AdLift is a global digital marketing agency that has recently announced the launch of its new feature called ‘Sentiment Analysis,’ which is a part of its proprietary AI-based visibility platform named ‘Tesseract.’ The new feature is aimed at helping brands gauge the sentiment of their brand by leveraging AI-based search and discover experiences.
As the search experience is being driven by AI, the perception of the brand is being formed even before the user lands on the brand’s website. Industry trends show that the search experience is ending without the user even clicking on the brand’s website, with over 60% of search experiences being concluded this way.
This shift has made sentiment measurement more critical-and more complex-than ever before.
Traditional sentiment tools often analyze the tone of entire articles or content pages rather than focusing specifically on how the brand itself is represented. This can lead to misleading perception metrics and inaccurate reporting.
AdLift’s new framework aims to solve this issue through a more structured, brand-centric methodology tailored for AI-influenced discovery environments.
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A More Precise Approach to Brand Sentiment
Unlike conventional monitoring solutions, Tesseract’s advanced Sentiment Analysis is designed to isolate brand-specific perception signals.
The framework introduces three key methodological improvements:
- exclusion of content where the brand is not explicitly mentioned
- sentiment scoring based solely on direct brand references
- sentiment calculations based on total brand mentions instead of overall content volume
This focused approach reduces noise and eliminates distortions that often arise when sentiment is measured across unrelated content contexts.
By concentrating exclusively on how a brand is discussed, the platform provides clearer, more defensible insights for executive reporting and strategic decision-making.
Structured Sentiment Classification
The new feature classifies brand sentiment into distinct categories designed for reputation intelligence and leadership reporting.
Positive sentiment is assigned when the brand appears in positive or neutral contexts that reflect:
- trust
- market leadership
- innovation
- growth
- customer value
Negative sentiment is applied only when the brand is directly associated with criticism, customer complaints, reputational concerns, or other risk indicators.
This classification model enables brands to assess not just visibility, but the quality of that visibility across digital ecosystems increasingly influenced by AI.
Strategic Use Cases for Modern Brand Teams
The advanced Sentiment Analysis feature is built to support multiple high-value business use cases, including:
- reputation management
- competitive benchmarking
- AI visibility audits
- campaign impact measurement
- media risk assessment
These capabilities are particularly relevant as organizations adapt to search ecosystems shaped by ChatGPT, Gemini, Perplexity, and other generative platforms.
“With AI Overviews and large language models influencing brand discovery, perception can no longer be measured loosely,” said Prashant Puri, Co-Founder and CEO at AdLift. “We built this framework to remove noise and give brands precise, defensible intelligence they can confidently present in the boardroom.”
Arron Goodin, Managing Director, AdLift Inc., said, “Our AI-powered Sentiment Analysis feature marks a step forward in helping brands move beyond data to real understanding-enabling faster, sharper, and more human-centric marketing decisions.”
Strengthening AI Visibility Monitoring
Tesseract currently tracks brand presence across major AI-powered discovery environments, including Google AI Overviews, ChatGPT, Gemini, Deepseek, and Perplexity.
The addition of advanced Sentiment Analysis strengthens the platform’s position as a specialized AI visibility and brand intelligence solution built for the evolving search landscape.
As AI increasingly becomes the first point of brand discovery, tools that measure not only presence but perception are becoming essential for enterprise marketing and reputation teams.