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The Local AI Visibility Index

Phoenix Mold Remediation

We asked 5 AI answer engines 10 questions a prospective customer would actually ask, then measured which of the market’s 90 businesses got named. 80 of them never came up once.

Market
Phoenix, AZ
Businesses
90
Questions
10
Engines
5
Measured
July 2026

Every business in the market · one dot each · ordered by Google Maps rank · lit = named by at least one engine

Named by AI — 10 businessesNever named — 80 businesses

88.9%

of Mold Remediation businesses in Phoenix were named in none of the 50 AI answers we collected.

Finding 01

Does ranking well on Google mean AI recommends you?

It helps, and it is nowhere near enough. Of the 30 best-ranked businesses in Phoenix, 6 got named by an AI engine 20%. Of the 30 ranked lowest, 2 did. The single most-named business in this market ranked 14th on Maps, coming up in 46% of answers.

Google rank and AI answers are decided by two different systems looking at different things. Your map position comes from how close you are, what category you are in, and how people engage with your listing. Whether an AI names you depends on whether it can find, read and trust a description of your business in the sources it pulls from. Ranking first buys you better odds. It does not buy you the answer.

Google Maps rank vs getting named — Phoenix
Where they rank on Google MapsNamed by AIShare
The 1st third — best ranked on Maps6 of 3020%
The middle third2 of 306.7%
The bottom third2 of 306.7%

Finding 02

How many local businesses actually appear in AI answers?

Very few, and the ones that do take most of it. Of 90 businesses measured, 10 were named at least once and 80 were never named. The three most-named businesses took 41.8% of every mention in the market.

The most-named business came up in 46% of answers; the fourth came up in 46%; everything below that was 46% or less. A short shelf at the top, and a long floor underneath it.

Business A46%
Business B46%
Business C46%
Business D46%
Business E46%
Business F36%
Business G28%
Business H18%
Business I9%
Business J9%
80 businesses0%

Bar length is the share of all 50 answers, so a full bar would mean every answer named them.

Business I is one organization — 2 Google Maps listings that share its website, counted once because AI engines cite the organization’s site rather than any individual listing.

Finding 03

Are the best-reviewed businesses invisible to AI?

Often, yes. Take the 22 strongest businesses in Phoenix — the top 25% once you combine Google rank, star rating and number of reviews — and 16 were never named by any engine. That is 72.7% of the best businesses in town, missing from every answer.

One of them ranks 3rd on Maps with 5.0 stars, and was named zero times across all 50 answers. One of them ranks 6th on Maps with 4.9 stars, and was named zero times across all 50 answers. Their customers rate them highly and Google ranks them well. The AI engines do not know they exist.

Why this matters more than who came first. The businesses at the top of this market are already competitive. The businesses with the most to gain are the 16 businesses that earned a top-25% reputation and get none of the benefit of it in AI answers.

Finding 04

Do Google reviews affect whether AI recommends you?

A little, here. In Phoenix the businesses AI named average 4.86 stars against 4.75 for the ones it never named.

9 businesses here were named by at least one engine, rating between 4.7 and 5.0 stars. 72 were named by none, rating between 1.0 and 5.0. The two groups overlap almost completely.

Reviews do real work in the map pack and in how customers choose. This measures something narrower: whether they are what makes an AI say your name. In Phoenix the answer is what the numbers above say it is, and it is not the same answer in every market we measured.

Finding 05

Do ChatGPT, Gemini and Perplexity recommend the same businesses?

No. Asked the same questions about the same market, the closest any two engines came to agreeing was 62.5% of thebusinesses they named — and the furthest apart pair agreed on just 35.7%.

Each engine surfaced a different slice of the market: Perplexity named 14, Google AI Overview named 13, Gemini named 12, Claude named 9, ChatGPT named 5. Showing up in one does not mean showing up in the others, so checking yourself against a single assistant tells you very little.

0240055ChatGPTGeminiPerplexity
Of the 16 businesses named by any of the three, all three agreed on 5.
How often two engines named the same business
Engine pairAgreed on
Gemini & Perplexity62.5%
Gemini & Google AI Overview56.2%
ChatGPT & Claude55.6%
Claude & Perplexity53.3%
Claude & Gemini50.0%
Claude & Google AI Overview46.7%
Perplexity & Google AI Overview42.1%
ChatGPT & Gemini41.7%
ChatGPT & Google AI Overview38.5%
ChatGPT & Perplexity35.7%

How we measured it

We pulled every Mold Remediation business Google Maps returns for Phoenix90 of them, after combining duplicate listings of the same business — then asked 5 AI answer engines the same 10 customer questions and recorded which ones each engine named.

Who is in it
90 businesses, from everything Google Maps returns for "mold remediation" in Phoenix, AZ. A business with more than one listing is counted once. 7 listings that share the websites of 3 organizations are counted as those organizations, because AI engines cite the organization's site rather than any individual listing.
What we asked
10 questions a customer would actually ask, kept identical across ChatGPT, Claude, Gemini, Perplexity and Google's AI Overview. 50 answers in total, July 2026.
How we scored it
The share of answers that named or cited a business, weighted by how many people use the engine that named it.
How we ranked reputation
Google Maps position, star rating adjusted for how many reviews back it up, and review count on a sliding scale that levels off around a thousand.
Scope
One market, one category. Every number on this page describes Phoenix and comes from that market alone — results differ between markets and we do not carry them across. We never name individual businesses. AI engines change over time; this describes 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, for readers who prefer them.

Reputation signals vs getting named — 90 businesses
What we measuredHow closely it trackedWhat that means
Google Maps rank−0.174No real connection
Review count+0.146No real connection
Star rating+0.052No 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 — Phoenix, July 2026. Published by Moonline AEO GEO.