Quality Analyst (Ai Visibility)

About the role

The QA Analyst is responsible for ensuring the quality, accuracy, consistency, and completeness of all AiDisco deliverables before they are sent to clients. The QA Analyst is the final quality gate before client submission. No client-facing deliverable should be submitted until it has passed QA. This role reviews work produced across the delivery team against AiDisco's standards for AI SEO, GEO, AEO, content quality, technical accuracy, AI discoverability, metadata, schema, internal linking, and overall presentation. The QA Analyst does not own client strategy and is not expected to rewrite deliverables from scratch. Instead, they validate work against established standards, identify issues, provide clear and actionable feedback, and ensure required corrections have been completed before approving a deliverable for submission. The QA Analyst is also responsible for continuously improving AiDisco's QA standards based on evolving AI search, GEO, AEO, SEO, and industry best practices.

Key responsibilities

• Act as the final quality gate for all client-facing deliverables, reviewing deliverables before submission including AI visibility audits, content briefs, content, metadata, schema recommendations, authority and citation reports, AI visibility reports, monthly client deliverables, and other client-facing delivery outputs
• Check deliverables for accuracy and completeness, clear structure and formatting, alignment with AiDisco templates and standards, correct use of headings, answer-first content structure, appropriate use of FAQs, tables, summaries, and supporting sections, metadata completeness and quality, schema accuracy and completeness, internal linking recommendations, prompt-to-content alignment, AI search and citation readiness, factual consistency, and overall clarity, consistency, and professionalism
• Validate whether content has been executed according to the approved brief, target prompts, and AiDisco's AI visibility standards, ensuring target prompts are clearly addressed, important questions receive direct answers, content matches the intended search and user intent, content demonstrates appropriate topical depth, pages contain appropriate supporting information, FAQs are useful and relevant, internal links support the intended topic structure, metadata accurately represents the page, and content is structured to support AI retrieval, recommendation, and citation
• Review technical recommendations and outputs for completeness and consistency, including metadata, canonicals, indexability recommendations, internal linking, schema recommendations, structured data requirements, sitemap-related recommendations, and AI crawler accessibility recommendations
• Provide clear and actionable feedback to Pod Leads, AI Content Engineers, AI Visibility Specialists, Authority & Citation Specialists, and other relevant delivery team members, identifying what is wrong, why it does not meet the standard, what needs to be corrected, and who should correct it
• Verify that required corrections have been completed before approving the deliverable for client submission
• Own and continuously improve AiDisco's internal QA standards by staying informed about developments and best practices across AI SEO, Generative Engine Optimisation (GEO), Answer Engine Optimisation (AEO), AI search, search engine optimisation, structured data and schema, AI crawler behaviour, AI citation and retrieval, and content quality and information architecture
• Refine QA checklists, deliverable review templates, content review standards, technical QA standards, AI SEO/GEO/AEO review criteria, recurring issue logs, revision tracking, and delivery quality benchmarks
• Maintain QA trackers, record QA results, track revisions, maintain recurring issue logs, identify patterns across deliverables, escalate repeated quality issues, and monitor QA turnaround times
• Review assigned deliverables within 24 to 48 hours, maintain QA trackers across assigned accounts, complete required QA checklists, produce weekly QA summaries, maintain a recurring issues log, and escalate repeated quality problems

About you

• 2 to 4 years of relevant experience, with strong exposure to AI SEO, GEO, AEO, SEO, AI search optimisation, or related disciplines
• Strong understanding of how content is structured for AI search, retrieval, recommendation, and citation
• Strong understanding of modern SEO and AI search best practices
• Exceptional attention to detail
• Ability to review headings, metadata, FAQs, internal links, schema recommendations, and page structure
• Ability to evaluate content against target prompts and search intent
• Comfortable working with spreadsheets and structured checklists
• Strong written communication
• Analytical and systematic mindset
• Ability to identify inconsistencies across complex deliverables

Benefits

• 13th month pay
• HMO coverage
• Paid leave
• Government-mandated benefits
• Fully remote working arrangement