HubSpot Launches AI Search Grader
HubSpot’s AI Search Grader analyses brand awareness and sentiment across AI chatbots as more customers turn to tools like ChatGPT for search.
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Customers and prospects are ditching traditional search in favour of researching with AI for quick, personalised answers. In fact, usage of tools like ChatGPT to answer questions is up 37%, while search engines are down 11%. For marketers who’ve been focused on getting their brands discovered with SEO, now is the time to master a new craft: Language Model Optimization (LMO).
“At HubSpot, we’ve always given marketers the tools they need to connect with their customers and drive growth. We did it with our Website Grader that helped millions of marketers optimise for search engines. And we’re doing it today with the launch of AI Search Grader, the first free tool that helps brands understand how they show up in Large Language Models (LLM) and AI search,” the company said in their announcement.
“What marketers have been doing for years to attract customers won’t be as effective in the future. People just aren’t using traditional search like they used to,” said Nicholas Holland, VP of Product and GM of Marketing Hub at HubSpot. “As the tides are turning toward AI search, we want to help marketers stand out and get discovered in this new environment. That’s exactly what AI Search Grader will give marketers – a new, free way to connect with their customers in the AI era.”
AI Search Grader Takes Marketers from SEO to LMO
Today, marketers are manually testing how their brands are showing up in AI search: visiting different experiences, crafting specialised prompts, aggregating responses, and synthesising results – all just to get a fraction of the information they need. And there’s little guidance to help them act on what they find.
HubSpot’s AI Search Grader eliminates the need for AI expertise, and takes the guesswork out of how a brand is showing up in AI search. It does prompt engineering for marketers and contextualises their brand’s performance to make LMO simple.
AI Search Grader includes four key components: overall grade, brand sentiment score, share of voice score, and personalised analysis.
Brands are assessed on:
- Brand sentiment: Looks at language used in AI responses to help marketers understand how their brand is being discussed and perceived.
- Share of Voice: Measures brand visibility compared to competitors in the same category.
- Personalised analysis: Enables marketers to learn what they’re doing well and easily spot where they need to improve to increase their brand awareness and sentiment.
AI Search Grader is free and globally available in English for any marketer to use.
