How AI.DA Reads a Buyer: DISC, Archetypes, and the Why-Now
Intent data tells you someone is in market. It does not tell you who they are, what they actually want, or how to reach them. That is a different problem.
Knowing a buyer is in market is the easy part. The hard part, the part that decides whether your outreach lands or gets deleted, is reading who they are and why they are moving now. AI.DA scores four things at once.
The communication style (DISC)
How someone wants to be sold is rarely how you want to sell. A Dominance buyer wants the number and the threat, fast, no preamble. An Influence buyer wants the story and who else is already in. A Steadiness buyer wants references and a small safe first step, never a clock. A Conscientiousness buyer wants the data, the methodology, the receipts. The same message wins one and loses the other three.
The archetype (identity beneath the title)
Two CEOs with identical titles can be opposite buyers. The Builder is playing a bigger game and will never fully stop. The Steward is guarding something inherited or hard-won. The Operator wants proof the system runs without them. The Survivor has been burned and protects the downside. Title tells you their job; archetype tells you their motive.
The why-now (the real reason)
Selling a company is one of a dozen reasons someone engages, and usually not the real one. They may be looking for support, quietly stuck, planning a legacy, approaching retirement, facing a tuition bill, or simply burned out and wanting their life back. The why-now decides the entire frame. Sell an exit to someone who wants a partner and you lose before the second email.
The live state (six axes)
On top of the durable traits, AI.DA holds a live position on the things that move: price-sensitive or value-driven, hunting a solution or a partner, calm or under real stress, someday or urgent now, latent or acute pain, cold or ready to move. The message moves with the position.
Intent says they are looking. The read says who to be when you arrive.
Why this cannot be faked at the last minute
A model that reads buyers this way is not trained on last quarter's scraped web text. It learned from seventeen years of proprietary deal-pattern and behavioral data. That is the difference between guessing a personality from a job title and recognizing a pattern you have seen ten thousand times.