I built Hovers.ai, an AI-powered SEO copilot that helps agencies, founders, and small businesses run SEO without juggling a dozen tools.
Most SEO workflows are messy: research in one tool, planning in spreadsheets, schema in a generator, content in docs, and publishing in WordPress. It's slow and scattered. Hovers pulls it all into one flow.
What Hovers does:
- Keyword Research + Topic Clusters – discover opportunities and organize content around themes
- 30-Day Content Calendar – auto-generated execution plan mapped to your keywords
- Research → Generate → Publish Flow – go from idea → draft → live post in minutes
- GSC Integration – track rankings, impressions, and clicks across your sites
- WordPress/Shopify Integration – one-click publishing from Hovers directly into your site
- AI-Suggested JSON-LD Schema – one-click structured data deployment
- SEO Task Manager – prioritize issues, fixes and content opportunities with a built in Kanban board
The core idea:
Spend 5 minutes a day reviewing the content calendar, approving drafts, and publishing, and keep your SEO engine running consistently.
Traction so far:
- Launched on X, got 30,000+ impressions and 80+ signups
- Reached $600 MRR last month
- Onboarded two enterprise clients
- Still working on smoothing the onboarding experience, some users drop off before seeing the full value
Where I'd love your input:
- Does this workflow (calendar + clusters + one-click publishing) feel like it would meaningfully reduce your SEO workload?
- If you've tried it, where did the onboarding or UX feel confusing or incomplete?
- What features would make this 10x more useful for agencies or founders running SEO with small teams?
I've bootstrapped this from scratch with my cofounder, and am shipping fast (new features weekly). If you're curious, you can try it here: https://hovers.ai
Happy to answer questions about the tech stack, SEO approach, or why I built this.