For enterprise revenue teams, InsideSales.com is a predictive AI sales engagement platform that prioritizes leads and guides rep outreach — the product now lives on as Aurea's Playbooks.
Presence & Market Position
Tracked · below panel floor — earned mentions are accruing toward the next scored window.
Measures earned, engagement-weighted share of voice across the GTM voices panel. Methodology →
InsideSales.com built a predictive AI engine for enterprise revenue teams, scoring and prioritizing leads so reps know who to call first, and served large accounts including Verizon, VMware, Dell EMC, and NetApp. The technology and brand continue today under Aurea, where the product operates as Playbooks, an enterprise sales engagement platform built on a large base of historical revenue interactions and buyer profiles. Little public conversation ties back to the InsideSales.com name directly; what visibility exists now runs through the Playbooks brand and Aurea's own channels rather than independent discussion of InsideSales.com itself.
Outreach
Salesloft
HubSpot
Salesforce
GongVerizon, VMware, Dell EMC, NetApp, Fidelity, Sage, Groupon, Epicor
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Business Profile
InsideSales.com raised $251.2 million to build a predictive sales-engagement platform for enterprise revenue teams, with a customer base that included Verizon, VMware, Dell EMC, NetApp, Fidelity, Sage, Groupon, and Epicor. The company later operated under the XANT name before Aurea Software revived the InsideSales brand and carried the technology forward as Playbooks, its current enterprise sales engagement product. Under Aurea, the business now runs as a small, focused team within a larger software portfolio, with the predictive-engagement technology and enterprise relationships continuing inside Playbooks.
Agent Readiness
Measures how easily your agents can build on it — API, MCP, CLI, SDK, docs depth. Methodology →
Playbooks — InsideSales.com's platform under current owner Aurea — applies predictive AI to prioritize leads and guide rep outreach, drawing on a stated base of 27 billion revenue interactions and 183 million buyer profiles for its recommendations. Nothing on file shows a public API, MCP server, or other agent-facing surface for building on top of the platform.
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