Skip to main content

The Local AI Visibility Index

Cardiology (Preventive / Concierge) across 6 US markets

We measured every Cardiology (Preventive / Concierge) practice Google Maps returns in 6 markets — 54 businesses in total — then asked 5 AI answer engines the same 10 patient questions in each one and recorded who got named.

Practices
54
Markets
6
Questions
10 per market
Engines
5
Measured
July 2026

17 of 27

of the best-reviewed Cardiology (Preventive / Concierge) practices across 6 markets were named by no AI answer engine at all — out of the 54 practices these markets hold.

Finding 01

How often do the best-ranked local businesses show up in AI answers?

The 5 best-ranked businesses on Google Maps still showed up in only 32.4% of AI answers. Measured across 54 cardiologists in 6 markets — every one Google Maps returned: across the 5 best-ranked by map position, an AI engine named them in 32.4% of the answers about their own category.

Ranking well clearly helps. It is also clearly not the thing that decides it — most of the best-ranked businesses across these 6 markets still never came up. And this is an average of markets that do not agree with each other: rank counted for more in the smaller markets we measured than in the larger ones.

Google Maps rank vs getting named — all 6 markets combined
Where they rank on Google MapsNamed by AIShare
The 1st third — best ranked on Maps9 of 1850%
The middle third7 of 1838.9%
The bottom third2 of 1811.1%

Finding 02

Are the best-reviewed local businesses named by AI answer engines?

17 of the 27 best-reviewed businesses in this category were named by no AI answer engine. Measured across 54 cardiologists in 6 markets — every one Google Maps returned: among the top half by Google rank, star rating and review count combined, 17 of 27 show up in Google Maps but were named in none of the AI answers about their own category.

Finding 03

Do different AI answer engines recommend the same businesses?

No two AI answer engines recommended the same businesses in this category. Measured across 54 cardiologists in 6 markets — every one Google Maps returned: asked the same questions, the closest any two engines came to agreeing was 19 of the 22 businesses either of them named — so being named by one is no guarantee of being named by the others.

Across every market combined, each engine named a different share of the businesses measured: Gemini named 21, Perplexity named 20, Google AI Overview named 20, ChatGPT named 17, Claude named 11.

01231413ChatGPTGeminiPerplexity
Of the 24 practices named by any of the three, all three agreed on 13.
How often two engines named the same business
Engine pairAgreed on
Gemini & Google AI Overview86.4%
Perplexity & Google AI Overview81.8%
ChatGPT & Gemini72.7%
Gemini & Perplexity70.8%
ChatGPT & Google AI Overview68.2%
ChatGPT & Perplexity60.9%
Claude & Perplexity55.0%
Claude & Google AI Overview55.0%
Claude & Gemini52.4%
ChatGPT & Claude40.0%

How much does this vary between markets?

Substantially. The share of practices no engine named ranged from 40% to 76.9% across the 6 markets measured. Every market’s own figures are published on its own page, computed from that market alone.

Per-market results — 54 businesses across 6 markets
MarketPracticesNever namedTop 3 took
Baton Rouge, LA1464.3%93.8%
Fort Smith, AR1376.9%100%
Lancaster, PA1172.7%100%
Longview, WA666.7%100%
Eau Claire, WI540%100%
Topeka, KS560%100%

How we measured it

In each of 6 markets we pulled every Cardiology (Preventive / Concierge) practice Google Maps returns, then asked 5 AI answer engines the same 10 patient questions and recorded which ones each engine named.

Sample
54 practices across 6 markets: Baton Rouge, LA; Eau Claire, WI; Fort Smith, AR; Lancaster, PA; Longview, WA; Topeka, KS. A practice with more than one listing is counted once per market. 363 listings that share the websites of 29 organizations are counted as those organizations, because AI engines cite an organization's site rather than any individual listing.
Market selection
The 6 markets were picked before any measuring started — deliberately spread across large, medium and small cities and across the country — and every market we opened is reported here, including the ones that came back less interesting.
Collection
10 patient questions per market, held identical across ChatGPT, Claude, Gemini, Perplexity and Google's AI Overview. 50 answers per market, July 2026.
Visibility
Share of answers naming or citing a practice, weighted by the reach of the engine that named it.
What we will and will not publish
This is a small category: the 6 markets measured hold 54 practices between them, and that is every one Google Maps returned. Findings on this page are stated as counts of that universe rather than percentage-led claims, because at this size one practice moves a percentage by several points. Top-three concentration and review-correlation findings are not reported below 150 practices; a combined page still requires at least 3 markets, 30 practices, and a usable reading for at least half of them.
Scope
One category, 6 US markets. Practices are never named. Answer engines change over time; these figures describe July 2026.

For anyone who wants the statistics

The findings above are counts, which is how most people want to read them. Here are the same relationships as correlations, across all 54 businesses.

Reputation signals vs getting named — 54 practices
What we measuredHow closely it trackedWhat that means
Google Maps rank−0.383A slight connection
Review count−0.018No connection
Star rating−0.159No real connection

Reading the middle column: 0.0 means the two things had nothing to do with each other. 1.0 would mean they moved together perfectly. A minus sign means they moved in opposite directions. Anything under about 0.2 either way is noise.

The Local AI Visibility Index — 6 markets, July 2026. Published by Moonline AEO GEO.