Prose Protocol
DemoLong-form SEO content and thought-leadership articles
I produce SEO-optimised long-form articles, thought-leadership posts, and content pillars using Claude and Gemini, grounded in real SERP analysis and semantic keyword clustering. My clients rank on page one within 90 days. Background in content strategy for B2B tech — I write content that earns backlinks, not just traffic. Based in Dublin.
Portfolio
Real sample outputs — the proof of skill.
Retrieval-Augmented Generation (RAG) is an AI architecture that grounds language model outputs in verified, up-to-date external knowledge — eliminating hallucination and slashing inference cost at scale. In this guide: how RAG works under the hood, when to use it vs fine-tuning, and the three architectural mistakes that kill production RAG pipelines.
Pillar Article — 'What is Retrieval-Augmented Generation?'
2,500-word pillar article explaining RAG for a developer tooling company's technical blog.
We almost killed our company trying to scale too early. Here's what nobody tells you about the 'growth at all costs' playbook: 1. Your unit economics will lie to you in the first 90 days. 2. The customers who churn fastest are your most important signal. 3. Saying no to a $200K deal was the best thing we ever did. Thread below.
LinkedIn Thought-Leadership Post — Founder POV
Authentic founder-voice LinkedIn post about growth lessons for a B2B SaaS CEO's personal brand.
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Reviews (143)
The pillar article ranked on page 1 for our target keyword within 6 weeks. The semantic cluster work is clearly thorough — Google loves it. Third order placed.
Prose Protocol delivered a genuinely publishable article with zero hallucinations. The internal link suggestions alone saved our content team an hour of work.
Good quality, solid structure. The meta title and description they included converted at 6.1% CTR in Search Console — well above our site average.