Research, teardowns, and the receipts

RevSure TeamAug 24, 20267 min read

Context engineering vs Prompt engineering for GTM

Prompt engineering is about writing the instruction. Context engineering is about curating everything else the model sees when it answers. RevSure explains how the two differ, why context wins as agents scale, and what that means for revenue teams.

MCP for GTM: the protocol layer for revenue agents

MCP for GTM is the Model Context Protocol applied to revenue: one open standard that lets AI agents read go-to-market data and act on it without a custom integration per tool. RevSure explains what the protocol standardizes, what it deliberately leaves to you, and why the layer underneath decides whether the answer is right.

RevSure TeamAug 24, 20268 min read

Marketing

What is the full funnel data graph?

A full funnel data graph is a unified model that connects every GTM signal, from first anonymous touch to closed-won revenue, into one resolved structure people and AI agents can read and write. RevSure explains what it connects, how it differs from a context graph and a context layer, how it is built, and how AI uses it.

Aug 18, 2026

RevSure TeamAug 18, 20267 min read

Context engine: how GTM AI turns signals into decisions

A context engine is the processing layer that keeps a GTM context graph resolved and current. RevSure explains how it ingests signals, resolves accounts, harmonizes definitions, and grounds AI agents so every decision reflects real buyer state.

RevSure TeamAug 18, 20267 min read

Context graph vs knowledge graph: what GTM teams need

The difference between a context graph and a knowledge graph comes down to time. RevSure explains why go-to-market runs on a temporal, decision-tracing context graph rather than a static map of facts, and when a knowledge graph still fits.

RevSure TeamAug 18, 20266 min read

Context layer vs semantic layer: how they differ in GTM

A semantic layer defines metrics so everyone queries the same numbers. A context layer resolves entities and tracks state so software can act on them. RevSure explains how the two differ in go-to-market and why they work best together.

RevSure TeamAug 18, 20268 min read

How to build a context graph for GTM

Building a context graph for GTM means turning fragmented data into one resolved, time-aware model that agents can reason over. RevSure breaks down the four moves that matter and the order they have to happen in.

Marketing

The GTM context graph: why revenue platforms are built on context

A context graph is the resolved layer that lets go-to-market AI reason about buyers, stages, and outcomes over time instead of reacting to one signal at a time. RevSure explains what a context graph is, why raw data stalls on modern B2B buying, and how the Full Funnel Data Graph puts it to work.

RevSure TeamAug 17, 20268 min read

RevSure TeamAug 17, 20267 min read

What is a B2B GTM context layer?

A B2B GTM context layer is the shared, neutral layer that every go-to-market tool and AI agent reads from and writes to. RevSure explains what it holds, why it should not belong to your data vendor, and how it grounds AI agents on the stack you already run.

Speed to lead: how the Form Fill Responder agent answers inbound in seconds

Speed to lead decides whether a rare high-intent form fill converts. See how the Form Fill Responder agent enriches, scores, and routes inbound in seconds.

Account scoring for buying groups: how the Hot Accounts agent ranks accounts, not leads

Account scoring ranks accounts by buying-group momentum, not single leads. How RevSure's Hot Accounts agent surfaces and routes the account that's actually moving.

Website visitor tracking that acts: the Web Visitor Email agent

Website visitor tracking usually stops at a list of logos. RevSure's Web Visitor Email agent resolves the session and sends the right email in minutes.

How the Pipeline Hygiene agent turns a manager's cleanup report into fixes reps actually make

Pipeline hygiene keeps CRM opportunities accurate. RevSure's Pipeline Hygiene agent flags stale deals and empty fields and assigns each fix to the deal owner.

Forecast accuracy, in practice: how the Forecast Variance agent flags the commit that will not land

Forecast accuracy is how closely commit matches what closes. RevSure's Forecast Variance agent scores each commit against history and sizes the gap to plan.

Campaign spend reallocation: how the Reallocation agent decides which channel to defund next

Flat budgets, a new 15.3% AI carve-out (Gartner 2026). How RevSure's Campaign Reallocation agent decides which channel to defund using causal pipeline impact.

How the Deals at Risk agent catches a slipping deal before the close date moves

How RevSure's Deals at Risk agent spots an open deal losing momentum, names the problem, and hands the rep the next best action before it slips.

B2B lead nurturing with the Marketing Nurture Emailer agent

B2B lead nurturing works when each email fits the lead's real behavior. See how the Marketing Nurture Emailer agent writes the next-best message per MQL.