Why Most Local Businesses Score Zero on AI Visibility — And What It Costs Them

When someone opens ChatGPT and types "recommend a personal injury attorney in Towson, Maryland" — what happens next determines whether your phone rings or a competitor's does.

AI doesn't return a list of links. It picks a name. It cites a source. It recommends a business with the confidence of someone who's already done the research. And right now, for most local businesses in the Baltimore–Towson area, that name isn't yours.

We know because we checked.

The Towson Pilot: What We Found

MAKIF scored a sample of local businesses across the Baltimore–Towson area using our 46-signal Audit Framework — 46 signals evaluated across five layers: Trust, Entity, Retrieval, Citation, and Measurement. The average AI visibility score was 0 out of 100.

Not low. Zero.

That means when the fastest-growing search behavior of the decade — conversational AI queries — asks for a recommendation in your category, these businesses have no presence in the answer. No citation. No mention. Invisible.

Why AI Search Is Different From Google

Traditional search engines return a ranked list. Every business on page one gets some exposure. Generative engines — ChatGPT, Perplexity, Google AI Overviews — work differently. They synthesize a response from sources they've already decided are authoritative, and they present that response as a recommendation. There's no page two.

Research published at KDD '24 by Princeton and Columbia University researchers formalized this as Generative Engine Optimization (GEO) — the first academic framework for understanding how websites can influence their visibility in AI-generated responses. Their finding: content that includes statistics, citations, and sourced claims improves AI citation rates by 30–40% compared to unoptimized content. The same research showed that keyword stuffing — the core tactic of traditional SEO — has no meaningful effect on generative engine visibility. Different system, different rules.

Meanwhile, according to McKinsey's 2026 AI search analysis, 50% of consumers now use AI-powered search, and over 80% of Google searches end without a click to a website at all.

The traffic is shifting. The visibility game has changed. And 84% of businesses aren't tracking their AI presence at all.

What a Score of Zero Actually Means

A score of zero across our 46-signal framework tells a specific story. It typically means:

The business has no structured schema markup helping AI systems understand what it is, where it is, and what it does. The website content answers no conversational questions — it's written for keywords, not for the way people actually talk to AI. The entity is either not recognized or not disambiguated in Google's Knowledge Graph, meaning AI systems can't confidently attribute search results to a specific business. There are no citation triggers — no statistics, no sourced claims, no quotable data — that would prompt an AI system to treat the content as authoritative. And there's no measurement in place, so the business has no idea whether their AI visibility is improving or getting worse.

That's five layers of problems. Each one independently reduces the probability of being cited. Together, they make invisibility the default outcome.

Who This Hurts Most

The KDD '24 research surfaced a counterintuitive finding: lower-ranked websites benefit more from GEO than high-ranked ones. For the fifth-ranked site in a category, adding citations and statistics to content produced a 115% improvement in visibility in generative engine responses. For the top-ranked site, the same method actually decreased visibility slightly — the AI systems had already decided they were the authority.

This matters for local businesses. Most aren't ranking first for anything competitively. They don't have the domain authority of national players. Traditional SEO was always harder for them than for larger competitors. Generative engine optimization levels that playing field — but only for businesses that actually make the changes.

The Cost of Staying Invisible

McKinsey estimates $750 billion in US revenue will flow through AI-influenced search by 2028. That's not revenue for AI companies — that's consumer spending decisions made through AI-assisted discovery. Legal services, home services, financial services, medical practices — every professional service category that depends on local trust and recommendation is directly in the path of this shift.

The question isn't whether this change is coming. It's already here. The question is whether your business will be the one getting recommended — or the one getting passed over while a competitor answers the question first.

What You Can Do Right Now

You can open ChatGPT, Perplexity, and Google AI and type the exact queries your clients use. Ask for a recommendation in your category, your city. See what comes back. See if your name is there.

If it isn't, that's your baseline. That's what the MAKIF Audit quantifies — not just that you're invisible, but exactly which of the 46 signals are the reason why, and which changes would move the needle fastest.

The average score we've seen in Towson is 0. The gap between those two numbers is what MAKIF exists to close.

Sources: KDD '24 GEO Research (Aggarwal et al., Columbia & Princeton Universities) · McKinsey AI Search Report 2026 · MAKIF Audit Data, Towson MD Pilot, 2025