These are the 100 most searched people, along with their monthly search volumes.
| # | Person | Search Volume |
|---|---|---|
| 1 | sydney sweeney | 4,400,000 |
| 2 | donald trump | 3,680,000 |
| 3 | taylor swift | 3,470,000 |
| 4 | rob reiner | 2,900,000 |
| 5 | sabrina carpenter | 2,520,000 |
| 6 | ozzy osbourne | 2,480,000 |
| 7 | ed gein | 2,380,000 |
| 8 | elon musk | 2,230,000 |
| 9 | millie bobby brown | 2,030,000 |
| 10 | shedeur sanders | 1,950,000 |
| 11 | billie eilish | 1,700,000 |
| 12 | pedro pascal | 1,680,000 |
| 13 | jenna ortega | 1,540,000 |
| 14 | candace owens | 1,540,000 |
| 15 | ana de armas | 1,530,000 |
| 16 | lebron james | 1,490,000 |
| 17 | hulk hogan | 1,490,000 |
| 18 | travis kelce | 1,440,000 |
| 19 | caitlin clark | 1,390,000 |
| 20 | aaron rodgers | 1,350,000 |
| 21 | morgan wallen | 1,340,000 |
| 22 | bad bunny | 1,330,000 |
| 23 | tate mcrae | 1,290,000 |
| 24 | charlie kirk | 1,250,000 |
| 25 | jacob elordi | 1,240,000 |
| 26 | ariana grande | 1,230,000 |
| 27 | adam sandler | 1,210,000 |
| 28 | jeffrey epstein | 1,200,000 |
| 29 | jd vance | 1,150,000 |
| 30 | d4vd | 1,140,000 |
| 31 | lamar jackson | 1,110,000 |
| 32 | shohei ohtani | 1,090,000 |
| 33 | malcolm jamal warner | 1,050,000 |
| 34 | kristi noem | 1,050,000 |
| 35 | sophie cunningham | 1,050,000 |
| 36 | josh allen | 1,040,000 |
| 37 | joe burrow | 1,030,000 |
| 38 | zohran mamdani | 1,000,000 |
| 39 | timothee chalamet | 1,000,000 |
| 40 | tyreek hill | 1,000,000 |
| 41 | patrick mahomes | 980,000 |
| 42 | bryan kohberger | 970,000 |
| 43 | bruce willis | 970,000 |
| 44 | angel reese | 950,000 |
| 45 | michael jackson | 940,000 |
| 46 | madison beer | 940,000 |
| 47 | drake maye | 940,000 |
| 48 | benson boone | 940,000 |
| 49 | hailee steinfeld | 930,000 |
| 50 | glen powell | 930,000 |
| 51 | cynthia erivo | 920,000 |
| 52 | mckenna grace | 910,000 |
| 53 | karoline leavitt | 910,000 |
| 54 | chappell roan | 900,000 |
| 55 | kobe bryant | 880,000 |
| 56 | jelly roll | 870,000 |
| 57 | ghislaine maxwell | 870,000 |
| 58 | erika kirk | 860,000 |
| 59 | scarlett johansson | 860,000 |
| 60 | dolly parton | 860,000 |
| 61 | cardi b | 850,000 |
| 62 | david corenswet | 840,000 |
| 63 | nick fuentes | 840,000 |
| 64 | luka doncic | 830,000 |
| 65 | micah parsons | 820,000 |
| 66 | anthony edwards | 820,000 |
| 67 | tyler robinson | 820,000 |
| 68 | stefon diggs | 820,000 |
| 69 | margaret qualley | 820,000 |
| 70 | tom cruise | 820,000 |
| 71 | megan fox | 820,000 |
| 72 | finn wolfhard | 810,000 |
| 73 | pam bondi | 810,000 |
| 74 | jennifer aniston | 810,000 |
| 75 | anne burrell | 800,000 |
| 76 | scottie scheffler | 800,000 |
| 77 | ja morant | 790,000 |
| 78 | savannah guthrie | 790,000 |
| 79 | jake paul | 790,000 |
| 80 | tom brady | 780,000 |
| 81 | joe keery | 780,000 |
| 82 | brad pitt | 770,000 |
| 83 | sadie sink | 770,000 |
| 84 | dua lipa | 770,000 |
| 85 | malachi barton | 770,000 |
| 86 | keanu reeves | 760,000 |
| 87 | leonardo dicaprio | 760,000 |
| 88 | justin bieber | 760,000 |
| 89 | johnny depp | 750,000 |
| 90 | nick reiner | 750,000 |
| 91 | zendaya | 740,000 |
| 92 | blake lively | 740,000 |
| 93 | isabela merced | 740,000 |
| 94 | tom holland | 740,000 |
| 95 | walton goggins | 730,000 |
| 96 | robert redford | 730,000 |
| 97 | gavin newsom | 730,000 |
| 98 | john cena | 730,000 |
| 99 | nicole kidman | 720,000 |
| 100 | florence pugh | 720,000 |
In almost every industry, there are celebrities, professionals, or influencers that other people want to emulate. For example, an amateur tennis player might want to know which tennis racket Novak Djokovic uses. Or a football player might want to know the boots Trent Alexander-Arnold wears.
In fact, Equipboard has taken this idea seriously and created a site around the gear used by professional musicians.
You can do the same for your industry too.
Here’s how:
- Go to Keywords Explorer
- Enter the names of famous people in your niche
- Go to the Matching terms report
- Filter for keywords related to gears using the Include filter
For example, if I entered the names of professional tennis players (Roger Federer, Emma Radacanu, Rafael Nadal) and filtered for tennis gear keywords (e.g., shoes, racket, wristband, shorts), I see 960 potential keywords I could target. If I were a tennis site, I could create a category page for each celebrity and list out all their preferred equipment.
Another way is to enter a relevant keyword into Keywords Explorer, go to the Matching terms report, and observe keyword patterns. For example, if I were a fitness site, I could enter “weight loss” into Keywords Explorer.
The first thing I’ll notice is that many people are actually interested in how certain celebrities lost their weight. The second thing I notice is that the keywords all form a pattern: [first name][last name] weight loss.
As such, I can use the Word count filter to look for keywords that have 4 words, which gives me a list of celebrity-related weight loss keywords:
Want to do keyword research for your site? Sign up for Keywords Explorer.
