LLM Visibility & Optimization

A B2B software company specializing in supply chain management tools conducted an LLM presence audit across five major AI systems in mid-2024, using a proprietary query framework developed by their SEO team. The audit revealed that the brand was mentioned in fewer than 15% of relevant category queries across ChatGPT, Perplexity, and Google SGE, despite holding a top-three organic search position for its primary keywords. Competitor analysis showed that two rivals with stronger third-party review site presence and more extensive analyst report coverage were mentioned in more than 60% of equivalent queries. The team implemented a structured content program targeting FAQ-formatted pages addressing common buyer questions, pursued placement in three industry analyst reports, and optimized entity markup across product pages. A follow-up audit six months later showed brand mention rates had increased to approximately 35% across tested LLM systems, according to an account shared at the 2024 MnSearch Summit.

In the consumer sector, Procter & Gamble's digital marketing team reported at the 2024 Advertising Week conference that the company had begun tracking AI answer engine brand representation as a distinct KPI alongside traditional search rankings, reflecting recognition that category-level AI recommendations were influencing consumer consideration at the top of the purchase funnel in ways that organic search data did not capture.