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The Local AI Visibility Index

Plastic & Cosmetic Surgery across 6 US markets

We measured every Plastic & Cosmetic Surgery practice Google Maps returns in 6 markets — 127 businesses in total — then asked 5 AI answer engines the same 10 patient questions in each one and recorded who got named.

Practices
127
Markets
6
Questions
10 per market
Engines
5
Measured
July 2026

47 of 64

of the best-reviewed Plastic & Cosmetic Surgery practices across 6 markets were named by no AI answer engine at all — out of the 127 practices these markets hold.

Finding 01

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

The 12 best-ranked businesses on Google Maps still showed up in only 21.2% of AI answers. Measured across 127 plastic surgeons in 6 markets — every one Google Maps returned: across the 12 best-ranked by map position, an AI engine named them in 21.2% 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 Maps16 of 4238.1%
The middle third4 of 429.5%
The bottom third1 of 432.3%

Finding 02

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

47 of the 64 best-reviewed businesses in this category were named by no AI answer engine. Measured across 127 plastic surgeons in 6 markets — every one Google Maps returned: among the top half by Google rank, star rating and review count combined, 47 of 64 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 127 plastic surgeons in 6 markets — every one Google Maps returned: asked the same questions, the closest any two engines came to agreeing was 23 of the 33 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: Perplexity named 30, Gemini named 28, Google AI Overview named 26, Claude named 14, ChatGPT named 12.

24611158ChatGPTGeminiPerplexity
Of the 37 practices named by any of the three, all three agreed on 8.
How often two engines named the same business
Engine pairAgreed on
Perplexity & Google AI Overview69.7%
Gemini & Perplexity65.7%
Gemini & Google AI Overview63.6%
Claude & Google AI Overview53.8%
Claude & Perplexity37.5%
ChatGPT & Google AI Overview35.7%
Claude & Gemini35.5%
ChatGPT & Claude30.0%
ChatGPT & Gemini29.0%
ChatGPT & Perplexity27.3%

How much does this vary between markets?

Substantially. The share of practices no engine named ranged from 50% to 90.7% across the 6 markets measured. Every market’s own figures are published on its own page, computed from that market alone.

Per-market results — 127 businesses across 6 markets
MarketPracticesNever namedTop 3 took
Riverside, CA4390.7%92.2%
Memphis, TN3781.1%81.3%
Wilmington, NC2882.1%82.1%
Manchester, NH1580%100%
Ames, IA250%100%
Pocatello, ID250%100%

How we measured it

In each of 6 markets we pulled every Plastic & Cosmetic Surgery practice Google Maps returns, then asked 5 AI answer engines the same 10 patient questions and recorded which ones each engine named.

Sample
127 practices across 6 markets: Ames, IA; Manchester, NH; Memphis, TN; Pocatello, ID; Riverside, CA; Wilmington, NC. A practice with more than one listing is counted once per market. 153 listings that share the websites of 41 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 127 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 127 businesses.

Reputation signals vs getting named — 127 practices
What we measuredHow closely it trackedWhat that means
Google Maps rank−0.338A slight connection
Review count−0.068No connection
Star rating+0.031No 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.