Gong vs Sierra: Complete Comparison (2026)

Why choose Gong

• Higher Analytics score (9/10 vs 8/10)
• Better fit for mid-market (7/10 vs 5/10)
• Better fit for small business (3/10 vs 1/10)

Why choose Sierra

• Higher Customization score (9/10 vs 7/10)
• Higher Support score (8/10 vs 6/10)

Gong

Pros

• Reviewers widely rate its transcription and conversation analysis depth as best in class.
• It has broad security attestations, including SOC 2 Type 2, ISO 27001, 27701 and 42001, plus bring-your-own-key encryption.
• AI agents, including custom ones built in Agent Studio, come with licenses at no extra cost.
• MCP connections let Microsoft Copilot, Salesforce Agentforce and HubSpot Breeze use Gong data.
• It rates highly on review sites, with roughly 4.7 to 4.8 on G2 across more than 6,000 reviews.

Cons

• There is no public pricing, and a mandatory platform fee sharply raises per-user cost for small teams.
• Reviewers report two to three year contracts, seats that cannot be reduced, and steep early termination costs.
• The interface and search can feel complex, and some reviewers describe a steep learning curve.
• Reviewers say the API lacks bulk export, which makes it hard to move their data out.
• The Engage and Forecast modules get weaker reviews than the core product, and some customers add Clari for forecasting.

Sierra

Pros

• Outcome-based billing means customers usually pay only for resolved conversations or other agreed results, not for each seat.
• Three build options cover both CX teams and engineers: the no-code Agent Studio, the code-first Agent SDK, and Ghostwriter for building agents from SOPs.
• One agent runs across chat, voice, SMS, WhatsApp, email and ChatGPT, keeping context between channels.
• Its list of compliance attestations is broad, covering SOC 2, ISO 27001, ISO 42001, HIPAA, PCI DSS and FedRAMP.
• It has a strong roster of enterprise customers, including SiriusXM, ADT, Rocket Mortgage and SoFi.

Cons

• There is no public pricing, and competitor estimates put annual contracts at about $150,000 or more.
• There is no self-serve or trial tier, so small teams cannot try it on their own.
• Implementation is largely vendor-led, which can make customers depend on Sierra's team for changes.
• There are few public reviews (7 on Gartner Peer Insights) to verify claims against.
• Some reviewers say voice quality still falls short of human level, and that complex telephony setups depend on how far the integration goes.