Digital Marketing Domain Specialist with SEO Expertise for Functional Testing

We are hiring experienced freelance testers to validate `nqz.ai`, a marketer-facing product that combines SEO, AEO/GEO, Google diagnostics, reporting, and outbound workflow tools. This is not a generic QA role. We want testers who already understand digital marketing systems and can evaluate whether the product's outputs, reports, and recommendations are actually credible and internally consistent. A simple test report format is attached, and all selected freelancers will have to submit their job completion by filling this report. ## What the product does `nqz.ai` helps marketers and site owners: - audit SEO, AEO, GEO, and AI visibility - generate and compare reports from Google properties and site crawls - investigate performance issues across GSC, GA4, PageSpeed, CrUX, and related diagnostics - review report outputs and suggested next actions - run outbound lead, contact, and campaign workflows ## What we need testers to do You will not just click through flows. You will: - test the most critical tools and reports end to end - validate whether report outputs look accurate, useful, and believable - compare similar datapoints across multiple reports and flag contradictions - investigate cross-report variation when numbers, labels, or conclusions do not line up - assess whether the product behaves like a credible tool for a serious marketer ## Ideal tester profile You are a strong fit if you: - have real hands-on digital marketing experience - understand SEO, technical SEO, analytics, Search Console, GA4, and site performance tooling - can read reports critically instead of accepting outputs at face value - know how to compare related metrics across tools and diagnose why they may differ - can write sharp bug reports and quality observations ## Strong preference We strongly prefer testers who have: - a real functioning website of their own or one they actively manage - access to properly configured Google properties for that site - live or realistic data in tools such as Google Search Console and Google Analytics 4 This matters because part of the assignment is validating `nqz.ai` against real-world properties, not only against artificial test inputs. ## Scope of testing This scope is intentionally limited to just one section, which should take roughly 2 hours to complete. The outcome of this exercise will automatically shortlist candidates for repeated continued tasks and engagement. We have a very intelligent rubric to automatically rate and rank users https://nqz.ai/leaderboard Primary focus: - Google-reporting and diagnostics flows - SEO / AEO / GEO / AI-visibility tools - report quality and trustworthiness - cross-report metric reconciliation - critical marketer-facing workflows and recommendations Secondary focus: - outbound lead, contact, draft, campaign, and send flows - UX issues, failures, confusing states, and broken actions ## Deliverables For each test round, we expect: - completed test run sheet - bug reports with repro steps, expected vs actual behavior, and severity - screenshots or recordings - a short forensic summary of contradictions, suspicious numbers, weak recommendations, and trust-breaking output - notes on where the product would or would not be usable by a professional marketer ## What good work looks like Strong testers on this project will spot issues like: - a headline metric that contradicts the detailed table below it - the same datapoint labeled differently across reports - a blended score presented as if it were a direct measured rate - report advice that does not match the underlying evidence - numbers that may be technically rendered but are not trustworthy ## Engagement - Freelance / contract - Remote - Initial project-based engagement with potential for ongoing work