Glossary

The terms, defined.

Plain-language definitions for the AI, automation, and go-to-market words we use — written to be clear, not to sound clever.

Done-for-you AI: Done-for-you AI is a model where a provider builds, integrates, and operates AI automations inside a company’s existing systems, instead of selling software the company runs itself. The client uses the outcome; the provider owns the build and the ongoing upkeep.
Managed AI agents: Managed AI agents are AI agents that a provider builds, monitors, and maintains on an ongoing basis — with evals, prompt versioning, and performance metrics — rather than a one-off deployment the client is left to run. The system keeps working because someone is accountable for keeping it working.
AI engine: An AI engine is a set of AI agents and automations that run one part of the go-to-market motion end to end — for example an Outbound Engine or a RevOps Engine — rather than a single isolated task. Engines can be combined into a full operating system for a company’s entire go-to-market.
GTM stack automation: GTM stack automation is automating work across the tools a company already uses to sell and serve customers — CRM, outreach, enrichment, support — so the automation lives inside the existing stack rather than a new platform. No migration, no new dashboards, no retraining for the team.
AI agent: An AI agent is a software process that uses a language model to carry out a multi-step task with its own tools and context: it takes an input, decides what to do, and acts. This is different from a chatbot, which only responds when a person prompts it.
Self-service SaaS AI tool: A self-service SaaS AI tool is software a company buys and operates itself, configuring and running the AI through a dashboard it logs into. The work of building, wiring, and maintaining the automation stays with the buyer, who runs it in-house.
GEO (Generative Engine Optimization): GEO, also called AEO (Answer Engine Optimization), is the practice of structuring content so AI answer engines — ChatGPT, Perplexity, Claude, Gemini — cite it as a source. It extends classic SEO, which optimizes for ranked links, to a world where buyers get answers from a model instead of a results page.
RevOps (Revenue Operations): RevOps, short for Revenue Operations, is the function that keeps CRM data, forecasting, and the systems behind sales, marketing, and customer success accurate and aligned. When RevOps is healthy, the pipeline number a team reports reflects what is actually happening in the business.
Speed-to-lead: Speed-to-lead is the time between a prospect raising their hand — a form fill, a buying signal — and the first qualified response. Shorter is better: a reply in minutes converts far better than one that lands hours or days later, after the buyer has moved on.
DACH mid-market: The DACH mid-market is mid-sized companies in Germany, Austria, and Switzerland. These buyers tend to have a different relationship with data, compliance, and the people side of work than US-style SaaS buyers.