Brand protection in search and AI means finding where a personal brand, company, or product is represented incorrectly, confused with something else, impersonated, abused, misused, or used to intercept branded traffic. The goal is to correct what you can, report genuine abuse, and make accurate information and official channels easier to verify.
It overlaps with online reputation management. But reputation management focuses more on how a brand is perceived. Brand protection focuses on whether people and systems can identify the real brand, find accurate information, and distinguish official channels from impersonators or unauthorized intermediaries.
Sometimes the wrong person appears in search results, an old claim is presented as current, or an impersonator becomes easier to find than the official channel. If you work with SaaS, you may have heard of slopsquatting: malicious packages registered under names that AI coding tools are likely to hallucinate.
In one documented slopsquatting attack, “unused-imports” was registered as a malicious npm package instead of the legitimate “eslint-plugin-unused-imports,” which is a problem when it’s a name AI tools often reference.
In another, an LLM invented the package name by combining two real tools, and the resulting command spread through 237 GitHub repositories containing AI-generated agent skills. Nobody was compromised, but an attacker could have claimed the same name first.
These cases show why brand misuse is not limited...
In a 2017 piece in The New York Times, voting expert Ari Berman wrote, “The Voting Rights Act of 1965 outlawed tactics that prevented blacks, Hispanics and other minority groups from voting. But fo...