A Legal Practice, a Neighborhood, and the Wrong Service
How ChatGPT can get a legal service wrong: the neighborhood is right, the specialty is borrowed, the source is old.
LanguageA model names the company correctly, then in the next line attributes a competitor's service to it. The source looks reliable, but it leads to a page nobody has updated for several years. My notes usually begin with small failures like these. In the blog, I examine how AI systems see companies: which brands they name, which they skip, which sources they treat as evidence. I usually publish once a week or a little less often.
How ChatGPT can get a legal service wrong: the neighborhood is right, the specialty is borrowed, the source is old.
LanguageHow a simple audit table shows AI answer errors, sources, competitors, and next actions in brand visibility work.
LanguageWhy ChatGPT uses old business information: how an outdated directory can bring a retired service back.
SourcesHow ChatGPT can reduce a specialized B2B service to generic automation—and where to look for the break in its descriptions.
LanguageHow an English page can thin out a Brazilian brand’s local trace in ChatGPT answers.
SourcesWhy ChatGPT recommends a competitor: three reasons a clearer brand may show up next to yours.
SourcesWhy ChatGPT can name a São Paulo clinic and still blur its specialty, doctor profile, and neighborhood.
SourcesHow to check whether ChatGPT sees a brand: record five query runs, sources, oddities, and next actions.
LanguageWhen one service has several names, ChatGPT may attach the brand to the wrong category.
How the model assemblesHow informal ChatGPT prompts can change which companies appear, even when the business problem stays close.
How the model assemblesHow to read Perplexity sources for brands: when a link confirms an answer, labels a category, or carries old confusion.
How the model assemblesWhy ChatGPT can mention a brand without visiting its website, and how older public traces reshape the way a company is described.
How the model assembles