Nearly 40% of AlphaSense's business comes from corporate clients. Corporate development, strategy, and investor relations teams are now major consumers of expert call libraries to understand how investors view their industry and competitors.
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To save time with busy clients, create a "synthetic" version in a GPT trained on their public statements and past feedback. This allows teams to get work 80-90% of the way to alignment internally, ensuring human interaction is focused on high-level strategy.
Transcript libraries allow investors to quickly learn industry basics. This elevates the purpose of live expert calls from foundational learning to asking much deeper, nuanced questions that challenge a specific investment thesis.
Act as a strategic partner, not a vendor, by analyzing a prospect's annual reports, 10Ks, and shareholder letters. Use this research to inform them about strategic risks or business issues they haven't considered, immediately differentiating you from competitors who just ask basic discovery questions.
A robust M&A strategy isn't built in a vacuum. Snowflake's CorpDev team continuously gathers intelligence from three sources: VCs (capital flow), entrepreneurs (innovation), and internal product leaders (strategic needs). This triangulation allows them to form a holistic and actionable market view.
The trust you've built with current customers allows them to share raw industry insights and market intelligence that prospects won't. This feedback loop is invaluable for product development, competitive strategy, and identifying new opportunities.
Instead of general queries, instruct your AI to act as an account executive with an urgent deadline. This framing forces the AI to cut through fluff (like a company's founding date) and extract pressing business initiatives from documents like 10-Ks and earnings calls.
The company developed an AI that conducts highly technical expert network interviews, automating a high-friction manual process. This enables new, scalable content creation like monthly channel checks across dozens of industries—a task too repetitive for human analysts to perform consistently at scale.
Use an AI agent to systematically analyze sales call transcripts. By automatically extracting and categorizing data like competitor mentions and objections into a structured format (e.g., a spreadsheet), product marketers can quickly identify trends and prioritize their roadmap and messaging.
Previously, conducting large-scale surveys via expert calls was cost-prohibitive. AI-led interviewers remove human time constraints and dramatically lower costs, enabling investors to gather real-time market sentiment from hundreds of sources simultaneously.
When a potential acquirer calls, the founder's default mode should be information gathering, not pitching. By asking strategic questions ("Who else are you talking to?", "What are your goals?"), founders can extract valuable competitive intelligence about the market and the larger company’s plans, regardless of whether a deal happens.
