How to Win the Answer in the AI Search Era | Reach 2025
In the age of AI-driven search, the answers we see are increasingly powered by human...
Demandbase + G2
AI has rewritten how buyers research software. There are fewer touchpoints, less visibility, and higher stakes. Buyers are reaching decisions faster and with less observable activity, which means the signals that used to tell you who’s in-market are showing up differently.
For GTM teams, that changes how you read intent, when you act on it, and how quickly you can move from signal to pipeline. Join experts from Demandbase and G2 to learn what’s shifted and how to adapt with practical approaches your demand gen, RevOps, and sales teams can put to work.
AI, LLMs, and zero-click research are changing how buyers discover and evaluate solutions. Learn why teams may be seeing fewer signals — but signals with greater weight and clearer buying context.
Intent signals are becoming especially valuable later in the funnel. We’ll explore how pricing-page activity, category research, and competitive signals can help teams prioritize accounts with stronger purchase readiness.
Hear how G2 and Demandbase help revenue teams move quickly on buyer signals. Learn how MCP integrations, campaign triggering, customer reporting, and sales processes can help connect intent data to pipeline action.
Alexandria Snow
Director of Solution Product Marketing
Alexandria Snow, or Snow, is the Product Solution Marketing Director at G2 with over 7 years of experience driving impactful marketing strategies. Passionate about storytelling, customer voice, and demand marketing, she excels at crafting value-driven messaging that connects products to market needs and fuels growth. Known for her collaborative style and results-driven approach, Alexandria combines creativity and data to deliver strategies that inspire action and amplify customer insighs.
Tom Keefe
Director of GTM Experts
Tom is the Director of GTM Experts at Demandbase, where he sits at the intersection of GTM strategy and applied AI. Embedded with Product, Data Science, and Engineering, he helps shape Demandbase's customer-facing AI agent initiatives and presents the AI roadmap to customers and prospects. With 13+ years in B2B SaaS GTM, Tom is a practitioner-builder who prototypes the agentic systems he advocates for, translating emerging AI capabilities into pragmatic workflows that scale.
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