Stand Out in AI Search Even With A Common Name

Common Name. Extraordinary Results.

There are more than 500 Tia Williams profiles on LinkedIn. When someone searches my name, AI has to decide which one is me. For a long time, it was getting it wrong. What I discovered as I fixed my own results is that this problem is more common than most realize. Other suspected problems often take the blame, but I believe a day is coming when people will start to realize what a cluster AI search is when it comes to understanding, interpreting, and communicating the real expertise of real people in search results.

By Tia A. Williams · Principal Systems-Thinking Architect

My work protects your expertise, reputation, and legacy from being lost, misattributed, or overwritten in AI search and discovery systems.

The Name Collision Problem

Name collisions are one of the biggest reasons AI search gets people wrong. The system confuses you with someone else, blends you with other people, or simply can't tell who you are at all. When that happens, it treats you like you're not credible enough to recommend.

AI search isn't just returning a list of links. It interprets, contextualizes, and summarizes. It decides who to surface as credible. If it can't identify you correctly, you don't just get harder to find. You become invisible, or worse, misrepresented.

My situation makes this especially clear. My name is constantly in a battle with Tia Williams, the fiction author. She has strong authority signals everywhere: press, book pages, publisher sites, reviews, mentions across high-authority domains. Big entities can drown you out completely, even if they're not the right answer. AI has more confidence surfacing them because their authority is verified.

So the problem is twofold: name collision and unverified authority.

How AI Decides Which One Is You

The system's way of sorting this out is called disambiguation. It looks at the data it has and asks: Which one of these people is the right match for this search? The way it decides is by looking for what I call Anchors.

An Anchor is something uniquely tied to you that helps AI identify you as a distinct entity, not a person with a similar name or overlapping work history.

Hollywood solved this problem a long time ago, they just didn't call it disambiguation. Hollywood doesn't allow multiple people with the same name. So Michael Douglas became Michael Keaton. Katherine Hudson became Katy Perry. David Jones became David Bowie. They understood something most professionals don't realize until it's too late: if the public can't distinguish you, you don't have your own identity. If AI search can't distinguish you, you don't own your discoverability.

You don't have to change your name. But you do have to distinguish yourself in a way AI can understand.

What a Strong Anchor Looks Like

My husband has one of the most common name combinations in the US. James Williams. There are over 86,000 genealogy results for that name. His anchors are his job title and his certification. With those two identifiers, AI was able to return him as one of three possible matches in a search result.

That's disambiguation working correctly. It proves something important: AI search doesn't just need content. It needs identifiers that connect the right content back to the right expert.

If your anchor is too generic, it won't help you. If your anchors are inconsistent across platforms, it gets worse. AI might know you on LinkedIn but not connect you on YouTube. It might associate you with one title but miss your expertise entirely. When that happens, it loses confidence and picks somebody else.

Disambiguation is not just a technical problem. It's a business problem. When AI doesn't have confidence in who you are, it affects whether you get surfaced, cited, or chosen.

Four Anchor Categories AI Uses to Recognize You

The best anchors are usually some combination of these:

Your niche or expertise area. Your title or role. Your certifications or credentials. Your location.

For example: Tia Williams the systems thinker. Tia Williams, Raleigh-Durham. Tia Williams, Senior Vice President at Corporate Finance Institute. All of those disambiguate me. The more unique and consistent those anchors are across the internet, the easier you are to identify, and the less likely you are to get blended, buried, or misrepresented.

Don't Leave Disambiguation to Chance

You need a clear anchor and consistent authority signals that reinforce those anchors across the internet. Because when you leave your identity ambiguous, you leave room for the wrong dots to get connected.

What's the one identifier you want to be known for? Not what you do in general. The one phrase you want AI and your prospects to associate with you as the expert. If you can't articulate it clearly, AI can't either.

Drop it in the comments: your name plus the one thing that makes you unique. I'll tell you if it's strong enough for AI search to distinguish you, or if it's too generic and likely to get lost.

Watch my full breakdown: Stand Out in AI Search | Even With A Common Name by Tia A. Williams

Read the technical case study, including before and after screenshots of how I reconstructed my entity across Google, Perplexity, and ChatGPT: A Technical Look at Mistaken Identity in AI Search Results by Tia A. Williams