Content engines and outbound motions that closes deals

Paraphrase builds research driven targeted outbound motions, turns your customer stories into proof assets, and creates content engines so LLMs recommend you.

Run GTM like an engineered system

Targeted Outbound

Reach the right buyers with the right message

Generic outreach gets ignored. We learn your buyer well enough that yours gets read.

  • Deep research into your real buyers: what sets them off, what they doubt, and the words they actually use
  • A targeted list built from that research: the actual decision-makers who fit, not scraped names
  • Outreach that lands because it's built on how your buyer thinks, not on guesses

Market & Gap Research

Know exactly where to grow next

Before you spend a quarter chasing a market, find out if it's really there.

  • The real size of your market: TAM, SAM, and SOM for your actual offer
  • Where your competitors are strong, and where they're exposed
  • The content gaps your competitors leave open, so you know exactly what to publish to get found
  • The next markets worth entering, ranked by how reachable they are now

Proof & Content Ecosystem

Be the name buyers trust before they reply

Even when they ask an AI instead of Google.

  • Real case studies with real numbers, built from customer interviews
  • One interview turned into 8 to 12 assets: quotes, before-and-after proof, posts, one-pagers
  • Content built to rank on Google and get recommended by ChatGPT, Perplexity, and AI search
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Diagnose  123 / 3
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Build  123 / 3
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Execute  123 / 3
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Improve  123 / 3

Current situation analysis

It all starts with a clear picture of how your pipeline actually gets made today, and where it quietly leaks. That's how the real problem gets fixed instead of the symptom.

Information gathering

From there, the raw material across your whole GTM gets pulled into one place: your real ICP signals, the accounts worth pursuing, the proof already sitting unused, where competitors rank and get cited, and where you're invisible to search and AI.

Blueprint creation

Once that's gathered, it becomes a one-page plan per persona, the thing both your outreach and content run on: their real pain, what it costs the business, the proof that answers it, the objection that stalls them, and the topics and messages that move them.

Market analysis

Building starts with knowing the ground: the real size of your market, sized for your actual offer, with TAM, SAM, and SOM. Then where competitors are winning, which content gaps sit wide open, and which adjacent markets are reachable right now.

Breaking down

Next, your best customer stories get broken into proof you can reuse: long and short case studies, persona one-pagers, outreach snippets, and objection-handling blocks. One interview turns into eight to twelve assets.

Decide and prioritise

With the proof in hand, the content gets planned and put in order: deep articles, founder posts, comparison guides, and technical explainers, each built from real ICP pain, keyword gaps, and the questions buyers ask in Google, Perplexity, ChatGPT, and on sales calls.

Systematised production

Execution starts with the targeting: every account researched by hand against ICP fit, signal quality, and persona relevance, down to the angle that makes your message worth opening. No scraped lists.

Design the multichannel campaigns

From that list, the proof snippets become persona-specific sequences across email and LinkedIn, with long-horizon follow-up that treats a reply, a soft maybe, and a not-now differently.

Start building content assets

Running alongside it, your articles, founder posts, and research go live on a steady cadence, built to rank in Google and get cited by ChatGPT, Perplexity, and AI search. So buyers find you when they look, and already know you when the outreach lands.

Funnel gaps

It starts with the full picture: every deal tracked from target account to reply, MQL, SQL, opportunity, and close. So where deals move and where they stall is visible, and the guessing stops.

Nail the messaging

From there, the weekly signals get read in one place: reply rates, meeting quality, the objections coming up most, how content is performing, and whether AI search is surfacing you. So the next campaign and the next article are built on what the last ones proved.

Every asset is tied to the outcome

And it closes the loop: every customer interview turns into case studies, one-pagers, outreach snippets, LinkedIn posts, newsletter ideas, and sales-room proof your team can reuse. Nothing stays in the system that isn't earning a reply, a ranking, or a deal.

GTM System

Proof Sprint

ICP & Segments

Customer Interviews

Proof Library

Outbound Campaigns

Pipeline Dashboard

ICP information
Existing content
?Discovery questions
Content calls
Call transcripts
ICP information
Existing content
?Discovery questions
Content calls
Call transcripts
knowledge base
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