Primary outcome
The AI Visibility Audit is a diagnostic engagement.
PROMEDIA WORKS / GEO
AI Visibility Audit
An AI Visibility Audit measures a brand's baseline across AI-assisted search and answer systems. It reviews commercial questions, brand and competitor mentions, answer context, cited sources, entity consistency, technical accessibility and the path from visibility to qualified enquiry.
STRATEGYSYSTEMADOPTION
A direct answer
AI Visibility Audit in practice
An AI Visibility Audit measures a brand's baseline across AI-assisted search and answer systems. It reviews commercial questions, brand and competitor mentions, answer context, cited sources, entity consistency, technical accessibility and the path from visibility to qualified enquiry.
For AI Visibility Audit, discovery starts with the operating decision rather than a pre-selected platform; sources, human responsibility, constraints and acceptance evidence are written before implementation.
AI visibility audit · GEO audit · AI search audit Turkey
AUDIT, NOT IMPLEMENTATION
Use this when you need a measurable baseline before changing content or technical architecture.
The AI Visibility Audit is a diagnostic engagement. It maps where the brand appears, which entities and sources are cited, where competitors are preferred, and which queries fail to surface the organisation. It does not pretend that an audit alone fixes visibility. The outcome is a prioritised evidence set, benchmark and implementation brief that can be handed to an internal team or used as the first phase of a broader GEO programme.
Best-fit buyer
A clearly defined owner, business problem and success measure are required before implementation begins.
Boundary
The service is positioned against adjacent offers so that audit, implementation, automation and agent development do not compete for the same search intent.
Next step
A discovery call confirms whether this page or an adjacent service is the correct route.
DECISION-SPECIFIC SCOPE
AI Visibility Audit: scope, evidence and acceptance
An AI Visibility Audit measures a brand's baseline across AI-assisted search and answer systems. It reviews commercial questions, brand and competitor mention The page is intentionally bounded around the decisions below so it does not compete with adjacent services through generic, repeated claims.
Operating audience and ownership
The scope distinguishes sponsor, process owner, end user and governance reviewer so responsibility does not disappear inside the technology.
- B2B service and technology companies
- Expert-led brands and professional services
- Organisations targeting English-speaking international buyers
Constraints that must be evidenced
Each constraint is converted into a current baseline, a named owner and an observable cost before solution options are compared.
- The brand is absent or misrepresented in AI answers
- Services and expertise are not machine-readable or consistent
- Content, citations and lead measurement are disconnected
Controlled starting points
A candidate advances only when its inputs, authority boundary, reviewer, failure path and decision date can be made explicit.
- ChatGPT, Gemini, Perplexity and Google AI tests
- Competitor and citation comparison
- Entity and technical SEO review
- Prioritised 90-day improvement plan
Defined handover
The expected handover is organised around AI visibility baseline; Question-page-evidence matrix; Technical and content implementation plan; Citation and conversion measurement framework. Each item must identify its source evidence, owner, review point and the next decision it supports.
What makes this page distinct
The visibility audit is a dated diagnostic baseline. It records prompts, markets, answers, cited sources and technical/content gaps; implementation and recurring monitoring are separately scoped decisions.
PROMEDIA WORKS
Turn AI into a working business system.
Describe the business problem, current workflow and expected outcome. We will respond with the right discovery path.