I need an SEO specialist who can architect an end-to-end, automated backlink acquisition workflow that relies heavily on AI while still meeting strict quality standards. The goal is to secure only relevant, high-authority links for multiple client campaigns—no low-quality mass submissions or spammy outreach. Current tool preference For backlink analysis I lean on AI SEO tools rather than traditional dashboards, but I’m open to seeing how you might weave in Ahrefs, SEMrush, or Moz if they plug cleanly into the automations you design. Feel free to outline any hybrid stack (APIs, Python, Zapier/Make, GPT-4, custom scripts, etc.) that will help us scale intelligently. What I’d like you to cover in your proposal • A brief tour of past work that proves you’ve already built or run AI-assisted link-building systems. • The toolchain you would select, and why each piece matters. • A step-by-step outline of the workflow, from prospecting through outreach, link placement, and quality verification. • Your safeguards for relevance, authority, anchor-text diversity, and spam-score control at scale. • How reporting will surface wins and flag issues automatically. Key deliverables 1. Documented architecture diagram and SOPs. 2. Working automations (scripts, workflows, or low-code scenarios) tested on one pilot domain. 3. Quality-control checklist with measurable thresholds (DA/DR targets, topical match, link location, etc.). 4. Final report summarizing results from the pilot round and next-step recommendations. Acceptance criteria • Every acquired link must meet the agreed authority metrics and pass an AI-driven relevance check. • The full process should run with minimal manual touchpoints once set up. • I can replicate or adapt the workflow for additional clients without rewriting core logic. If your past projects show you can marry AI ingenuity with white-hat SEO discipline, I’d love to review them and move forward.