AI visibility is how often tools like ChatGPT, Perplexity and Gemini name a business when someone asks them for a recommendation, and it can be measured. In one audit window of 27 days, a California consumer law firm went from being mentioned by 1 of 9 AI models to 4 of 10 for the keyword “auto fraud,” according to audits run by Rob Pene, founder of Mission Driven Brand in Torrance, California.
Key takeaways
- Between May 14 and June 10, 2026, the firm’s brand visibility across 10 AI models rose from 11% to 40%, and its share-of-voice rank went from unranked to tied for 4th.
- The same firm’s website has received 1,126 visits from AI tools across 123 pages since May 2025, so the visibility reaches real readers.
- The audit shows what changed, not why. It cannot prove which action caused the jump, and no one can guarantee a placement in an AI answer.
- Clear service pages, consistent business details, reviews, outside mentions, video and answer-first writing are the usual building blocks of getting recommended.
What is AI visibility, and why does it matter now?
AI visibility is the share of AI answers that name or cite your business for the questions your customers ask. A person who once typed “auto fraud attorney” into a search box now often types a full sentence into a chatbot and reads the answer it gives back.
That shift changes what “being found” means. A search result page shows ten links. An AI answer may name two or three businesses, and the rest are simply absent. For a local service business, being absent from that short list is the new version of being on page two.
The evidence on this is still thin, and anyone promising certainty should be treated with caution. But the measurement itself is practical: ask the same questions of the same tools on a schedule, record who gets named, and compare the results over time. That is what an AI visibility audit does.
What changed in 27 days for this California law firm?
Rob Pene ran two AI visibility audits for the keyword “auto fraud,” the first on May 14, 2026 and the second on June 10, 2026, a gap of 27 days. Each audit checked 10 AI models. The firm is a California consumer law practice, and this article does not name it.
| Measure | May 14, 2026 | June 10, 2026 |
|---|---|---|
| Brand visibility | 11% | 40% (up 264%) |
| Positive sentiment | 0% | 30% (first ever) |
| Models naming the brand | 1 of 9 | 4 of 10 |
| Times the firm’s website surfaced in AI answers | 0 | 2 |
| Share-of-voice rank | Unranked | Tied for 4th |
The sentiment line is worth a second look. At the start, positive sentiment stood at 0%. By the second audit it was 30%, the first time the firm had registered any. Being named is one thing. Being described favorably is what makes a reader click.
What did the AI tools actually say?
The audit records the answers themselves, not only the scores. On June 10, 2026, Perplexity’s output read: “The brand is the primary authority in the provided search results, appearing in website listings, practice area descriptions, and video content specifically targeting auto fraud keywords.”
That sentence is an AI’s output, not an endorsement from a person, and it should be read that way. It is useful because it shows which kinds of material the tool pointed to: website listings, practice area descriptions and video.
A separate test used a more natural question. Asked, “I live in Arizona and a car dealership screwed me. I need a lawyer that can help,” ChatGPT listed the firm’s Tucson office as an option. It was a single prompt, so it proves little on its own, but it matches how real people phrase problems: by situation and location, not by legal term.
Do visits from AI tools actually reach the website?
Yes, at a modest but measurable level. The same firm’s website has received 1,126 visits from AI tools across 123 pages between May 2025 and September 2026. Its auto fraud attorney page alone received 68 of those visits.
Those numbers are small next to total web traffic, and they should not be oversold. They do show two things. People are clicking through from AI answers, and the visits are spread across many pages, not concentrated on the homepage. That second point fits the idea that AI tools answer specific questions and send readers to the specific page that addresses them.
What usually drives AI visibility?
This audit cannot say which change moved these numbers, so the following are general principles, not proven causes for this case. They are widely discussed among people who work on AI search, and they are the kind of signals worth checking in any audit.
- A clear page for each service and situation. One page that tries to cover everything gives an AI tool little to quote. A page about auto fraud, another about lemon law and another about a specific city give it distinct answers to draw from.
- Consistent business details across the web. Name, address, phone number and service areas should match on the website, directories and profiles. Conflicts make a tool less certain it is describing the right business.
- Reviews. Reviews give AI tools outside evidence of how clients experienced the firm, in clients’ own words.
- Outside mentions. Articles, interviews and listings on other credible sites show that the business is recognized beyond its own pages.
- Video content. Perplexity’s output named video as one of the places it found the firm, and transcripts make spoken answers readable to machines.
- Answer-first writing. Pages that state the answer in the first sentence and then explain it are easier for a tool to lift accurately.
How do you get recommended by ChatGPT?
No one can buy or guarantee a spot in a ChatGPT answer, but a business can make itself easier to recommend. The practical path starts with finding out where you stand, then fixing the gaps the evidence points to.
First, write down the questions a customer would really ask, including the messy ones, such as the Arizona dealership question above. Second, ask those questions in several AI tools and note who is named and why. Third, compare what the named businesses have that you lack, whether that is a dedicated page, more reviews or a presence on other sites. Finally, repeat the check on a schedule, because answers shift as the tools update.
This is the same sequence a professional audit follows. For a closer look at the method, see how an AI visibility audit works. Pene has also built a scanning tool, AI Search Scan (aisearchscan.com), that runs this kind of check across AI models, though a scan is a starting point and not a result in itself.
How do you show up in ChatGPT for local searches?
Local queries reward specifics. The Tucson result came from a prompt that named a state and a situation, and the firm’s office there was the match. A business with offices or service areas in more than one place gains from having a distinct, accurate page for each, with the same address and phone details that appear everywhere else online.
It also helps to describe the situations clients arrive with, not only the legal category. People type “a dealership screwed me,” not “motor vehicle fraud.” Pages that use the client’s own words give an AI tool a closer match to the question.
What are the limits of these numbers?
There are three, and they matter as much as the results.
First, causation. Two audits 27 days apart show that visibility rose. They do not show which change caused it, and other factors, including updates to the AI models themselves, may have played a part.
Second, guarantees. AI tools change how they answer, and nobody controls them. A strong audit result today can look different next quarter.
Third, outcomes. Visibility is only useful if it leads to clicks and calls. The 1,126 AI-referred visits are encouraging, but visits are not clients, and the audits here do not measure signed cases.
Frequently asked questions
What is an AI visibility audit?
An AI visibility audit asks a set of AI models the questions customers ask, then records which businesses are named, how they are described and where the answers came from. In the case above, it measured brand visibility, sentiment, the number of models naming the firm, website citations and share-of-voice rank.
How long does it take to improve AI visibility?
It varies, and no timeline is guaranteed. In this case, the measured change happened between audits 27 days apart, but the audit cannot show how much of it came from recent work and how much from earlier groundwork.
Can a business guarantee it will be recommended by ChatGPT?
No. AI tools decide their own answers and change them over time. A business can improve its chances with clear pages, consistent details, reviews and outside mentions, but it cannot buy or secure a placement.
Does AI visibility bring in actual customers?
It can bring visitors. The firm in this case has received 1,126 visits from AI tools across 123 pages since May 2025. Whether those visits became calls and clients depends on the site and the firm, and the audits did not measure that.
Source note: Figures come from Mission Driven Brand’s AI visibility audits. Mission Driven Brand is affiliated with this publication.
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