
RankEarly
Know what to write. Create it with AI.
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- Follow on
- @tao_pmf
- Target Audience
- Content CreatorsMarketersGrowth Hackers
- Pricing
- Subscription from $29
- Platforms
- Web
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How AI and people discover RankEarly on PeerPush
About RankEarly
RankEarly is a keyword research and AI writing platform that runs inside Claude, Codex, or any MCP-compatible agent. We also offer a done-for-you blog writing service — share what you know about your business and we deliver articles ready to publish.
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Product Updates (1)
First update of RankEarly
Hey PeerPush 👋 I'm Tao, building RankEarly. Every SEO tool I tried handed me a dashboard and left the actual work — what to write and why it'll rank — to me. AI editors sped up typing but I still had to figure out the strategy. So I built the workflow I wanted: **1. Know what to write.** Drop a topic or seed keywords. RankEarly expands them into hundreds of real search terms with volume, difficulty, intent, and SERP snapshots, then clusters them into a topical map you can plan against. **2. Validate before you write.** Each keyword gets a Winnable / Hard to Win verdict from 7 SERP signals. **3. Create it with AI.** Turn an approved angle into a brief, then let your agent research, draft, audit against E-E-A-T criteria, and polish. The skills bundle plugs into Claude, Codex, and OpenClaw. **Two ways to use it:** **→ Self-serve platform — $29/mo.** Run it yourself, in the web app or behind your favorite MCP agent. 4.8x cheaper than Semrush's lowest plan. **→ Human+AI Blog Writing — done-for-you $149 per 5-posts** You share what you know about your business; we deliver finished articles ready to publish, written for both search engines and AI answer engines. Every article goes through a seven-step editorial workflow ending in a content-writer sign-off, and your business-context document gets reused across every post so your voice stays consistent. Topic approval *before* any writing starts, payment only after topics are approved, and pro-rata refunds if you stop partway. Would love your feedback — especially on the topical map and the agent skills.
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