What happens when a client, an investor or a recruiter types your name into Google and gets a movie star? If you share a name with someone famous, you already know the answer. They see the star’s photos, the star’s Wikipedia page, the star’s latest interview, and a Knowledge Panel with someone else’s face. Your LinkedIn profile is on page three, if it shows up at all.

You cannot fix that by trying harder on the exact name. Google has decided, correctly, that most people searching that name want the famous person. What you can do is win the searches that people use when they are looking for you, and make sure that when they find you, nothing about the page confuses you with anyone else. That is the realistic version of same name as a celebrity SEO, and it works better than most people expect.

Why Google shows the celebrity, and what that means for you

Person scrolling search results on a smartphone in a dark room, looking for someone online

Google organizes information about people as entities in its Knowledge Graph. A famous actor or athlete is a strong entity: thousands of news articles, a Wikipedia page, official social accounts, film or sports databases, and millions of searches all point to the same person. When someone types that name, Google’s systems have strong evidence for who they probably mean, and they rank results around that person.

You are also an entity, but a weaker one. Your evidence might be a LinkedIn profile, a company bio, a few podcast appearances and a conference speaker page. Google can tell you are a different person when the context is clear, but it will not lead with you for the bare name, because most searchers do not want you.

This is not a problem to beat. When you have the same name as a celebrity, Google is doing its job, and the job is a fact to design around. The people who matter to your career rarely search your bare name with no context. A prospect who heard about you at a conference types your name plus your company. A recruiter types your name plus your title. A journalist types your name plus your city or industry. Each of those modified searches is a different results page, and on each one the celebrity has much less pull.

The same logic now applies to AI answers. When someone asks ChatGPT, Perplexity or Google’s AI Overviews about you, those systems try to work out which person is meant from the context in the question and the pages they retrieve. If your own pages give them thin context, they fill gaps with the most common facts attached to your name, which are the celebrity’s. People with famous namesakes are some of the most frequent victims of AI answers that blend two biographies into one.

Build your Modifier Moat

I use a framework I call the Modifier Moat. The idea is simple: list the modifiers people attach to your name when they are looking for you specifically, then build pages and profiles that own each combination. Each modifier is a small, defensible results page. Together they form a moat around the version of your name that belongs to you.

Start by writing down every modifier that applies. Your company name, past and present. Your job title and profession. Your city and region. Your industry. Your school, if it is distinctive. Your middle initial. Any niche topic you are known for. Most people end up with eight to fifteen.

Next, rank them by how often someone who matters to you would use them. For most founders, name plus company comes first, then name plus title or profession, then name plus city. For consultants and advisors, name plus specialty often ranks higher than company.

Now search each combination, logged out or in a private window, and record what appears in the top ten. You will often find that the celebrity still shows up for some combinations (name plus a city where they live, name plus a common profession) and disappears for others (name plus your company). The combinations where the celebrity has disappeared are the easiest wins. The ones where they still appear show you where to focus effort.

Then decide which page you want to rank first for each combination. This is the step most people skip when they first notice they share the same name as a celebrity on Google, and it is the one that turns a vague worry into a work plan. For name plus company, it is often your company bio page or your personal site. For name plus profession, your personal site or a strong profile on an industry platform. Write that target page next to each modifier in your list, and check it once a month.

A few traps catch people at this stage. The first is chasing a modifier nobody uses. “Jordan Lee entrepreneur” sounds like a good target, but almost no one who knows you types it, and it is crowded with the celebrity’s business ventures. Name plus your actual company is narrower and far more valuable. The second trap is building pages that never say who you are not. You do not need to mention the celebrity, but you do need enough specifics (company, city, years, field) that a reader skimming for ten seconds can tell you apart. The third is changing your name format halfway through. If you switch from “Jordan Lee” to “Jordan T. Lee” on LinkedIn, switch everywhere in the same week, or you split your own signal in two.

