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How Knock AI Builds Your Private Relationship Graph

How Knock AI Builds Your Private Relationship Graph

How Knock AI Builds Your Private Relationship Graph

Knock AI builds a private Relationship Graph that maps the commercial relationships your company already has across people, accounts, customers, and your team. It starts by learning what your best customers look like, then uses AI to connect your existing relationship history, buying committees, network connections, and engagement signals into one company-specific graph.

The result is a living picture of who matters to your business, who you already know, how you know them, and how strong that relationship is.

What is the Knock Private Relationship Graph?

The Relationship Graph is Knock’s model of the relationships between your company and the people and accounts around it.

A CRM can tell you that a contact exists. Knock goes further by understanding the commercial context around that contact:

  • Is this company part of your ICP?
  • Which ICP group does it belong to?
  • Has anyone on your team worked with this person before?
  • Does one of your existing customers know this person?
  • Which people at this account have already interacted with your company?
  • Who are the relevant decision makers you still do not know?
  • What is the complete history between this person and your company?
  • Has this person engaged with your company or your team socially?
  • How strong is the relationship today?

Knock connects these signals instead of treating every contact, activity, and account as an isolated record.

How does Knock AI understand your ICP first?

Before Knock can understand which relationships matter, it first needs to understand what a valuable customer looks like for your business.

Knock analyzes the historical customers and opportunities in your connected CRM and enriches those companies with more than 120 company and market signals.

Knock AI then runs a deep analysis across your customer history to find patterns that would be difficult to identify from CRM fields alone.

Instead of defining your ICP only as “B2B companies with 500+ employees,” Knock can uncover the combinations of characteristics that repeatedly appear in your highest-value customers.

You can review this analysis and define the ICP groups you want to prioritize in Knock.

How does Knock map your company network?

Once Knock understands your ICP, it runs an AI relationship analysis across your company network.

Knock connects people, accounts, CRM history, professional relationships, buying committees, engagement, and available network signals to reconstruct the relationships your company has already built.

Instead of starting every new opportunity from zero, Knock asks:

What relationship does our company already have with this person and this account?

Relationships through your own team

Knock identifies members of your company who already have a relationship with the person.

This can reveal relationships that may not be obvious from the current CRM owner alone, including previous professional connections and historical interactions.

Knock can use this context to understand:

  • Who on your team knows the person
  • Who previously interacted with them
  • Which rep has the strongest existing relationship
  • Whether there is a natural path for a warm introduction

Relationships through your customers and network

Your team is not the only source of relationships.

Knock can identify connections between a person and companies or people your business already has a relationship with.

For example, a decision maker at a target account may know someone from an existing customer, creating a stronger path into the account than cold outreach.

This turns your existing customer network into part of the commercial relationship graph.

Existing relationships inside the target account

B2B relationships happen at the account level, not only at the individual contact level.

Knock maps the people at the same company that your team already knows and connects them to the wider buying committee.

For each account, Knock can build a picture of:

  • Champions and influencers you have engaged with
  • Current relationship owners
  • Relevant buying committee members
  • Important roles where no relationship exists yet

This lets your team understand its relationship coverage across an account.

An account with six relevant decision makers and three existing relationships should not be treated the same way as an account where your company knows nobody.

How does Knock AI understand your relationship history?

Knock connects the historical interactions available around a person instead of looking only at their latest activity.

The graph can include context such as:

  • Previous CRM activity
  • Past opportunities
  • Previous conversations on WhatsApp, iMessage, Telegram, Slack, LinkedIn
  • Meetings
  • Previous emails
  • Outreach and responses
  • Previous account relationships
  • Professional history
  • Previous engagement in Social
  • Previous engagement signals such as website visits, product enteraction, off-site engagement
  • Offline engagement

This gives Knock memory of the relationship over time.

If someone returns months later, joins a different company, appears in a new buying committee, or starts showing intent again, Knock can evaluate the new activity in the context of the relationship that already exists.

How does social engagement become relationship context?

Commercial relationships do not exist only inside the CRM.

Where available, Knock can incorporate social engagement between a person, your company, and members of your team.

For example, Knock can use signals such as engagement with company or team content as additional context around the relationship.

These signals do not replace direct conversations or CRM history. They add another layer that can show whether someone has been gradually engaging with your company before they become an active opportunity.

From individual signals to one commercial relationship

The important part of the Relationship Graph is not any individual data point.

It is what Knock can understand when those signals are connected.

For a person at a target account, Knock can build a commercial picture that includes:

Who they are

Their role, seniority, company, professional background, and likely buying committee role.

