Building AI Agents

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 retrieval-augmented generation until August 2026, when Salesforce and Anthropic gave the industry a live example […]

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 integration the vendor never built. It reads as confident, specific, and wrong, and the prospect […]

Trigger event data for AI agents is a discrete, timestamped, verifiable business change, a funding round, a new office, a sales hiring spike, that creates a buying window static firmographics can never signal on their own. A company’s size and industry rarely change quarter to quarter; a funding round happens once and moves the clock. […]

The stakes inversion: when a human sends a bad contact, it costs one bounce and a shrug; when an unattended agent works a 500 contact list overnight, it costs a bounce rate spike and a burned sending domain before anyone wakes up. Four requirements: contact data for AI agents needs verification at retrieval time, a […]

Data for AI SDRs is the harder half of the build. Agent logic (sequencing, personalization, send timing) gets solved in a sprint. What breaks in production is the data underneath: contacts that bounce, firmographic filters that miss the account, no signal telling the agent a prospect just changed jobs. The pattern repeats across builders who […]

B2B SaaS activation is broken. Median trial-to-activation rate: 36-38%. Multi-step product tour completion: 5%. Median time-to-value: 1 day 12 hours (Perspective AI 2026 benchmark). Traditional tour-based onboarding has hit a ceiling — users click through fixed steps that do not adapt to what they are actually trying to accomplish. A conversational onboarding agent breaks through […]

Personalization in conversational onboarding is a spectrum. At the low end: “Hi [First Name], welcome!” At the high end: “As a RevOps leader at a Series B FinTech, you probably want to connect your Salesforce first.” The second message requires knowing the user’s company, industry, role, tech stack, and funding stage before the conversation starts. […]

Intent data for AI agents is only as useful as the query language wrapped around it. An agent asked to find every US company actively researching data enrichment that also just expanded its sales team needs intent data for AI agents exposed as filter parameters, not as a weekly CSV drop it has to parse […]

A B2B events webhook turns company news into an HTTP POST that lands on your agent’s endpoint the moment Explorium detects it. Instead of an agent polling for changes on a schedule, the B2B events webhook makes the event itself the trigger that wakes the agent: a funding round is announced at 9:04, your handler […]

Write ICP rules your GTM agent can execute: thresholds, exclusions, tiers, live data. Test each rule on 5 records for zero credits before export.

Give GTM agents persistent memory: store ICP rules in files under 200 lines, fetch live company and contact records through one MCP at 1,000 per call.

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. The fix is not a tool purchase. It is a systematic measurement workflow: a prompt library that simulates buyer queries, a model rotation layer that […]

Audit your Claude Code GTM stack with 9 pass/fail checks: MCP server count, token preload tax, match keys, and one data layer with 150M+ companies.

Claude GTM skills are free and shared now. Build a defensible GTM agent stack on a data layer with 150M+ verified companies and 97.8%+ match accuracy.

The AI SDR is the most widely deployed AI Employee in B2B GTM in 2026. It handles the work that consumed 60-70% of a human SDR’s calendar: list building, prospect research, outreach sequencing, and follow-up. Unlike a sequence tool that automates sending, an AI SDR reasons about who to contact, why they matter now, and […]

An AI Workforce is only as coordinated as the data every seat shares. The AI SDR, AI Marketing Manager, AI CSM, and AI Ops function all query accounts, contacts, and signals — and when each seat runs its own data subscription, the same company can appear with different employee counts, different contact lists, and different […]

Agent Experience (AX) is the discipline of designing how a company is perceived, evaluated, and acted on by AI agents. It is to the agent moment what UX is to the human moment — except the agent moment often comes first. In 2026, AI agents research vendors, evaluate enrichment providers, and initiate purchases on behalf […]

An AX audit answers one question: can an AI agent find, evaluate, and call your B2B data product without a human in the loop? Unlike an SEO audit — which checks whether a search crawler can index your pages — an AX audit checks whether an AI agent can extract decision-making information from your site, […]