System 03 — SEO content platform
Rankshoot Live in production
Other AI tools generate words. Rankshoot creates content built to rank.
Rankshoot is a research-backed SEO content platform that turns real search data and verifiable sources into publish-ready articles in Arabic and English. It holds each brand's own data as context and runs every article through search research, source-grounded writing, and a two-layer quality gate — so what publishes is accurate, on-brand, and genuinely built to rank.
Generic AI writing tools produce vague, forgettable output. They don't know the real data of the business they're writing for, and they don't know its competitors — so what comes out fails in three ways. It's generic, with no brand identity or voice. It's untrustworthy, inventing facts — a problem that gets worse in Arabic and worst in sensitive topics. And it has no quality control, shipping whatever it generates with no review gate.
I built Rankshoot to hold each brand's real data as context, guided by system prompts written with SEO experts. Every article follows one clear path. First, search research: the system analyzes the top-ranking competitors, the questions people actually ask, and the real gaps in existing coverage. Second, source-grounded writing: it builds the article section by section from real extracted sources, with no invented facts. Third, a two-layer quality gate: an automated multi-axis check, then expert human review, before anything is approved.
- Each brand's real data is stored and held as context for every article.
- System prompts written with SEO experts guide the model at each step.
- A three-stage pipeline: search research, source-grounded writing, then a quality gate.
- The quality gate is two layers — an automated multi-axis check, then expert human review before approval.
- Per-project isolation: brand-voice memory and a secure publishing connection for each site.
Brand-data context
Holds each brand's real data as context, guided by SEO-expert system prompts.
Search research
Analyzes top-ranking competitors, the questions people ask, and real gaps in coverage.
Source-grounded writing
Builds each article section by section from real extracted sources — no invented facts.
Two-layer quality gate
An automated multi-axis check, then expert human review, before approval.
Multi-site memory
Per-project brand-voice memory for agencies and multi-site operators.
WordPress publishing
Direct publishing to WordPress over a secure per-project connection.
- Arabic-native quality, written to read naturally — not machine translation
- Research-grounded: every claim traces back to a verifiable source
- A real two-layer quality gate: automated checks plus expert human review
- Built to rank: clear structure, matched search intent, internal links, per-page schema
- Multi-site with per-project brand-voice memory
- Direct publishing to WordPress over a secure per-project connection
Rankshoot is live and in use by business owners, marketing managers, and marketing agencies. It is one of the systems in this portfolio marked Live.
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