RLVNT/ CONTENT

Intelligence

The market is talking. Constantly.

RLVNT monitors what changes outside your company and what’s said inside it—then connects the two.

Live intelligence feed

A working example, from Meridian.

Fictional demo company. Real structure.
Competitive signal

Competitor increased enterprise pricing 18%.

Sarah has spoken repeatedly about unsustainable SaaS pricing. We found 27 customer conversations discussing pricing pressure.

Public pricing page · CRM · Gong

2h ago
Very high
Customer pattern

“Implementation complexity” appeared in 37 sales conversations this month.

+41% versus previous month. Concentrated in 250–1000 seat deals.

Call intelligence

Today
Very high
Market signal

New analyst research supports an argument your CTO made six months ago.

We found the original interview and the timestamp.

Industry research · Interview archive

Yesterday
High
Internal signal

Pricing experiment across 3 markets concluded.

Net revenue retention moved 6 points. No public commentary yet.

Company analytics

3d ago
High
Customer pattern

CFOs are entering deals 2 stages earlier.

Detected in 19 opportunities this quarter.

CRM

4d ago
Medium

What’s already inside your company?

Your company already knows things the market doesn’t.

RLVNT turns institutional knowledge into intellectual property—and intellectual property into demand.
CEO conversationsExecutive interviewsSales callsGongSlackTeamsCustomer interviewsCRMSupport ticketsProduct dataCustomer researchSurveysCompany analyticsMarket intelligenceCompetitive intelligenceInternal documentsIndustry newsEmployee expertise

Company
Intelligence
Graph

  • Ideas
  • Patterns
  • Contrarian opinions
  • Customer pain
  • Market changes
  • Stories
  • Evidence
  • Expertise
  • Predictions
  • Research opportunities

Don’t generate thought leadership. Extract it.

Signal → Content

Your next great piece of content might already be happening.

RLVNT doesn’t wait for someone to ask, “What should we post today?” It continuously discovers what the company should be talking about.
Signal detected

Competitor increased enterprise pricing 18%.

Why this matters
  • Sarah has spoken repeatedly about unsustainable SaaS pricing.
  • We found 27 customer conversations discussing pricing pressure.

Content opportunity: VERY HIGH

We’ve started working on it →
Customer pattern

“Implementation complexity” appeared in 37 sales conversations this month.

Why this matters
  • +41% versus previous month.

Possible POV: The hidden cost of enterprise software isn’t licensing. It’s implementation.

Develop this idea →
Market signal

New Gartner research supports an argument your CTO made six months ago.

Why this matters
  • We found the original interview.

Evidence: Verified · Archive match

Turn it into content →

Proprietary content engine

Say something ChatGPT couldn’t know.

The RLVNT publishing rule: every flagship piece of content must contain something the public internet didn’t already know.
Company data

“We analyzed 14 million transactions…”

Customer intelligence

“We reviewed 2,700 sales conversations…”

Executive experience

“After selling enterprise software for 17 years…”

Original research

“We surveyed 417 CFOs…”

Internal experiment

“We changed our pricing model across 3 markets. Here’s what happened.”

Customer interviews

“We asked 25 CIOs why AI projects actually get rejected.”

That’s content competitors can’t prompt into existence.

Content memory

Your content operation develops a memory.

Traditional agencies forget. ChatGPT sessions forget context. RLVNT compounds intelligence.
Company memory
PeopleOpinionsStoriesResearchCustomer patternsBrand rulesMarket signalsExperimentsSuccessful narrativesFailed narrativesAudience behaviorPerformanceRevenue outcomes

Every interview, idea, publication, audience reaction and business outcome makes the system smarter. RLVNT learns:

  • What Sarah believes.
  • What CFOs respond to.
  • Which arguments generate conversations.
  • Which stories salespeople reuse.
  • Which topics generate pipeline.
  • Which narratives have become saturated.
  • Which predictions proved correct.

Month 12 should be dramatically smarter than Month 1.

From content to demand

Stop measuring content like a media company.

RLVNT learns which ideas don’t merely generate engagement—but actually create commercial outcomes.
Post · LinkedIn · Sarah Chen
  • Impressions0
  • Engagements0
  • Target-account engagements0
  • Executive interactions0
  • Conversations0
  • Opportunities0
Influenced pipeline
$0K
ContentAudienceAccountConversationOpportunityRevenue
Attribution sources
HubSpotSalesforceLinkedInGoogle AnalyticsGong

Integration placeholders. Nothing is connected until you connect it.

Integrations

Where the intelligence comes from.

Connectors are designed, not live. Nothing reads your data until you explicitly connect it.
OpenAIPlanned
AnthropicPlanned
LinkedInPlanned
HubSpotPlanned
SalesforcePlanned
GongPlanned
SlackPlanned
Microsoft TeamsPlanned
Google AnalyticsPlanned
Google Search ConsolePlanned
NotionPlanned
Google DrivePlanned

There are already enough words on the internet.

Add something worth knowing.

Discover the ideas, expertise and proprietary intelligence already hiding inside your company.