Why teams switch to Airspeed
Insights become decisions
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.
AI agents do the busywork
The recap, the CRM update, the follow-up draft. Airspeed's agents run the post-call work in minutes, so your reps stay in the deal instead of the data entry.
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.
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.
Forecasts built on what buyers actually 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.
Where Gong starts to hold teams back
Processing takes 45-60 minutes, so by the time the insight arrives the moment to follow up has passed
Bundling the Engage and Forecast modules pushed per-seat cost from roughly $160/user/month in 2023 to a publicly reported $200-250/user/month in 2026
Implementation runs $15,000-$65,000 before your team logs a single call, hard to justify for a 10-50 rep team
7 alternatives, ranked
Airspeed
AI that executes on the call, not just records it
- 5-minute call processing, so you follow up while the deal is still warm
- Automatic CRM sync with dynamic custom field mapping
- Multi-LLM AI (Claude, GPT-5, Gemini) for higher accuracy
Chorus (ZoomInfo)
Legacy conversation intelligence bundled with ZoomInfo data
The catchAI accuracy can be inconsistent
Attention
AI sales tool with a custom workflow builder
The catchAI misses key information that competitors catch reliably
Clari
Revenue platform focused on forecasting and pipeline management
The catchNot primarily focused on conversation intelligence; call analysis is secondary (Copilot is an add-on)
Avoma
AI meeting assistant with robust conversation intelligence
The catchLess depth than dedicated conversation intelligence platforms (depending on plan)
Fireflies.ai
AI meeting transcription and notes for any team
The catchFree plan has limitations on storage and advanced AI summaries
Fathom
Free AI meeting recorder for individual sales reps and small teams
The catchNo shared team features or manager-level visibility on the free plan
Feature by feature
| Feature | Airspeed | Chorus (ZoomInfo) | Attention | Clari | Avoma | Fireflies.ai | Fathom |
|---|---|---|---|---|---|---|---|
| Call Recording | ✓ | ✓ | ✓ | ✓ | ✓ | ✓ | ✓ |
| AI Transcription | ✓ | ✓ | ✓ | ✓ | ✓ | ✓ | ✓ |
| CRM Auto-Sync | ✓ | ✓ | ✓ | ✓ | ✓ | ✓ | ✓ |
| Deal Intelligence | ✓ | ✓ | ✓ | ✓ | ✓ | ✓ | ✕ |
| AI Coaching | ✓ | ✓ | ✓ | ✓ | ✓ | ✓ | ✕ |
| Forecasting | Launching soon | ✓ | ✕ | ✓ | ✓ | ✕ | ✕ |
Compared on public pricing, vendor documentation, and verified G2 and Capterra reviews. Pricing as of June 2026; confirm current pricing with each vendor. Last verified June 2026.
Airspeed by the numbers
When Gong is still the better pick
- Brand recognition decides your procurement, and you want the name with the largest install base in the category
- You want conversation intelligence and outbound engagement (Gong Engage) from one vendor
- You only need keyword spotting, a yes/no flag for whether a phrase came up, rather than LLMs that read the whole conversation and turn it into structured deal data
Frequently asked questions
What is the best alternative to Gong?
For mid-market teams that want execution automation, Airspeed is the strongest alternative. For enterprise forecasting, Clari fits better. For budget-conscious teams, Avoma or Fireflies cover the basics at lower price points.
Is Gong worth the price?
At $100-250/user/month plus platform fees, Gong earns its keep for large enterprises (200+ reps) that need broad analytics and forecasting. For mid-market teams, the cost is hard to justify when alternatives like Airspeed do more automation at roughly a third of the price.
Why has Gong gotten more expensive?
Gong now bundles its Engage (sales engagement) and Forecast modules into higher tiers, which pushed effective per-seat pricing from roughly $160/user/month in 2023 to a publicly reported $200-250/user/month in 2026. On top of that, implementation commonly runs $15,000-$65,000. A November 2025 secondary sale reportedly valued Gong at about $4.5B, down from a $7.25B primary valuation: a sign of broader repricing across the category.
When is Gong still the better choice?
Gong is the stronger pick in a few cases: when brand recognition decides your procurement, when you want conversation intelligence and outbound engagement (Gong Engage) from one vendor, or when you only need keyword spotting, a yes/no flag for whether a phrase came up, rather than LLMs that read the whole conversation and turn it into structured deal data. For most mid-market teams that want faster execution and automatic CRM action, Airspeed fits better.
Can I switch from Gong to Airspeed?
Yes. The migration typically takes 2-3 weeks. Airspeed can ingest historical call recordings and your team can run both platforms in parallel during the transition.
What does Gong do that alternatives do not?
Gong has the most mature forecasting suite (Revenue Graph), the largest proprietary call benchmark database (Gong Labs), and built-in sales engagement via Gong Engage. These are genuine differentiators for enterprise revenue operations.
Which Gong alternative has the best CRM integration?
Airspeed offers the deepest CRM integration with dynamic custom field mapping that automatically writes qualification data, summaries, and action items to your Salesforce or HubSpot fields after every call.
Are there free Gong alternatives?
Fathom offers free call recording for individuals, and Fireflies has a free tier with basic transcription. Neither gives you the deal intelligence, coaching, or CRM automation that paid platforms like Airspeed do.
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Watch Airspeed log the call, update your CRM, and draft the follow-up, in your own pipeline.
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