Claude, ChatGPT & more

Run launches through AI agents, without losing control

Use UXON as the operational layer for page requests, approvals, conversion setup, domains, scripts, brand controls, and agent-led actions. Keep launches moving without handing every task to a developer or losing governance.

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Run launches through AI agents, without losing control

Request pages with the brief already built in

Collect client status, destination, funnel type, offer, audience, and page context before production starts. Hand overflow work to UXON, review delivery notes, and keep the team notified when the page is ready.

Landing page request intake
Landing page delivery preview

Keep approvals under control

Time-box feedback windows

Time-box feedback windows

Set a defined review window for comments or AI-assisted approvals so client feedback does not stay open until the launch date slips.

Turn comments into decisions

Turn comments into decisions

Use AI approval review to classify feedback as implement, test, or idea, so unclear comments stop turning into unbilled rework.

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Launch with conversions ready

Switch on supported conversion capture before traffic goes live. Forms, Shopify, Klaviyo, and key events can be mapped faster, so new pages start reporting outcomes without another manual Tag Manager rebuild.

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Capture conversion events automatically

Connect domains and scripts

Publishing is not finished when the page looks right. Connect the domain, assign global scripts, and whitelist approved data sources so launch setup, tracking, and data quality are handled before traffic scales.

  • Domain connection

    Domain connection

    Connect a root domain or subdomain with guided DNS steps, then send a pre-filled setup email when a developer needs to help.

  • Global scripts

    Global scripts

    Add tracking and utility scripts once at domain level, then apply them across the pages that need them.

  • Domain whitelisting

    Domain whitelisting

    Control which domains can send pixel data so test environments, wrong-brand installs, and stray events do not pollute reports.

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Centralize brand and setup

Set brand foundations before builds start, then reuse them across requests, pages, agents, and delivery workflows. Faster setup matters most when one team manages many clients.

Import
ImportPull logos, colors, and fonts from a client URL, then review the brand system before production begins.
Colors and fonts
Voice
Global scripts
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Control AI usage without slowing agents

Use included AI capacity or connect your own API key for heavier workflows. Keep cost control, access boundaries, and agent usage inside the same operational layer.

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Control AI usage

Turn launch work into the next roadmap

  • Document new ideas, iterations, expected lift, owners, and status before the next experiment goes live.

  • Pull current experiment status and confidence into the plan so strategy docs do not drift from live performance.

  • Keep wins, losses, and inconclusive reads searchable, so future campaigns build on memory instead of repeating old tests.
Explore planning and forecasting
Plan the next test

Conversion lifts across real client funnels

Frequently asked questions

Launch operations is the control layer for getting post-click work from request to tracked launch. It covers page requests, review windows, conversion setup, domains, scripts, brand setup, and governed AI agent workflows.
Yes. Agents can use controlled workflows for actions like creating pages, importing code, managing experiments, reading analytics, creating sub-accounts, and connecting domains, depending on the permissions you grant.
It standardizes the tasks that normally create delay: unclear briefs, scattered feedback, missing tracking, domain setup, brand setup, and manual handoffs. Cleaner intake and controlled approvals reduce rework before launch.
Yes. Shared previews and comments keep feedback tied to the page experience, so teams do not have to reconcile screenshots, Slack threads, email notes, and stale documents.
Domains, global scripts, and domain whitelisting sit in the same workflow as page launch, so teams can publish under the right brand, apply tracking once, and reduce noisy attribution data.

The post-click layer for AI-built campaigns

Import pages from anywhere, run A/B tests and see which experiences generate more leads, calls, and revenue.