Why Airspeed
Why teams switch to Airspeed
Intelligence
See which deals are real
Airspeed reads the whole conversation, not just keywords, and turns it into structured deal and revenue intelligence. You see which deals are real and which are quietly slipping.
Agents
Agents do the busywork
The recap, the CRM update, the follow-up draft: Airspeed agents run the post-call work in minutes, so reps stay in the deal instead of the data entry.
Coaching
Coaching on every call
Every rep scored on every call, automatically, against the moments that actually win deals. No manager staying late to review recordings.
CRM automation
Your CRM fills itself
Fields, notes, and next steps written back to Salesforce or HubSpot after every call, with dynamic mapping to your own fields.
Forecasting
Forecasts built on what buyers said
Every deal gets an AI close probability grounded in the calls themselves, rolled up into team forecasts you can defend. Commit, best case, and pipeline in one live view.
What to watch for
Write-back depth: does it populate structured deal fields, or just drop a summary into the notes?
Picklists and dropdowns: can it set values like deal stage and loss reason, or only write free text? Picklists are what reporting and AI agents depend on
Custom field mapping: can it write to your existing Salesforce/HubSpot fields without heavy admin work?
How did we choose and rank these tools?
We scored each tool on one job: turning a sales call into accurate, structured CRM data without the rep typing it. Scoring draws on hands-on testing, vendor documentation, and verified user reviews, weighted toward write-back depth and custom-field mapping rather than transcription polish.
- Depth of CRM write-back: structured deal fields, not a notes blob
- Whether it writes to dropdowns and picklists (deal stage, loss reason), not just free text
- Custom field mapping to your existing Salesforce/HubSpot schema
- Speed from call end to populated record
- Whether it acts on the call (drafts follow-ups, preps next steps) or only summarizes
- Native support for both Salesforce and HubSpot
- Total cost of ownership for a mid-market team
Sources: Hands-on product testing by the Airspeed team, June 2026; Vendor pricing pages and product documentation, reviewed June 2026; G2 and Capterra reviews; Vendor pricing pages for Sybill, Avoma, and Fireflies, checked June 2026; Gong pricing via Tropic procurement data (January 2026); Gong does not publish list pricing.
7 alternatives, ranked
Airspeed
AI revenue assistant that writes structured CRM fields, and acts on the call
- Writes to any field in Salesforce or HubSpot, including dropdowns and picklists like deal stage and loss reason, not just a free-text notes field
- Matches picklist values to your CRM's existing options, so the output is clean structured data your reports and AI agents can use
- Dynamic custom-field mapping configured once and applied to every call
Sybill
AI notetaker focused on auto-filling CRM fields after calls
- Strong structured field autofill (MEDDICC/BANT-style) from call transcripts
- Clean post-call summaries and follow-up drafts
- Good Salesforce and HubSpot support
The catchLighter on revenue execution beyond the call
Gong
Market-leading conversation intelligence (analytics-first)
- Deep call analytics and benchmarking data
- Strong coaching and deal-review workflows
- Widely recognized and trusted in procurement
The catchDeal-field writes run through the AI Data Extractor agent, so they depend on your tier and on RevOps configuring the fields
Salesforce Einstein
Native activity capture and conversation insights inside Salesforce
- Native email and calendar auto-logging with no extra tool
- Einstein Conversation Insights adds call summaries inside Salesforce
- No data sync; it lives in the CRM
The catchAuto-logs activity but does not deeply populate custom deal fields from calls
HubSpot Breeze
Native AI and activity logging inside HubSpot Sales Hub
- Native email/calendar logging and AI summaries inside HubSpot
- No integration overhead for HubSpot customers
- Smart deal-progression features
The catchStructured field write-back from calls is limited next to dedicated AI assistants
Avoma
Affordable meeting intelligence with CRM sync
- Affordable, with solid AI notes and summaries
- Covers scheduling, notes, and follow-ups in one tool
- Automatic note sharing to the CRM
The catchDeeper CRM field automation only in higher tiers
Fireflies
Widely used AI notetaker with broad CRM integrations
- Inexpensive and easy to roll out
- Transcribes and summarizes across many meeting types
- Syncs notes to most major CRMs
The catchPushes summaries, not structured deal fields
Feature by feature
| Feature | Airspeed | Sybill | Gong | Salesforce Einstein | HubSpot Breeze | Avoma | Fireflies |
|---|---|---|---|---|---|---|---|
| Auto-logs email & calendar | ✓ | ✓ | ✓ | ✓ | ✓ | ✓ | ✓ |
| Writes structured CRM fields after calls | ✓ | ✓ | Via AI Data Extractor | Limited | Limited | Higher tiers | ✕ |
| Writes to dropdowns & picklists | ✓ | Limited | ✕ | ✕ | ✕ | ✕ | ✕ |
| Custom field mapping | ✓ | Plan-dependent | Configured fields | With admin setup | Limited | Higher tiers | ✕ |
| Salesforce + HubSpot support | ✓ | ✓ | ✓ | Salesforce only | HubSpot only | ✓ | ✓ |
| Drafts follow-ups / takes action | ✓ | ✓ | One-click per call | ✕ | Limited | Limited | ✕ |
| Call processing speed | ~5 min | Minutes | Slower | Varies | Varies | Minutes | Minutes |
Compared on public pricing, vendor documentation, and verified G2 and Capterra reviews by the Airspeed team. Pricing as of June 2026; confirm current pricing with each vendor. Last verified October 2026.
