Sybill is an AI notetaker purpose-built for B2B sales teams. It does more than transcribe — it analyses buyer body language and verbal cues to generate accurate CRM notes and personalised follow-up email drafts automatically after every call, eliminating the manual admin that slows down reps after customer meetings.
Product Overview
Sybill's differentiator is its focus on the rep workflow after the call. While competitors deliver transcripts and summaries, Sybill generates CRM field fills (MEDDIC, BANT, custom frameworks), writes a personalised follow-up email ready to send, and creates a magic summary that captures what the buyer actually cared about — based on engagement signals, not just what was said. Its Deal Summaries feature aggregates insights across all calls on a deal, giving managers a living picture of deal health.
Key Features
- Magic Summary: AI summary focused on buyer intent and engagement signals — not just a transcript recap, but what the buyer actually responded to.
- Auto CRM Notes: Automatically fill MEDDIC, BANT, SPICED, or custom CRM fields based on call content — no rep effort required.
- Follow-Up Email Draft: Personalised follow-up email ready to send within minutes of the call ending, referencing specific discussion points.
- Deal Summaries: Living deal summary that aggregates insights from every call on an opportunity — for manager deal reviews.
- Buyer Engagement Analysis: Analyses non-verbal cues and verbal engagement signals to identify what resonated with each buyer.
Best For
B2B sales reps and managers at companies using MEDDIC/BANT frameworks who want to eliminate post-call CRM admin and send better follow-up emails faster.
Pricing
Teams plan at $49/user/month; Enterprise custom. Free trial available.
Key Integrations
Salesforce, HubSpot, Zoom, Google Meet, Slack, Gmail, Outlook
Pros
- Best-in-class follow-up email generation
- Auto CRM fills for MEDDIC/BANT frameworks
- Buyer engagement signals go beyond standard transcription
- Deal summaries replace manual pipeline reviews
Cons
- More expensive than Fathom or Fireflies
- Body language analysis requires camera-on meetings
- Less useful for non-sales call types
RevOps Jobs-to-Be-Done
- Buyer Sentiment Analysis on Sales Calls — Analyze non-verbal cues, tone, and engagement patterns during sales calls to understand buyer sentiment beyond what's said. KPI: Identify deal risk signals 2 weeks earlier by detecting disengagement in buyer behavior during calls
- AI-Written Call Summaries with Buyer Signals — Generate call summaries that go beyond transcript — capturing buyer sentiment, follow-up urgency, and deal stage recommendations. KPI: Give managers a complete picture of deal health from call summaries without listening to recordings
- CRM Hygiene Automation from Calls — Automatically update Salesforce fields including next steps, stakeholder sentiment, and deal stage based on call analysis. KPI: Achieve 90%+ Salesforce data accuracy with zero rep data entry burden post-call
How It Fits Your Stack
Primary system of record: Salesforce CRM
Key integrations: Salesforce, Zoom, Google Meet, Microsoft Teams, Outreach, Salesloft
Data flows: Video and audio analyzed for verbal and non-verbal signals; AI generates deal insights and buyer sentiment scores; CRM updated automatically; manager digest delivered via email/Slack
Security & Compliance
- SSO / SAML: Google SSO and SAML
- RBAC / permissions: Yes
- Audit logs: Yes
- Certifications: SOC 2 Type II
- Data residency: US
Implementation & Ownership
- Time to first value: 1–3 days
- Implementation complexity: Low — Zoom/calendar integration and Salesforce connection
- Typical owners: VP Sales, Account Executive, Revenue Operations
Differentiates on non-verbal/emotional signal analysis; unique positioning vs standard transcription tools
Proof & Buyer Signals
Ratings: G2: 4.6/5 (100+ reviews)
What buyers praise:
- Buyer sentiment analysis is genuinely novel
- CRM automation saves significant rep time
- Good deal health signals
Common complaints:
- Emotional AI accuracy questioned by some users
- Salesforce-centric; weaker for HubSpot teams
Often Compared With
- Read AI — Read AI measures meeting engagement broadly; Sybill specializes in buyer-specific sentiment and emotional signals specifically for sales conversations
- Supernormal — Supernormal focuses on fast clean notes for any meeting type; Sybill is purpose-built for sales call intelligence with buyer sentiment analysis
- Grain — Grain emphasizes clip sharing and collaboration; Sybill focuses on AI analysis of buyer behavior to improve sales outcomes and forecast accuracy
