About Frank Masotti
AI Search Engine Report Analyst
More than three decades working with websites,
search engines, and online businesses.
The Person Behind the AI Search Engine Report
I’m Frank Masotti, the analyst behind the
AI Search Engine Report.
I’ve spent more than three decades working with websites, search engines, and online businesses. During that time, I’ve watched the way people find businesses online change repeatedly. Today, AI systems such as ChatGPT, Gemini, and Claude are creating another major change in how people research businesses, compare options, and ask for recommendations.
My work now focuses on a question that sits underneath all of that:
What does AI actually understand about a business?
More Than Three Decades Working With the Web
My experience with websites and search engines began long before today’s AI systems existed.
Over more than 30 years, I’ve watched search technology evolve along with the ways businesses publish information and the ways people use that information to make decisions.
AI introduced something different.
Traditional search primarily helps people find information. AI systems can take information about a business and form an interpretation of it. They can describe what the business does, associate it with particular products or services, identify attributes and specialties, compare it with alternatives, and sometimes recommend it.
That means being present online and being correctly understood by AI are not necessarily the same thing.
That distinction became the foundation of my work with the AI Search Engine Report.
Why I Created the AI Search Engine Report
Businesses can have websites, directory listings, social profiles, reviews, press mentions, and years of information distributed across the web.
But the existence of that information doesn’t guarantee that AI systems will interpret it accurately or consistently.
ChatGPT may understand a business one way while Gemini or Claude reaches a different conclusion. One system may recognize an important specialty that another misses. A model may correctly identify what a business does while misunderstanding who it serves, where it operates, or what distinguishes it from competitors.
Those differences can be difficult for a business owner to see.
I created the AI Search Engine Report to examine those interpretations directly and make the differences visible.
I Personally Conduct Every Report
The AI Search Engine Report is a manual analysis, not an automated website scan.
I personally conduct every report.
I evaluate how ChatGPT, Gemini, and Claude understand a business, compare their responses, and look for patterns across the analysis.
That includes where the systems agree, where they disagree, what they understand accurately, what they misunderstand, what they omit, and how their overall interpretations of the business differ.
The findings are then organized into a practical report with observations and recommendations based on what the analysis reveals.
The complete process is explained on the
AI Search Engine Report Methodology
page.
Why the Analysis Is Manual
Automation can collect information. Interpretation requires context.
A missing detail may be insignificant for one type of business and extremely important for another. Two AI systems may use completely different language while reaching essentially the same conclusion. Another pair of responses may appear similar at first glance while revealing an important disagreement when examined in the context of the actual business.
Those distinctions require judgment.
That’s why I personally review the responses, compare the models, identify meaningful agreements and disagreements, and prepare the final report.
Diagnosis Before Prescription
One principle guides the way I approach this work:
Diagnosis before prescription.
Before deciding that a business needs new content, different messaging, website changes, citations, or another AI search strategy, I believe the first step should be determining what the AI systems actually understand now.
Sometimes the problem is missing information. Sometimes it is conflicting information. Sometimes one AI system understands the business while another doesn’t. And sometimes the analysis shows that the business is already understood better than expected.
The purpose of the report is to find out first and make recommendations second.
What I Do and What I Don’t Do
My role is to conduct the analysis, explain the findings, identify meaningful patterns, and provide recommendations based on what I find.
I do not sell SEO, GEO, AEO, implementation services, or ongoing optimization.
That separation is intentional.
I’m not analyzing a business so I can create a list of problems and then sell services to fix them.
The report is the product.
My responsibility is to give the business owner a clear picture of what I found and what those findings mean.
Accountability and Authorship
If my name is attached to an analysis or an article, I’m responsible for the work behind it.
The articles I publish on this website examine AI understanding in the context of specific types of businesses. That’s important because different industries have different customers, terminology, services, specialties, geographic considerations, attributes, and recommendation contexts.
A dentist should not be analyzed as though the business operates like an accountant. A real estate agent should not be evaluated as though the business operates like a manufacturer.
The analysis needs to reflect the reality of the business being examined.
So does the information I publish.
Learn More About My Work
You can learn more about how I conduct an analysis on the
AI Search Engine Report Methodology
page.
For a complete explanation of the report itself, visit
About the AI Search Engine Report.
You can also browse the articles I’ve published on my
Frank Masotti author page.
My job is to find out what AI understands about a business, what it doesn’t, and what those findings mean.
