A growing share of customers now ask AI tools like ChatGPT, Google Gemini, and Claude the same questions they used to type into a search bar — and increasingly, questions they used to ask a friend. "Who should I call for X near me?" "Which of these companies actually has good reviews?" "Is this business legitimate?" If an AI system doesn't have enough evidence to understand and trust your business, it simply won't mention you — and you'll likely never know the conversation happened.
"What's a reliable HVAC company near me that services older homes?"
"Find me an accounting firm that specializes in small manufacturers."
"Which home care agencies in this area actually have good reputations?"
"Who does IT support for small businesses in North Texas?"
It used to be simple: type your business into an AI tool and see what came back. That test is becoming less reliable. Depending on the platform and its settings, an owner's own AI account may carry context, history, personalization, or memory about the business — which means asking an AI account that already knows you and your business for a recommendation may not represent what an unfamiliar prospective customer actually sees.
Business owners may no longer be able to accurately test their own AI visibility simply by asking an AI system whether it recommends them.
There isn't one universal AI database or one algorithm to game. There's no single directory, piece of code, schema change, keyword trick, website edit, or "optimization" that makes a business visible everywhere. Anyone who tells you otherwise is overselling.
The durable strategy is to make the business genuinely easy to understand, keep the facts accurate and consistent, build real authority and reputation, earn legitimate customer feedback, publish useful information, strengthen credible outside evidence, and then measure what different systems actually surface. You have to do the work.
Clear and consistent business identity across the places AI systems look
Website evidence about your services, expertise, geography, and the questions customers actually ask
Legitimate reputation and customer feedback
Useful authority-building content
Relevant external sources that corroborate what the business is and does
Multi-platform AI visibility measurement, lead-source attribution, and monthly reporting and adjustment
When we say "AI systems," we mean that ChatGPT, Google Gemini, and Claude are separate systems. They use different sources and methods — often multiple sources — to understand businesses and construct answers. What gets one system to understand your business may not be what another relies on.
Getting one AI system to understand or surface your business does not mean all of them do.
No one can guarantee that an AI system will recommend your business. What we can do is improve the quality, clarity, consistency, and authority of the signals those systems have available to understand it — and measure what major systems actually surface.
You're an established local or service-area business with real customers
Reputation and discoverability meaningfully affect how you win business
Your prospects research before they buy
You have a defined geographic market or service area
You're looking for immediate, paid-lead generation
You want this to replace your broader marketing strategy
You expect a guaranteed AI-ranking outcome
Not in the traditional sense. Search-engine optimization (SEO) is built around ranking in search-engine results pages. Local AI Visibility is focused on a different outcome: making sure AI systems have enough clear, consistent, credible evidence to understand and consider your business when someone asks for a recommendation. There's overlap in some of the underlying work, but the goal and the measurement are different.
Answer Engine Optimization (AEO), Generative Engine Optimization (GEO), "AI SEO," and similar labels describe parts of an evolving field. Local AI Visibility more clearly describes the actual business outcome we're pursuing — being understood and credibly considered by AI systems, not a specific technical tactic.
No one can guarantee that, and any offer that promises it should raise questions. What we can do is improve the clarity, consistency, and authority of the evidence available about your business, and measure what major AI systems actually surface over time.
Depending on the platform and its settings, your own AI account may carry context, history, personalization, or memory about your business. That means your own search may not reflect what an unfamiliar prospective customer actually sees. Independent, repeatable tracking across queries and systems gives a more reliable picture.
We track multiple signals together: what major AI systems surface for relevant customer questions, identifiable LLM referral traffic, lead-source attribution, reputation and visibility signals, and actual prospects who report discovering you through AI. Reporting and adjustment happen monthly.
Yes. A defined service area is fully eligible — you don't need a physical storefront. Pricing and scope are defined by physical location or defined service area, as appropriate to your business.
The six-month engagement is built to establish durable evidence, reputation, and measurement — not a short-term spike. After that period, we review what's working and discuss whether continued work, maintenance, or a different focus makes the most sense for your business.
Total six-month investment: $12,000 per location or service area.
If your business operates in multiple locations or markets, each typically requires separate work, since business information, competition, reputation, and visibility evidence can differ by geography.
Describe your business and service area. I'll personally review it and let you know whether Local AI Visibility looks like a fit.