What the NFL AI Endorsement Index Taught Me About Kickoff

The NFL AI Endorsement Index 2026, the study 5W and Talent Resources released on August 26, scores 50 NFL players on how ChatGPT, Claude, Gemini and Perplexity answer sponsor-facing questions ahead of the September 9 season opener. Five players capture 61% of every endorsement-intent citation we tested, and that number should worry more general managers of endorsement portfolios than it currently does.

Why did five players capture 61% of the citations we tested?

Patrick Mahomes, Josh Allen, Travis Kelce, Sam Darnold and Kenneth Walker III are not the five most talented players in the NFL. They are the five players AI engines have decided to treat as the default answer to "who should a brand sign." I have spent decades in this business watching fame and commercial value drift apart, and I have never seen the gap open this fast, in this few names, this early in a season.

Mahomes leads the field with a Citation Share Score of 97. Allen sits at 94, Kelce at 91. All three draw consistent, favorable answers across every engine we tested, which is a different achievement than being famous. Fame gets you recognized. A structured, dated, retrievable record is what gets you named first when a model has to pick one answer.

What surprised me most in the data?

Thirty of the 50 players we tested score in the lowest AI visibility tier. Some of those players had Pro Bowl seasons. None of that mattered to the four AI engines we queried, because none of it had been documented in a way the engines could retrieve. I built a career on the idea that a good story needs a distributor. The distributor changed. It is no longer just a journalist or a producer deciding what runs. It is a model deciding, in milliseconds, whether your client's name belongs in its answer at all.

Why does the kickoff rematch change the picture?

The Seattle Seahawks and New England Patriots open the season on September 9 in a rematch of Super Bowl LX, and six players from those two rosters show up disproportionately in our data. Four of them, Darnold, Walker, Cooper Kupp and Drake Maye, rank in the top eleven of the whole 50-player field.

Patriots cornerback Christian Gonzalez, who forced two turnovers in that Super Bowl, scores a 57. Seahawks kicker Jason Myers, who made five field goals in the same game, a Super Bowl record, scores a 12. Same game, same team, and a 45-point gap between them. That gap is the entire argument for this Index in one comparison: recent, widely covered achievement moves the needle for a quarterback or a receiver in a way it does not for a kicker, no matter the record.

What does Talent Resources' Dunkin' campaign prove about this shift?

Mike Heller and I have worked the same territory from different sides of the table for years, his side building the celebrity relationship, mine building the AI-era visibility around it. Talent Resources brokered Dunkin's first-ever Super Bowl commercial with Ben Affleck in 2023, and Dunkin' has run a star-studded Super Bowl spot every year since. That partnership worked because Talent Resources understood exactly which relationship would make a brand relevant, not just recognizable.

The AI engines answering questions about NFL sponsorships today are running the same calculation Heller's team has been running for two decades. They are just running it in milliseconds, and right now most of the NFL is losing that calculation without knowing the game is being played.

What should a brand do with this before kickoff?

Check whether the athlete you are about to sign is the one ChatGPT and Perplexity name when a marketer asks who to sign, not the one your scouting report says should be named. Seventeen percent of the answers in our study cited a sponsor deal that had expired, been renegotiated, or never existed at all. That is not a small error rate for systems now doing informal due diligence before your deal ever reaches a table.

Document the deal, date it, and give the model something current to retrieve, or accept that it will keep citing whatever it found last. The full Index, with the complete 25-player ranking and methodology, is at 5wpr.com's NFL AI Endorsement Index 2026.

5W runs AI Search (GEO) programs for brands across consumer, B2B, financial services, healthcare, and technology — building the machine-readable footprint that gets brands cited, not just ranked. Learn more at 5W's GEO optimization practice.