10+ hour, 26+ min ago   (843+ words) Prospect data hallucination is what happens when an AI sales agent states a fact about a company or a person that is not true: a funding round that never closed, an executive who left the company a year ago, an…...

10+ hour, 26+ min ago   (798+ words) Trigger event data for AI agents is a discrete, timestamped, verifiable business change that creates a buying window, something a static firmographic record (headcount, industry, location) cannot do, since none of those fields ever say something just happened. Firmographics answer…...

10+ hour, 26+ min ago   (572+ words) AI grounding for GTM means a sales or marketing agent traces every claim it produces back to a retrieved record, so “this account expanded headcount last quarter” is a lookup, not a guess. The term lived in ML papers about…...

1+ week, 5+ day ago   (619+ words) Founders and investors now have their definitions. What nobody has written is the GTM version: how AI-native service firms actually run go-to-market, and the data infrastructure underneath. The most-documented AI-native firms are GTM agencies, and their operators publish the model…...

2+ week, 5+ day ago   (566+ words) The AI SDR vs in-house agents debate gets argued as a vendor question, which is why it keeps producing bad answers. In 2026 the category moved underneath its buyers: a heavily funded AI SDR vendor abandoned rep replacement and shipped “a…...

2+ week, 5+ day ago   (469+ words) That metric is called AI Share of Voice. This guide defines it, shows you the formula, and gives you the B2B benchmarks you need to know whether you have a citation gap or a competitive position. For the measurement protocol and…...

2+ week, 5+ day ago   (973+ words) explorium.ai How to Build an LLM Brand Tracking Stack for B2B in 2026 Most B2B software teams discover they need LLM brand tracking after noticing that a competitor shows up in every ChatGPT comparison answer for their category — and they do not....

3+ week, 1+ day ago   (582+ words) GTM agent amnesia occurs when an AI agent loses memory of prior interactions, context, or decisions at session boundaries, causing it to repeat completed work, re-contact opted-out prospects, or contradict its own prior decisions. GTM agents need three distinct memory…...

1+ mon, 4+ day ago   (306+ words) Traditional enrichment architecture breaks in agent workflows because it was built around three assumptions that agents violate: a fixed input list, a human review step, and asynchronous turnaround time. Remove any one of those assumptions and the pipeline fails. Agents…...

1+ mon, 5+ day ago   (313+ words) Traditional RAG runs a fixed retrieval step once before generation; agentic RAG gives the agent control over retrieval, so it can query the right source at the right moment inside a multi-step task. GTM data has three properties that make…...