AI app for marketing · no coding needed
Source-linked content and campaign operations console
Reduce tool sprawl and keep every content draft, experiment and ad change source-linked and approved.
Made for: Marketing teams and agencies running content and paid campaigns across several platforms
What it does for you
The problem
Content drafting, campaign experiments and cross-platform reporting sit in separate rented tools, so approvals, evidence and account changes are hard to trace.
What it gives you
Approved content drafts, experiment verdicts and shipped ad changes
What you give it
Brand guidelinesaccount datacampaign historyplatform exports
Build your own version of NYX, GoodLads and more
One app with what these 4 AI tools do, yours to keep and change: NYX, GoodLads, Toffu AI, HireOtto.
Everything these tools do, in one app
- AI text generation Generates written content such as articles, blogs, and social media posts.Found in NYX
- Context-aware editing Provides editing suggestions to improve clarity and tone.Found in NYX
- Idea brainstorming Helps users overcome writer's block by generating ideas.Found in NYX
- Customizable output styles Allows users to adjust output to match different writing styles.Found in NYX
- CMS integration Connects with popular content management systems.Found in NYX
- Hypothesis generation Generates hypotheses to improve ROAS or CPA based on account data and expert experience.Found in GoodLads
- One-click change approval Ships approved changes to Google Ads in one click, with no changes going live without user approval.Found in GoodLads
- Kanban experiment tracking Tracks each experiment on a kanban board from proposal to verdict.Found in GoodLads
- Statistical testing Uses statistical testing to determine experiment outcomes, with verdict timing dependent on click volume and impact size.Found in GoodLads
- Alternative optimization approaches Applies optimization approaches that differ from Google's built-in recommendations, such as reducing target CPA instead of increasing budget.Found in GoodLads
- Marketing tool integration Integrates with major marketing tools such as Google Analytics, Search Console, Google Ads, Meta Ads, and LinkedIn Ads.Found in Toffu AI
- Automated PPC campaign management Automates creation and management of PPC campaigns across multiple platforms including Google, Meta, and LinkedIn.Found in Toffu AI
- SEO support Provides keyword research, content generation for blogs and social posts, and updates via Google Sheets.Found in Toffu AI
- Real-time performance monitoring Monitors analytics and ad performance in real time with instant adjustments based on data.Found in Toffu AI
- Consolidated reporting Pulls data from various sources and delivers insights directly to Slack or email.Found in Toffu AI
- Cross-platform data querying Queries and analyzes data from Google Ads, LinkedIn Ads, Google Analytics 4, Google Tag Manager, and Search Console through a connected AI client.Found in HireOtto
- In-conversation ad changes Makes supported changes inside Google Ads and LinkedIn Ads without leaving the conversation.Found in HireOtto
- Hosted authentication and API Hosted MCP servers manage authentication and API connections, requiring no local setup.Found in HireOtto
- Additional context from Tag Manager and Search Console Provides additional context during account investigation via Tag Manager and Search Console.Found in HireOtto
How it works, step by step
- Generate articles, blogs and social posts from approved briefs
- Suggest context-aware edits for clarity and tone
- Brainstorm ideas from brand and audience context
- Apply customizable output styles per channel
- Publish approved content to connected CMS
- Generate ROAS and CPA hypotheses from account data
- Ship approved changes to Google Ads in one click
- Track each experiment on a kanban board to verdict
- Run statistical tests on experiment outcomes
- Apply optimization approaches beyond platform defaults
- Connect Google Analytics, Search Console, Google Ads, Meta Ads and LinkedIn Ads
- Create and manage PPC campaigns across platforms
- Support keyword research and Google Sheets content updates
- Monitor analytics and ad performance in real time
- Deliver consolidated reports to Slack or email
- Query cross-platform data through a connected AI client
- Make supported ad changes inside Google Ads and LinkedIn Ads in conversation
- Manage authentication and API connections through hosted servers
- Pull extra context from Tag Manager and Search Console
- Compare the reviewed result with the recorded baseline and value assumptions
- Capture corrections and named-owner approval before consequential use
- Export a versioned approved content drafts, experiment verdicts and shipped ad changes with source references and unresolved questions
Build it yourself with your AI system
Build this app yourself, no coding needed
Start with a quick version you can try in a few minutes. Like it? Then build the full app by copying and pasting our step-by-step instructions: everything is prepared for you.
Sign in to see how to build it yourself
Build a quick version to try, or get the full app pack for Source-linked content and campaign operations console with the step-by-step building instructions. You don't need any technical skills: you copy, paste and answer a few questions. Both are included in the membership.
4 Have it built for you days to a few weeks
Rather not do it yourself, or want it fully tailored to your data, your way of working and your brand? Nexibeo builds Source-linked content and campaign operations console with you.
What's in the app pack
Included in the Complete AI Training membership.
- The building instructions your AI follows, step by step
- The questions your AI will ask you about your business before it starts
- A clickable demo you can open in your browser, to see how it should work
- A detailed blueprint of the screens, the information it keeps and the checks it runs
Become a member to get the app packAlready a member? Sign in
The files, for the technically curious
- START-HERE.mdHow to build it with your own AI (read first)3 KB
- README.mdOverview and links4 KB
- questions.mdQuestions to answer before you build3 KB
- prompt-cloudflare.mdThe full build prompt, hosted on Cloudflare27 KB
- prompt-vps.mdThe same build on your own server (Docker)27 KB
- spec.jsonData model, API, AI pipeline, acceptance criteria12 KB
- demo/index.htmlThe working demo on sample data195 KB
Questions
Do I need to know how to code?
