For CROs, AEs, and RevOps at B2B companies, Ghost is a context graph layer that sits on your CRM and extracts buying signals, champions, and objections from calls and emails for AI agents to act on.
Presence & Market Position
#68 of 75
AI-Native GTM Challengers
Measures earned, engagement-weighted share of voice across the GTM voices panel. Methodology →
Ghost positions itself as a context graph that sits on top of the CRM, turning calls and emails into structured facts (buying signals, champions, objections) that AI agents can query and act on, aimed at CROs, AEs, and RevOps teams doing account work. The company sits in the AI-native GTM challenger set, with a footprint that is still early relative to the broader market. What conversation exists is practitioner-level, with accounts of pulling account context together before a customer call, framed around cutting time spent hunting for background instead of talking to the customer.
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Business Profile
Ghost launched in 2025 as a B2B sales intelligence company built around a context graph rather than a traditional CRM add-on. The company frames itself around a coming shift in GTM software, where AI agents rather than reps are the primary users of account data, and structures the product end to end, from data ingestion to agent delivery, around that thesis. It remains an independent, early-stage company, with funding, headcount, and investor detail not yet part of the public record.
Agent Readiness
Measures how easily your agents can build on it — API, MCP, CLI, SDK, docs depth. Methodology →
Ghost has published a description of its agent architecture: entities extracted and deduplicated from calls, emails, and CRM records into a context graph that always-on agents query to run research, filtering, and drafting workflows, with human approval gates on any write action back to a CRM. An API is listed as coming soon; no SDK or public MCP server is documented yet on the current build-out.
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