Sioux Falls Case Study: How a Local Business Tripled AI Citations in 60 Days
A Sioux Falls business came to us invisible to ChatGPT, Perplexity, and Google AI Overview. 60 days later, they're cited by all three. Here's what we actually did.
Sixty Days, Three Times the AI Citations — Here's What Actually Changed
A plumbing company on the West Side wasn't struggling. Jobs were coming in, trucks were moving, the phone rang enough. But when the owner started asking around about why his competitor on the 41st corridor kept showing up in ChatGPT and Google's AI Overviews — and he didn't — he got curious. Then he got serious.
He came to The Directory in January, right after the holiday slowdown, when Sioux Falls businesses either double down or coast until spring thaw. He wanted to know why he was invisible to AI and what it would actually cost to fix it.
Sixty days later, his AI citation rate had tripled. Not because he ran ads. Not because he rebuilt his website from scratch. Because he fixed the stuff AI models couldn't read in the first place.
The AEO Audit: What the Crawl Actually Found
Answer Engine Optimization starts with a blunt question: if an AI had to explain your business to someone, could it? Not based on vibes — based on structured, crawlable, unambiguous data.
The initial audit pulled his listings, website, and content through the Gravity Growth Heat Maps visibility index. The score wasn't catastrophic. It was mediocre, which is almost worse. Mediocre means AI models find you, consider you briefly, and move on to whoever answered the question better.
Specific problems the audit surfaced:
- No schema markup. His site had zero structured data. AI crawlers had to guess what he did, where he operated, and what made him different. They guessed poorly.
- Thin service pages. "Drain cleaning" was one paragraph. No context, no process, no mention of Sioux Falls neighborhoods he actually served — not the East Side, not Harrisburg, not Tea. Invisible to location-intent queries.
- No FAQ architecture. He answered the same five questions on every call. None of those answers existed on his site in a format AI could extract and cite.
- Inconsistent NAP data. His phone number appeared three different ways across directories. Small thing. Kills trust signals fast.
- No authority signals on seasonal relevance. Sioux Falls winters are legitimately brutal. Burst pipes, water heater failures, frozen lines — he handled all of it every February. No content connected his expertise to those moments.
"AI doesn't reward the best plumber. It rewards the plumber whose information is structured well enough to be quoted with confidence."
The Fix: Schema, FAQs, and Structure Done in the Right Order
This is where most businesses waste money — they jump to content production before the foundation is solid. Wrong order. Here's the sequence that worked:
- Clean up NAP consistency first. One business name, one phone number, one address format — everywhere. The Directory listing got updated. Every citation source followed. This took about a week of tedious work and zero budget.
- Add LocalBusiness schema with service area markup. The site got proper JSON-LD schema identifying the business type, primary services, geographic service area (Sioux Falls, Harrisburg, Tea, Brandon), hours, and contact info. AI models now had a clean data source to pull from instead of inferring.
- Build FAQ pages around real questions, not keyword lists. They pulled the actual questions customers asked during consultations and turned each one into a structured FAQ block with markup. "What causes pipes to freeze in South Dakota winters?" "How long does a water heater typically last?" "Do you serve the Harrisburg area?" These weren't SEO stunts — they were real answers, properly formatted.
- Expand thin service pages with process detail and local context. Each service page got a clear breakdown: what triggers the need, what the process looks like, what it typically costs in this market, and which Sioux Falls neighborhoods see the most demand for it. Specific beats generic every time.
- Create one strong seasonal authority piece. A detailed guide to winter pipe protection in Sioux Falls — what to do before the temperature drops, what breaks first, what an emergency call looks like and costs. Credible. Specific. Exactly what AI models pull from when someone asks about frozen pipes in South Dakota.
Total content added: roughly 4,000 words across six pages. No new site. No redesign. Just structure and substance applied where it was missing.
How the Heat Maps Score Moved
At the start of the audit, his Gravity Growth Heat Maps score sat in the low-visibility tier — showing up in AI-generated answers roughly 12% of the time when searchers asked questions directly in his service categories across the Sioux Falls metro.
At the 30-day mark, after schema and NAP cleanup, that number moved to 21%. Meaningful, not dramatic.
By day 60 — after the FAQ architecture and seasonal content went live — the citation rate hit 37%. That's the tripling. Not from thin air. From giving AI models better, more structured material to work with.
"The Heat Maps score doesn't lie. It shows you exactly where AI visibility drops off — by service type, by neighborhood, by season. Fix the gaps the index identifies and the citations follow."
Phone calls from AI-assisted searches — tracked through a dedicated call line — went from roughly four per month to fourteen in the same window. Real revenue signal, not a dashboard vanity metric.
What Mid-Size City Businesses Get Wrong About This
Sioux Falls isn't Chicago. The competition for AI citations in a metro this size is winnable — but most local businesses treat their digital presence like a billboard they set up once and ignore. That worked in 2015. It doesn't work when AI models are making the first recommendation before a user even clicks.
The businesses showing up consistently in AI answers for Sioux Falls searches share a pattern: their information is structured, current, specific to this market, and answers real questions. They're in The Directory with complete profiles. Their websites aren't chasing trends — they're just accurate and well-organized.
The businesses that are invisible have content that reads like a corporate brochure drafted by someone who has never been to South Dakota. Generic service lists. No neighborhood specificity. No seasonal awareness. No FAQ content. And usually, schema that either doesn't exist or was copy-pasted from a template and never verified.
The Bottom Line
A plumber on the West Side tripled his AI citation rate in sixty days without a new website, without an ad budget, and without hiring an agency. He fixed his schema, cleaned up his listings, built FAQ content around questions his customers actually ask, and wrote one solid piece of seasonal content that proved he knows what a Sioux Falls winter does to a house. Unglamorous work. Measurable results. That's what AEO looks like when it's done in the right order — and it's available to any local business willing to audit honestly and execute without cutting corners.
The best Sioux Falls businesses don't need to shout — they show up right when you're looking. That's the point of The Directory.