What we review
Scope is agreed around your brand, audience, markets and priority discovery questions.
- Search query and AI answer observations
- Brand mentions, citation context and source quality
- Entity consistency, content and technical access
A clear starting point
An audit establishes an evidence-based baseline and a prioritized plan. It reports observed signals and limitations rather than claiming access to private model data.
A connected practice
Each engagement starts with the context, constraints and evidence that matter for your team.
Scope is agreed around your brand, audience, markets and priority discovery questions.
A useful audit turns observations into clear decisions and owners.
Recommendations can be implemented by your team or scoped into a follow-up engagement.
Working sequence
01 / Understand
Map the audience, systems, constraints and evidence.
02 / Prioritize
Agree the most useful opportunity and how to evaluate it.
03 / Implement
Deliver or coordinate the work with clear owners and review.
04 / Learn
Review what changed, document limits and set the next decision.
Evidence
No case studies are published yet. We only share work after details and outcomes have been reviewed; no client results are invented.
Questions
We begin with your goals, current systems and available evidence, then agree a focused scope for AI Visibility Audit.
We agree observable signals and reporting limits before work begins. Outcomes depend on the market, implementation and systems outside any single team's control.
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Next step