# What does your team actually get right (or wrong) when implementing AI sales assistants?

We're analyzing trends across the AI Sales Assistant Software category on G2 and wanted to share what the data is surfacing, and hear from practitioners about what's actually working.
After reviewing nearly 3,900 verified reviews in the AI Sales Assistant Software category, a few patterns stand out. Top tools coming up consistently include Gong, Apollo.io, and HubSpot Sales Hub, but the gap between teams seeing real ROI and those stuck with noisy automation often comes down to implementation quality, not tool selection.
Here are some platforms that keep surfacing in this research:
Gong: Known for conversation intelligence and deal risk signals. Best for revenue teams wanting pipeline visibility from call data.
Apollo.io: Stands out for outreach automation and B2B data enrichment in one platform. Popular with SDR-heavy teams.
HubSpot Sales Hub: Frequently cited for ease of use and CRM-native AI features. Well-suited for teams that want automation without heavy setup.
ZoomInfo Sales: Known for intent data and contact enrichment. Often chosen by teams prioritizing prospecting precision.
Agentforce Sales: Salesforce's AI layer for workflow automation and forecasting. Best for orgs already deep in the Salesforce ecosystem.

If you've rolled out an AI sales assistant recently, what made the difference between it delivering value and just adding noise? Curious whether internal readiness (clean data, defined workflows) mattered more than the tool itself.

##### Post Metadata
- Posted at: 2 months ago
- Author title: Assc Mrk Research Analyst
- Net upvotes: 1




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