FAQ
Frequently asked questions
Clear answers about wallet credit, usage, subscriptions, and how Tycoon charges for work.
Prospect research feels invasive. Isn't there a creepy line?
The line is: public info vs private info. Public: company size, funding, press releases, LinkedIn profiles, tech stack visible via BuiltWith, recent product launches. Private: personal details, off-the-record discussions, non-public financials. AI Sales Rep pulls only public info — the same info a professional human researcher would find on Google + LinkedIn in 30 minutes. Most prospects expect this level of prep from a serious vendor; they notice when it's absent ('they didn't even know we'd just raised'). Creepy is when you reference something that had to come from a private source.
How is this different from Clay or Clearbit for prospect enrichment?
Clay and Clearbit are data providers — they give you fields about a company (size, revenue, tech stack). They don't synthesize into a brief, tailor the demo agenda, pre-load objections, or draft follow-up. Tycoon uses Clay/Clearbit as inputs and adds the orchestration layer that turns data into a workable demo brief. Think of it as: Clay = ingredients; Tycoon = the chef that prepares a meal.
Our sales cycles are complex — multi-stakeholder, 6-month enterprise cycles. Is one demo call prep enough?
No, and enterprise workflows have multiple demo stages. AI Sales Rep maps the account stakeholders (Champion, Economic Buyer, Technical Evaluator, Legal, IT) and runs demo prep for each stakeholder type: technical deep-dive for the evaluator, business-outcome focus for the buyer, integration-focused for IT. Between demos, it tracks the multi-thread: who's aligned, who's hesitant, what objections are blocking, what's the next gate. Enterprise deals close faster not because of better demos but because of better cross-stakeholder coordination.
What if the prospect goes off-script during the demo? Pre-planned agendas fall apart.
The agenda is a default, not a cage. Pre-prep makes off-script easier, not harder — you know the product well enough to pivot confidently. During the call, if the prospect asks about a feature you didn't plan to demo, AI Sales Rep pulls the right docs into your screen (via a bookmark bar or pre-loaded tabs) so you can show it without fumbling. Post-call notes capture the pivot so the follow-up reflects what actually mattered to the prospect, not what your pre-planned agenda said mattered.
Can this replace an SDR/BDR that qualifies inbound demo requests?
Partially. AI Sales Rep can handle qualification questions via chatbot/form: 'what's your team size?', 'what tools are you currently using?', 'what's the problem you're solving?'. For high-signal inbound (mid-market+ with clear use case), it books the demo directly. For lower-signal (freelancer curious about your product), it routes to self-serve onboarding + KB instead of a human demo. The SDR's job changes from 'qualify and schedule' to 'handle edge cases the AI can't'. Most teams find this reduces SDR headcount need by 50-70% or reallocates SDRs to higher-value outbound.