Plain answers to the questions executives ask.Playbooks, comparisons, and definitions.

The GTM vocabulary every executive should know.

Clear, jargon-free definitions of the terms that shape modern revenue teams, so you can cut through the noise and make sharper decisions.

Revenue architecture

The discipline of designing the connected system across marketing, sales, and customer success that produces predictable revenue.

Revenue architecture treats growth as engineering, not heroics. It defines the ICP, the motion, the operating cadence, the data model, and the tooling as one connected system, and assigns ownership for each. RevOps then operates the system; revenue architecture is what gets built before RevOps has something to operate.

Unified GTM

A go-to-market model where marketing, sales, RevOps, and customer success run as one team accountable to one number.

Unified GTM replaces siloed functions and competing dashboards with a single operating motion. Pipeline, expansion, and retention are tracked on shared definitions; comp plans, forecasting, and reporting all roll up to the same number.

Embedded operators

Senior practitioners who run alongside your team under a monthly subscription, not consultants who hand you a deck.

Embedded operators sit in your Slack, attend your standups, and own work end-to-end. They differ from fractional executives (one person, part time, one function) and from consultants (strategy then exit) by combining strategy with execution and planned knowledge transfer.

MarTech audit

A scored evaluation of your marketing technology stack against fit, usage, overlap, integration, cost, and renewal risk.

A MarTech audit produces an executive report on what to keep, kill, and consolidate. Most B2B companies discover six-figure annual savings on the first pass because tools have stacked through reorgs and vendor cycles without anyone owning total cost.

AI call scoring

An AI agent that listens to every sales call, scores it against a playbook, and delivers a daily coaching report.

AI call scoring replaces sampled QA with full-coverage feedback. Reps get specific, prompt-level coaching the day after the call; managers see trendlines per criterion across the team. It compounds win-rate lift because every conversation becomes a coaching surface.

Answer Engine Optimization (AEO)

The practice of structuring content so AI search engines like ChatGPT, Perplexity, and Google AI Overviews cite it as the answer.

AEO combines clear factual writing, FAQ-style structure, and JSON-LD schema so an LLM can quote a page verbatim. It overlaps with classic SEO but optimizes for being the citation, not the click, different intent, different metrics.

Generative Engine Optimization (GEO)

Optimizing a brand's entity graph and quotable assets so LLMs surface it inside generated answers.

GEO extends AEO beyond a single page. It treats LLM citation as an outcome of entity completeness (Wikipedia, Crunchbase, LinkedIn, schema), original data and statistics, and consistent brand framing across the open web. The goal is for the model to know what your company is, not just to scrape a page.

SPICED framework

A sales qualification framework: Situation, Pain, Impact, Critical event, Decision.

SPICED replaces older qualifiers like BANT and MEDDIC for modern recurring-revenue sales. It forces reps to qualify on impact and a time-bound critical event rather than budget alone, which improves forecast accuracy and shortens cycles when applied with discipline.