Ad intelligence depends on strong data, but the bigger challenge is turning that data into clear, usable answers. Teams still spend too much time navigating reports, applying filters, exporting charts, and translating findings for stakeholders who do not work inside the platform every day. The result is a familiar bottleneck: analysts become the gatekeepers of insight, while the rest of the organization waits for answers.
That is the shift behind the new AdClarity AI Suite from BIScience. Instead of just adding another layer of features on top of existing dashboards, AdClarity is changing how users work with ad intelligence in the first place. The platform now combines two AI experiences inside one workflow: a conversational AI Chatbot that answers natural language questions on AdClarity data, and AI Insights that proactively surface key takeaways directly inside reports and widgets.
From Manual Analysis to Natural Language Answers
Most teams do not need more menus and options. They need faster answers. That is where the AdClarity AI Chatbot changes the experience. Users can now ask questions in plain language, such as who is winning in CTV ads in 2026 in the US or how a competitor’s channel mix changed last quarter, and get a structured answer in seconds.
The answer is not just a line of text. It can include key findings, tables, charts, context indicators, and guided follow-up questions that let users drill deeper without starting from scratch. BIScience estimates that this experience can cover 85% of the work that previously required a data analyst. For organizations used to long reporting cycles, that is a major operational shift.
Why Proactive Insights Matter Just as Much
Not every user knows exactly what to ask. In many cases, the most important opportunity is the one no one thought to look for. That is why the second half of the AdClarity AI Suite matters just as much as the chatbot itself.
AI Insights brings proactive intelligence into AdClarity reports and widgets by automatically explaining what changed and why it matters. The goal is to make these insights available across the platform, so users can surface important findings wherever they work. The first phase launches inside Brand Reports and selected key widgets: a high-level narrative appears at the top of each Brand Report, while smaller insights surface inside areas such as Top Campaigns and Top Publishers.
Together, the two experiences serve different moments in the workflow: one helps users ask better questions, and the other helps them spot what they would otherwise miss.
Built on the Full AdClarity Data Foundation
What makes this meaningful is not AI alone. It is AI grounded in AdClarity’s own ad intelligence infrastructure. BIScience powers AdClarity with a proprietary base of 30 million opt-in panelists across 51 global markets, 2 billion ad creatives, 436 billion ad impressions, 2 million tracked brands, 8 years of historical data, and $393 billion in annual covered ad spend.
That matters because the AI does not answer from the open web or a generic model. It works from the same AdClarity coverage customers already rely on across digital display, social, online video, CTV, and linear TV. The outcome is faster unified analysis without breaking consistency, privacy, or trust in the data.
What This Means for AdClarity Users
The launch of the AdClarity AI Suite signals a broader product direction. BIScience is the first company moving ad intelligence away from static interfaces built for specialists, and toward systems that help more teams work directly with competitive data. The chatbot is available now to all AdClarity users on a freemium basis, and the AI insights will be available to all our Enterprise customers.
For our users and partners, the implication is simple. AdClarity is no longer just a place to look up competitor activity. It is becoming the system that helps users understand what changed, why it changed, and what to do next.
