The AI Operating System for Demand Engineering

A frontier AI system with all the context, connections, and capabilities for demand engineering. Copley analyzes, creates, launches, and iterates in a reinforcement-learning loop to continually improve performance.

Copley runs agents to drive demand.

Connects to

  • HubSpot
  • Salesforce
  • Slack
  • ChatGPT
  • Google Ads
  • Google Analytics
  • Meta
  • LinkedIn
  • X
  • Reddit
  • Marketo
  • Cloudinary
  • Air

Stop hacking your growth, start engineering it.

Sales teams have GTM engineers. AI companies have forward deployed engineers. Marketing is next.

Demand engineers can create new website pages, ads, posts, and full campaigns today and measure them tomorrow. The feedback loops are short, the main surfaces are digital, and the limiting factor used to be creative bottlenecks.

AI changes the math, but not in the way most of the “AI for marketing” pitches suggest. The opportunity isn’t cheaper content. It’s that a small marketing team or a single agency can now operate a system that would have required a huge department: agents that analyze cross-company data, identify genuine insights, build creative variations, run experiments, watch performance, flag anomalies, and work across channels, all inside a harness where the human sees every decision and controls every output.

That’s the shift we believe in. A demand marketer produces campaigns. A demand engineer builds and runs the system that produces them.

Read more on Demand Engineering

“Last year we had an idea for a product, we set up some landing pages and ran ads to test the idea. Within 6 months we went from idea to 7 figures in ARR.Copley is responsible for 98.5% of the revenue.”
AI CEO · Copley customer

The Demand Engineering System

What is actually producing revenue, down to the idea inside the content.

Traits

The hooks, formats and angles that convert, traced from a closed-won record back to the ad that sourced it.

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Connected sources

CRM records, call transcripts, ad platforms and analytics, so all your data is in context, with bi-directional capabilities to launch everywhere.

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Cross-channel analytics

Spend, leads, pipeline, monitoring and detection across all channels.

ChannelSpendCAC
LinkedIn$18,400$484
Meta$12,900$614
Google$9,600$686
Reddit$4,200$700

Reports

Reports that bring in data from every source, connects performance to specific traits, and recommendations to make the data immediately actionable.

Weekly performance report

Decide what to run next, powered by experimentation infrastructure, not vibes.

Agents

Everything Copley knows is already in context, so the answer arrives with its evidence attached.

Which of our traits are actually producing revenue?
You have 53 traits above the median cost per lead, see this chart…

Audiences and traits

Optimize content based on the traits that perform and the audiences they perform for, unique to your company.

Security-led positioningSwitching from a competitorCompliance deadlineSeries B and up

Launch calendar

Every channel in one calendar, so a launch is a plan rather than coordination between 5 different platforms.

Mon
Tue
Wed
Thu
Fri

Budget by channel

Where to put your next dollar, based on what is actually performing.

LinkedIn$18,400
Meta$12,900
Google$9,600
Reddit$4,200

Produce at a volume that used to take multiple departments.

Brand kit

Brand Kit, guidelines, colors, fonts, claims and assets, so volume never comes at the expense of being on brand.

Your voiceAa Bb Cc

Ad creative

Built for performance, on brand, and optimized for each channel.

LinkedIn
Meta
Reddit
X
ChatGPT
Google

Landing pages

Consistency from ad to form submit, testing, built in minutes, and published on your domain.

Your SOC 2 is not what is stalling the deal.Get the guide

Multi-modal

Images, Videos, and Pages. Generation of net-new and editing of existing assets across every asset type. With native aspect ratio handling.

Images
Video
Pages
Editing

Ship, measure, and feed the result back into what gets made next.

Review queue

Approve, reject, or send back with a note. The agents generate; you decide what ships.

Approve
Reject
Edit
Hold

Variants at volume

A hundred tests where there used to be three.

Refresh

Creative that is going stale gets flagged and rebuilt against what is working now.

Week 14.8%
Week 33.6%
Week 52.1%
Refreshed4.6%

Scheduled runs

Agents run 24/7, constantly working for you behind the scenes to keep you winning.

Overnight run

Inputs

Connect the systems, not another content brief

Copley pulls customers and lost deals from your CRM, transcripts from your call recorder, and every asset in your library. It keeps the map between a customer and the creative that sourced them, so attribution is not a quarterly archaeology project.

  • HubSpot and Salesforce, including custom stages
  • Gong and Fireflies call transcripts
  • Your docs, decks, case studies and brand kit
  • Ad platform spend and conversions, refreshed daily
Sources
HubSpot
1,284 records · 9 stages
Gong
318 calls this quarter
Brand kit
Voice, colors, 42 assets
Ad platforms
4 connected · synced 06:00

Outputs

Consistent experiences to improve conversions

The same understanding of your buyer produces the paid creative, the landing page it points at, the organic post, and the video cut. Everything shares one voice and one consistent experience.

  • Paid creative for LinkedIn, Meta, Reddit, X, ChatGPT and Google
  • Landing pages that match the ad that sent the click
  • Organic posts and founder-voice video scripts
  • Weekly reports written for the person who reads them
This week's output
LinkedIn
14 ads live
Meta
22 ads live
Google
8 RSAs
Reddit
6 ads live
Pages
5 published
Video
3 cuts rendered

See what your own data has been trying to tell you