How does Google determine what shows up when you search someone’s name?

A name search results page is one of the most algorithmically complex pages Google produces. The engine does not simply match a string; it works through a sequence of steps, recognizing the entity first and then assembling a page of sources around that entity, with personalization layered on top.

1. Entity recognition and disambiguation

Before assembling anything, Google identifies the specific person being searched and disambiguates them from others who share the same name. This entity-recognition step is what lets the engine decide which sources actually belong to the person in question.

2. Source assembly around the entity

Google then builds the page from authoritative sources matched to that entity. In practice, the input layers that tend to surface on a name SERP include:

• A Wikipedia article, if the person has one
• LinkedIn, which carries strong domain authority and frequently lands in the top results for an individual’s name
• News articles and other earned coverage
• The person’s own bio on their employer’s site, plus podcast appearances and conference profiles
• Knowledge Panel data, the curated card drawn from Wikidata, Wikipedia, and the Knowledge Graph

3. Personalization and freshness modifiers

On top of the assembled page, Google applies a personalization and freshness layer: the searcher’s own location, language, device, and past search history, along with freshness and click signals, all shape what any given person actually sees.

What this means for reputation work

Because the engine recognizes and frames the person through entity signals – Wikidata, schema markup, and the Knowledge Graph – influencing a name SERP means working at each input layer rather than at the output. That means keeping Wikipedia accurate, getting the Wikidata entry right, aligning the LinkedIn and corporate bio, and supporting authoritative coverage in the outlets the engine trusts.