The Lab is live. 15 essays from the frontier of AI-native GTM.

Read
System
/
Skills
/
Account Research

Account Research

Somebody on the team has already researched this account. It rarely helps: the next person starts again from a blank search bar. This skill does the work once, properly: the account's own record plus outside evidence, read against the ICP, Persona, Signals, Products and Competitors memories RevOps keeps, returning what the company is, how it fits and what has changed, with sources, confidence and open gaps. The result follows the account: sourcing tests fit with it, reps prep meetings from it, managers review deals against it. And the method itself improves, because missing evidence and what happens downstream feed each new version.

Used across

Prospecting

Sales

Referenced by

Account Sourcing

Meeting Preparation

Deal Assessment

Applies

ICP

Persona

Signals

Products

Competitors

Account Research Skill Hero
Account Research·210 ACCOUNTS RESEARCHED TODAY
Researching Nettlecombe Systems…
TriggerNew account queued · Nettlecombe Systems · $70K
Live stateReading Prospect State · firmographics, tech stack
Applying skillRunning Account Research v4
Builds account context from internal and external evidence
Matches account profile against ICP criteria and wins
No existing CRM history, first contact with this account
Tech stack detail incomplete, one system unconfirmed
Reference memoryAgainst ICP · Persona · Signals · Products · Competitors
ActionAccount profile written, tech gap flagged for the SDR
Skill
Account Research
v4v5
Account SourcingNettlecombe Systems queued
ICP AssessmentNettlecombe Systems fit scored
Meeting PreparationNettlecombe Systems readied
See all 4 capabilities Run 438 times today
Upgrade proposed
Tech stack gaps block sourcing until a second source confirms itv5
38 of today's 210 researched accounts had an unconfirmed system.
Approve upgrade to Account Research?
The current way > AI added on > AI-native

Research on repeat

Sourcing, the weekly priority call and deal review each depend on how well the company is understood, and that changes with who last looked.

01 | The Current Way

02 | AI Added On

03 | AI-Native

Building next quarter's target account list

Fit judged rep by rep

RevOps drafts the list, reps fill gaps with searches and data tools. Whether a company genuinely fits is judged differently desk to desk.

Each prompt invents its own method

A prompt returns a tidy company summary, but with no shared fit test every rep still reads it their own way, and the list stays uneven.

A list that already fits your ICP

Each account arrives researched one way and judged against the ICP RevOps owns, evidence attached. Poor fits never reach the list.

80 accounts on the list, five days to work them

The loudest accounts win the week

With no current read on the accounts, reps work the familiar names and recent inbounds. Better-fitting companies sit untouched all week.

Ranked on someone else's signals

A generic ranking weighs signals your team never chose, because your Signals memory and ICP were never inside it.

Calls go to the accounts that earn them

The week opens with accounts ordered by evidenced fit and live signals. Reps spend their calls where the research says it counts.

The deal review reopens an account last researched at sourcing

Researched again for the meeting

Before the manager asks, the rep rebuilds the company from old notes and a fresh search. What sourcing learned never reached the review.

The public web, reread from scratch

A fresh summary reads the public web and misses what the deal itself has learned, so the review hears less than the account already knows.

The review opens already informed

The review starts from current understanding: what changed since sourcing, judged by the same fit test. Nobody rebuilds it.

Referenced by

Capabilities that run this skill

Prospecting

Account Sourcing

+
SEE HOW IT WORKS

Sales

Meeting Preparation

Active
Brief built for tomorrow's Acme renewal call
Pulled live deal state 1 hour before the meeting
Flagged two deals with no next step
Both stalled 14+ days since last activity
New stakeholder added to the buying group
CFO joined, added to the account brief
+
Objection playbook matched to the call
Pricing pushback: three proven responses surfaced
2 briefs ready for your review before 9am
SEE HOW IT WORKS

Sales

Deal Assessment

+
SEE HOW IT WORKS
The Platform

One system that understands, decides, acts and learns.

Every GTM signal flows through an AI-native operating layer into a system that runs on the surfaces your team already uses.

Explore the GTM System →
GTM Data & Knowledge
CRM · Emails · Calls · Marketing · Product · Support · Documents · Research
AI-Native Operating Layer
Context · Memory · Skills · Agents · Decision Traces
AI-Native Prospecting System
Understand
ICP Fit
Account & Contact State
Buying Signals
Territory Coverage
Decide
Target Accounts
Propensity
Lead & Account Routing
Sequence Selection
Act
Outreach & Follow-up
Meeting Prep
CRM Updates
Alerts & Escalation
Learn
Upgrade ICP
Upgrade Targeting
Upgrade Messaging
Upgrade Sequences
Surfaces
CRM · Slack · Teams · ChatGPT · Claude · MCP · API
Output
Briefings · Artifacts · Alerts · Recommendations · Approvals · Actions

SEE WHY REVOPS + MARKETING LEADERS CHOOSE REVENUE LABS

The GTM teams that learn fastest will win. Build yours a system that learns.

An advantage competitors cannot buy back: years of success and failure, codified.

FAQ

What buyers ask

If it's not here, we'll answer it live.

Talk to us
What is an AI research skill?

A way of doing research that an AI agent can be handed and held to: which sources to read, how to judge fit against your ICP and Persona memories, how to state confidence and what to flag as unknown. Written down once, versioned, and shared by every capability that needs to understand an account.

How do you standardise AI account research?

By codifying the method once: the sources to check, the fit test from your ICP memory, which signals count, how confidence and gaps are stated. Every capability that needs account context invokes that same method, so the research reads the same whoever, or whatever, asked for it.

How is a Skill different from a prompt?

A prompt is one person's instruction, written fresh each time and gone when the chat ends. A skill is the method itself: written down, versioned, applying the ICP, Persona and Signals definitions your team approved, and revised when outcomes show it missed something. The method outlives its author.

Where does the finished research go?

Wherever the account comes up next: the list build through Account Sourcing, the pre-meeting briefing through Meeting Preparation, the deal verdict through Deal Assessment, while Web Research works both ways, feeding the research and reading it. Built once, consulted many times.

Does this cover the people at the account too?

People get their own method: Contact Research covers the individuals and how much each matters to the deal. Account Research owns the company itself: fit against your ICP, live signals, which of your products apply and the competitive picture from your Competitors memory. Briefings draw on both.