One more point on the list itself. Modifiers change as your career does. When you join a new company, launch a product or move cities, add the new modifier to the list on day one and update every profile in the same sitting. People with the same name as a celebrity lose the most ground during transitions, when the old modifier stops pointing at a live page and the new one has not been built yet.

Five moves that win the searches that matter

Confident professional holding a clipboard in an office, the kind of headshot that anchors a personal brand

Pick one version of your name and use it everywhere. If your name is John Smith and a famous John Smith exists, decide whether you are “John A. Smith,” “John Andrew Smith” or “John Smith” with a firm modifier in every bio. Then make every profile match: LinkedIn, your company site, conference bios, podcast show notes, bylines, your email signature. Consistency is how search engines and AI tools connect scattered mentions into one entity. A name that appears three different ways looks like three weak people instead of one strong one.

Own a personal site with your name and your modifier in it. Your exact-match domain may belong to the celebrity or a squatter. That is fine. A domain that combines your name with your profession or middle initial works well, and so does a page on your own company domain. The home page should state, in the first two sentences, your full name, your role, your company and your city. Add Person structured data (schema.org markup) with your name, job title, employer and a sameAs list linking to your LinkedIn, X, Crunchbase and other profiles. This gives search engines and AI crawlers an unambiguous description of you, written by you.

Write a disambiguating bio and repeat it. Draft a two-sentence bio that a stranger could not confuse with the celebrity. “Jordan Lee is the founder of Ferrow Logistics, a freight software company in Columbus, Ohio, and a former operations lead at a national carrier.” Use that bio, or a close version, on every profile and every guest appearance. The repetition of your name next to the same company, city and role is what teaches machines that this Jordan Lee is a separate person.

Earn coverage that names your modifiers. Press coverage carries more weight than profiles, because it is independent. When you are quoted, interviewed or featured, ask the editor to include your title and company with your name. Trade publications, local business journals and industry podcasts are realistic targets, and they often do this by default. Each article becomes another page that ranks for name plus company and another source that AI systems can cite when describing you.

Claim and correct what you can. If Google already shows a Knowledge Panel for you, you can request verification and suggest edits through Google’s process for people with panels. If a site has mixed you up with the celebrity, a short, polite email to the editor with the correct details often fixes it. Google’s “Results about you” tool helps remove pages that show personal contact details, which matters for people whose famous namesakes attract unwanted attention. And if an AI assistant gets you wrong, the fix is upstream: improve the pages it reads, then check again in a few weeks.

How to measure progress without obsessing

Set a simple monthly check. Search your top five modifier combinations in a private window and note where your target page ranks. Ask two or three AI assistants a neutral question, such as “Who is [your name], [your title] at [your company]?” and record whether the answer describes you correctly, describes the celebrity, or blends both. Keep the notes in one spreadsheet with dates.

You are looking for direction, not perfection. A good first quarter looks like this: your personal site and LinkedIn rank in the top three for name plus company, the celebrity has disappeared from name plus title, and at least one AI assistant describes you correctly when given your company name. A good first year adds press coverage that ranks for name plus profession and a consistent AI description even with less context in the question.

If an AI assistant keeps blending you with the celebrity after three months of cleanup, look at which pages it cites. Perplexity and Google’s AI Overviews show their sources, and the culprit is often a single old profile or directory listing that states your name with no context. Fix or remove that page and the blended answer tends to clear up.

What you should not track is your ranking for the bare name. It will move very little, and watching it will make you feel like the work is not paying off when it is.

The clearest proof that this works comes from academia. Michael I. Jordan, the University of California, Berkeley computer scientist who is one of the most cited researchers in machine learning, shares his name with the most famous basketball player in history. He publishes as “Michael I. Jordan,” his institution and field appear next to his name in every paper and profile, and anyone searching “Michael Jordan machine learning” or “Michael I. Jordan Berkeley” finds him at the top. He did not beat the athlete for the bare name. He built a moat around the version of the name that belongs to him.