, underperformed. The CTR for display ads was only 0.15%, and the conversion rate was negligible (less than 0.1%). This highlighted the fact that for a service like healthcare, users are often in a higher intent state, making search a more effective channel. We quickly reallocated 10% of the display budget to reinforce our paid search efforts in the second month. Another challenge was managing the volume of user-generated content on Google Business Profiles. While active engagement was beneficial, some facilities received more negative reviews than others, which required careful and diplomatic responses. It’s a constant battle, and one where the health system’s internal customer service processes also play a part.

Optimization Steps Taken

Mid-campaign, we made several critical adjustments. As mentioned, the underperforming display ad budget was reallocated. We also initiated A/B testing on our paid search landing pages. Initially, all traffic for a given service line went to a single, slightly more general page. We then created specific landing page variants for each neighborhood, incorporating even more localized imagery and copy. For example, the “Buckhead Urgent Care” landing page featured a photo of the clinic’s exterior and mentioned its proximity to the Buckhead Village District. This optimization led to a 15% increase in conversion rates for paid search traffic in the final month. We also expanded our keyword list for AEO. Initially, we focused on direct service-related questions. However, after analyzing search console data, we identified a cluster of queries related to specific conditions (e.g., “strep throat treatment Buckhead,” “sprained ankle Chamblee”). We then developed new, short-form content and FAQ entries to address these, further boosting our visibility for highly specific, problem-oriented searches. This iterative content creation based on real-time search data is, in my opinion, essential for sustained AEO success. Finally, we implemented enhanced call tracking for all phone numbers listed on Google Business Profiles and our website. This allowed us to more accurately attribute phone call conversions to specific marketing channels and even specific content pieces, providing a more complete picture of our content analytics.

Conclusion

Effective measurement of content performance in GEO and AEO demands a careful approach to data, linking granular content strategies to clear business outcomes. By focusing on hyper-local content, structured data, and continuous optimization, businesses can achieve measurable growth and a strong return on investment in today’s complex search environment.