Amplitude Unveils AI Visibility: Revolutionizing Brand Presence in the AI Era

On October 30, 2025, Amplitude, the San Francisco-based digital analytics company, introduced its groundbreaking feature, AI Visibility. This new tool empowers marketers with a clear view of how their brands are positioned across major AI platforms, such as ChatGPT, Claude, and Google AI Overview. Notably, this feature is integrated directly into Amplitude’s core platform, allowing users to seamlessly connect AI search presence to vital metrics like traffic and conversion data without needing any additional applications.

The Shift in Consumer Discovery Patterns

The launch of AI Visibility comes at a crucial juncture as consumer behavior rapidly evolves. More users are turning to conversational AI systems for product research and making purchasing decisions. Amplitude reports that AI search adoption has doubled over the past year, with many consumers now asking for recommendations from platforms like ChatGPT instead of relying on traditional search engines like Google. This dramatic shift presents visibility challenges for brands trying to reach customers through AI-mediated discovery channels.

Tifenn Dano Kwan, Chief Marketing Officer at Amplitude, encapsulates this trend succinctly: “AI search is the new front page of the internet, and most brands don’t even know if they’re showing up.” AI Visibility acts as a radar for this new digital landscape, equipping brands not only with insights but also actionable steps to enhance their visibility in these critical channels.

Unique Features of AI Visibility

AI Visibility is distinguished by how it integrates behavioral analytics with AI search data. Traditional AI search optimization tools often function independently from conversion analytics systems. However, Amplitude’s new tool connects visibility metrics to actual business outcomes, allowing marketing teams to evaluate whether visits generated through AI searches translate into conversions, retention, or revenue.

The tool incorporates several distinct features:

• Visibility Score: This metric quantifies how often a brand appears in AI responses across major platforms by analyzing hundreds of prompts to establish a baseline level of presence.
• Traffic and ROI Tracking: This capability links AI mentions directly to user behavior and conversion outcomes, enabling meaningful attribution that shows the financial impact of AI search exposure on business results.
• Prompt and Source Analysis: Identifies specific content and sources referenced by AI models. This information is invaluable for identifying gaps in visibility and optimizing search strategies.
• Competitive Ranking: This feature compares a brand’s visibility against competitors across various query types, highlighting areas where others may dominate AI recommendations.

Through these functionalities, marketing teams can proactively enhance their brands’ discoverability and engagement in AI search results.

Actionable Insights and Future Developments

The AI Visibility tool doesn’t just stop at providing metrics; it offers actionable recommendations. Marketing teams can analyze specific web pages to receive guidance on improving chances of appearing in AI responses. Simulated projections show potential changes and content suggestions designed to boost brand representation across large language models.

Moreover, Amplitude plans to introduce sentiment analysis within the tool in an upcoming release. This feature will assess how users feel about brands across different AI platforms, giving marketers crucial insights into not just visibility but also brand characterization.

Industry Response and Competitive Landscape

Amplitude’s announcement came amid significant movements within the industry, as various companies began launching their own AI visibility tools. Just weeks prior, Adobe launched its LLM Optimizer, while Ubersuggest and Zeta Global also introduced AI search optimization features. This surge of activity underscores a broader recognition that AI search constitutes a vital marketing channel requiring specialized measurement approaches.

Additionally, recent predictions by Gartner indicate that traditional search engine query volumes are set to decline by 25% in 2026 as AI systems become the preferred method for information retrieval. According to Bain & Company, 80% of consumers currently utilize generative AI for around 40% of their searches, emphasizing the pressing need for brands to adapt their visibility strategies beyond conventional search engine optimization (SEO).

Navigating the New Search Landscape

AI search platforms operate differently from traditional search engines, utilizing methods like Google’s query fanout technique, which breaks user requests into multiple related searches executed in parallel. Unlike conventional SEO, which relies on keyword matching and page rankings, AI platforms synthesize information from a variety of sources, demanding that brands present content in easily accessible formats.

Research shows that traffic generated from AI searches converts at unprecedented rates—23 times higher than traditional organic search, despite representing only 0.5% of total visits. This highlights the effectiveness of AI platforms in pre-qualifying visitors with detailed product information, improving match quality between consumer intent and landing page content.

However, as traffic dynamics shift, brands must adapt. Google’s analysis of "The Great Decoupling" phenomenon reveals that while websites now receive significantly more impressions, click-through rates are decreasing. When AI systems provide direct answers within search results, users may not even visit source websites, further complicating traffic patterns.

Amplitude’s Commitment to Visibility and Integration

Amplitude addresses these complexities by integrating AI visibility measures within its behavioral analytics framework. Marketing teams can assess whether users exposed to AI-generated content are engaging differently than those driven by traditional channels, enhancing understanding of customer interactions across all touchpoints.

Crucially, AI Visibility is available at no extra cost for all Amplitude customers, regardless of subscription level. This strategy is in stark contrast to competitors who charge additional fees for similar features. A limited free version is also being introduced for companies that are not yet Amplitude subscribers, which serves to educate them about AI visibility challenges and potentially convert them into paying customers.

Seamless Adoption Process

For existing Amplitude users, implementing AI Visibility requires no technical infrastructure changes. This integration allows teams to access AI visibility metrics alongside existing data seamlessly, minimizing the friction often associated with adopting new marketing technologies.

Further, the free tier serves multiple strategic purposes. It not only generates awareness of AI search visibility challenges but also demonstrates the value of comprehensive AI search monitoring, potentially leading free users to seek deeper analytics integration as they recognize gaps in their brand presence.

Enhancing Brand Management

As brands become more entrenched in the digital landscape dominated by AI, tools like Amplitude’s AI Visibility are essential. They offer a holistic view of brand presence in AI-powered searches, enabling teams to prioritize tactical adjustments and measure their impact effectively. The planned sentiment analysis will further enhance brand management strategies, allowing trust and integrity to guide content optimization efforts.

A consistent narrative emerges: as AI search technologies advance, brands must adjust their strategies dynamically. The introduction of specialized tools by Amplitude and other industry players signals an acknowledgment of this new reality, emphasizing a strategic, data-driven approach to maintaining brand visibility in an AI-first world.