Agentic research turns noisy signals about customers, prospects, and competitors into actionable insights — ranked and scored so your team can address the most urgent engagements first without false positives (or negatives).
There's no standard for operating generative and agentic AI within a go-to-market org — so research stays manual, shallow, or both. Teams can't capture high-signal insight about competitors and key accounts, or about the buyers and users they're trying to reach, without flooding the pipeline with senseless noise.
Meanwhile the corpus only grows — a constant stream of competitor moves, buyer signals, and account triggers to review — and it's never clear what to prioritize or how to act on it.
capabilities
Orchestrate your agents.
01
Social Listening
Highlight what users are saying about alternative solutions — across reviews, social, and forums.
02
Competitive Intelligence
Competitor launches, pricing, and partnerships — distilled into a daily brief.
03
Account Updates
Know the moment a key account turns in-market, scored for buying intent.
04
Sentiment Analysis
How users feel about your brand, sorted positive to negative.
05
ICP & Persona Segmentation
Refine your ICP with firmographics, personas, and the channels that convert.
06
Lookalike Audiences
Accounts and buyers that mirror your best customers — pre-qualified.
the outcome
The right message. The right moment.
Activated context means reaching the right user or buyer, at the right company, at the right time, with the right message — to attract, engage, and acquire your next customer.