AI is about to kill ‘TikTok expert culture’ and rewrite how businesses earn trust, a marketing expert warns. This is because AI-led search and decision tools are reshaping credibility, visibility and brand authority across industries
As an example, the launch of ChatGPT Health, an AI system designed to deliver answers grounded in real data, verified sources and user records — marks a turning point in how artificial intelligence decides what information, and which brands, can, generally, be trusted.
According to Sophie Rhone, founder of Cupid PR, this shift signals the beginning of the end for what she describes as “TikTok expert culture” — a credibility model built on visibility, speed and influence rather than validation.
“When AI systems start grounding answers in verified data and real records, unsubstantiated advice becomes a liability,” Rhone tells Digital Journal. “This isn’t about social media trends — it’s about risk management. And AI is being trained to reduce risk.”
Why this matters now
AI is no longer confined to search snippets or chat interfaces. It is increasingly embedded into search engines, shopping journeys and advisory tools — acting as a gatekeeper, not a neutral index. Platforms are moving from showing users options to making recommendations.
“That changes the rules completely,” Rhone explains. “If AI doesn’t trust a brand, it doesn’t get surfaced — regardless of how visible or popular it may be elsewhere.”
What’s changing in search and discovery
Rhone identifies three structural shifts now reshaping how businesses are found and evaluated:
Search is becoming selective: AI-driven results increasingly summarise, shortlist and recommend rather than present endless pages of links. Fewer brands are shown — and weak trust signals are filtered out early.
Authority is overtaking traditional SEO signals: While technical SEO still matters, AI systems are placing greater weight on: Named, recognised expertise, consistent third-party media mentions, and credible brand sentiment across authoritative sources.
“You can still have ‘good SEO’ and yet disappear from AI summaries entirely,” Rhone clarifies. “That’s where many businesses will be caught off guard.”
Influence without validation is losing value: AI platforms are under pressure to reduce misinformation and commercial risk. As a result, influencer reach without professional or third-party validation is increasingly being deprioritised.
“This isn’t just about health or beauty,” Rhone adds. “It applies to finance, legal, travel, property, tech — any sector where advice or trust influences decision-making.”
Why ‘TikTok expert culture’ is under threat
According to Rhone, AI systems are actively moving away from brands built on:
- Thin, trend-led content
- Self-declared or anonymous ‘experts’
- Influencer-first credibility with no independent validation
Instead, they favour businesses that demonstrate:
- Real experts with verifiable credentials
- Regular commentary in trusted publications
- Independent authority signals beyond owned channels
Rhone warns that the impact of disappearing from AI-led discovery is often silent: “When brands fall out of AI recommendations, there’s no obvious ranking drop. Traffic softens, consideration declines, conversions slow — and leaders struggle to pinpoint why.”
She adds that over time, that erosion of visibility can directly affect revenue, brand equity and long-term growth.
What businesses should do now
Rhone advises leadership teams to reassess how trust is built across the entire organisation — not just through marketing — as AI systems move towards verified, data-grounded decision-making. Recent developments such as ChatGPT Health underline the direction of travel: credibility is becoming a prerequisite, not a differentiator.
Rhone recommends that firms treat PR as a core search visibility and trust channel, not a brand add-on. This is in the context of AI systems increasingly rely on third-party validation rather than owned messaging when deciding which brands to surface.
Rhome also says that firms should invest in genuine expert positioning, not anonymous content or influencer-led authority. These would be named experts with real credentials act as risk-reduction signals for AI platforms.
Businesses should also build consistent, credible media coverage AI systems that can reference mentions in trusted publications now function as discoverability and trust signals, not just awareness, Rhone adds.
She also advises firms to audit product claims, advice and messaging for credibility risk. This is because as AI grounds answers in verified data and records, vague claims and overstatements are more likely to be filtered out. It is also important to align legal, compliance and marketing teams early and to reduce reliance on trend-driven content with no validation.
