Local Service Ads: 45% Lead Boost in AI 2026

AI in search has completely changed how local businesses get in front of customers. The combination of Local Service Ads (LSAs) and Google’s AI Overviews creates a tricky new field for getting seen in 2026, but it’s also a huge opportunity. This teardown breaks down a recent campaign where we tried to squeeze every drop of local SEO juice out of a smart LSA strategy, fully aware of how generative AI was changing the search results page.

Campaign Overview: “Midtown Plumbing Pros” LSA & AI Overview Strategy

Our client was “Midtown Plumbing Pros,” a really solid plumbing service working in Atlanta’s Midtown, Ansley Park, and Virginia-Highland areas. They wanted more emergency service calls. While their organic local presence was good, they knew they were losing out on the “I need a plumber NOW” customers who just click the first thing they see and don’t scroll down. The goal was simple: get more direct calls and bookings from paid local ads, especially within this new search environment that includes AI Overviews.

We ran the campaign for 90 days, from January 1 to March 31, 2026, on a tight $7,500 budget. We were watching three things: the number of good leads, the cost per lead (CPL), and the return on ad spend (ROAS). Our bet was that by actively managing the LSA campaign and paying close attention to how AI Overviews were summarizing local info, we’d beat a standard, hands-off LSA approach.

Initial Strategy and Setup

Our game plan was built on a few basics. First, we made sure the client’s Google Business Profile was spotless, correct service areas, current hours, and a ton of recent, good reviews. You can’t skip this. A clean GBP is everything for LSA performance and is a huge part of what AI Overviews use to piece together their summaries of local businesses. Second, we set up the Local Service Ads to specifically target emergency plumbing, water heater repair, and drain cleaning. We kept the service radius locked to a 5-mile circle around their Midtown shop, hitting dense areas like the Peachtree Street and Piedmont Avenue corridors.

The ads themselves were straight to the point. We hammered on their 24/7 availability, being licensed and insured, and their “no hidden fees” promise. We used high-quality photos of their actual techs and branded vans. For the ad copy, we used problem-solution language, like “Fast, Reliable Emergency Plumbing in Midtown” and “Expert Water Heater Repair, Same-Day Service Available.” And of course, we put their local Atlanta phone number front and center.

Targeting and Bid Management

LSAs make targeting easy since it’s all based on geography and service type, but you have to stay on top of the bidding. We started with a modest max bid per lead of about $25 and let Google’s “maximize leads” strategy do its thing. We watched every lead that came in, sorting them by the service and where they were located. That data let us get surgical with our bids. For example, we found we could bid higher for “emergency burst pipe repair” because those jobs were worth a lot more. On the flip side, we nudged the bids down for “toilet installation” leads since the immediate payout was lower.

A huge part of our targeting work was just watching the AI Overviews. When someone searched for “emergency plumber Midtown Atlanta,” we saw the AI Overviews would often scrape info right from LSA profiles, especially for businesses with lots of good reviews and detailed service lists. This just confirmed our focus on getting more reviews and filling out the profile completely. It makes sense, a Statista report from late 2025 showed that reviews and proximity were still top local ranking factors, even with all the new AI stuff.

Performance Analysis: What Worked and What Didn’t

So, after 90 days, Midtown Plumbing Pros got 165 qualified leads from their LSAs. We spent $7,385 which put the Cost Per Lead (CPL) at $44.76. That was a little more than our $40 target, but the lead quality was incredible. The client told us they booked a job from 35% of those leads, which meant 58 new jobs. With their average job ringing up at $450, the campaign brought in about $26,100 in revenue. The final Return On Ad Spend (ROAS) was 3.53:1.

The Impact of AI Overviews

The really interesting stuff happened when we dug into searches that triggered AI Overviews. For queries like “best plumber near me for water heater” or “24 hour plumber Atlanta,” the AI would often spit out a summary of 2-3 local options. It was clearly pulling details from their LSA profiles, like star ratings, review counts, and service blurbs. We quickly saw that if our client had recent 5-star reviews and had their services listed clearly in their LSA profile, they had a much better shot at being featured. This was a huge leg up for us. When our client showed up inside an AI Overview, we saw a 22% jump in direct calls compared to when they were just in the normal LSA pack below it.

But it wasn’t all good news. AI Overviews could also be a pain. Sometimes, the AI would mash up information from competitor sites or junk directories, creating inaccuracies. For instance, a search for “drain cleaning specialist Ansley Park” sometimes showed an AI Overview that featured a competitor known for basic snaking, even though our client had more advanced hydro-jetting equipment. This just proved we had to constantly watch what the AI was saying and tweak our LSA messaging to correct the record.

Creative and Targeting Adjustments

Mid-campaign, we noticed that “drain cleaning” calls weren’t converting as well as “emergency plumbing” ones. We looked at the LSA profile and the AI snippets and realized our description was just too generic. So we changed it to mention specific tech, like “Advanced Hydro-Jetting for Stubborn Clogs,” and added a clear call-to-action: “Schedule Your Drain Camera Inspection Today!” That small change pushed the conversion rate for drain cleaning leads up by 8% the next month.

We also played around with bidding based on the time of day. It’s no surprise that emergency calls went through the roof between 6 PM and 10 PM. By bumping our bids a little during those hours, we made sure we were visible when people were most desperate. This time-based bidding strategy gave us 15% more leads during those critical evening hours, and it didn’t even raise our overall CPL.

Optimization Steps and Future Outlook

Our constant tinkering with the LSAs and watching the AI Overviews led to a few key changes. First, we got much more aggressive about getting reviews. We pushed them to ask every happy customer to leave one on their Google Business Profile. This ensured a steady flow of fresh, relevant text that the AI Overviews could find and use. A simple follow-up text with a direct link to the review page got an impressive 30% response rate.

Second, we cleaned up our negative keyword list for LSA. Even though LSAs don’t use keywords like normal Google Ads, we were still getting matched to some junk searches. Things like “DIY plumbing tips” or “plumbing supply store” were popping up. By reviewing the search terms report and flagging the irrelevant ones, we think we cut wasted spend by about 5%.

Third, we started adding video testimonials to the client’s Google Business Profile. These don’t show up in the LSA itself, but we’re betting they add to the overall authority and trust that AI Overviews are trying to measure. A HubSpot report on marketing trends from 2025 pointed out that video makes consumers trust brands more, and that’s exactly the kind of signal generative AI is looking for.

This campaign showed us that for local service businesses, Local Service Ads are much more than just another ad channel. They’re a core piece of any good local SEO strategy, especially now that AI Overviews are everywhere. Because LSA data feeds directly into what the AI shows people, managing these profiles with obsessive, continuous optimization is mandatory. It’s essential. Now, we’re planning to roll out this same strategy for their other services and into new Atlanta neighborhoods like Buckhead and Brookhaven.

The way user searches, LSA data, and AI-generated summaries all interact is only going to get more complicated. Businesses that stay on their toes and adjust their local marketing to fit these new search behaviors are the ones that will win. It’s about being the most relevant and trustworthy answer the AI can find. This requires a solid grasp of search intent AI.

Conclusion

To make Local Service Ads and AI Overviews work for you, you need to pay constant attention to the details, be aggressive about getting reviews, and never stop tweaking your profile content. You have to treat your LSA profiles like they’re alive, always updating them to match what people are searching for and how the AI is interpreting it, so you can be the clear authority in your local market.