The rise of generative AI has transformed traditional SEO, which needs to keep up with the times in the world of AI search.
Gartner predicts that traditional search engine volume will decrease 25% by 2026, with search marketing losing market share to AI chatbots and other virtual agents.
With generative AI growth accelerating in Asia Pacific, marketers know they need to optimize for AI-powered search, yet many are only getting a fraction of the insights they need from manual testing.
This is why HubSpot is launching its AI Search Grader – the first free tool that helps brands understand how they show up in large language models (LLM) and AI search – to take the guesswork out of getting discovered in AI searches.
Marketers today 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.
AI Search Grader eliminates the need for AI expertise through prompt engineering for marketers and contextualises their brand’s performance to make Language Model Optimisation simple.
With AI Search Grader, 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.
