Callaway parts ways with Good Good after creator ad backlash

Callaway has ended its partnership with the creator company Good Good Golf after a social media ad sparked massive criticism. The spot, published on 21 August and deleted shortly afterwards, showed Good Good co-founder Garrett Clark in a scene that many viewers understood as trivializing violence against women.

Callaway then stated that its own content review process had not been comprehensive enough, ended the collaboration with Good Good with immediate effect, and announced 1 million US dollars for organizations that prevent violence against women and support those affected. Further consequences included Good Good's withdrawal as title sponsor of a PGA Tour event and, in early September, the departure of CEO Matt Kendrick and President Joe Flannery.

The problem did not lie only with the creator

For social media marketing, the case is especially interesting because of the approval chain. Callaway CEO Chip Brewer admitted that Good Good had produced the video, but that Callaway approved its publication. It was therefore not a situation in which a creator published content on their own without the brand's knowledge.

Especially in large creator partnerships, production, distribution and brand responsibility quickly blur. A contract on creator usage rights and paid usage does regulate where content may be used. However, it does not replace a clear approval process for the specific creative.

Equally important is the question of who bears final responsibility. Our UGC guide on rights and labeling covers the formal side. The Good Good case additionally shows that brand safety and content approval must be defined just as cleanly at the organizational level.

AI test identified the risk immediately afterwards

Adweek had the spot tested after the controversy by market research provider Zappi with 150 synthetic AI respondents. The creative received the lowest possible score there, 1 out of 5. The simulated reactions flagged the physical scene as a problem and recommended softening it or framing it more clearly as playful.

This is not proof that synthetic audiences can reliably predict every later crisis. The test was conducted retrospectively, and the Adweek article was written by Zappi's CMO himself. As a low-cost early warning mechanism, however, the approach is noteworthy: an automated pre-check can flag conspicuous creatives before people make the final decision.

The more sensible conclusion is therefore not to replace human approvals with AI. Brands can rather use AI as an additional control layer that escalates unusual or potentially risky content for renewed review.

Gartner: brand personality becomes a governance layer

A new analysis by Gartner VP Analyst Julie Reeves uses the Callaway case as the occasion for a second point: brands should treat brand personality not just as tone, but as a governance rulebook. Positioning answers what a brand stands for. Personality, by contrast, defines how it should actually behave in social posts, creator partnerships, campaigns and customer contact.

Generative AI makes this more relevant. The more variants, assets and channels a marketing team operates simultaneously, the less realistic fully manual individual review becomes. Clear behavioral and tonal boundaries can then serve as a shared filter for internal teams, agencies, creators and AI-supported workflows.

The underlying Gartner research shows how strongly the pressure to change is now assessed: in a 2025 survey of 426 business leaders, 82 percent said their company's identity must change significantly to keep pace with the effects of AI on markets. A separate Gartner survey of 402 senior marketing leaders found that 65 percent expect significant changes to their CMO role due to AI within two years.

For brands, this does not mean needing even more abstract brand-book adjectives. Concrete rules are helpful: Which kinds of humor fit the brand? Which boundary crossings are excluded? When does a creator cut need a second approval? Which AI-generated variants may run automatically, and which must be escalated?

Creator speed requires faster control processes

Creator marketing thrives on content being created faster and closer to the platforms than classic campaigns. That is exactly why the review process must keep up with this speed. If every approval takes several days, the collaboration becomes impractical; if no one is ultimately responsible, the risk rises.

Chipotle currently demonstrates the counter-model: for its new campaign, the brand had 100 creators produce material in more than 50 restaurants, and then uses the material in a controlled way across TikTok, Reels, Shorts and TV. Our article on Ghost Creators additionally shows why separating content production from distribution makes clear briefings and checkpoints even more important.

For marketers, the Callaway case can be reduced to a simple rule: creator freedom and AI scaling need a clearly named final approval authority as well as clear brand boundaries. Automated risk checks can help, but the decision and responsibility should stay with people.

The problem did not lie only with the creator

AI test identified the risk immediately afterwards

Gartner: brand personality becomes a governance layer

Creator speed requires faster control processes

Sources