Amplitude Launches AI Visibility to Help Marketers in AI Search

Staff Writer less than a minute ago

Amplitude, the digital analytics platform, has announced the launch of AI Visibility, a new capability that gives marketers unprecedented insight into how their brand shows up in AI search results, accompanied by recommendations on how to improve it based on a company’s actual data.

As consumers shift from traditional search engines to AI assistants like ChatGPT and Claude— or rely on tools such as Google AI Overview—brand discovery is being fundamentally reshaped. 

In fact, AI search adoption has doubled in the past year as more consumers ask ChatGPT or Claude for software or product recommendations than Google. However, these AI tools often recommend only a handful of products in response to a user’s query. 

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If a brand isn’t listed, it’s invisible, and high-intent customers may go straight to competitors.

Amplitude’s new AI Visibility offering addresses this challenge. It shows where a brand appears across major AI platforms, how often competitors are recommended instead, and guidance to improve AI search presence—all directly integrated into Amplitude’s digital analytics platform. 

Unlike niche SEO tools, Amplitude shows whether those AI-generated visits result in real conversions, retention, or revenue.

“AI search is the new front page of the internet, and most brands don’t even know if they’re showing up,” said Tifenn Dano Kwan, Chief Marketing Officer at Amplitude. “AI Visibility gives companies a radar for this new reality. We not only make them aware, we also help them to take action to improve right away.”

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Amplitude’s AI Visibility includes:

• Visibility Score: Quantify how often a brand appears in AI responses across all major LLMs and hundreds of prompts.
• Traffic & ROI Tracking: Connect AI mentions to actual user behaviour and conversion outcomes within Amplitude’s platform.
• Prompt & Source Analysis: Identify where a brand is not showing up, uncovering the content and sources that AI models use to generate their answers.
• Competitive Rankings: See how a brand stacks up against competitors and where it’s falling behind.
• Actionable Recommendations & Next Steps: Analyse any web page, receive recommendations on how to improve pages, view simulated changes, and generate content to improve how a brand shows up across LLMs.
• Sentiment Analysis: Coming soon, gauge user sentiment about a brand across LLMs, helping to improve its online presence.

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