AI prompt intent, not keywords, boosts brand visibility: Study

Image credit: Search Engine Journal

A new study by Peec AI found that the underlying intent of an AI prompt significantly outweighs exact keyword usage in determining brand visibility within AI search engines.

The research suggests marketers should prioritize understanding user intent over precise keyword optimization for AI-powered discovery, indicating a shift in traditional search engine optimization strategies.

Peec AI analyzed 1,754 distinct prompts and 37,804 AI responses across various platforms, including ChatGPT, Gemini, Perplexity, Google AI Mode and Google AI Overviews, according to the study.

The study reported that more than 90 percent of prompt variations shared very similar meanings, underscoring that the core intent of a query is more critical than its specific wording for generating brand mentions.

Certain prompt styles, such as concise keyword lists or direct requests for lists, could increase brand mentions by up to 20 percent when compared to more open-ended questions, the study indicated.

Brand visibility was most affected by wording variations in middle-of-funnel, unbranded commercial discovery queries, where users are exploring options without specific brands in mind, Peec AI said.

The study found that brand visibility remained stable as long as the semantic similarity between prompts stayed above 0.50 to 0.60 cosine similarity.

However, brand mentions dropped significantly, by approximately 50 percent, when the semantic similarity fell below 0.39, according to the findings.

Peec AI utilized semantic embeddings and cosine similarity to quantify the semantic distance between prompts, rather than relying on traditional exact keyword matching methods, the organization reported.

Rand Fishkin, a prominent figure in the SEO industry, has previously highlighted the increasing importance of semantic understanding in search algorithms, a trend reinforced by this study.

The findings have significant implications for digital marketers, suggesting a need to adapt content strategies to align with the semantic understanding capabilities of AI search engines rather than solely focusing on keyword density.

Source: Search Engine Journal