How To Increase Brand Visibility by Increasing Machine Confidence
A shift is underway in the world of commerce as the consumer journey is becoming increasingly AI-mediated. Consequently, building brand awareness requires developing marketing strategies that are optimized for how AI now guides potential customers to brands that can meet their needs.
Boosting machine confidence is one key to optimization for brands that are marketing through search engines, social media platforms, and other spaces where AI search is used. Search results no longer focus on a list of possibilities consumers must sort through. Rather, consumers get an AI overview with recommendations that are heavily influenced by machine confidence.
“If businesses want their digital marketing to be effective today, it's paramount that they address machine confidence,” says Jason Mann, Founder of STOCK. “The best strategy is the one that meets consumers where they are, which is a target that is always shifting. Brands once lived and died by newspaper placements; then radio arrived, then television, then social media, and so on. AI is just the next evolution.”
STOCK is a commerce-first marketing agency built to help brands grow where customers actually shop. Its cross-functional, senior-only commerce team specializes in large language model optimization, paid media management, social media management, and retail growth.
Mann is a Certified Equity Professional (CEP)-turned commerce strategist with over a decade of experience spanning entrepreneurship, corporate operations, and industry thought leadership. In addition to leading at STOCK, he is a former international rugby player for the Philippine Volcanoes, Chief Growth Officer of The Players Company, and an advisor to Slice Global Equity (backed by Insight Partners) and Equity Admin Co.
Data integrity lays the foundation needed to increase brand visibility
Machine confidence is a key metric that AI uses to determine what information it will provide in response to a query. Where traditional search connected consumers with a list of relevant pages or social media posts, AI search seeks to provide a synthesized answer. Machine confidence determines what content will be included in that answer.
Getting brand mentions in query results involves increasing the confidence AI has in the brand. If, for example, content on an activewear brand doesn’t convince AI that the brand is economical and reliable, then it won't include that brand in its response to a query about affordable workout gear that is built to last.
Data integrity is critical to boosting brand awareness through AI search. Brands need to provide structured data that enables AI to fully understand what they have to offer. When content provided by brands is echoed by consumers and third-party authorities, AI's confidence increases.
“Essentially, increasing machine confidence goes back to the basic marketing principles of experience, expertise, authoritativeness, and trustworthiness, commonly known as E-E-A-T,” Mann explains. “There are some nuances, of course, but those four pillars are just as important to machine confidence as they were to traditional search.”
Consistency improves machine confidence and increases brand awareness
Mann also says brands that want to increase awareness through AI search need to commit to consistency across channels. Brand visibility strategies must cover the content shared on websites, business profiles, social media channels, and paid advertising. If the content doesn't send a consistent message, it won't drive strong brand visibility.
“LLMs love redundancy,” Mann says. “If it sees conflicting information about your brand, its confidence drops. Having a consistent message across all of your marketing channels is important to ensure LLMs can be confident about who you are and what you do.”
As brands develop their messaging strategies, it's important that they craft content AI can easily ingest and understand. Emotional pleas and buzzwords don't help AI understand your brand. Sticking to the facts in an AI-friendly way reinforces who you are and why your products or services are the best solution.
“The biggest and most frequent mistake I see when it comes to boosting brand visibility is failing to understand how to write for machines,” Mann says. “Content now requires more technicality than it did in the past. It’s not enough to ensure everything looks good on the front end. You need to understand the backend, where the schema and the other structured data that influences AI are found.”
Maintaining machine confidence requires flexible strategies that evolve with AI
Gaining an edge in today's AI-mediated commerce landscape requires optimizing for machine confidence by focusing on data integrity and content consistency, but keeping that edge requires more. Brands must stay flexible and alert to the changes in the marketplace, acknowledging that AI and its impact on brand awareness are rapidly evolving.
“We live in an interesting time when the digital marketing landscape is evolving very quickly,” Mann shares. “What may be effective today for boosting brand visibility may not be tomorrow. To stay ahead, brands must keep their pulse on the latest advances and be ready to adapt.”