HubSpot has unveiled its AI Search Grader, a pioneering free tool designed to assist brands in assessing their presence within large language models (LLM) and AI-driven searches. This launch responds to the staggering rise in generative AI tool usage, particularly AI chatbots, which have grown by 37% for answering questions, while traditional search engines have faced an 11% decline.

Marketers are increasingly aware of the need to adapt their strategies for this new search paradigm yet often lack the insights necessary due to manual testing methods. The AI Search Grader aims to bridge this gap, guiding brands toward what HubSpot refers to as Language Model Optimisation (LMO). Nicholas Holland, HubSpot’s VP of Product, emphasizes the urgency for marketers, stating that methods effective in the past will no longer yield the same results in the rapidly shifting landscape.

This user-friendly tool replaces cumbersome traditional methods of testing AI search presence, streamlining the information-gathering process. Featuring an overall grade, brand sentiment score, share of voice score, and personalized analysis, the AI Search Grader offers an in-depth assessment of a brand’s performance in AI search spaces. Marketers no longer need extensive AI expertise or guesswork to interpret their results.

Automating “prompt engineering” stands at the heart of the AI Search Grader, generating targeted questions that reveal brand performance insights in the AI domain. As AI increasingly shapes consumer experiences, tools like HubSpot’s AI Search Grader ensure that marketers remain relevant and visible amid these rapid changes, allowing them to connect with customers effectively.

This innovation reflects HubSpot’s commitment to equipping businesses with essential marketing tools, marking a significant step forward for brands navigating the AI-centric future of search.