Resources for consumer AI app teams

Find the right guide for revenue, product protection and integration.

16 resources

Monetization

Is this economically useful for my consumer AI app?

Ad revenueEstimate revenue from eligible placements, fill and publisher share.Monetization optionsCompare subscriptions, credits and advertising, and how to combine them.

Product & data

Will this protect my product and users?

SafetyAdvertiser controls, consent, data boundaries and your role as a publisher.Data firewallWhat can reach advertising partners, and what stays behind the firewall.

AI advertising

How does advertising work in an AI experience?

Loader adsShow separate ads while an image, video or music generation runs.About wavebirdThe company, its principles and its place in the advertising market.Use casesExplore placements for chat, media creation and other consumer AI apps.

Integration

How do we build it?

APIRequest an ad from your backend and display it in your app.SDKUse the wavebird package to work with the API in your code.Script TagAdd the browser script and connect placement and consent settings.QuickstartConnect your first placement, from request to display.Integration pathsChoose between API, SDK and Script Tag for your application.

Standards & evidence

Can I verify and defend this internally?

Compute SponsoringThe current paper on separating advertising from AI generation.Proof integrity whitepaperHow signed delivery records can be checked.Engineering evidenceEngineering benchmarks and measured results.Data protection impact assessmentProcessing, safeguards and risks to assess for your integration.

Ready to build?

Choose API, SDK or Script Tag. Share the integration guide with your developer.

Compare integration pathsTalk to usDownload API guide