Gong vs Grain

Gong

Audio

Grain

Audio

Tagline

Gong

Revenue AI platform that captures, transcribes, and analyzes customer conversations to drive sales outcomes.

Grain

AI meeting notes, coaching, and an MCP feed for your agents

Pricing

Gong

Enterprise· Custom pricing based on per-user licenses plus a platform fee scaled to team size; no public tier pricing. Prospects request a quote via a demo form.

Grain

Freemium· Free (45-min meeting cap, 90-day history) / Starter ~$15 per user/mo (unlimited meetings, advanced AI) / Business & Enterprise tiers with CRM sync and admin controls

Free trial

Gong

Not listed

Grain

Yes

API

Gong

Yes

Grain

Yes

Platforms

Gong

web

Grain

webslack

Company

Gong

Gong

Grain

Grain

Model used

Gong

In-house speech and language models, with additional agentic features reportedly built on frontier LLMs

Grain

Claude, ChatGPT

Best for

Gong

Mid-market and enterprise B2B sales, RevOps and customer success teams that already run most conversations on Zoom, Teams or Meet and want AI-driven deal inspection, coaching and CRM automation on top of Salesforce or HubSpot.

Grain

Small and mid-market sales, customer success, and product teams that want AI meeting notes, CRM sync, and an MCP/API feed into Claude or ChatGPT without paying enterprise revenue-intelligence prices.

Not for

Gong

Solo founders, small startups on a tight budget, self-serve or PLG businesses without a human sales motion, and teams that cannot get legal or works-council approval to record customer calls at scale.

Grain

Large enterprise revenue orgs that need deep forecasting, deal risk scoring, and mature coaching analytics — those teams will outgrow Grain and lean toward Gong or Clari.

Editorial score

Gong

8.5 / 10

Grain

8.3 / 10

Use cases

Gong

Sales call recording and transcriptionDeal risk and pipeline inspectionAI-generated call summaries and follow-up emailsSales rep coaching and scorecardsCompetitor and objection trackingForecast accuracy and CRM hygieneCustomer success churn signalsOnboarding and AI role-play trainingRevenue analytics and talk-track benchmarking

Grain

AI meeting notes and summariesSales call transcription and coachingCustomer discovery call analysisCRM auto-updates from meetingsHighlight clip sharing to Slack/NotionCross-meeting AI Q&A searchMCP feed into Claude or ChatGPT agentsProduct research interview libraryDeal review and pipeline insightsCustomer success handoff documentation

Pros

Gong

• Best-in-class conversation transcription and topic tagging tuned specifically for B2B sales dialogue and jargon
• Deep native integrations with Salesforce, HubSpot, Zoom, Teams, Meet, Outreach, Salesloft, Gmail and Outlook out of the box
• Deal intelligence surfaces slipping opportunities, missing next steps and champion changes without manual CRM hygiene
• Agentic layer (Gong Agents, Revenue Harness) can draft follow-ups and update CRM fields with human-in-the-loop review
• Coaching workflows with call scoring, snippet sharing and AI Trainer role-plays are genuinely useful for onboarding reps
• Search across every recorded call in the org is fast and finds specific phrases, competitors or objections in seconds
• Strong analytics on talk ratios, monologue length, question rates and competitor mentions with benchmarking data

Grain

• Bot-less desktop capture is much less intrusive than a Zoom bot on every call
• MCP server + API make it one of the easier notetakers to plug into Claude/ChatGPT/custom agents
• Deal views and CRM sync (HubSpot, Salesforce) cover most GTM workflows without Gong-tier pricing
• Highlight clips and shareable moments make handoffs between sales, CS, and product genuinely fast
• 130+ language transcription and cross-meeting AI search work well on real, messy call libraries
• Perpetual free tier is generous enough to actually evaluate the product on real meetings

Cons

Gong

• Pricing is opaque, quote-only, and generally expensive; small teams and startups are usually priced out
• No free trial or self-serve tier — you must go through a sales cycle to see the product in action
• AI summaries and next-step extraction can hallucinate or over-index on filler talk, requiring rep review before CRM writeback
• Recording consent, data residency and works-council approval add real deployment friction, especially in the EU
• Heavy focus on outbound sales calls means CS, support and product-discovery use cases feel bolted on
• Admin configuration (trackers, scorecards, deal boards) has a learning curve and often needs a dedicated RevOps owner

Grain

• Conversation intelligence and coaching depth still trail Gong and Chorus for large enterprise teams
• Advanced AI, CRM sync, and coaching features are gated behind paid tiers — free plan is limited to 45-minute meetings
• Does not disclose which underlying LLM powers its own summaries, which matters for compliance reviews
• Video/scorecard analytics are lighter than dedicated revenue intelligence platforms
• MCP + agent integrations are new and the ecosystem around them is still maturing

Website

Gong

www.gong.io

Grain

grain.com

Editorial score: rule-based, 0–10, from AI-assisted profile inputs (see /methodology) — not a user rating; “—” means unscored. “Not listed” means we have no record of it, not that it is absent. GitHub figures and prices carry the date they were checked or captured; prices are shown as published, unconverted.