When Google released their Analytics platform in the early 2000s, the traditional playbook businesses had used to market themselves, demonstrate credibility and measure those efforts had to be completely reworked. 

And here we go again. 

In the years that have passed since the launch of Google Analytics, tech experts have been working diligently to take us to the next level – to harness, organize and act upon volumes of data. 

Enter artificial intelligence (AI). 

What was once a game of improving a business’ search engine optimization (SEO) ranking through keywords, backlinks and other factors, has now evolved into a new challenge of demonstrating credibility to the Large Language Models (LLM) that are fast becoming the first stop for many in how information is discovered and understood. 

The rise of AI search 

According to a survey by McKinsey & Company, 50% of consumers were using AI-powered search as of October 2025. As AI tools become more sophisticated, that percentage is likely to rise, making it critical that brands begin addressing their AI search credibility. With this increase in popularity, business leaders will find that consumers assess their business’ authority and trustworthiness based on AI’s interpretation of the organization’s online presence. 

Platforms like ChatGPT or Google Gemini pull from a wealth of data points that analyze brands based on factors such as how often a brand is mentioned in the media, expertise on a subject and more. In short, AI platforms depend on third-party credibility to rank trustworthiness. 

Measuring trust 

The data points and rules in place for AI platforms to analyze information are constantly changing based on a multitude of factors. However, because the internet is flooded with generic and increasingly less credible AI-generated content, AI platforms tend to prioritize third-party validation. Thought leadership content, interviews and mentions on reputable media sites including national, regional, business and industry trade press are considered highly credible by AI platforms and feed search summaries. 

LinkedIn is another area AI is increasingly prioritizing for search queries. However, AI search algorithms rely more on how other users reference and interact with a brand across LinkedIn including posts, newsletters, articles, videos and more rather than the LinkedIn posts a business publishes on their own page. 

AI is a moving target

As business leaders look to better understand AI-powered search and improve their brand’s credibility in search queries, they should keep in mind that the technology is ever changing. 

Beyond the platform updates and expanded capabilities, regulatory scrutiny is shaping the future of AI search and will likely continue to do so for years to come. But that should not discourage businesses from investing in their online presence. In fact, it makes a strong case for continued or even additional investment in earned media coverage, thought leadership, owned content and more. Beyond AI-powered search, these communication channels offer businesses more control of their company narrative and their reputation. 

While business leaders cannot manipulate how AI platforms respond, they can have a hand in some of the authoritative information online about their company that is feeding AI’s algorithms. As AI search evolves, the companies investing in building credibility through earned media, thought leadership and thoughtful owned content are building a digital reputation best positioned for success now and into the future.