GUIDE
GPT wrappers, fine-tuned models, autonomous agents — grow your AI products with AI-powered A/B testing, SEO content, and conversion optimization.
Merge one PR. Growth on autopilot.
HOW IT WORKS
Create AI tools that solve real problems better than alternatives. Whether you're wrapping APIs, fine-tuning models, or building agents, focus on outcomes not technology.
AI tools often have significant compute costs. Price to cover costs while delivering value. Consider tiered usage limits or usage-based pricing.
Connect your GitHub repo to Revnu. We open a PR that integrates AI agents. A/B test your docs landing page, write content targeting developer keywords, analyze where visitors drop off.
AI agents start testing, writing content, and analyzing users on your existing site. Focus on outcomes and use cases.
AI tools improve with feedback. Launch early, gather usage data, and continuously improve your models and features.
Create AI tools that solve real problems better than alternatives. Whether you're wrapping APIs, fine-tuning models, or building agents, focus on outcomes not technology.
AI tools often have significant compute costs. Price to cover costs while delivering value. Consider tiered usage limits or usage-based pricing.
Connect your GitHub repo to Revnu. We open a PR that integrates AI agents. A/B test your docs landing page, write content targeting developer keywords, analyze where visitors drop off.
AI agents start testing, writing content, and analyzing users on your existing site. Focus on outcomes and use cases.
AI tools improve with feedback. Launch early, gather usage data, and continuously improve your models and features.
Bill by API calls, tokens, or compute time. Match pricing to your actual costs while scaling with customer usage.
AI writes articles targeting keywords in the AI tools space. Get found by developers and users searching for solutions.
AI watches how visitors interact with your site. Finds where users drop off in signup and onboarding flows.
Track competing AI tools and their positioning. Know when they change pricing, launch features, or target new keywords.
WHAT'S INCLUDED
No piecing together 5 different tools. Revnu includes everything you need to grow your software business.
| Feature | Included |
|---|---|
| Multi-Variant A/B Testing | Included |
| AI SEO Content | Included |
| Session Replay Analysis | Included |
| Automated Site Audits | Included |
| Competitor Intelligence | Included |
| Pricing Experiments | Included |
| Daily Growth Reports | Included |
| New Capabilities Weekly | Included |
ALL INCLUDED
One flat price.
Book a call to see how Revnu fits your business. See pricing.
PRO TIPS
AI has real per-request costs. Target 50%+ gross margin. Negative margin means growth kills you. Price accordingly.
Generic 'AI writing tool' competes with everyone. 'AI for Shopify product descriptions' has a clear audience.
Common queries, similar prompts, repeated patterns. Caching cuts costs and improves response times. Optimize early.
50 queries/month for exploration. Enough to try, not enough for production. Obvious upgrade path when they need more.
PRICING
AI growth agents for your business. Book a call to get onboarded.
All the things you know you should do but never get round to. Done automatically.
Everything included. Book a call to get started.
FAQ
Track usage in your system and report to Stripe for metered billing. Or use subscription tiers with included usage and overage charges. Revnu supports both models.
Price to cover costs with healthy margin. Monitor cost per customer. Consider tiered models where high-usage customers pay proportionally more. Optimize with caching and model selection.
Usually yes for discovery. Limit usage (queries/day or /month) to prevent abuse while allowing evaluation. Convert free users with feature limits or usage prompts.
Specialization, workflow integration, and UX. ChatGPT is general; your tool should be specific. Embed in existing workflows, use domain expertise to improve prompts, and make the interface friction-free for your use case.
Essential for AI tools. Implement per-user and per-tier limits. Return clear error messages when limits hit. Provide usage dashboards so users can track their consumption.
Enterprise typically wants: data privacy guarantees, SLAs, custom limits, dedicated support. Consider private deployments or data isolation for sensitive use cases.
Use foundation models unless you have clear differentiation from training. Fine-tuning makes sense for specific domains with proprietary data. Building from scratch is rarely justified.
Input validation, output filtering, rate limiting, and monitoring. Build guardrails appropriate to your use case. Some abuse is inevitable; plan for detection and response.
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