No. You copy and paste the prompts on this page into ChatGPT or Claude, and the AI does the building. When it asks you something, you answer in your own words.
What does it cost?
The quick version, the app pack and the step-by-step instructions are for members: you pay the membership price, not a price per app (see the plans). Building the full app uses your own ChatGPT or Claude subscription. Putting it online is often cheap or no cost at the start, and your AI tells you before anything costs money.
How long does it take?
The quick version: about two minutes. The real app: an afternoon for a first version you can use, longer if you want every feature.
Can I change it to fit my business?
Yes. Tell your AI what to change in plain words, like “add a column for the price” or “use our logo and colours”. Or have Nexibeo build and customise it for you.
More detailsHow the AI works, safeguards and what to build first
Reduce tool sprawl and keep every content draft, experiment and ad change source-linked and approved. For marketing teams and agencies running content and paid campaigns across several platforms, convert brand guidelines, account data, campaign history and platform exports into approved content drafts, experiment verdicts and shipped ad changes. The benefit is a testable hypothesis, measured through approved assets per marketing hour and verified campaign changes per review cycle; do not assume that AI output alone produces business value.
Confirm the buyer's problem and scope, collect brand guidelines, account data, campaign history and platform exports, then follow this sequence: 1. Generate articles, blogs and social posts from approved briefs. 2. Suggest context-aware edits for clarity and tone. 3. Brainstorm ideas from brand and audience context. 4. Apply customizable output styles per channel. 5. Publish approved content to connected CMS. 6. Generate ROAS and CPA hypotheses from account data. 7. Ship approved changes to Google Ads in one click. 8. Track each experiment on a kanban board to verdict. 9. Run statistical tests on experiment outcomes. 10. Apply optimization approaches beyond platform defaults. 11. Connect Google Analytics, Search Console, Google Ads, Meta Ads and LinkedIn Ads. 12. Create and manage PPC campaigns across platforms. 13. Support keyword research and Google Sheets content updates. 14. Monitor analytics and ad performance in real time. 15. Deliver consolidated reports to Slack or email. 16. Query cross-platform data through a connected AI client. 17. Make supported ad changes inside Google Ads and LinkedIn Ads in conversation. 18. Manage authentication and API connections through hosted servers. 19. Pull extra context from Tag Manager and Search Console. Resolve uncertain cases with qualified reviewers, approve approved content drafts, experiment verdicts and shipped ad changes, and measure approved assets per marketing hour and verified campaign changes per review cycle against a documented baseline.
How the AI works
Use AI to interpret permitted inputs, suggest structured mappings and generate candidate outputs for the stated task modules. Use deterministic code for arithmetic, schema validation, hard constraints, statistical tests and reproducible checks. Review source-linked explanations and uncertainty before accepting results. One connected ad account set and approved brand style guide; final publishing, budget changes and campaign verdicts remain human. A model suggestion is never a verified fact, professional decision or authorization to act.
Safeguards
Preserve brand voice, source attribution, claim accuracy and usage permissions. Marketers approve substantive changes and publishing scope. One connected ad account set and approved brand style guide; final publishing, budget changes and campaign verdicts remain human. Keep all consequential actions under authorized human control and do not fabricate missing inputs, permissions, professional judgments or market evidence.
What to build first
Pilot scope: One connected ad account set and approved brand style guide; final publishing, budget changes and campaign verdicts remain human. Implement one approved input format, a bounded representative case set and the first two task modules: generate articles, blogs and social posts from approved briefs; suggest context-aware edits for clarity and tone. Support the remaining modules with operator review: brainstorm ideas, apply output styles, publish to CMS, generate hypotheses, ship approved changes, track experiments, run statistical tests, apply alternative optimization, connect platforms, manage PPC campaigns, support keyword research, monitor performance, deliver reports, query cross-platform data, make in-conversation changes, manage authentication and pull Tag Manager and Search Console context. Include source references, corrections, basic organization access, approval states, export and value measurement. Use managed operator assistance for unresolved exceptions. The cost estimate covers this narrow prototype, not unrestricted multi-tenant scale, complex production integrations, specialist certification or physical operations.
What it can connect to
Google Analytics, Search Console, Google Ads, Meta Ads, LinkedIn Ads, Google Tag Manager, connected CMS and Slack or email. Start with file exchange and validate destination specifications before promising direct publishing. Start with authorized file exchange. Validate current provider access, usage rights and schema behavior before promising a connector.
The screens in detail
Primary screens: Brand and channel setup, Content and experiment workbench, Approval and delivery. Use a thumbnail gallery for campaigns and drafts, a large central editing canvas, and a right-hand panel for sources, constraints and comments. Let users compare content versions and experiment variants side by side. Display draft, changes requested, approved and shipped states. Provide a client preview link with comments anchored to the relevant asset. Make the task-specific outcome approved content drafts, experiment verdicts and shipped ad changes visible beside its evidence, review state and value baseline.
