HubSpot has launched the AI Search Grader, a groundbreaking free tool that assists brands in evaluating their presence within large language models (LLM) and AI-driven search environments. As generative AI technologies, such as chatbots, gain traction—usage has surged by 37%—traditional search engines have seen an 11% decline. This recalibration in user behavior underscores the urgent need for marketers to adapt their strategies.

Recognizing the intricate landscape of AI searches, HubSpot’s AI Search Grader aims to bridge the knowledge gap that often hampers brands in optimizing their visibility in this new domain. Nicholas Holland, VP of Product and GM of Marketing Hub at HubSpot, stated, “What marketers have been doing for years to attract customers won’t be as effective in the future.” This assertion reflects the changing dynamics of customer engagement, as the reliance on traditional search methods wanes.

The AI Search Grader is designed to simplify what was once a laborious manual process of assessing a brand’s performance based on AI-driven searches. Marketers can now easily gauge their metrics with its four key components: an overall grade, brand sentiment score, share of voice score, and personalized analysis. These features collectively empower marketers to transition from traditional SEO to what HubSpot terms Language Model Optimization (LMO).

Incorporating sophisticated “prompt engineering,” the tool crafts tailored inquiries that reveal valuable insights about brand performance in AI searches. This automated approach minimizes the need for specialized knowledge while maximizing the actionable intelligence available to businesses.

As brands navigate this shift towards AI-centric interactions, the AI Search Grader exemplifies the resources necessary for maintaining visibility. With its global accessibility in English, HubSpot continues to provide marketing solutions that drive growth in a landscape where AI technologies are rapidly reshaping consumer behavior and expectations.