Technical practice
How would you build an organic and AI visibility roadmap for an enterprise client?
What to coverThe role owns client strategy, execution and reporting across both areas. Preparation suggestion: explain how you would assess the starting point, prioritise opportunities and dependencies, and turn findings into a roadmap that can be reviewed against results.
How would you diagnose a decline in organic search performance?
What to coverThe posting calls for strong technical SEO foundations and use of GA4, Google Search Console and SEMrush. Preparation suggestion: distinguish measurement changes from search or site issues, then explain how you would test likely causes and prioritise fixes.
How would you assess a client's entities and structured data?
What to coverEntity and structured data strategy is part of the stated service mix. Preparation suggestion: discuss whether the site's content and markup consistently describe the brand and its offerings, how you would validate markup, and why markup alone cannot guarantee AI visibility.
How do retrieval, grounding and citations affect a brand's presence in AI answers?
What to coverWorking knowledge of RAG, grounding and entity recognition is explicitly requested. Preparation suggestion: explain these concepts in plain language, including why a brand mention and a cited source are different signals and why results can vary.
How would you configure prompt tracking and competitor sets in an AI visibility platform?
What to coverThe role sets up the platform, prompt tracking, competitor sets and reporting templates; platform experience is preferred. Preparation suggestion: describe how you would choose representative prompts and competitors, keep comparisons consistent, and document measurement limitations.
What would an AI visibility audit and GEO methodology include?
What to coverThe manager is expected to build audit frameworks and a GEO methodology. Preparation suggestion: outline a repeatable way to assess current visibility, relevant content and technical foundations, competitor presence, and opportunities, separating observations from unproven causes.
How would you improve content for AI Overviews and other AI surfaces?
What to coverThe service mix includes content strategy and AI Overview optimisation, and the role develops AI-readable content standards. Preparation suggestion: discuss clear, useful, well-supported answers and how you would evaluate changes without promising inclusion in any AI-generated response.
How would you approach a zero-click strategy?
What to coverDeveloping zero-click strategy playbooks is a stated responsibility. Preparation suggestion: explain how you would balance visibility and useful answers on search or AI surfaces with reasons to visit the site, while acknowledging that clicks alone may miss some outcomes.
How would you produce an insight-led monthly report across organic search and AI visibility?
What to coverMonthly client reporting and proficiency with GA4, Google Search Console and SEMrush are specified. Preparation suggestion: show how you would connect each source and AI visibility observations to the client's goals, explain conflicting signals, and recommend next actions rather than list metrics.
How would you automate briefs, schema, audits or reporting without compromising quality?
What to coverThe posting calls for simple reusable AI-assisted automations within quality governance. Preparation suggestion: choose one stated task and explain its inputs, human review, validation and failure checks, including when manual work would be safer.
Behavioural practice
When have you explained a complex search concept to a non-technical client?
What to coverClient workshops and clear communication with senior stakeholders are part of the role. Suggested preparation: give a real situation, the explanation or demonstration you chose, and the resulting decision or understanding.
When have you had to prioritise competing needs across client accounts?
What to coverThe manager owns a client portfolio and must prioritise effectively. Suggested preparation: describe the competing demands, how you made and communicated trade-offs, and the result.
When have you helped colleagues adopt a new method or tool?
What to coverTraining the wider team and sharing techniques are stated responsibilities. Suggested preparation: describe the team's starting point, your training or support, and evidence of what changed.
When have you contributed specialist expertise to a pitch or senior-stakeholder briefing?
What to coverThe role supports AI visibility pitches, proposals and landscape briefings. Suggested preparation: give a real example of the situation, how you made the technical case credible and accessible, and the outcome without claiming sole credit.
When have you changed your approach as search evidence or technology evolved?
What to coverThe posting emphasises a developing AI search practice and keeping up with industry changes. Suggested preparation: describe the new evidence, how you tested or challenged your initial view, and what changed as a result.