Frequently asked questions
What's generative AI's actual job in RevOps today?
Three things: research compression (summarize an account from 20 inputs), draft generation (write a credible first version of an email), and signal interpretation (what does this hiring pattern mean for our outreach?). Beyond those three, ROI is shakier.
Is generative AI a feature or a category?
A feature inside existing categories. Pure AI for sales plays without a specific workflow tend to underperform; AI integrated into a specific job-to-be-done (scoring, sequencing, research) wins.
What's the risk of using generative AI for customer-facing content?
Hallucination is the headline risk. The deeper risk is sameness. When every vendor uses the same model with similar prompts, outbound emails converge on identical structure and prospects stop reading.
What does good look like with generative AI in sales?
AI does the research and produces a draft; the human edits with a specific account insight the AI missed; the message goes out. Output quality up, time down.
How does Landbase use generative AI?
For account research summaries and signal interpretation. The model reads structured data and produces structured insight; the message draft is left to the customer's own tools and human edit.
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