How valuable the account could be

Their ICP group, company characteristics, and historical similarity to your best customers.

Who you already know

Existing relationships through your team, customers, and other people at the account.

What has happened before

Conversations, meetings, CRM activity, outreach, social engagement, and previous commercial history.

How well you cover the account

Which buying committee members you already know and which important relationships are missing.

How strong the relationship is

The depth and history of the existing connection between the person, account, and your company.

That context gives Knock a much stronger basis for deciding what should happen next.

What can you do with your Relationship Graph?

Knock allow you to use the relationship graph as context across AI conversations, outreach, qualification, routing, analytics, and account strategy.

This means every action can start with an understanding of who this person is, what relationship already exists, what has happened before, and how important the account is to your business.

Give AI agents the full relationship context

When a lead starts a conversation, the AI inbound SDR does not need to treat them as a new anonymous visitor.

The agent can use the relationship context Knock already has to understand:

  • Who the person is
  • Which account and ICP group they belong to
  • Whether your company already has a relationship with them
  • Who on your team knows them
  • Previous conversations and interactions
  • Other decision makers your company knows at the account
  • Their current commercial relationship with your company

This lets the AI agent continue the relationship instead of restarting it.

For example, the experience for an existing customer, a former champion now working at a target account, and a completely new prospect can be different because Knock understands the context behind each relationship.

Personalize outreach using existing relationships

You can use the Relationship Graph to make outreach relationship-aware.

Instead of starting with a cold list of contacts, you can understand the best path into an account before engaging it.

Knock can identify:

  • Prospects who already know someone on your team
  • Accounts where you already have relationships with decision makers
  • People connected to existing customers
  • Previous champions who moved to a new company
  • Accounts where your team has partial buying committee coverage
  • Relationships that should be reactivated based on new intent

Outreach can then use this context to determine who to contact, who should reach out, and what existing relationship should be referenced.

Qualify and route leads using relationship context

Qualification should not depend only on firmographic data or a single intent signal.

Knock can combine ICP fit, intent, CRM history, buying committee information, and existing relationships when deciding how a lead should be handled.

For example, your routing rules can prioritize a person differently when they:

  • Belong to a high-priority ICP group
  • Are already connected to a rep
  • Are an existing customer or previous opportunity
  • Have a strong relationship with someone on your team
  • Come from an account with an active opportunity
  • Are part of a buying committee your team is already engaging

This lets Knock route the conversation to the rep with the right relationship, not simply the next available rep.

Analyze your GTM using relationship data

The Relationship Graph also creates a new layer for GTM analysis.

Instead of only asking which campaigns generated leads, you can analyze how relationships affect commercial outcomes.

For example, you can explore:

  • Which ICP groups generate the most revenue
  • How relationship strength affects conversion
  • Whether accounts with existing connections convert faster
  • Which team members create the strongest relationship networks
  • How much buying committee coverage you have across target accounts
  • Which relationship paths create opportunities
  • Which accounts show intent but lack the relationships needed to progress

This connects marketing and sales performance to the relationships behind the results.

Build ABM strategies around your real network

You can use the Relationship Graph as the foundation for account-based marketing and sales strategies.

Instead of building an ABM list from firmographic fit alone, you can prioritize accounts based on a combination of:

  • ICP group
  • Buying intent
  • Existing relationship strength
  • Buying committee coverage
  • Customer connections
  • Previous commercial history
  • Missing decision-maker relationships

For each account, Knock can show not only whether you should target it, but also how your company should enter and expand the relationship.

For example, one target account may require creating a completely new relationship. Another may already have three known decision makers, a former customer champion, and a connection through an existing customer.

Those accounts should not receive the same ABM strategy.

Relationship context becomes infrastructure for every GTM action

The value of the Relationship Graph is that the same context can follow the person and account across Knock.

AI agents use it to communicate.Outreach uses it to engage.Qualification uses it to prioritize.Routing uses it to assign the right rep.Analytics uses it to understand performance.ABM uses it to decide where and how to build relationships.

Instead of every GTM system starting from a lead record or isolated signal, Knock starts with the relationship your company already has.

How does the graph improve over time?

Your Relationship Graph is not a one-time CRM analysis.

As Knock sees new conversations, meetings, account activity, relationships, engagement, and CRM outcomes, it gains additional context about your commercial network.

That means the graph can continue to reflect:

  • New relationships your team creates
  • New buying committee members
  • Changes in account coverage
  • New customer and opportunity outcomes
  • New engagement from existing relationships
  • People moving between companies
  • Changes in relationship strength

Your company builds more relationship intelligence as more of its GTM activity becomes connected.