AI Visibility for Local Businesses

Your Customers Are Already Asking AI Where to Go

A homeowner needs an emergency plumber at 8 PM. They don’t open Google. They open ChatGPT and ask: “Best emergency plumber in Austin, doesn’t gouge on weekend rates?”

ChatGPT returns three businesses. Maybe four. That’s the new front page of search.

The question isn’t whether this is happening — it’s already happened. The question is whether your business is one of those three. For most local businesses right now, the answer is no. You can rank #1 on Google for “plumber Austin TX” and still be invisible in ChatGPT, because ChatGPT isn’t pulling from Google. It’s pulling from Foursquare, Bing, and a handful of structured signals most SMB owners have never heard of.

This course teaches the audit you should run this Saturday to fix that — without hiring an agency.

Why This Course Exists Now (April 2026)

ChatGPT processes around 2.5 billion queries per day globally — about 330 million from US users alone (OpenAI disclosure, July 2025). Perplexity is now in the tens of millions of weekly queries. Google’s AI Overviews appeared in roughly 48% of searches in early 2026, up from 34.5% just four months prior (Indexly, April 2026).

For categories like “best plumber near me” or “good family dentist in [city],” the customer journey is shifting from “ten blue links” to “three recommendations from a chat.” Most local businesses haven’t noticed yet — and the agencies offering “AEO services” are charging $1,500–$8,000 per month for work that, in most cases, an SMB owner could do themselves in a Saturday morning if someone gave them the playbook.

This is that playbook.

What You’ll Actually Build

Across 8 lessons, you’ll:

• Mirror-test your business in ChatGPT, Perplexity, and Gemini — and see exactly what they say
• Audit Foursquare — the data source nobody told you matters but powers ~70%+ of ChatGPT’s local results
• Optimize Google Business Profile and Bing Places — the twin pillars for AI Overviews and ChatGPT-via-Bing
• Add LocalBusiness JSON-LD schema to your website using a copy-paste template
• Write one comparison guide for your local market that earns citations across all three AI engines
• Set up review requests, Reddit presence, and authority signals that LLMs actually weight
• Build a measurement dashboard so you can tell what’s working without agency reports

The whole audit is designed to be runnable on a single Saturday morning — about 3 hours of focused work, $0 baseline cost, with optional $40–$200 PR distribution.

What This Course Is Not

• It’s not a developer course. Every code snippet is copy-paste. If you can change a heading on your website, you can ship the schema markup.
• It’s not a guarantee. AEO is moving fast. The Foursquare integration, Reddit citation rates, and AI Overview share will all shift. The course teaches you the audit and how to re-run it as the platforms change.
• It’s not a substitute for measurement. We’ll set up tracking — but the only way to know if AEO is working for your business is to tag your own funnel. There’s no industry benchmark that beats your own data.

Honest Notes on the Data

Where rigorous studies exist, this course cites them: OpenAI’s query disclosures, Yext’s 6.8M-citation analysis (Search Engine Land, October 2025), Profound/SaaS Intelligence on Reddit’s citation share, Foursquare’s own announcement of the Reprompt LLM agent, and the Sagapixel/ALM Corp behavioral study on how people actually phrase local AI queries.

Where the data is thin or vendor-self-reported, the course says so directly. Several “headline stats” that circulate on AEO marketing blogs (Webflow’s 24% conversion claim, the Joe Youngblood “41% authoritative list mentions,” the unsourced “0.334 brand search correlation”) could not be traced to original sources. Where we cite vendor data — Stackmatix, AEOfix, Optimist’s case studies — we say “vendor X reports” so you can weigh it appropriately.

The honest message: nobody has perfect numbers yet. You and your competitors are running the same experiment in real time. The owners who learn the playbook now and measure their own funnel will have a year-long lead.

Who This Course Is For

This is a beginner-level course for non-technical SMB owners and small marketing teams. If you can manage your Google Business Profile, you can finish this course. We assume zero schema knowledge, zero LLM background, and that your goal is to spend less than $200 and one Saturday morning to fix the foundation.

If you’re a developer or SEO professional looking for the deepest technical AEO content, this isn’t it — but the comparison-guide and authority-signal lessons will still give you a framework you can systematize across multi-location clients.

What Comes Next

After this course, your foundation is solid. The natural next steps are SEO Mastery (to round out the Google side), AI for Small Business (broader AI workflows), and AI Marketing Strategy (multi-channel growth). For agency owners or multi-location operators, the research handoff in this course points toward a future “AI Search at Scale” track covering programmatic AEO, multi-LLM monitoring, and entity-graph engineering — too advanced for a Saturday-morning audit, but worth knowing it exists.

For now: open ChatGPT in a new tab, ask it for the best [your trade] in [your city], and start Lesson 1. Your real Saturday-morning audit begins there.