AI in Sales and Marketing
Definition
AI supports sales and marketing through research, segmentation, drafting, variation, lead triage, forecasting assistance and workflow automation, while claims and customer data still require governance.
Where AI is used in sales and marketing
AI is used for prospect research, lead scoring, audience segmentation, content drafting, campaign variation, call summarization, forecasting assistance and analysis of customer behavior. Recommendation systems and ad platforms have used machine learning long before generative AI.
What generative AI changed
LLMs made it cheap to generate many text variations and to summarize large volumes of unstructured customer material. Sales teams can turn calls into notes or draft follow-ups, while marketers can create first drafts for campaigns.
What still requires evidence
Generated copy can invent product claims, customer quotes or market facts. Brand, legal and compliance review therefore remain important. Marketing automation should optimize around real customer behavior and approved claims rather than treating generated text as factual by default.
Related terms, defined
Reference guide and primary sources
Wikipedia is used here as a terminology and history reference guide. Current model versions, institutional statistics and product-specific claims are also linked to first-party or institutional sources because those details can change faster than encyclopedia articles.