Airspeed by the numbers
When Your CRM's native features is still the better pick
- You only need email and calendar activity logged, not conversations turned into structured deal fields. Native Einstein Activity Capture or HubSpot logging already cover that for free
- Your team does not run recorded sales calls, so there is no conversation data to capture in the first place
- You are not ready to add a tool to the stack and want to exhaust built-in automation before evaluating an AI layer
Frequently asked questions
What is the best AI tool to update the CRM after calls?
For deep, structured write-back that populates deal fields, next steps, and qualification data rather than dropping a summary, Airspeed is the strongest pick for mid-market teams. It maps to your custom Salesforce/HubSpot fields and drafts the follow-up too. Sybill is a strong alternative if you only need post-call field autofill. Gong is better suited to call analytics than CRM field automation.
Can AI update Salesforce or HubSpot after a call?
Yes. AI call-capture tools ingest the recording or transcript, extract structured data (deal stage, next steps, stakeholders, competitors, qualification fields), and write it directly to the matching record in Salesforce or HubSpot. The best tools map to your existing custom fields and post within minutes of the call ending.
How is this different from my CRM's native auto-logging?
Native features like Salesforce Einstein Activity Capture and HubSpot logging record that an email or meeting happened. They do not turn the conversation into structured deal fields. An AI call-capture assistant adds that layer: it reads what was said and updates the fields you forecast on. Use native logging first, then add the AI layer for the work the CRM cannot do alone.
Do these tools work for teams that are not on Gong?
Yes. Most of these tools are independent of any conversation-intelligence incumbent and connect directly to Salesforce or HubSpot. You do not need Gong to get automatic post-call CRM updates. Several of these tools write structured fields back more thoroughly than Gong does.
Why do picklist and dropdown writes matter, not just notes?
Free-text notes read fine to a human but are useless for reporting and automation: you cannot reliably filter, group, or forecast on a paragraph of text. Structured fields and picklists (deal stage, loss reason, qualification status) are what dashboards and AI agents actually run on. A tool that only writes a summary into a notes field leaves your reporting exactly as manual as before. The ones worth paying for, like Airspeed, set the actual picklist values, matched to your CRM's existing options, so you get both the human-readable summary and the structured data underneath.
Can AI fill a loss reason or dropdown automatically?
Yes, but only tools that write to structured picklist fields can. Airspeed extracts the reason a deal was lost (or any other dropdown value) from the conversation and sets the matching picklist option in Salesforce or HubSpot, rather than leaving it in a free-text note. That is what makes win/loss reporting trustworthy and gives AI agents clean inputs to act on. Tools that only push summaries cannot reliably populate dropdowns.
Do these tools automate all CRM entry or just post-call?
These tools automate the post-call slice, which is the largest and most-skipped source of manual CRM entry. To automate CRM data entry end to end, pair one of them with your CRM's native email and calendar auto-logging (HubSpot sync, Salesforce Einstein Activity Capture), automatic contact creation and enrichment, and trigger-driven stage changes. Our guide on how to automate CRM data entry walks that full rollout step by step.
Book a demo. See it in action.
Watch Airspeed log the call, update your CRM, and draft the follow-up, in your own pipeline.
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