Ad platforms
- Google and Meta campaign data
- Spend, click IDs and pixel events
- The ad that generated every click
AI coworkers that get jobs done in the same systems as your team.
Open a ticket. An agent does the work in the same platform your team uses — with the full context of your campaigns, and nothing goes live without your approval.
Almost every tool out there is built with human operators in mind.
Point solutions were designed for a person to log in, read a dashboard and make a change — one tool at a time.
ngen brings all the data into one place, lets agents make decisions across it, and pushes adjustments across all of your tools to grow the revenue from your paid customer acquisition.
image
The agents.
Conversion Agent
Reads the whole journey, ad to sale. Proposes the next experiment with the evidence behind it. The one most teams want first.
Creative Agent
Reads what is winning, your brand and your offers. Drafts the next round of ad variants.
Landing Page Agent
Reads the approved ad. Builds the page that keeps its promise and proposes the destination change.
Call Agent
Reads every call with the ad and page that preceded it. Extracts intent and structured details using your own prompts, then links them to the sale.
Signal Agent
Reads the appointment, the estimate, the signature. Sends each one back to Meta and Google as a conversion.
Reporting Agent
Reads the warehouse. Answers in plain language.
Sanity Check Agent
Reads the other six. Flags what does not hold up.
What an agent sees.
Your funnel
- Landing page analytics
- Call recordings and transcripts
- CRM records and outcomes
Everything else
- Metadata from every point solution
- Your conversion values and expected values
- What was tried, and who approved it
What changes when the tools are built for agents.
Built for human operators
Built for agents and humans
Data in each tool's silo
All campaign data in one warehouse
You read the dashboard
Agents reason and propose
Changes made tool by tool
Adjustments pushed across every tool
Optimize for the lead
Optimize for sold projects
Coordination calls and email chains
Tickets, with a log
Agents propose. People approve. Everything is logged.
Agents don't act until assigned. When they do, every step is supervised:
Spend
No ad spend goes through without a person approving it.
Variants
No creative or landing-page variant goes live without review.
Campaigns
No campaign is paused or shut down without a person signing off.
Your systems
No data is modified in your CRM, call tracking or lead tools without approval.
Signals
No signal is sent to the ad platforms without human-defined conversion values.
Audit
No action without a log entry
which agent, what time, who approved.
FAQs
build status · not part of the page
AI Marketing Agents — 100% of copy written
14 / 14 fields
7 sections
- 01aa-hero
State the promise for this capability in one line. No proof, no feature list.
- 02aa-problem
Name the failure mode this exists to fix, before offering the fix.
- 03aa-agents
Name the agents and what each one does. Lead with the one they'd want first.
- 04aa-context
Show the context an agent works with, so 'agent' stops being abstract.
- 05aa-contrast
Contrast with tools built for human operators.
- 06aa-governance
Where ngen differentiates: approval gates, roles, audit trail. Lifted from 0.7.
- 07aa-faq
Objections too specific for the page body. Main organic-search surface.
aa-hero 100%aa-problem 100%aa-agents 100%aa-context 100%aa-contrast 100%aa-governance 100%aa-faq 100%
rendered from content/site.json · generated from ngen_website_content.xlsx · re-run scripts/xlsx_to_json.py after editing the workbook