AI app for marketing · no coding needed
Evidence-backed marketing analysis and content workspace
Reduce the gap between measured campaign data and published marketing copy.
Made for: Marketing and growth teams that analyze campaign data and produce written content
What it does for you
The problem
Campaign data sits in several tools while written content is drafted elsewhere, so analysis, evidence and published copy drift apart.
What it gives you
Reviewer-approved analysis and content linked to their evidence
What you give it
Connected analyticsadvertisingwarehouse sources plus brand style rules
Build your own version of Avian, Avian ChatGPT Plugin and more
One app with what these 8 AI tools do, yours to keep and change: Avian, Avian ChatGPT Plugin, Findly, Uplyt Copilot, Fabi.ai Analyst Agent, Roadway, ZylerAI, Tabula.
Everything these tools do, in one app
- AI content generation Automatically generates written content such as articles, blogs, and marketing materials.Found in Avian, ZylerAI
- Tone and style customization Allows users to adjust the tone and style of generated text to match different writing needs.Found in Avian, ZylerAI
- Grammar and spell checking Checks and corrects grammar and spelling to ensure polished output.Found in Avian, ZylerAI
- Collaboration tools Enables team-based editing, feedback, and collaborative workflows.Found in Avian, Uplyt Copilot
- Export options Provides options to export content in popular document formats.Found in Avian
- Multi-source data integration Connects with multiple data sources such as Google Analytics, Facebook Ads, and Google Ads to consolidate data.Found in Avian ChatGPT Plugin, Findly, Uplyt Copilot and 2 more
- Interactive data analysis Allows users to ask questions and receive immediate answers based on live data.Found in Avian ChatGPT Plugin, Fabi.ai Analyst Agent
- Quick setup Offers a streamlined setup process to get started rapidly.Found in Avian ChatGPT Plugin
- Data visualization Enables instant visualization of data to aid interpretation.Found in Avian ChatGPT Plugin, Fabi.ai Analyst Agent
- Privacy and security Ensures sensitive information remains protected during data handling.Found in Avian ChatGPT Plugin
- Smart search algorithms Prioritizes relevant results using advanced algorithms.Found in Findly
- Customizable filters Allows users to refine search outputs with customizable filters.Found in Findly
- Content preview Provides quick preview of content before opening full sources.Found in Findly
- Search history tracking Keeps a history of previous searches for easy revisiting.Found in Findly
- Real-time alerts Detects significant changes early and notifies users for quick response.Found in Uplyt Copilot
- AI-driven predictions Forecasts potential positive or negative impacts before they occur.Found in Uplyt Copilot
- Automated data analysis Automates complex data processing tasks to reduce manual workload.Found in Fabi.ai Analyst Agent, Roadway, Tabula
- Natural language query Allows users to interact with data using natural language queries.Found in Fabi.ai Analyst Agent
- Customizable dashboards Enables creation of customizable dashboards to visualize key metrics.Found in Fabi.ai Analyst Agent, Roadway, Tabula
- Data warehouse integration Connects directly to existing data warehouses to leverage company data infrastructure.Found in Roadway
- Automated growth analysis Delivers insights and recommended actions to optimize marketing campaigns.Found in Roadway
- Batch processing Handles multiple writing tasks simultaneously.Found in ZylerAI
- No-code interface Provides a no-code interface suitable for non-technical users.Found in Tabula
- Reusable data processing flows Automates routine analytics tasks with reusable flows.Found in Tabula
How it works, step by step
- Connect analytics, advertising and warehouse sources
- Ask questions in natural language and return answers from live data
- Visualize results as charts and dashboards
- Detect significant metric changes and alert owners
- Forecast likely positive or negative campaign impact
- Automate recurring data processing with reusable flows
- Generate written content such as articles, blogs and campaign copy
- Adjust tone and style to match brand rules
- Check grammar and spelling before release
- Run batch writing tasks across several briefs
- Search connected sources with ranked results and filters
- Preview source content before opening it
- Keep search history for revisiting earlier queries
- Support team editing, feedback and approval
- Export content and dashboards in common formats
- Compare the reviewed result with the recorded baseline and value assumptions
- Capture corrections and named-owner approval before publication
- Export a versioned reviewer-approved analysis and content linked to their evidence 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 Evidence-backed marketing analysis and content workspace 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 Evidence-backed marketing analysis and content workspace 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 links5 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 criteria14 KB
- demo/index.htmlThe working demo on sample data198 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 the gap between measured campaign data and published marketing copy. For marketing and growth teams that analyze campaign data and produce written content, convert connected analytics, advertising and warehouse sources plus brand style rules into reviewer-approved analysis and content linked to their evidence. The benefit is a testable hypothesis, measured through accepted content pieces per analyst hour and corrections after publication; do not assume that AI output alone produces business value.
Confirm the buyer's problem and scope, collect connected analytics, advertising and warehouse sources plus brand style rules, then follow this sequence: 1. Connect analytics, advertising and warehouse sources. 2. Ask questions in natural language and return answers from live data. 3. Visualize results as charts and dashboards. 4. Detect significant metric changes and alert owners. 5. Forecast likely positive or negative campaign impact. 6. Automate recurring data processing with reusable flows. 7. Generate written content such as articles, blogs and campaign copy. 8. Adjust tone and style to match brand rules. 9. Check grammar and spelling before release. Resolve uncertain cases with qualified reviewers, approve reviewer-approved analysis and content linked to their evidence, and measure accepted content pieces per analyst hour and corrections after publication 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 and reproducible tests. Review source-linked explanations and uncertainty before accepting results. Read-only source access and named reviewer accounts; final claims, forecasts and publication decisions 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. Named reviewers approve substantive claims and publication scope. Read-only source access and named reviewer accounts; final claims, forecasts and publication decisions 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: Read-only source access and named reviewer accounts; final claims, forecasts and publication decisions remain human. Implement one approved source set, a bounded representative case set and the first two task modules: connect analytics, advertising and warehouse sources; ask questions in natural language and return answers from live data. Support the remaining modules with operator review. 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
Client-owned analytics, advertising and warehouse accounts plus brand style guides. Cloud storage, document export and publishing destinations. Start with file exchange and validate destination specifications before promising direct publishing. Start with authorized read-only connections. Validate current provider access, usage rights and schema behavior before promising a connector.
The screens in detail
Primary screens: Source connections and brand rules, Analysis and content canvas, Review and delivery. Use a thumbnail gallery for projects, a large central editing canvas, and a right-hand panel for sources, filters, charts and comments. Let users compare versions side by side. Display draft, changes requested and approved states. Provide a client preview link with comments anchored to the relevant claim or chart. Make the task-specific outcome reviewer-approved analysis and content linked to their evidence visible beside its evidence, review state and value baseline.
