You have a Google ranking. You have a Yelp rating. You probably know your review count by heart. But do you know your AI visibility score?
This is the number that determines whether ChatGPT, Claude, Perplexity, or Gemini recommends your business when someone asks "who is the best [your service] near me." And for most local businesses, that number is zero.
Not low. Zero. As in, the AI does not mention you at all.
What an AI Visibility Score Actually Measures
An AI visibility score answers one question: when a potential customer asks an AI model for a business like yours, do you show up?
PACO GEO calculates this by sending real queries to all four major AI models. Not hypothetical queries. The actual questions your customers are typing. Things like "best plumber in Denver" or "dentist near me accepting new patients" or "affordable HVAC repair in Phoenix."
For each query, the system checks whether your business appears in the AI's response. It checks whether the information is accurate. And it checks whether you are recommended positively or just mentioned in passing.
The result is a score from 0 to 100. Here is what the ranges mean:
| Score | Grade | What It Means |
|---|---|---|
| 0-10 | F | AI models do not know you exist. No recommendations, no mentions. |
| 11-30 | D | Occasional mentions on one model. Usually with inaccurate information. |
| 31-50 | C | Some visibility on 1-2 models. Basic facts mostly correct. |
| 51-70 | B | Recommended by 2-3 models. Good data consistency. |
| 71-100 | A | Consistently recommended across all models with accurate information. |
Most local businesses we scan score between 0 and 20. That is not because they are bad businesses. It is because they have never optimized for AI citation. They are invisible to an entire search channel that is growing faster than any channel in the history of local marketing.
How AI Models Decide Who to Recommend
AI models do not have a secret committee that picks favorites. They have data, and they have patterns. Understanding what data they rely on is the entire game.
Directory presence and consistency
AI models cross-reference information from dozens of sources. Google Business Profile, Yelp, Bing Places, Apple Maps, industry directories, the Better Business Bureau. If your business shows up consistently across many sources with the same name, address, and phone number, the AI treats you as a verified, real business. If your information is inconsistent or missing from major directories, the AI is less confident about recommending you.
Structured data markup
Schema.org markup on your website is like handing the AI a cheat sheet about your business. It declares your business type, services, hours, location, and ratings in a format machines can parse instantly. Without it, the AI has to guess what your website is about by reading your copy. With it, the AI knows exactly who you are.
Review volume and quality
AI models use reviews as evidence. A business with 200 recent reviews mentioning specific services is much more likely to be recommended than one with 15 reviews from three years ago. The models also read the text of reviews, not just the star rating. Detailed reviews that mention specific services, staff names, and outcomes give the AI more confidence.
FAQ and Q&A content
This is the most underrated factor. When a customer asks ChatGPT "how much does a root canal cost in Austin," the AI looks for pages that answer that exact question in a structured format. If your website has an FAQ page with that question and answer marked up with FAQPage schema, you become the source the AI quotes. Most businesses do not have this, which is why the opportunity is so large.
Entity clarity
AI models need to understand exactly what your business is and is not. A website that says "we provide solutions for your home" is vague. A website with Schema markup declaring @type: Plumber with specific services like "water heater installation" and "drain cleaning" is crystal clear. The clearer you are, the more confidently the AI recommends you for specific queries.
The compounding advantage: AI models develop preferences over time. Once a model has cited your business successfully (meaning users found the recommendation helpful), it becomes more likely to cite you again. Early movers in each market and category build an AI citation advantage that gets harder for competitors to overcome.
Why Your Google Ranking Does Not Equal AI Visibility
This catches a lot of business owners off guard. You can rank number one on Google for your primary keyword and still score zero on AI visibility. They are completely different systems.
Google rankings are based on backlinks, page authority, click-through rates, and on-page SEO. AI recommendations are based on structured data, directory consistency, entity clarity, and FAQ content. There is some overlap, but the correlation is weak.
We have seen businesses that rank on page three of Google get recommended by ChatGPT because they had excellent structured data. And we have seen businesses that rank first on Google get completely ignored by every AI model because their website had zero Schema markup.
The takeaway is simple: Google visibility and AI visibility are separate problems that require separate solutions. Doing well on one does not guarantee you are doing well on the other. You need to measure both.
How to Check Your Score
You can do it manually by asking each AI model about your business and recording the results. But that takes time and you need to know the right prompts to use.
The faster way is PACO GEO's free visibility scan. Enter your business name, city, and category. The system queries all four major AI models with the kinds of questions your customers actually ask. In about 60 seconds, you get your score, a breakdown by model, and specific details on what each AI got right and wrong.
No credit card. No signup required for the basic scan. You can see exactly where you stand before deciding whether to do anything about it.
What Moves the Score
If your score is low, the path to improving it is well-defined. It is not guesswork. These are the actions ranked by impact:
Claim and optimize Google Business Profile. This is the single most important thing. A complete, verified GBP with accurate hours, services, photos, and regular posts is the foundation of AI visibility.
Add Schema.org markup. LocalBusiness, Service, FAQPage, and AggregateRating schemas give AI models structured facts they can cite directly. This is the biggest gap for most businesses.
Fix directory inconsistencies. If your phone number or address differs across directories, AI models lose confidence. Consistency equals trust.
Build FAQ content. Answer the questions your customers ask, in a format AI models can extract and quote. Not buried in a blog post. On a dedicated FAQ page with proper markup.
Get recent reviews. Old reviews tell AI models your business might not be active anymore. A steady stream of new reviews signals that you are alive and operating.
PACO GEO handles all of this automatically. The full GEO service builds your AI-optimized profile, optimizes Foursquare + Google Business Profile + Bing Places, deploys Schema markup, creates FAQ content, and monitors your score weekly.
Your Score Is Your Future Lead Pipeline
Think of your AI visibility score the way you thought about Google rankings ten years ago. The businesses that invested in SEO early dominated their markets for years. AI visibility is the same opportunity, at the same early stage.
The difference is that AI search is growing faster. 527% year-over-year. The window to establish yourself as the business AI models recommend in your market is open right now. It will not stay open forever.
Check your score. See where you stand. Then decide how aggressively you want to own your category in AI search.
What is your score?
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